Ran notebooks to reflect css changes.

00-Preface.ipynb

@@ -33,21 +33,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira_sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
        "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
+       "\n",
+       ".CodeMirror pre {\n",
+       "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
+       "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 800px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
-       "        font-size: 11pt;\n",
-       "        font-style: bold;\n",
+       "        font-weight: 400;\n",
+       "        font-size: 12pt;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -56,7 +98,7 @@
        "\t\n",
        "    div.input_area {\n",
        "        background: #F6F6F9;\n",
-       "        border: 1px solid #586e75;\n",
+       "        border: 1px solid #586e75;      \n",
        "    }\n",
        "\n",
        "    .text_cell_render h1 {\n",
@@ -115,6 +157,7 @@
        "    h5 {\n",
        "        font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "    }\n",
+       "\n",
        "    .text_cell_render h5 {\n",
        "        font-weight: 200;\n",
        "        font-style: normal;\n",
@@ -125,14 +168,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        font-family: 'Fira sans', verdana,arial,sans-serif;\n",
-       "        line-height: 150%;\n",
-       "        font-size: 110%;\n",
-       "        font-weight: 400;\n",
-       "        text-align:justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -149,7 +184,8 @@
        "}\n",
        "\n",
        "    code{\n",
-       "      font-size: 70%;\n",
+       "        font-size: 6pt;\n",
+       "\n",
        "    }\n",
        "    .rendered_html code{\n",
        "    background-color: transparent;\n",
@@ -242,7 +278,8 @@
        "<script>\n",
        "    MathJax.Hub.Config({\n",
        "                        TeX: {\n",
-       "                           extensions: [\"AMSmath.js\", \"autobold.js\"]\n",
+       "                           extensions: [\"AMSmath.js\"],\n",
+       "                           equationNumbers: { autoNumber: \"AMS\", useLabelIds: true}\n",
        "                           },\n",
        "                tex2jax: {\n",
        "                    inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
@@ -250,7 +287,7 @@
        "                },\n",
        "                displayAlign: 'center', // Change this to 'center' to center equations.\n",
        "                \"HTML-CSS\": {\n",
-       "                    scale:100,\n",
+       "                    scale:95,\n",
        "                        availableFonts: [],\n",
        "                        preferredFont:null,\n",
        "                        webFont: \"TeX\",\n",

01-g-h-filter.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -332,7 +364,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x4d335f8>"
+       "<matplotlib.figure.Figure at 0x4e392e8>"
       ]
      },
      "metadata": {},
@@ -366,7 +398,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7a85a90>"
+       "<matplotlib.figure.Figure at 0x73f1400>"
       ]
      },
      "metadata": {},
@@ -397,7 +429,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fb8f98>"
+       "<matplotlib.figure.Figure at 0x807cda0>"
       ]
      },
      "metadata": {},
@@ -414,7 +446,7 @@
    "source": [
     "Here we can see that the only possible weight is 161 lbs. This is an important result. With two relatively inaccurate sensors we are able to deduce an extremely accurate result.\n",
     "\n",
-    "> So two sensors, even if one is less accurate than the other, is better than one.\n",
+    "So two sensors, even if one is less accurate than the other, is better than one.\n",
     "\n",
     "However, we have strayed from our problem. No customer is going to want to buy multiple scales, and besides, we initially started with an assumption that all scales were equally (in)accurate. This insight of using all measurements regardless of accuracy will play a large role later, so don't forget it.\n",
     "\n",
@@ -432,7 +464,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Average of measurements is 165.0092\n"
+      "Average of measurements is 165.0001\n"
      ]
     }
    ],
@@ -465,7 +497,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Average of measurements is 165.0151\n"
+      "Average of measurements is 164.9519\n"
      ]
     }
    ],
@@ -499,7 +531,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fead68>"
+       "<matplotlib.figure.Figure at 0x8099b38>"
       ]
      },
      "metadata": {},
@@ -530,7 +562,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x811ddd8>"
+       "<matplotlib.figure.Figure at 0x77e2470>"
       ]
      },
      "metadata": {},
@@ -559,7 +591,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8161400>"
+       "<matplotlib.figure.Figure at 0x81d07f0>"
       ]
      },
      "metadata": {},
@@ -590,7 +622,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x80793c8>"
+       "<matplotlib.figure.Figure at 0x81dfeb8>"
       ]
      },
      "metadata": {},
@@ -622,7 +654,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7a66ef0>"
+       "<matplotlib.figure.Figure at 0x823bbe0>"
       ]
      },
      "metadata": {},
@@ -657,7 +689,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x81700f0>"
+       "<matplotlib.figure.Figure at 0x81f8080>"
       ]
      },
      "metadata": {},
@@ -686,7 +718,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8024f28>"
+       "<matplotlib.figure.Figure at 0x80e2898>"
       ]
      },
      "metadata": {},
@@ -729,7 +761,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7feaf28>"
+       "<matplotlib.figure.Figure at 0x82a6fd0>"
       ]
      },
      "metadata": {},
@@ -786,7 +818,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x81e9780>"
+       "<matplotlib.figure.Figure at 0x82ece10>"
       ]
      },
      "metadata": {},
@@ -850,7 +882,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x92d1668>"
+       "<matplotlib.figure.Figure at 0x9382160>"
       ]
      },
      "metadata": {},
@@ -892,7 +924,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x81730f0>"
+       "<matplotlib.figure.Figure at 0x805fda0>"
       ]
      },
      "metadata": {},
@@ -983,7 +1015,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7389470>"
+       "<matplotlib.figure.Figure at 0x8098ef0>"
       ]
      },
      "metadata": {},
@@ -1169,7 +1201,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 1.  2.  3.]\n"
+      "[ 1.0  2.0  3.0]\n"
      ]
     }
    ],
@@ -1284,20 +1316,20 @@
      "output_type": "stream",
      "text": [
       "addition:\n",
-      " [[ 2.  4.]\n",
-      " [ 6.  8.]]\n",
+      " [[ 2.0  4.0]\n",
+      " [ 6.0  8.0]]\n",
       "\n",
       "element-wise multiplication\n",
-      " [[  1.   4.]\n",
-      " [  9.  16.]]\n",
+      " [[ 1.0  4.0]\n",
+      " [ 9.0  16.0]]\n",
       "\n",
       "multiplication\n",
-      " [[  7.  10.]\n",
-      " [ 15.  22.]]\n",
+      " [[ 7.0  10.0]\n",
+      " [ 15.0  22.0]]\n",
       "\n",
       "dot is also a member of np.array\n",
-      " [[  7.  10.]\n",
-      " [ 15.  22.]]\n"
+      " [[ 7.0  10.0]\n",
+      " [ 15.0  22.0]]\n"
      ]
     }
    ],
@@ -1329,12 +1361,12 @@
      "output_type": "stream",
      "text": [
       "transpose\n",
-      " [[ 1.  3.]\n",
-      " [ 2.  4.]]\n",
+      " [[ 1.0  3.0]\n",
+      " [ 2.0  4.0]]\n",
       "\n",
       "inverse\n",
-      " [[-2.   1. ]\n",
-      " [ 1.5 -0.5]]\n"
+      " [[ -2.0  1.0]\n",
+      " [ 1.5  -0.5]]\n"
      ]
     }
    ],
@@ -1362,17 +1394,17 @@
      "output_type": "stream",
      "text": [
       "zeros\n",
-      " [ 0.  0.  0.  0.  0.  0.  0.]\n",
+      " [ 0.0  0.0  0.0  0.0  0.0  0.0  0.0]\n",
       "\n",
       "zeros(3x2)\n",
-      " [[ 0.  0.]\n",
-      " [ 0.  0.]\n",
-      " [ 0.  0.]]\n",
+      " [[ 0.0  0.0]\n",
+      " [ 0.0  0.0]\n",
+      " [ 0.0  0.0]]\n",
       "\n",
       "eye\n",
-      " [[ 1.  0.  0.]\n",
-      " [ 0.  1.  0.]\n",
-      " [ 0.  0.  1.]]\n"
+      " [[ 1.0  0.0  0.0]\n",
+      " [ 0.0  1.0  0.0]\n",
+      " [ 0.0  0.0  1.0]]\n"
      ]
     }
    ],
@@ -1523,7 +1555,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x930ee80>"
+       "<matplotlib.figure.Figure at 0x80755f8>"
       ]
      },
      "metadata": {},
@@ -1615,9 +1647,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5UAAADTCAYAAAARQTc/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5UAAADZCAYAAACw2hRZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x817bb70>"
+       "<matplotlib.figure.Figure at 0x82bc7b8>"
       ]
      },
      "metadata": {},
@@ -1652,9 +1684,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAukAAADaCAYAAAAbtdwhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsfXmcFMXZ/9OzBzfLrYCIoigIisBqoiYxiUZjTmMSk/iq\n8TX55XiTiBoTNV4x8Y5G8UJFFEFFwFsEUZTL5VyOXZZ72WWXve97d3Znpn9/9HR3VXVVdfU1M7vU\n148fdrrr6jqeeuqp51BUVVVBQkJCQkJCQkJCQiJlEEp2AyQkJCQkJCQkJCQkcEgmXUJCQkJCQkJC\nQiLFIJl0CQkJCQkJCQkJiRSDZNIlJCQkJCQkJCQkUgySSZeQkJCQkJCQkJBIMUgmXUJCQkJCQkJC\nQiLFIJl0CQkJCQkJCQkJiRRD4Ez6ww8/DKFQCG666aagq5KQkJCQkJCQkJDoEwiUSd+yZQvMnz8f\nZsyYEWQ1EhISEhISEhISEn0KgTHpzc3NcO2118Krr74Kw4YNC6oaCQkJCQkJCQkJiT6HwJj03/3u\nd3D11VfDxRdfHFQVEhISEhISEhISEn0S6UEUOn/+fCgqKoIlS5YEUbyEhISEhISEhIREn4bvTPqh\nQ4fgrrvugpycHAiF+IL65uZmv6uXkJCQkJCQkJCQSBiysrICKVdRVVX1s8DXXnsNbrzxRoxBj0aj\noCgKpKWlQXt7O2RkZACAZNIlJCQkJCQkJCR6N3oNk97S0gJlZWXYsxtuuAHOOOMMuOuuu2Dq1KnG\nc8mkS0hISEhISEhI9GYExaT7ru4ydOhQOOuss7BngwYNghEjRmAMOomgPlAiMcjNzQUAgOzs7CS3\nRMIr5Fj2Dchx7DuQY9l3IMey7yARguaERBxVFCUR1UhISEhISEhISEj0CQTi3YXEF198kYhqJCQk\nJCQkJCQkJPoEEiJJl5CQkJCQkJCQkJAQh2TSJSQkJCQkJCQkJFIMkkmXkJCQkJCQkJCQSDFIJl1C\nQkJCQkJCQkIixSCZdAkJCQkJCQkJCYkUw3HFpH+8+U148cMHkt0MCQkJCQkJCQkJCS6OKyZ958GN\nsLc4N9nNkJDwhM5wB2zZ+3mymyEhISEhISERII4rJl1Coi9g9+EceHPNM8luhoSEhISEhESAkEy6\nhISEhISEhISERIpBMukSEhISEhISEhISKQbJpEtISEhISEhISPQaRKORZDchIZBMuoREL4Oa7AZI\nSEhISEgkEbc8+zNo62xJdjMCh+9M+vPPPw8zZsyArKwsyMrKggsvvBBWrlzpdzUSEhISEhISEhLH\nKcI9ncluQuDwnUmfMGECPPbYY7Br1y7YsWMHfPvb34Yrr7wSCgoK/K5KQuK4hJLsBkhISEhISEgE\njnS/C/zhD3+I/X7ggQdg3rx5sHnzZpg+fbrf1UlISEhISEhISEj0OfjOpKOIxWKwbNkyaG9vhwsv\nvDDIqsSgSBmkhISEhISEhESvx3FgoBUIk15QUAAXXHABdHV1wZAhQ+C9996DadOmcfPk5gYfCbSr\nqzNhdR2vkH0bPI5WHQWA4PtajmXfgBzHvgM5ln0Hciy9I39PPgzpPzxp9U+ePDnwOgLx7jJlyhTI\ny8uDbdu2wR//+Ee4/vrrYd++fUFUJSEhISEhISEhISGENXvfhKaO2mQ3QwiBSNLT09Nh0qRJAAAw\nc+ZM2LZtGzz55JMwf/58Zp7s7OwgmoJh1d4B0NrVmJC6jjfoUgHZt8Gjp6ARNh8Jrq/lWPYNyHHs\nO5Bj2Xcgx9IfLMoBmD59OoweNtZF3gcgfUgEsmd6G4Pm5mZP+UWQED/psVgMwuFwIqriQz0OFJgk\n+jzkLJaQ6Pu466Vfw+GyPcluhoSERBLhO5N+5513wpdffgklJSVQUFAAd955J6xfvx6uvfZav6s6\nrnHz01dBS3tTspshISEhIREAWjubobjyYLKbISHRJ6H0EkcivjPpVVVVcN1118GUKVPg0ksvhR07\ndsAnn3wCl112md9VOUd8UGKxKBwo2Z3kxnhDTI1BU1tdspsh0QtwxwvXQri77wd9kJDoc5C3vxIS\nxzV810l/9dVX/S7SP8QJXmH5Pnj+/X/C03PeT3KDJI4XqKoKMTUGaaG0hNfdEW6D9q5W6Jc5IOF1\nS0hISIhiT9E2aG5rgK+d891kN0VCIiWQEJ301EPfkE70lusaCYDtB9bBLc/8NNnNkJCQkEhZvL32\nJVi29oVkN6NX4Mv8T+D+V3+f7GZIBIzji0mnMLWxWBQOlxUkoTF+oO8z6dFYFLYfWJfsZnhGbVNF\nspsgISEhkdJQ+4gALRE4eCwP6luqk92MpEI9DtTBji8m3YDJ3B48lg/PvHN3Etty/KGgaDuUVhcK\npS2vLYbFq58KuEWJQN8/UElISEhIJAjHAYNqj77fB8cpk25CVWPJboJr9FZtl5c+ehAWfyrGePcV\nlZ7kf0ey65eQkJDgo++zXP5B3jocHzgumfSk80s+QZGMV6+BouBLLdzdKXxVWd/sx5WmJOgSEhIp\nDikdFsbxoOphh+OhB45LJh2XKvZmRjd5bQ93d8JNc69MWv29DeRILV/3kpDRT0+kB+5fKI2DJBKP\naCwKG/NWJrsZxzWOByYEhVvpcDQaYb4Ld3fC40tuc9uklMXxNjeOVxynTHrfQDJvBDq7O5JXeS8E\nKUnv4vgt7wi3GX+rgKtj5exZDfuP7nDTAhd57BGLRWFD3seBlC0RDHoiPRATUPOraSyH5eteSkCL\nJI4X3DT3SmjvbGEncMF51jSWwy3P/oz5vqmtHkprrDZQqqpCLBZ1XmGqoBdK0qOxKHSG2z2XY9wi\n9MI+cIrjkklPvn6wX+i93yGuqtN7vxEFOed4/tLveOFaaGytpb5b+sU8yDuyxUULgiFmze0N8Pa6\n+YGULREM/vrcz+GjnMW26Xqzvc7xhpvmXgk9kZ5kN0MIPAGFG0l6G4/p5+DT7cvh5l7sFrc3qrus\n3roMbn/hfzyXo88Tr3r5L330UMqvm+OTSUf/7sUMe29uu+ji6sWfiIE8lKSl8eOIdUe6tT9SnA6L\nSGQlUg9V9cds0/RGJuB4Rk8kHEi53T3+luu/waO7TaK89qi/zaAg3N0JFXXB1NMbDUcbWmv8KShO\nm7zSqIKibdDW2eRHiwLDccmk9x30EQ7WB7R2NEMkmpgTcVXDMWhqq3eUxypJ9z3Yr10LAik1FrMy\n6ZK56wUQmA69kQlIVRQUbYfV25a7yOlgDALaDm57/heJW9Mu6rET5DDncQK2zxWb34BH3rg5mMKP\nYzqrf7k/8zK1+SjJpPdi9BUpMwt5hVugua1BKO1d838NH29+M+AWaXho8V/ghQ/+7SgPqZOebsOk\nuxnajfmr4OPNb2DPTCIWDEGnqUTMefonwuMmkRyIqJvRDmCJwgvv/6tP3dJ8snWpZW36jSC8fen0\nI1EHtr7Gdrq53Siq2C/EfPbGvvLtsOfDvtZbNBF8Z9IffvhhOP/88yErKwvGjBkDP/rRj2Dv3r1+\nV+MRiRmc7kgYOrra7BO6RF93wbjg40dg9XZx6VNLe2OArcFBk9p3dXcypWUkPUhLY+uko9A3x6iA\ngdPqrcss9etMdFCbLIuR6vDBOEgiOIhsUMm6EVFVFfaV7AQ1iYcEHTz96VSBOU4BMOngj1oBVqbv\n80rsu/Nd2fKYOFiaB7VNlZ7KEMFTy++EYzVHbNNJm5Hj49bWdyZ9w4YN8Oc//xk2b94Ma9euhfT0\ndLj00kuhqSl19H4SdYJa9MmTcMeL1wZXQS85CaYy7l3wG9jgxs0chTgcLtvDlJYpxFJzqu6y4ONH\n7RNRpgN5LdjdE/bVdWYypa0S7iHEpHs42HmRggd9sHSCv8/7lS8S/SC/JdB+SrAXDTffYjeX9aa/\nvOIRN00y8Nx798Gba571VIYoROZcKqyPZMEvw9HeAN+Z9FWrVsH1118PZ511FkybNg0WL14MtbW1\nkJOT43dVviBIaXR9c1VgZfNQXluc0Pryj2yFcMShxElwbQV9W9DUVg+HjuU7zkdrPvdUT0rSRZn0\neJnHqq0uxJzk19tGu36trC+FoooDLotnbSZ9n3gmC8dqimDR6ic9liIiSXfPnN789FVQUnXIVV6d\nQUm2lMwvN2/N7Q18t4MCbViy5TGobi7lpglyzcVSSCd9b3Eu7Dq8yfjtdodwtbck6rAiUs9xTGKT\n7YHR1pWojwhcJ72lpQVisRgMHz486KpsoVD+ChJBzx/aV8RiUXj0zVsCrhnHyysehoOVuQmtkwa3\nNyS8QBgstHU0UVw3sUc8ROikhzguGGklsiQGd7xwLazd9SEA0Dcdkc113vv3w1PL7xBqj7V8KUlP\nNHYdzoHcA+s9lZEIdZcml3YJ+pxKlbnF6oWiiv1Cthf3vfL/oIHhUlUUPdFuqGuroL7z++YhFotC\ndUNZvEyjFl/KBgDoDLdDRV0J9Z1ILa+sfAxeXfmYb+0JEkEykceDFJkNXfjk5cbOW/8lShUucBcT\nc+bMgVmzZsEFF1zATZebGzyT19nVBQAABw7sN+qsaCoKrP7Ojo5AytYnV0HBXhg6ANeR03WXg+7P\njrB2ity+fXv8ieKo3q6uTqG0bW1tWLkxNQaN7TUwcvCJlrR1dXWuvruhqcFxvs7uDnjpnUfhK6d9\n13hWWl+ItRXFscpj2LvKygpmWgBzbLvjku+e7h5L2tzcXOgIt8GOvZtgSHQcdPf0WMqMxrQDyJ49\n+TB0QDl09VjnZHe3NR+vbSjqWunfUVBQAOWDfHK3JYGhqkpb86JzlpauqbHJNn91c4mjekgUHSmC\nnibnW0xPVHM/unPHDshI7+eqbj+g09nc3FxqXINFOQ/A+OGnwyVn/ZKav62rCQb1yLine truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAukAAADaCAYAAAAbtdwhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x801f2b0>"
+       "<matplotlib.figure.Figure at 0x93deeb8>"
       ]
      },
      "metadata": {},
@@ -1706,9 +1738,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA54AAADTCAYAAADpoczIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA54AAADTCAYAAADpoczIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8142518>"
+       "<matplotlib.figure.Figure at 0x8249b70>"
       ]
      },
      "metadata": {},
@@ -1769,9 +1801,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6oAAADVCAYAAABe4A2XAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x94afc18>"
+       "<matplotlib.figure.Figure at 0x94354e0>"
       ]
      },
      "metadata": {},
@@ -1836,7 +1868,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAA54AAADTCAYAAADpoczIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x94f0f98>"
+       "<matplotlib.figure.Figure at 0x93e2eb8>"
       ]
      },
      "metadata": {},
@@ -1914,7 +1946,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8120e10>"
+       "<matplotlib.figure.Figure at 0x93fb9b0>"
       ]
      },
      "metadata": {},
@@ -1956,7 +1988,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8003160>"
+       "<matplotlib.figure.Figure at 0x77cc9e8>"
       ]
      },
      "metadata": {},
@@ -2001,7 +2033,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x80e4550>"
+       "<matplotlib.figure.Figure at 0x81971d0>"
       ]
      },
      "metadata": {},
@@ -2048,7 +2080,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8029588>"
+       "<matplotlib.figure.Figure at 0x943eb70>"
       ]
      },
      "metadata": {},
@@ -2096,7 +2128,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9326198>"
+       "<matplotlib.figure.Figure at 0x9433be0>"
       ]
      },
      "metadata": {},
@@ -2142,7 +2174,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x80591d0>"
+       "<matplotlib.figure.Figure at 0x81ed1d0>"
       ]
      },
      "metadata": {},
@@ -2178,7 +2210,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x80cc748>"
+       "<matplotlib.figure.Figure at 0x93887b8>"
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      "metadata": {},
@@ -2244,7 +2276,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9312e48>"
+       "<matplotlib.figure.Figure at 0x939f160>"
       ]
      },
      "metadata": {},
@@ -2295,7 +2327,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x94b2438>"
+       "<matplotlib.figure.Figure at 0x9435d30>"
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      },
      "metadata": {},
@@ -2327,7 +2359,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x939d5c0>"
+       "<matplotlib.figure.Figure at 0x82f5550>"
       ]
      },
      "metadata": {},
@@ -2360,7 +2392,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x93606a0>"
+       "<matplotlib.figure.Figure at 0x9620e48>"
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      "metadata": {},
@@ -2410,7 +2442,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8224eb8>"
+       "<matplotlib.figure.Figure at 0x82e0a20>"
       ]
      },
      "metadata": {},
@@ -2441,7 +2473,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7ffcba8>"
+       "<matplotlib.figure.Figure at 0x805ffd0>"
       ]
      },
      "metadata": {},
@@ -2598,10 +2630,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 1.965  0.375]\n",
-      " [ 2.868  0.507]\n",
-      " [ 3.875  0.632]\n",
-      " [ 4.901  0.731]]\n"
+      "[[ 1.97  0.375]\n",
+      " [ 2.87  0.507]\n",
+      " [ 3.88  0.632]\n",
+      " [ 4.9  0.731]]\n"
      ]
     }
    ],
@@ -2627,8 +2659,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      " x = [   3.8    13.2   101.64]\n",
-      "dx = [ 8.2   9.8   0.56]\n"
+      " x = [ 3.8  13.2  1.02e+02]\n",
+      "dx = [ 8.2  9.8  0.56]\n"
      ]
     }
    ],

02-Discrete-Bayes.ipynb

@@ -50,7 +50,7 @@
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 800px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
@@ -408,7 +408,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72bf208>"
+       "<matplotlib.figure.Figure at 0x73e9748>"
       ]
      },
      "metadata": {},
@@ -542,7 +542,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x76b1fd0>"
+       "<matplotlib.figure.Figure at 0x7443b70>"
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      },
      "metadata": {},
@@ -663,7 +663,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f71eb8>"
+       "<matplotlib.figure.Figure at 0x7879fd0>"
       ]
      },
      "metadata": {},
@@ -802,7 +802,7 @@
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84a92b0>"
+       "<matplotlib.figure.Figure at 0x859a160>"
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      "metadata": {},
@@ -896,7 +896,7 @@
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84859e8>"
+       "<matplotlib.figure.Figure at 0x78872e8>"
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      },
      "metadata": {},
@@ -938,7 +938,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84771d0>"
+       "<matplotlib.figure.Figure at 0x859aa20>"
       ]
      },
      "metadata": {},
@@ -978,7 +978,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8626390>"
+       "<matplotlib.figure.Figure at 0x8594cc0>"
       ]
      },
      "metadata": {},
@@ -1075,7 +1075,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x86772b0>"
+       "<matplotlib.figure.Figure at 0x8743dd8>"
       ]
      },
      "metadata": {},
@@ -1110,7 +1110,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x867def0>"
+       "<matplotlib.figure.Figure at 0x878e630>"
       ]
      },
      "metadata": {},
@@ -1168,7 +1168,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8859710>"
+       "<matplotlib.figure.Figure at 0x8a02ba8>"
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@@ -1203,7 +1203,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8882048>"
+       "<matplotlib.figure.Figure at 0x8a19860>"
       ]
      },
      "metadata": {},
@@ -1234,7 +1234,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7751a90>"
+       "<matplotlib.figure.Figure at 0x74094e0>"
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      },
      "metadata": {},
@@ -1265,7 +1265,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f8b860>"
+       "<matplotlib.figure.Figure at 0x899c2b0>"
       ]
      },
      "metadata": {},
@@ -1297,7 +1297,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84922b0>"
+       "<matplotlib.figure.Figure at 0x8598ac8>"
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      "metadata": {},
@@ -1331,7 +1331,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84d3160>"
+       "<matplotlib.figure.Figure at 0x89d6eb8>"
       ]
      },
      "metadata": {},
@@ -1409,7 +1409,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x875cba8>"
+       "<matplotlib.figure.Figure at 0x887ef60>"
       ]
      },
      "metadata": {},
@@ -1447,7 +1447,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87546a0>"
+       "<matplotlib.figure.Figure at 0x8609908>"
       ]
      },
      "metadata": {},
@@ -1478,7 +1478,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84929e8>"
+       "<matplotlib.figure.Figure at 0x874e898>"
       ]
      },
      "metadata": {},
@@ -1684,7 +1684,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x847e390>"
+       "<matplotlib.figure.Figure at 0x79e84e0>"
       ]
      },
      "metadata": {},
@@ -1735,7 +1735,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x847e7b8>"
+       "<matplotlib.figure.Figure at 0x85b4be0>"
       ]
      },
      "metadata": {},
@@ -1769,7 +1769,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtkAAADvCAYAAAAn8cgHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8851ef0>"
+       "<matplotlib.figure.Figure at 0x9a83eb8>"
       ]
      },
      "metadata": {},

03-Gaussians.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -639,7 +671,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72d8860>"
+       "<matplotlib.figure.Figure at 0x73f5278>"
       ]
      },
      "metadata": {},
@@ -673,9 +705,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x812e2e8>"
+       "<matplotlib.figure.Figure at 0x7d81ac8>"
       ]
      },
      "metadata": {},
@@ -685,8 +717,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "mean = 1.810\n",
-      "std  = 0.167\n"
+      "mean = 1.778\n",
+      "std  = 0.144\n"
      ]
     }
    ],
@@ -801,7 +833,7 @@
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7bdf2b0>"
+       "<matplotlib.figure.Figure at 0x7d26208>"
       ]
      },
      "metadata": {},
@@ -895,7 +927,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x814bcf8>"
+       "<matplotlib.figure.Figure at 0x8aa2860>"
       ]
      },
      "metadata": {},
@@ -935,7 +967,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a10e80>"
+       "<matplotlib.figure.Figure at 0x8af8d68>"
       ]
      },
      "metadata": {},
@@ -974,7 +1006,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8ab1d68>"
+       "<matplotlib.figure.Figure at 0x8afb748>"
       ]
      },
      "metadata": {},
@@ -1057,7 +1089,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x81281d0>"
+       "<matplotlib.figure.Figure at 0x8bc69e8>"
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      },
      "metadata": {},
@@ -1183,7 +1215,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8b12fd0>"
+       "<matplotlib.figure.Figure at 0x8bf9c18>"
       ]
      },
      "metadata": {},
@@ -1238,7 +1270,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9cd9b38>"
+       "<matplotlib.figure.Figure at 0x9dc4fd0>"
       ]
      },
      "metadata": {},
@@ -1276,7 +1308,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9c6ceb8>"
+       "<matplotlib.figure.Figure at 0x9cc5240>"
       ]
      },
      "metadata": {},
@@ -1413,9 +1445,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 3.527  2.952  3.709  1.501 -0.532 -0.173  2.264\n",
-      "  4.293  5.036  6.365  2.79   4.76  -0.052  0.789\n",
-      "  2.733]\n"
+      "[ 2.319 -2.683  4.506  5.454  6.858  3.501  2.62\n",
+      "  1.606  5.649 -3.655 -4.25   2.354 -2.9    1.926\n",
+      "  6.512]\n"
      ]
     }
    ],
@@ -1512,7 +1544,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8ad03c8>"
+       "<matplotlib.figure.Figure at 0x8ba9080>"
       ]
      },
      "metadata": {},
@@ -1567,9 +1599,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuYAAADaCAYAAADqvoesAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b045c0>"
+       "<matplotlib.figure.Figure at 0x9d5ab00>"
       ]
      },
      "metadata": {},
@@ -1620,9 +1652,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAukAAADaCAYAAAAbtdwhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAukAAADaCAYAAAAbtdwhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9c34b00>"
+       "<matplotlib.figure.Figure at 0x9cfb390>"
       ]
      },
      "metadata": {},

04-One-Dimensional-Kalman-Filters.ipynb

@@ -50,7 +50,7 @@
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 800px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
@@ -348,7 +348,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuIAAADaCAYAAADjVSfWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72c7940>"
+       "<matplotlib.figure.Figure at 0x77c9390>"
       ]
      },
      "metadata": {},
@@ -383,14 +383,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mean of readings is 10.078\n"
+      "Mean of readings is 10.008\n"
      ]
     },
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72c7978>"
+       "<matplotlib.figure.Figure at 0x77c91d0>"
       ]
      },
      "metadata": {},
@@ -453,7 +453,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7067cc0>"
+       "<matplotlib.figure.Figure at 0x77c0e80>"
       ]
      },
      "metadata": {},
@@ -707,7 +707,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8830748>"
+       "<matplotlib.figure.Figure at 0x8ceae10>"
       ]
      },
      "metadata": {},
@@ -756,7 +756,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8c169e8>"
+       "<matplotlib.figure.Figure at 0x9385a20>"
       ]
      },
      "metadata": {},
@@ -811,7 +811,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x89c6cf8>"
+       "<matplotlib.figure.Figure at 0x914b780>"
       ]
      },
      "metadata": {},
@@ -857,7 +857,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x885b748>"
+       "<matplotlib.figure.Figure at 0x90279b0>"
       ]
      },
      "metadata": {},
@@ -957,7 +957,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x89429e8>"
+       "<matplotlib.figure.Figure at 0x9134c18>"
       ]
      },
      "metadata": {},
@@ -1061,7 +1061,7 @@
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88d6ba8>"
+       "<matplotlib.figure.Figure at 0x94cd7f0>"
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      "metadata": {},
@@ -1225,7 +1225,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88e9a20>"
+       "<matplotlib.figure.Figure at 0x94cd828>"
       ]
      },
      "metadata": {},
@@ -1321,7 +1321,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8cf43c8>"
+       "<matplotlib.figure.Figure at 0x94da9e8>"
       ]
      },
      "metadata": {},
@@ -1419,7 +1419,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f85710>"
+       "<matplotlib.figure.Figure at 0x9015f98>"
       ]
      },
      "metadata": {},
@@ -1454,7 +1454,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88b12b0>"
+       "<matplotlib.figure.Figure at 0x8d28320>"
       ]
      },
      "metadata": {},
@@ -1495,9 +1495,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7bef5f8>"
+       "<matplotlib.figure.Figure at 0x94394e0>"
       ]
      },
      "metadata": {},
@@ -1671,7 +1671,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x884ff98>"
+       "<matplotlib.figure.Figure at 0x8107208>"
       ]
      },
      "metadata": {},
@@ -1681,7 +1681,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fc3ac8>"
+       "<matplotlib.figure.Figure at 0x9027a20>"
       ]
      },
      "metadata": {},
@@ -1791,7 +1791,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x884fef0>"
+       "<matplotlib.figure.Figure at 0x94cdd30>"
       ]
      },
      "metadata": {},
@@ -1849,7 +1849,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8fc6c18>"
+       "<matplotlib.figure.Figure at 0xa6d1a58>"
       ]
      },
      "metadata": {},
@@ -1907,7 +1907,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8c39cf8>"
+       "<matplotlib.figure.Figure at 0xa6d13c8>"
       ]
      },
      "metadata": {},
@@ -1961,7 +1961,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8fc4128>"
+       "<matplotlib.figure.Figure at 0xa6b3ba8>"
       ]
      },
      "metadata": {},
@@ -2009,7 +2009,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8fb4160>"
+       "<matplotlib.figure.Figure at 0xa7142b0>"
       ]
      },
      "metadata": {},
@@ -2099,7 +2099,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88155c0>"
+       "<matplotlib.figure.Figure at 0x8cf4080>"
       ]
      },
      "metadata": {},
@@ -2192,7 +2192,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa26b198>"
+       "<matplotlib.figure.Figure at 0xa795a90>"
       ]
      },
      "metadata": {},
@@ -2273,7 +2273,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuUAAADaCAYAAAABiTyvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa2ce390>"
+       "<matplotlib.figure.Figure at 0xa7f3630>"
       ]
      },
      "metadata": {},

05-Multivariate-Gaussians.ipynb

@@ -28,24 +28,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -124,13 +163,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -348,7 +380,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72c8240>"
+       "<matplotlib.figure.Figure at 0x77c8630>"
       ]
      },
      "metadata": {},
@@ -438,8 +470,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 6.956  6.956]\n",
-      " [ 6.956  6.956]]\n"
+      "[[ 6.96  6.96]\n",
+      " [ 6.96  6.96]]\n"
      ]
     }
    ],
@@ -470,7 +502,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7dcbc88>"
+       "<matplotlib.figure.Figure at 0x829e6d8>"
       ]
      },
      "metadata": {},
@@ -480,8 +512,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 6.956 -3.084]\n",
-      " [-3.084  1.387]]\n"
+      "[[ 6.96  -3.08]\n",
+      " [ -3.08  1.39]]\n"
      ]
     }
    ],
@@ -510,9 +542,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8037630>"
+       "<matplotlib.figure.Figure at 0x8540518>"
       ]
      },
      "metadata": {},
@@ -522,8 +554,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 7.775  2.981]\n",
-      " [ 2.981  2.278]]\n"
+      "[[ 7.62  2.93]\n",
+      " [ 2.93  2.33]]\n"
      ]
     }
    ],
@@ -553,9 +585,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72c8400>"
+       "<matplotlib.figure.Figure at 0x77c8438>"
       ]
      },
      "metadata": {},
@@ -565,8 +597,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 1.006 -0.002]\n",
-      " [-0.002  1.004]]\n"
+      "[[ 1.0  -0.000632]\n",
+      " [ -0.000632  1.01]]\n"
      ]
     }
    ],
@@ -616,7 +648,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8057d68>"
+       "<matplotlib.figure.Figure at 0x8d41d30>"
       ]
      },
      "metadata": {},
@@ -765,7 +797,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAr8AAADBCAYAAADGrth2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8181e48>"
+       "<matplotlib.figure.Figure at 0x8d41160>"
       ]
      },
      "metadata": {},
@@ -806,9 +838,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8efd9e8>"
+       "<matplotlib.figure.Figure at 0x80be5c0>"
       ]
      },
      "metadata": {},
@@ -845,7 +877,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x81846d8>"
+       "<matplotlib.figure.Figure at 0x80be240>"
       ]
      },
      "metadata": {},
@@ -888,7 +920,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8e5aa90>"
+       "<matplotlib.figure.Figure at 0x9cadf28>"
       ]
      },
      "metadata": {},
@@ -922,7 +954,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8e5a5f8>"
+       "<matplotlib.figure.Figure at 0x93fe0f0>"
       ]
      },
      "metadata": {},
@@ -957,7 +989,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9423080>"
+       "<matplotlib.figure.Figure at 0x9d46da0>"
       ]
      },
      "metadata": {},
@@ -1002,7 +1034,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa110d30>"
+       "<matplotlib.figure.Figure at 0x80bea58>"
       ]
      },
      "metadata": {},
@@ -1047,7 +1079,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x940ecf8>"
+       "<matplotlib.figure.Figure at 0xa1e84a8>"
       ]
      },
      "metadata": {},
@@ -1081,8 +1113,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[   20.583,   150.779],\n",
-       "       [  150.779,  1213.656]])"
+       "array([[ 20.6,  1.51e+02],\n",
+       "       [ 1.51e+02,  1.21e+03]])"
       ]
      },
      "execution_count": 21,
@@ -1108,7 +1140,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8043ba8>"
+       "<matplotlib.figure.Figure at 0x9cc2470>"
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      "metadata": {},
@@ -1141,7 +1173,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x93ac6a0>"
+       "<matplotlib.figure.Figure at 0x8e22080>"
       ]
      },
      "metadata": {},
@@ -1177,7 +1209,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8181c18>"
+       "<matplotlib.figure.Figure at 0x9d30550>"
       ]
      },
      "metadata": {},
@@ -1301,7 +1333,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x89df400>"
+       "<matplotlib.figure.Figure at 0x93914e0>"
       ]
      },
      "metadata": {},
@@ -1333,7 +1365,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8ed6908>"
+       "<matplotlib.figure.Figure at 0x8d6db00>"
       ]
      },
      "metadata": {},
@@ -1378,7 +1410,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a3cb70>"
+       "<matplotlib.figure.Figure at 0x8523da0>"
       ]
      },
      "metadata": {},
@@ -1433,7 +1465,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x81e92b0>"
+       "<matplotlib.figure.Figure at 0x9cc0eb8>"
       ]
      },
      "metadata": {},
@@ -1464,7 +1496,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8e86780>"
+       "<matplotlib.figure.Figure at 0x8ef3828>"
       ]
      },
      "metadata": {},
@@ -1498,7 +1530,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x89530f0>"
+       "<matplotlib.figure.Figure at 0x8e43438>"
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      "metadata": {},
@@ -1537,7 +1569,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa1863c8>"
+       "<matplotlib.figure.Figure at 0x983cba8>"
       ]
      },
      "metadata": {},
@@ -1568,7 +1600,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa197390>"
+       "<matplotlib.figure.Figure at 0xa6dd160>"
       ]
      },
      "metadata": {},
@@ -1602,7 +1634,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa181c18>"
+       "<matplotlib.figure.Figure at 0xa68d1d0>"
       ]
      },
      "metadata": {},
@@ -1635,7 +1667,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7dfa400>"
+       "<matplotlib.figure.Figure at 0xa17c0b8>"
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      },
      "metadata": {},
@@ -1668,7 +1700,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7ddca90>"
+       "<matplotlib.figure.Figure at 0x8da6438>"
       ]
      },
      "metadata": {},
@@ -1703,7 +1735,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8056860>"
+       "<matplotlib.figure.Figure at 0x9d08780>"
       ]
      },
      "metadata": {},
@@ -1744,7 +1776,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x93cf208>"
+       "<matplotlib.figure.Figure at 0x80ac898>"
       ]
      },
      "metadata": {},
@@ -1774,7 +1806,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x93cf278>"
+       "<matplotlib.figure.Figure at 0x80acb38>"
       ]
      },
      "metadata": {},
@@ -1810,7 +1842,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a0c860>"
+       "<matplotlib.figure.Figure at 0xa6b0588>"
       ]
      },
      "metadata": {},
@@ -1839,7 +1871,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8965a90>"
+       "<matplotlib.figure.Figure at 0x9cd57b8>"
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      },
      "metadata": {},
@@ -1868,7 +1900,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9430e10>"
+       "<matplotlib.figure.Figure at 0xa716d68>"
       ]
      },
      "metadata": {},
@@ -1899,7 +1931,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvcAAADxCAYAAABPuZiPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9395048>"
+       "<matplotlib.figure.Figure at 0x8df2470>"
       ]
      },
      "metadata": {},

06-Multivariate-Kalman-Filters.ipynb

@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
@@ -28,63 +28,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Karla');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Lato');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Domine');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
        "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
        "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 800px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
        "    div.text_cell_render{\n",
-       "        //font-family: 'Open Sans';\n",
-       "        //font-family: 'Karla', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Roboto', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Lato', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Domine', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Chivo', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Cardo', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Arvo', verdana,arial,sans-serif;\n",
-       "        //font-family: 'Ubuntu';\n",
-       "        //font-family: 'Fontin';\n",
        "        font-family: 'Lora';\n",
-       "        //font-family: 'Raleway';\n",
-       "        //font-family: 'Merriweather';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
        "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
        "        //font-family: verdana,arial,sans-serif;\n",
        "        //font-family: arial,sans-serif;\n",
-       "        line-height: 130%;\n",
+       "        line-height: 125%;\n",
        "        font-size: 130%;\n",
-       "        //font-weight: 800;\n",
        "        text-align: justify;\n",
        "        text-justify:inter-word;\n",
-       "        //font-family: 'Poppins', verdana,arial,sans-serif;   \n",
        "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -295,7 +295,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -404,7 +404,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x4b235c0>"
+       "<matplotlib.figure.Figure at 0x4c412e8>"
       ]
      },
      "metadata": {},
@@ -524,8 +524,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 10. ]\n",
-      " [  4.5]]\n"
+      "[[ 10.0]\n",
+      " [ 4.5]]\n"
      ]
     }
    ],
@@ -556,8 +556,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 10. ]\n",
-      " [  4.5]]\n"
+      "[[ 10.0]\n",
+      " [ 4.5]]\n"
      ]
     }
    ],
@@ -613,8 +613,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 500.,    0.],\n",
-       "       [   0.,   49.]])"
+       "array([[ 5e+02,  0.0],\n",
+       "       [ 0.0,  49.0]])"
       ]
      },
      "execution_count": 7,
@@ -644,8 +644,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 500.,    0.],\n",
-       "       [   0.,   49.]])"
+       "array([[ 5e+02,  0.0],\n",
+       "       [ 0.0,  49.0]])"
       ]
      },
      "execution_count": 8,
@@ -764,8 +764,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 1.   0.1]\n",
-      " [ 0.   1. ]]\n"
+      "[[ 1.0  0.1]\n",
+      " [ 0.0  1.0]]\n"
      ]
     }
    ],
@@ -794,7 +794,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 10.45   4.5 ]\n"
+      "[ 10.4  4.5]\n"
      ]
     }
    ],
@@ -827,8 +827,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "x = [ 10.9   4.5]\n",
-      "x = [ 11.35   4.5 ]\n"
+      "x = [ 10.9  4.5]\n",
+      "x = [ 11.3  4.5]\n"
      ]
     }
    ],
@@ -863,8 +863,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 504.41,   14.7 ],\n",
-       "       [  14.7 ,   49.  ]])"
+       "array([[ 5.04e+02,  14.7],\n",
+       "       [ 14.7,  49.0]])"
       ]
      },
      "execution_count": 12,
@@ -897,7 +897,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuAAAADaCAYAAADnoPfrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x895c5f8>"
+       "<matplotlib.figure.Figure at 0x8a575f8>"
       ]
      },
      "metadata": {},
@@ -968,8 +968,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 0.   ,  0.001],\n",
-       "       [ 0.001,  0.024]])"
+       "array([[ 5.88e-05,  0.00118],\n",
+       "       [ 0.00118,  0.0235]])"
       ]
      },
      "execution_count": 14,
@@ -1062,7 +1062,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAADlCAYAAAB3YbDsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8954cf8>"
+       "<matplotlib.figure.Figure at 0x8273438>"
       ]
      },
      "metadata": {},
@@ -1401,9 +1401,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a95cf8>"
+       "<matplotlib.figure.Figure at 0x9b71dd8>"
       ]
      },
      "metadata": {},
@@ -1413,7 +1413,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a9b358>"
+       "<matplotlib.figure.Figure at 0x9b09518>"
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      },
      "metadata": {},
@@ -1464,7 +1464,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bace80>"
+       "<matplotlib.figure.Figure at 0x9bd8c18>"
       ]
      },
      "metadata": {},
@@ -1602,7 +1602,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8993ef0>"
+       "<matplotlib.figure.Figure at 0x8a2a5c0>"
       ]
      },
      "metadata": {},
@@ -1649,9 +1649,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAu8AAAEUCAYAAACbPtgWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7c18048>"
+       "<matplotlib.figure.Figure at 0x898e3c8>"
       ]
      },
      "metadata": {},
@@ -1715,7 +1715,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bac198>"
+       "<matplotlib.figure.Figure at 0x9c8f320>"
       ]
      },
      "metadata": {},
@@ -1867,7 +1867,7 @@
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bac898>"
+       "<matplotlib.figure.Figure at 0x8aacd68>"
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      "metadata": {},
@@ -1877,7 +1877,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9aa2dd8>"
+       "<matplotlib.figure.Figure at 0x9effc50>"
       ]
      },
      "metadata": {},
@@ -2015,7 +2015,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9dc15f8>"
+       "<matplotlib.figure.Figure at 0x8aa0198>"
       ]
      },
      "metadata": {},
@@ -2105,7 +2105,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a476a0>"
+       "<matplotlib.figure.Figure at 0x7fd1e80>"
       ]
      },
      "metadata": {},
@@ -2134,7 +2134,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bcc780>"
+       "<matplotlib.figure.Figure at 0x7fd1198>"
       ]
      },
      "metadata": {},
@@ -2262,7 +2262,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bb65f8>"
+       "<matplotlib.figure.Figure at 0x9cbcc88>"
       ]
      },
      "metadata": {},
@@ -2272,7 +2272,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bcc550>"
+       "<matplotlib.figure.Figure at 0x8a9c550>"
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      },
      "metadata": {},
@@ -2322,7 +2322,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7c20b38>"
+       "<matplotlib.figure.Figure at 0x89b0be0>"
       ]
      },
      "metadata": {},
@@ -2352,7 +2352,7 @@
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b329b0>"
+       "<matplotlib.figure.Figure at 0x9b378d0>"
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      "metadata": {},
@@ -2383,7 +2383,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b5a828>"
+       "<matplotlib.figure.Figure at 0x9ada5f8>"
       ]
      },
      "metadata": {},
@@ -2430,7 +2430,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a48dd8>"
+       "<matplotlib.figure.Figure at 0x8202a90>"
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      "metadata": {},
@@ -2440,7 +2440,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f1da20>"
+       "<matplotlib.figure.Figure at 0x8a576a0>"
       ]
      },
      "metadata": {},
@@ -2484,7 +2484,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7c2d908>"
+       "<matplotlib.figure.Figure at 0x8a57240>"
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      },
      "metadata": {},
@@ -2494,7 +2494,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9beeb00>"
+       "<matplotlib.figure.Figure at 0x8299780>"
       ]
      },
      "metadata": {},
@@ -2528,7 +2528,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b8d4a8>"
+       "<matplotlib.figure.Figure at 0x9aafe48>"
       ]
      },
      "metadata": {},
@@ -2562,7 +2562,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b8af28>"
+       "<matplotlib.figure.Figure at 0x8a2a9e8>"
       ]
      },
      "metadata": {},
@@ -2600,7 +2600,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xb32f3c8>"
+       "<matplotlib.figure.Figure at 0x7fa6860>"
       ]
      },
      "metadata": {},
@@ -2610,7 +2610,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8967160>"
+       "<matplotlib.figure.Figure at 0x8229860>"
       ]
      },
      "metadata": {},
@@ -2702,7 +2702,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9aa8cf8>"
+       "<matplotlib.figure.Figure at 0x9b83b00>"
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      "metadata": {},
@@ -2763,7 +2763,7 @@
      "output_type": "stream",
      "text": [
       "[[ 3.2]\n",
-      " [ 0. ]]\n"
+      " [ 0.0]]\n"
      ]
     }
    ],
@@ -2839,7 +2839,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8972be0>"
+       "<matplotlib.figure.Figure at 0x9baebe0>"
       ]
      },
      "metadata": {},
@@ -2890,7 +2890,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x810ada0>"
+       "<matplotlib.figure.Figure at 0x9b92518>"
       ]
      },
      "metadata": {},
@@ -2933,7 +2933,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b667b8>"
+       "<matplotlib.figure.Figure at 0x9bdcc88>"
       ]
      },
      "metadata": {},
@@ -2992,7 +2992,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuAAAADaCAYAAADnoPfrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b24438>"
+       "<matplotlib.figure.Figure at 0x7fc0b00>"
       ]
      },
      "metadata": {},

07-Kalman-Filter-Math.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -1058,8 +1090,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 0.333  0.5  ]\n",
-      " [ 0.5    1.   ]]\n"
+      "[[ 0.333  0.5]\n",
+      " [ 0.5  1.0]]\n"
      ]
     }
    ],
@@ -1082,9 +1114,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 0.05   0.125  0.167]\n",
-      " [ 0.125  0.333  0.5  ]\n",
-      " [ 0.167  0.5    1.   ]]\n"
+      "[[ 0.05  0.125  0.167]\n",
+      " [ 0.125  0.333  0.5]\n",
+      " [ 0.167  0.5  1.0]]\n"
      ]
     }
    ],
@@ -1111,8 +1143,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 0.25  0.5 ]\n",
-      " [ 0.5   1.  ]]\n"
+      "[[ 0.25  0.5]\n",
+      " [ 0.5  1.0]]\n"
      ]
     }
    ],
@@ -1132,9 +1164,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 0.25  0.5   0.5 ]\n",
-      " [ 0.5   1.    1.  ]\n",
-      " [ 0.5   1.    1.  ]]\n"
+      "[[ 0.25  0.5  0.5]\n",
+      " [ 0.5  1.0  1.0]\n",
+      " [ 0.5  1.0  1.0]]\n"
      ]
     }
    ],
@@ -1244,7 +1276,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x82668d0>"
+       "<matplotlib.figure.Figure at 0x5c29940>"
       ]
      },
      "metadata": {},
@@ -1278,7 +1310,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x829df60>"
+       "<matplotlib.figure.Figure at 0x84e3f98>"
       ]
      },
      "metadata": {},
@@ -1359,7 +1391,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8570128>"
+       "<matplotlib.figure.Figure at 0x869e198>"
       ]
      },
      "metadata": {},
@@ -1516,7 +1548,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuYAAADaCAYAAADqvoesAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa8298d0>"
+       "<matplotlib.figure.Figure at 0xa8f4748>"
       ]
      },
      "metadata": {},

08-Designing-Kalman-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -351,9 +383,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtUAAADTCAYAAABOde9fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XlclFX///HXoCyCiCuguOGG4oIliXuiomWZZmaappal\nfsvc7txv1zQ0M1c0lzI0l9LyzrxbUHBBQdNyx13cGXJFwXAZ5veHP+cRtyUKMwzL+/l48Mg517nO\n+Vydcfxw5lznMpjNZjMiIiIiIpJpDvYOQEREREQkt1NSLSIiIiKSRUqqRURERESySEm1iIiIiEgW\nKakWEREREcmigtndYVJSUnZ3KSIiIiJiNR4eHg+VaaZaRERERCSLlFSLiIiIiGRRti//+Ku/mzqX\nvGf37t0ABAYG2jkSsQeNf/6m8Re9B/K3vDT+GS1h1ky1iIiIiEgW2XWmWkRERETkUe7evculS5eI\nioriwIEDeHp60qNHD0qVKmXv0NJRUi0iIiIiOY7ZbGb69On8+9//5vbt2+mOzZgxg23btlGxYkX7\nBPc3tPxDRERERHKcr776iqFDhz6UUPv5+XHhwgUGDhxop8j+npJqEREREclxwsPDAWjevDkATz/9\nNAABAQEA7Nu3zy5x/RMl1SIiIiKS46SmpgJQvnx5ABITEwGIi4sDwNPT0z6B/QMl1SIiIiKSKQkJ\nCfz3v/8lOjqau3fvWrXtli1bAvDtt9/i7OzMhQsXADh48CAAI0aMsGp/WZVhUj1hwgQcHBzS/ZQp\nUyZdnfHjx+Pj44OrqyvBwcGW3yBEREREJG9asWIFvr6+vPjiizRr1oygoCDLbLI1jB49mvbt25OS\nkmJZV+3u7k5gYCDffvstHTt2tFpf1vBYM9XVq1cnMTERo9GI0WjkwIEDlmNTp05lxowZhIWFsXv3\nbjw9PQkJCSElJcVmQYuIiIiI/Rw9epRevXpx+/ZtGjZsiLe3N3v27KF3795P1M6vv/7Kyy+/TFBQ\nEG+99RYXL160HHNycmLt2rXs2LGD1atXs3//fm7cuMGuXbtyXEINj7mlXsGCBf9xL8BZs2YxcuRI\nOnToANxfVO7p6cmKFSt45513rBepiIiIiOQIW7Zs4e7du7Rr145169Zx7tw5ypcvz4YNG0hLS8PB\nIeN52x07dvDss89y584d4H6CHRkZyW+//UbJkiUBMBgMBAUFERQUZNPrsYbHmqk+deoUPj4+VKpU\nia5duxIfHw9AfHw8RqORkJAQS10XFxeaNWtGTEyMbSIWEREREbtydHQE4PLly9y9exej0WgpNxgM\nj9XG+PHjuXPnDl26dCEyMpK6dety9uxZFixYYLO4bSnDpLpBgwZ8+eWX/PLLLyxevBij0Ujjxo25\ndu0aRqMRg8GAl5dXunO8vLws/3NFREREJPukpaU9VJacnMyoUaN47rnneOONN/jtt9+y1Mfzzz9P\n8eLFiY2NpWTJkpaZ5O7duz92Un3u3DkAhgwZQosWLejevXu68twmw+Ufbdq0Sfe6QYMG+Pr6Eh4e\nnuWp+N27d2fpfMldNN75m8Y/f9P4i94DthcdHc306dO5ePEi3t7eDBw4kJYtW5KamkqfPn04fPiw\npe7XX3/NvHnzqFu3bqb7mz59OqNGjSIhIQG4n2h37979b8f678q8vLyIi4ujb9++tG7d2rIvtaur\na458v1StWvWRx5/4MeWurq7UrFmT48eP0759e8xmM4mJiZQtW9ZSJzExEW9v7yePVkRERESe2P79\n+xk6dCgmkwm4v9XdyJEjmTt3LhcvXuTw4cOWRHvTpk1EREQwe/Zsvvjii0z3WatWLdauXcvly5dx\nc3OjcOHCT3R+//792bNnj+UHwN/fP0fehPg4njipTk1N5ciRI7Rs2RJfX1+8vb3ZsGED9erVsxx/\n8JtSRgIDA588Ysl1Hvy2qfHOnzT++ZvGX/QeyB5z587FZDLx1ltvMW/ePIYOHcqcOXOIiorCz88P\ngN69ezNixAheffVVqlSpwqVLl2w+Lo8a/8DAQJ555hnmzp1LQkIC/v7+DBgwAFdXV5vGlFlJSUmP\nPJ5hUj106FDatWtH+fLlSUxM5MMPP+TWrVv06NEDgEGDBhEaGoqfnx9Vq1Zl0qRJuLu707VrV+tc\ngYiIiIg80s2bNwFo2LAhzs7ONG7cmDlz5nDjxg0qVaoE3N+hrUaNGvznP/8BsJTbU7ly5Zg6daq9\nw7CKDJPq8+fP8/rrr3P58mVKlSpFgwYN2LFjB+XKlQNg2LBhpKam0r9/f65du0ZQUBARERG4ubnZ\nPHgRERGRvMRkMhEbG0tiYiK1atWyzDJnpFGjRnz33XcMHTqUmJgY1q1bB0Djxo3p1q0bixYtYufO\nnZabAZ2dnZk2bZrNriM/MpjNZnN2dvjXqXMPD4/s7FrsRF/95W8a//xN4y96Dzy+5ORk2rdvT1RU\nlKVs4sSJjBkzJsNz7969S6dOnSzJNEBISAg//PADzs7OpKSk8PHHH7Nnzx5KlizJwIEDCQgIsMl1\n/FVeGv+MctgnXlMtIiIiItY3YsQIoqKiKFasGPXr12fDhg2MHTuW+vXrP7Qb2/9ydHRk7dq1RERE\ncOLECSpWrMjzzz9PgQIFAHBzc2PChAnZcRn5lpJqERERkRxg48aNAKxdu5Znn32WDz74gOnTpxMZ\nGZlhUg3g4ODAc889Z+sw5R881hMVRURERMS2XFxcADhz5gxpaWmcPXsWuL/+WXI+JdUiIiIiOUDP\nnj0t/y1SpAirV6/G2dmZLl262DkyeRxKqkVERERygIEDBzJ69GgcHR1JSUnBy8uL//znP9SsWdPe\nocljUFItIiIikgM4ODgwadIkbt68idFo5OLFi1ojnYvoRkURERHJ806ePMny5ctJTk6mcuXK+Pv7\nU61aNby8vGzS3/Xr15k1axYnTpygQoUKDBgwAE9Pz8c619nZ2WZxie0oqRYREZE8LSYmhjZt2pCc\nnJyuvGDBgnz66ae8//77Vu3v2rVrNGzYkKNHj1rKli5dys6dOyldurRV+5KcQ8s/REREJE/r3bs3\nycnJDz2W+969ewwYMIDNmzdbtb9PPvmEo0ePUr16dT777DOeeuopzp07p32i8zgl1SIiIpJn3blz\nhyNHjgD3H4AC0LRpUwBatGgBwPr1663a54P+Ro0aRd++ffnwww8B0s1cS96j5R8iIiKSZzk6OlKs\nWDGuXbvGtWvXADh06BBwf/kHgMFgsGqf5cqVA2DRokWULVuWsLCwdOWSN2mmWkRERPIsg8HA6NGj\nATh//jwAV69excnJiYiICBwcHHjllVes2ueQIUMoWbIk0dHRtGjRgp9++onChQszcuRIq/YjOYuS\nahEREcnThgwZwvz58wkICKBIkSLA/WUhrq6uLFmyhAYNGli1v/Lly7Nz5066detG/fr1efXVV9mx\nYwc1atSwaj+Ss2j5h4iIiORpBoOBfv360a9fPwD++OMPEhMT8fX1pXDhwjbps1KlSnz11Vc2aVty\nJiXVIiIikq94eno+9p7RIo9LSbWIiIjkCWazmZ07d3L8+HEqVKhAkyZNcHDQSlfJHkqqRUREJNdL\nS0vjrbfeIjw83FL20ksvsXr1apycnOwYmeQX+vVNREREcr1FixYRHh5OoUKF6NixI0WKFGHdunVM\nnTrV3qFJPqGkWkREROzCbDazcuVKevTowVtvvUVERESm23rwVMSpU6fy7bffsmDBgnTlIram5R8i\nIiJiF6NGjWLKlCmW10uWLGHBggX06dPnidtydXUFIC4uDrPZzOHDh9OVi9iaZqpFREQk2506dYop\nU6bg4ODARx99xAcffADAoEGDuHXr1hO316tXLxwcHPjss89wcnJi4sSJALz99ttWjVvknyipFhER\nkWx3/PhxABo1asTIkSOZNm0apUuX5s8//+TChQtP3F7Tpk35+uuvKVWqFPfu3aNo0aIsWrSI9u3b\nWzt0kb/1xEl1aGgoDg4ODBgwIF35+PHj8fHxwdXVleDgYOLi4qwWpIiIiNjWyZMn2bRpk+VR3v/L\nbDbzyy+/MHPmTNasWcPt27f/sd6SJUt47rnnCAkJYcWKFaSlpT1Ur3z58gD8+uuvLFu2jFmzZpGQ\nkEDBggXx9vbO1DV06tSJxMRErl+/ztWrVzVLLdnqidZU79ixg0WLFhEQEJCufOrUqcyYMYPw8HCq\nVavGhAkTCAkJ4dixY7i5uVk1YBEREbEek8lEv379WLx4MXD/6YMTJkxgzJgxljppaWl069aNVatW\nWcrq16/Phg0bLI/9fmDChAlMmDDB8nrjxo2cPn2a7777Ll29GjVq0KtXL7788kt69OhhKR87dizu\n7u6Zvh6DwYCHh0emzxfJrMeeqU5KSqJ79+4sWbKEokWLpjs2a9YsRo4cSYcOHfD39yc8PJybN2+y\nYsUKqwcsIiIi1jNjxgwWL16Mo6Mj9evXB+4ntmvXrrXU+eKLL1i1ahXu7u688847+Pj48Ouvv/Lv\nf/87XVvXr19n0qRJAMyePZslS5ZQsGBB1q5dy4kTJx7qe/HixUybNo0WLVoQEhLCkiVLHmpTJLd4\n7KS6T58+dO7cmWeffTZdeXx8PEajkZCQEEuZi4sLzZo1IyYmxnqRioiIiNWtX78euJ8479y5k3Hj\nxgHwww8/WOrExsYC95PthQsX8sUXXwD3v8H+q4sXL2IymahQoQLvv/8+vXr1okaNGgCcOXPmob4L\nFCjABx98QGRkJBEREfTq1QuDwWD9ixTJBo+1/GPRokWcOnWKlStXPnTMaDRiMBjw8vJKV+7l5cXF\nixetE6WIiIjYRIECBQBISUlJ998H5YBlOUVMTAw3b95k06ZN6cofKF++PM7Ozpw5cLine truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72ee240>"
+       "<matplotlib.figure.Figure at 0x73e9be0>"
       ]
      },
      "metadata": {},
@@ -479,10 +511,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 0.013  0.025  0.     0.   ]\n",
-      " [ 0.025  0.05   0.     0.   ]\n",
-      " [ 0.     0.     0.013  0.025]\n",
-      " [ 0.     0.     0.025  0.05 ]]\n"
+      "[[ 0.0125  0.025  0.0  0.0]\n",
+      " [ 0.025  0.05  0.0  0.0]\n",
+      " [ 0.0  0.0  0.0125  0.025]\n",
+      " [ 0.0  0.0  0.025  0.05]]\n"
      ]
     }
    ],
@@ -688,9 +720,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX8AAADTCAYAAABp7RNGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAADaCAYAAAC4hwVTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x879b898>"
+       "<matplotlib.figure.Figure at 0x7af6b70>"
       ]
      },
      "metadata": {},
@@ -755,9 +787,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtUAAADXCAYAAADV5K1JAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88367b8>"
+       "<matplotlib.figure.Figure at 0x88bc1d0>"
       ]
      },
      "metadata": {},
@@ -855,7 +887,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88362e8>"
+       "<matplotlib.figure.Figure at 0x892a198>"
       ]
      },
      "metadata": {},
@@ -887,8 +919,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 0.,  0.],\n",
-       "       [ 0.,  0.]])"
+       "array([[ 0.0,  0.0],\n",
+       "       [ 0.0,  0.0]])"
       ]
      },
      "execution_count": 14,
@@ -965,7 +997,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x879b710>"
+       "<matplotlib.figure.Figure at 0x7b43cc0>"
       ]
      },
      "metadata": {},
@@ -1281,7 +1313,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88f5cf8>"
+       "<matplotlib.figure.Figure at 0x88fbe48>"
       ]
      },
      "metadata": {},
@@ -1333,7 +1365,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x897e8d0>"
+       "<matplotlib.figure.Figure at 0x8a96fd0>"
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      },
      "metadata": {},
@@ -1366,7 +1398,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x89da748>"
+       "<matplotlib.figure.Figure at 0x8ae8748>"
       ]
      },
      "metadata": {},
@@ -1399,7 +1431,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a4ec88>"
+       "<matplotlib.figure.Figure at 0x9b4f630>"
       ]
      },
      "metadata": {},
@@ -1436,7 +1468,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b4f6a0>"
+       "<matplotlib.figure.Figure at 0x9c685f8>"
       ]
      },
      "metadata": {},
@@ -1477,7 +1509,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9be5748>"
+       "<matplotlib.figure.Figure at 0x9cdfe48>"
       ]
      },
      "metadata": {},
@@ -1512,7 +1544,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b75cf8>"
+       "<matplotlib.figure.Figure at 0x9cd80b8>"
       ]
      },
      "metadata": {},
@@ -1551,7 +1583,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a41f28>"
+       "<matplotlib.figure.Figure at 0x9be21d0>"
       ]
      },
      "metadata": {},
@@ -1594,7 +1626,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9be5940>"
+       "<matplotlib.figure.Figure at 0x9cdf9b0>"
       ]
      },
      "metadata": {},
@@ -1627,7 +1659,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9be16a0>"
+       "<matplotlib.figure.Figure at 0x9cb3358>"
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      "metadata": {},
@@ -1637,7 +1669,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9be5710>"
+       "<matplotlib.figure.Figure at 0x9cb3198>"
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      },
      "metadata": {},
@@ -1679,7 +1711,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87a5b70>"
+       "<matplotlib.figure.Figure at 0x7afdda0>"
       ]
      },
      "metadata": {},
@@ -1689,7 +1721,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87a84a8>"
+       "<matplotlib.figure.Figure at 0x7b4feb8>"
       ]
      },
      "metadata": {},
@@ -1731,7 +1763,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9aee198>"
+       "<matplotlib.figure.Figure at 0x8afd6a0>"
       ]
      },
      "metadata": {},
@@ -1772,7 +1804,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88492e8>"
+       "<matplotlib.figure.Figure at 0x8ad7550>"
       ]
      },
      "metadata": {},
@@ -1828,7 +1860,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87a8cf8>"
+       "<matplotlib.figure.Figure at 0x8aa4b00>"
       ]
      },
      "metadata": {},
@@ -1838,7 +1870,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x883d7f0>"
+       "<matplotlib.figure.Figure at 0x9c15fd0>"
       ]
      },
      "metadata": {},
@@ -1878,7 +1910,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x892ad30>"
+       "<matplotlib.figure.Figure at 0x8aa4780>"
       ]
      },
      "metadata": {},
@@ -1888,7 +1920,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x74a15f8>"
+       "<matplotlib.figure.Figure at 0x7ff8240>"
       ]
      },
      "metadata": {},
@@ -1923,7 +1955,7 @@
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a32b00>"
+       "<matplotlib.figure.Figure at 0x9c2c5f8>"
       ]
      },
      "metadata": {},
@@ -1933,7 +1965,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a32860>"
+       "<matplotlib.figure.Figure at 0x9cdfe10>"
       ]
      },
      "metadata": {},
@@ -2095,7 +2127,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87b6860>"
+       "<matplotlib.figure.Figure at 0x8aec7b8>"
       ]
      },
      "metadata": {},
@@ -2136,7 +2168,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87c78d0>"
+       "<matplotlib.figure.Figure at 0x8ae0828>"
       ]
      },
      "metadata": {},
@@ -2229,7 +2261,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9aa0c88>"
+       "<matplotlib.figure.Figure at 0x89f3048>"
       ]
      },
      "metadata": {},
@@ -2331,7 +2363,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9aa0898>"
+       "<matplotlib.figure.Figure at 0x8ab9da0>"
       ]
      },
      "metadata": {},
@@ -2414,7 +2446,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a92d68>"
+       "<matplotlib.figure.Figure at 0x9d1a080>"
       ]
      },
      "metadata": {},
@@ -2450,7 +2482,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b785c0>"
+       "<matplotlib.figure.Figure at 0x9b54ba8>"
       ]
      },
      "metadata": {},
@@ -2502,7 +2534,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b2b1d0>"
+       "<matplotlib.figure.Figure at 0x9be6438>"
       ]
      },
      "metadata": {},
@@ -2588,7 +2620,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9c0e6d8>"
+       "<matplotlib.figure.Figure at 0x9ba8160>"
       ]
      },
      "metadata": {},
@@ -2598,7 +2630,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8960cc0>"
+       "<matplotlib.figure.Figure at 0x9d666d8>"
       ]
      },
      "metadata": {},
@@ -2608,7 +2640,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8960da0>"
+       "<matplotlib.figure.Figure at 0x9bff588>"
       ]
      },
      "metadata": {},
@@ -2667,7 +2699,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9c31438>"
+       "<matplotlib.figure.Figure at 0x9c523c8>"
       ]
      },
      "metadata": {},
@@ -2677,7 +2709,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a3a9e8>"
+       "<matplotlib.figure.Figure at 0x9c520f0>"
       ]
      },
      "metadata": {},
@@ -2687,7 +2719,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9c78f98>"
+       "<matplotlib.figure.Figure at 0x8a711d0>"
       ]
      },
      "metadata": {},
@@ -2796,7 +2828,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a92ef0>"
+       "<matplotlib.figure.Figure at 0x9d1a160>"
       ]
      },
      "metadata": {},
@@ -2879,11 +2911,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 1.  1.]\n",
-      "[ 2.003  0.916]\n",
-      "[ 2.963  0.997]\n",
-      "[ 4.124  0.97 ]\n",
-      "[ 5.032  0.959]\n"
+      "[ 1.0  1.0]\n",
+      "[ 2.0  0.916]\n",
+      "[ 2.96  0.997]\n",
+      "[ 4.12  0.97]\n",
+      "[ 5.03  0.959]\n"
      ]
     }
    ],
@@ -2967,7 +2999,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b78b70>"
+       "<matplotlib.figure.Figure at 0x9b5b1d0>"
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      "metadata": {},
@@ -3157,7 +3189,7 @@
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x886e278>"
+       "<matplotlib.figure.Figure at 0x89ac2e8>"
       ]
      },
      "metadata": {},
@@ -3464,7 +3496,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8994e80>"
+       "<matplotlib.figure.Figure at 0x8ad3da0>"
       ]
      },
      "metadata": {},
@@ -3585,7 +3617,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x87fe828>"
+       "<matplotlib.figure.Figure at 0x9d28160>"
       ]
      },
      "metadata": {},
@@ -3734,7 +3766,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b569b0>"
+       "<matplotlib.figure.Figure at 0x9cc6128>"
       ]
      },
      "metadata": {},
@@ -3804,7 +3836,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88842b0>"
+       "<matplotlib.figure.Figure at 0x9b69588>"
       ]
      },
      "metadata": {},
@@ -3814,7 +3846,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88d8e48>"
+       "<matplotlib.figure.Figure at 0x9d8de10>"
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      },
      "metadata": {},
@@ -3878,7 +3910,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9f71f98>"
+       "<matplotlib.figure.Figure at 0x9d8f748>"
       ]
      },
      "metadata": {},
@@ -3888,7 +3920,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAu4AAADaCAYAAAD5acdYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9ba64a8>"
+       "<matplotlib.figure.Figure at 0x9c72eb8>"
       ]
      },
      "metadata": {},

09-Nonlinear-Filtering.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -383,9 +415,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72eb8d0>"
+       "<matplotlib.figure.Figure at 0x73f6898>"
       ]
      },
      "metadata": {},
@@ -441,9 +473,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72c9470>"
+       "<matplotlib.figure.Figure at 0x73e9860>"
       ]
      },
      "metadata": {},
@@ -475,9 +507,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa7b4278>"
+       "<matplotlib.figure.Figure at 0xa8c5c50>"
       ]
      },
      "metadata": {},
@@ -516,9 +548,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xab40470>"
+       "<matplotlib.figure.Figure at 0xab1bda0>"
       ]
      },
      "metadata": {},
@@ -558,9 +590,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xaa2a908>"
+       "<matplotlib.figure.Figure at 0xac1aa58>"
       ]
      },
      "metadata": {},
@@ -592,8 +624,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "input  mean, variance: 0.0000, 0.9999\n",
-      "output mean, variance: -0.1251, 2.4036\n"
+      "input  mean, variance: 0.0007, 0.9999\n",
+      "output mean, variance: -0.1255, 2.4060\n"
      ]
     }
    ],
@@ -622,9 +654,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xab45630>"
+       "<matplotlib.figure.Figure at 0x7901fd0>"
       ]
      },
      "metadata": {},
@@ -634,7 +666,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output mean, variance: -0.0001, 2.2498\n"
+      "output mean, variance: -0.0010, 2.2498\n"
      ]
     }
    ],
@@ -667,8 +699,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "linear    output mean, variance: -0.0043, 7481.0839\n",
-      "nonlinear output mean, variance: -9.2225, 30507.1449\n"
+      "linear    output mean, variance: -0.0589, 7481.2777\n",
+      "nonlinear output mean, variance: -9.2695, 30513.5403\n"
      ]
     }
    ],
@@ -703,9 +735,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x853e208>"
+       "<matplotlib.figure.Figure at 0x85adbe0>"
       ]
      },
      "metadata": {},
@@ -754,7 +786,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84b2d30>"
+       "<matplotlib.figure.Figure at 0xabd2a58>"
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      },
      "metadata": {},
@@ -784,7 +816,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8ae94a8>"
+       "<matplotlib.figure.Figure at 0x88234e0>"
       ]
      },
      "metadata": {},
@@ -813,7 +845,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x85f72e8>"
+       "<matplotlib.figure.Figure at 0x87d5320>"
       ]
      },
      "metadata": {},
@@ -842,7 +874,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtkAAADaCAYAAABzRl4ZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x86150f0>"
+       "<matplotlib.figure.Figure at 0x878c320>"
       ]
      },
      "metadata": {},

11-Extended-Kalman-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -323,7 +355,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x4b126d8>"
+       "<matplotlib.figure.Figure at 0x4c4f320>"
       ]
      },
      "metadata": {},
@@ -427,7 +459,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x886c320>"
+       "<matplotlib.figure.Figure at 0x7f46dd8>"
       ]
      },
      "metadata": {},
@@ -734,9 +766,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwkAAADxCAYAAACAsvtlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8938b38>"
+       "<matplotlib.figure.Figure at 0x89bf9e8>"
       ]
      },
      "metadata": {},
@@ -744,9 +776,9 @@
     },
     {
      "data": {
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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x997f7f0>"
+       "<matplotlib.figure.Figure at 0x9a9a278>"
       ]
      },
      "metadata": {},
@@ -754,9 +786,9 @@
     },
     {
      "data": {
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truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwYAAADxCAYAAABxuaDoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x99cdac8>"
+       "<matplotlib.figure.Figure at 0x9ae9898>"
       ]
      },
      "metadata": {},
@@ -897,7 +929,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbsAAADbCAYAAAD06j/wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88e4d68>"
+       "<matplotlib.figure.Figure at 0x8a57e10>"
       ]
      },
      "metadata": {},
@@ -1547,9 +1579,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa6e1a90>"
+       "<matplotlib.figure.Figure at 0xa9fb2b0>"
       ]
      },
      "metadata": {},
@@ -1559,7 +1591,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final P: [ 0.024  0.041  0.002]\n"
+      "Final P: [ 0.0243  0.0411  0.00221]\n"
      ]
     }
    ],
@@ -1594,9 +1626,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa6e17b8>"
+       "<matplotlib.figure.Figure at 0x8a57e10>"
       ]
      },
      "metadata": {},
@@ -1606,7 +1638,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final P: [ 0.02   0.02   0.002]\n"
+      "Final P: [ 0.0207  0.0198  0.00153]\n"
      ]
     }
    ],
@@ -1637,9 +1669,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa6e15c0>"
+       "<matplotlib.figure.Figure at 0xaddd0f0>"
       ]
      },
      "metadata": {},
@@ -1649,7 +1681,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final P: [ 0.02   0.044  0.   ]\n"
+      "Final P: [ 0.0199  0.0446  0.000224]\n"
      ]
     }
    ],
@@ -1677,9 +1709,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa8a91d0>"
+       "<matplotlib.figure.Figure at 0xae01e48>"
       ]
      },
      "metadata": {},
@@ -1689,7 +1721,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final P: [ 0.237  0.793  0.003]\n"
+      "Final P: [ 0.29  0.85  0.00375]\n"
      ]
     }
    ],
@@ -1717,9 +1749,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa654978>"
+       "<matplotlib.figure.Figure at 0xa9a7dd8>"
       ]
      },
      "metadata": {},
@@ -1729,7 +1761,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final P: [ 0.009  0.009  0.001]\n"
+      "Final P: [ 0.00838  0.00886  0.000762]\n"
      ]
     }
    ],
@@ -1781,9 +1813,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a60f60>"
+       "<matplotlib.figure.Figure at 0xad8e0b8>"
       ]
      },
      "metadata": {},
@@ -1793,7 +1825,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "actual mean=1.30, std=1.13\n",
+      "actual mean=1.30, std=1.14\n",
       "EKF    mean=1.00, std=0.95\n"
      ]
     }
@@ -1819,9 +1851,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xa89c860>"
+       "<matplotlib.figure.Figure at 0xade09b0>"
       ]
      },
      "metadata": {},
@@ -1831,7 +1863,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "actual mean=1.30, std=1.12\n",
+      "actual mean=1.30, std=1.13\n",
       "UKF    mean=1.30, std=1.08\n"
      ]
     }

12-Particle-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -327,9 +359,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7a5dcc0>"
+       "<matplotlib.figure.Figure at 0x7b75d68>"
       ]
      },
      "metadata": {},
@@ -401,7 +433,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8353e10>"
+       "<matplotlib.figure.Figure at 0x508e2e8>"
       ]
      },
      "metadata": {},
@@ -494,7 +526,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8353c50>"
+       "<matplotlib.figure.Figure at 0x8511160>"
       ]
      },
      "metadata": {},
@@ -548,7 +580,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84065f8>"
+       "<matplotlib.figure.Figure at 0x84158d0>"
       ]
      },
      "metadata": {},
@@ -582,7 +614,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAr8AAADBCAYAAADGrth2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84b0908>"
+       "<matplotlib.figure.Figure at 0x85af240>"
       ]
      },
      "metadata": {},
@@ -667,10 +699,10 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 0.772,  0.336,  3.319],\n",
-       "       [ 0.333,  0.34 ,  3.437],\n",
-       "       [ 0.6  ,  0.274,  3.995],\n",
-       "       [ 0.054,  0.022,  4.006]])"
+       "array([[ 0.772,  0.336,  3.32],\n",
+       "       [ 0.333,  0.34,  3.44],\n",
+       "       [ 0.6,  0.274,  3.99],\n",
+       "       [ 0.0539,  0.0218,  4.01]])"
       ]
      },
      "execution_count": 8,
@@ -815,7 +847,7 @@
     {
      "data": {
       "text/plain": [
-       "(array([ 0.494,  0.514]), array([ 0.083,  0.085]))"
+       "(array([ 0.494,  0.514]), array([ 0.0833,  0.0846]))"
       ]
      },
      "execution_count": 12,
@@ -942,14 +974,14 @@
      "output_type": "stream",
      "text": [
       "final position error, variance:\n",
-      "\t [ 17.904  18.116] [ 0.005  0.004]\n"
+      "\t [ 17.9  18.1] [ 0.00462  0.00431]\n"
      ]
     },
     {
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAADaCAYAAACRmkVgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAHoJJREFUeJzt3X9wFPX9x/HXHkiOBDzB5ifBEJwEaop/YJRfrUnQwDBF\nQNuh0nGkMs3xh7QgHa2K5S6CRaZfZcQi5aIOQVCoLSNTrD+YNgkB7HRCR0VQIwpa0KRIIUDqKZPs\n9w/ImiMhP+9278fzMbPj3t5m962u65tP3p/P2zBN0xQAAACAiHI5HQAAAACQCEi8AQAAABuQeAMA\nAAA2IPEGAAAAbEDiDQAAANiAxBsAAACwAYk3AAAAYINuE+9Vq1bppptuksfjUVpammbNmqWDBw92\nOM/v92vEiBFKTk5WSUmJDh06FJGAAQAAgFjUbeK9e/duLVq0SG+99Zaqqqo0cOBA3XrrrTp9+rR1\nzurVq7VmzRqtW7dOdXV1SktLU2lpqZqbmyMaPAAAABArjN52rmxubpbH49GOHTv0wx/+UJKUlZWl\nX/7yl3rwwQclScFgUGlpaXriiSdUVlYW/qgBAACAGNPrGu8zZ86otbVVw4YNkyQdOXJEDQ0NKi0t\ntc5xu926+eabtW/fvvBFCgAAAMSwXifeixcv1vjx4zVp0iRJUkNDgwzDUHp6esh56enpamhoCE+U\nAAAAQIwb2JuTly5dqn379mnv3r0yDKNPN2xqaurTzwEAAADRwOPx9Onnejzifd9992nbtm2qqqpS\nTk6OdTwjI0OmaaqxsTHk/MbGRmVkZPQpKAAAACDe9CjxXrx4sZV05+XlhXyXm5urjIwM7dq1yzoW\nDAZVW1urKVOmhDdaAAAAIEZ1W2py7733avPmzdqxY4c8Ho81sj1kyBClpKRIkpYsWaJVq1ZpzJgx\nysvL08qVKzV06FDNmzevy2v3dZgesEtdXZ0kqbCw0OFIgO7xvCLW8MwiloSjXLrbxHv9+vUyDEO3\n3HJLyHGfz6fly5dLkh544AEFg0EtWrRIp06d0oQJE/Tmm29aiTkAAACQ6LpNvFtbW3t0oeXLl1uJ\nOAAAAIBQvV5OEAAAAEDvkXgDAAAANiDxBgAAAGxA4g0AAADYgMQbAAAAsEGvWsYDAAAg/vn9/k73\n0T8k3gAAAAhRXl5u7ZN4hw+lJgAAAIANSLwBAAAAG1BqAgAAkOi8Xqm+3vq4QdJC56KJWyTeAAAA\nia6+XqqpsT7mOxhKPKPUBAAAIEH5/X4ZhqHqdkn3pQzD6LAx4bJvSLwBAAAAG1BqAgAAkODqu/mM\n8CDxBgAAiBJ2N67x+/2d3qfEMKx90zQjHkeiIPEGAACIEjSuiW/UeAMAAAA2IPEGAAAAbEDiDQAA\nANiAGm8AAAAntesaWaULK4o43TXS5/M5HEF8IvEGAACwmd/vtyZSVkkqvni8uN05RruVRdr4fD7b\nVjtB+FFqAgAAANiAxBsAAACwAaUmAAAgodndtKbtPta92tV4V9fUWF0jaVwTf0i8AQBAQnO8aU0g\nYO2WdFLXjfhBqQkAAABgAxJvAAAAwAYk3gAAAIANqPEGAACIEjSuiW8k3gAAICG0b1pzOU42rZFo\nXBPvKDUBAAAAbMCINwAAQCc2SMqXNGrjRqm6WsrPD1n6D+gtRrwBAIAjAoGAAoGArWUcpml22Npr\nf9xbVKRiSaM+/VSqqbGa3AB9xYg3AABwREVFhbVPbTMSQY9GvGtrazV79mxlZ2fL5XJp06ZNId/f\nc889crlcIdvkyZMjEjAAAAAQi3o04n3u3DmNGzdO8+fP1913393pOaWlpdq8ebP1K5tBgwaFL0oA\nAAC75ed3/RnopR4l3jNmzNCMGTMkSfPnz+/0nKSkJKWmpoYvMgAAACcxkRJhFrYa7z179ig9PV1X\nXXWVioqK9Nhjj5GIAwCAqEfTGtjFMC+dztuNoUOHat26dSElJ3/84x+VnJys3NxcHT16VMuWLVNr\na6v279+vK664IuTnm5qarP2PPvqon+EDAIBoFwgEQiZS9lRZWZm8Xm8EIgJ6Ly8vz9r3eDx9ukZY\nRrznzp1r7RcUFGj8+PHKycnRq6++qjlz5oTjFgAAIM61rZvdxrV7t0TijTgSkeUEMzMzlZ2d3e2I\ndmFhYSRuD4RNXV2dJJ5VxAaeV0SrnTt39ui8fEnF7T4fDQY1iucZUaJ91UZfRaSBzokTJ3T8+HFl\nZmZG4vIAAKCP/H6/tdl5z540rikuKgo5NmrUKNtiBOzQoxHv5uZmHT58WKZpqrW1VZ999pneeecd\nDR8+XMOHD5ff79ePfvQjZWZm6siRI3r44YeVkZGh22+/PdLxAwCAXigvL7f2aVoD2KtHiXddXZ1K\nSkpkGIakC7N/fT6f5s+fr2eeeUYHDhzQCy+8oNOnTyszM1NTp07Vyy+/rJSUlIgGDwAA4gjrZiPO\n9SjxLioqUmtr62W/f/3118MWEAAASFCsm404F5EabwAAAAChIrKqCQAAQHfKysokSVlZWQ5HAtiD\nEW8AAOKQ3++XYRghW8AwVCVZW+CS7w3DsHXCpdfrldfrZZInEgYj3gAAJIhL18kGYC9GvAEAAAAb\nMOINAIAN2pdT2FFa0WmTnOJiqabm249FRTKrqyMeC4ALSLwBALBBVDSuyc9XdfvEm3WyAVtRagIA\nQKIIBFQiWRvrZgP2IvEGAAAAbEDiDQAAANiAGm8AABKIz+dzOgQgYZF4AwAQRn6/P2QiZXsbdGEt\n7WrDkCTVS1p48Tufz2fbaicAnEHiDQCATWhgAyQ2arwBAAAAGzDiDQCIW3Y3rWm7T2f3Mi6Wl7RH\nAxsgsZB4AwDiVlQ0rWmn/uJfi4uKLuzQwAZIKCTeAADYpG0iJaPcQGKixhsAAACwAYk3AAAAYANK\nTQAA8cXrleovVFNXKXStbCfRuAYAiTcAIOa1b1pTpW/Xyi5ud05nq4rY1bRGio7JnQCcRakJAAAA\nYAMSbwAAAMAGlJoAAMLO7sY1IU1r2tV4V9fUWGtnm6YZ8TgAoCsk3gCAsHO0cU0gYO2WdFLXDQBO\nodQEAAAAsAGJNwAAAGADEm8AAADABtR4AwD6r92ERknaIJrWAMClSLwBAH3W1rimfdMaScpvt+9k\n4xqa1gCIJpSaAAAAADYg8QYAAABsQKkJAMSJwMX1q3fu3GlbiYXVuOaSGu/6mhprn8Y1AHCBYdr8\nRmxqarL2PR6PnbcGeq2urk6SVFhY6HAkQPfa11I7nexGUyyIXrxjEUvCkcP2qNSktrZWs2fPVnZ2\ntlwulzZt2tThHL/frxEjRig5OVklJSU6dOhQnwICAAAA4lGPEu9z585p3LhxWrt2rZKTkzt8v3r1\naq1Zs0br1q1TXV2d0tLSVFpaqubm5rAHDAAAAMSiHiXeM2bM0MqVK3XHHXd0uizUU089pYceekhz\n5szRddddp8rKSp09e1Yvvvhi2AMGAAAAYlG/J1ceOXJEDQ0NKi0ttY653W7dfPPN2rdvn8rKyvp7\nCwBAjKFxDQB01O/Eu6GhQYZhKD09PeR4enq6Pv/88y5/tm1SBRDteFYRTQKBgCoqKjoc36BvG9dU\nG4bqFdo9sqysTF6v14YIpZkzZ1r7/PeD7vCMIBbk5eX1+xosJwgAcSJfod0jAQDRpd+Jd0ZGhkzT\nVGNjo7Kzs63jjY2NysjI6PJnWT4I0Y6lrhCNdu7c2aefy8rK4llGVOEdi1jSfjnBvup358rc3Fxl\nZGRo165d1rFgMKja2lpNmTKlv5cHgKjX1kTGzqY1pml22C5VXFQU8r1d8QEAOtejEe/m5mYdPnxY\npmmqtbVVn332md555x0NHz5cI0eO1JIlS7Rq1SqNGTNGeXl5WrlypYYOHap58+ZFOn4AcFx5ebm1\n72RyW99uv7ioSMrPv+y5AAD79SjxrqurU0lJibWUoM/nk8/n0/z58/X888/rgQceUDAY1KJFi3Tq\n1ClNmDBBb775plJSUiIaPADgW+0nUprV1U6FAQC4DFrGA12g/hA9ES3t0aMlDqCneMciltjWMh4A\nAABA/7CcIAD0h9erqks+KxBwJJS2hmVZWVmO3B8A0DVGvAGgh/x+vwzDCNmqKypULFlbdUVFh3Ps\nmnDp9Xrl9XpZvQQAohSJNwAAAGADEm8AAADABtR4A4hZ7Usq7Civ6LRJjter6ooK62NxWZlMh2q8\nAQDRjeUEgS6w1FV0i5bl86IlDp5XxBqeWcQSlhMEAAAAYgSJNwAAAGADEm8AAADABkyuBBB7vF6p\nvt5qXFPvaDCSz+dzOAIAQCwg8QYQ9fx+v8rLy63PVfq2YU2b9hMc2/h8PttWOwEAoDuUmgAAAAA2\nIPEGAAAAbECpCYBesbtpTdt9Qu51sca7uqZG0oUabyfXzwYAoCdooAN0geYOHUVLsxgpumKJBjyv\niDU8s4glNNABAAAAYgSJNwAAAGADarwBdO1iPXWbDZIWOhcNAEQt0zT1zTffUPoWgwzD0KBBgzpd\nmjacSLwBdK2+Xro4iVGS8h0M5VI0rgEQLVpbW/X1119r0KBBGjBggNPhoJdaWloUDAaVlJQklyty\nBSEk3gA61da0pq1ZTWecbFoj0bgGQPT45ptv5Ha7Iz5iisgYMGCA3G63vv76a7nd7ojdhxpvAACA\nMCDpjm12/PtjxBtAl+q7+QwAAHqGxBuIEXY3runQtOaiEtbOBgCgT0i8gRhRXl5u7VPbDABA7KHG\nGwAAAHFp48aNcrlc+uyzz5wORRKJNwAAAHro+eefl8vl0ne/+90+X2P9+vWqrKwMY1SXZxhGVE16\npdQEAAAgitk9x6crW7ZsUW5ururr67V//37dcMMNvb7GM888o9TUVM2fPz8CEUY3ELine truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x4b1de48>"
+       "<matplotlib.figure.Figure at 0x85659b0>"
       ]
      },
      "metadata": {},
@@ -1069,14 +1101,14 @@
      "output_type": "stream",
      "text": [
       "final position error, variance:\n",
-      "\t [ 7.987  7.983] [ 0.003  0.003]\n"
+      "\t [ 7.99  7.98] [ 0.00271  0.00286]\n"
      ]
     },
     {
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fe3518>"
+       "<matplotlib.figure.Figure at 0x85c2908>"
       ]
      },
      "metadata": {},
@@ -1127,14 +1159,14 @@
      "output_type": "stream",
      "text": [
       "final position error, variance:\n",
-      "\t [ 7.829  8.091] [ 0.003  0.003]\n"
+      "\t [ 7.83  8.09] [ 0.00292  0.00284]\n"
      ]
     },
     {
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtAAAADaCAYAAACPU3XTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7bd02e8>"
+       "<matplotlib.figure.Figure at 0x8b19a58>"
       ]
      },
      "metadata": {},
@@ -1179,14 +1211,14 @@
      "output_type": "stream",
      "text": [
       "final position error, variance:\n",
-      "\t [ 15.312 -13.47 ] [ 47.065  47.03 ]\n"
+      "\t [ 15.3  -13.5] [ 47.1  47.0]\n"
      ]
     },
     {
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84c35c0>"
+       "<matplotlib.figure.Figure at 0x9092e48>"
       ]
      },
      "metadata": {},
@@ -1219,14 +1251,14 @@
      "output_type": "stream",
      "text": [
       "final position error, variance:\n",
-      "\t [ 18.056  17.892] [ 0.004  0.005]\n"
+      "\t [ 18.1  17.9] [ 0.00396  0.00465]\n"
      ]
     },
     {
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8f6e470>"
+       "<matplotlib.figure.Figure at 0x8b4e2b0>"
       ]
      },
      "metadata": {},
@@ -1354,14 +1386,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "cumulative sume is [ 0.1  0.3  0.4  1. ]\n"
+      "cumulative sume is [ 0.1  0.3  0.4  1.0]\n"
      ]
     },
     {
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7d6b470>"
+       "<matplotlib.figure.Figure at 0x7cea518>"
       ]
      },
      "metadata": {},
@@ -1415,7 +1447,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72c7518>"
+       "<matplotlib.figure.Figure at 0x73e9be0>"
       ]
      },
      "metadata": {},
@@ -1501,7 +1533,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x83fdd68>"
+       "<matplotlib.figure.Figure at 0x84ca710>"
       ]
      },
      "metadata": {},
@@ -1546,7 +1578,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9473d30>"
+       "<matplotlib.figure.Figure at 0x8568048>"
       ]
      },
      "metadata": {},
@@ -1621,7 +1653,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8f333c8>"
+       "<matplotlib.figure.Figure at 0x9032a90>"
       ]
      },
      "metadata": {},
@@ -1700,7 +1732,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x84ddcc0>"
+       "<matplotlib.figure.Figure at 0x8b04ac8>"
       ]
      },
      "metadata": {},
@@ -1710,7 +1742,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x83a4588>"
+       "<matplotlib.figure.Figure at 0x8b904a8>"
       ]
      },
      "metadata": {},
@@ -1720,7 +1752,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a7fe48>"
+       "<matplotlib.figure.Figure at 0x8ae6630>"
       ]
      },
      "metadata": {},
@@ -1730,7 +1762,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAABCCAYAAACSCTtfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x899d3c8>"
+       "<matplotlib.figure.Figure at 0x866e3c8>"
       ]
      },
      "metadata": {},

13-Smoothing.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -299,7 +331,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72d9438>"
+       "<matplotlib.figure.Figure at 0x73e9588>"
       ]
      },
      "metadata": {},
@@ -348,7 +380,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72d9ac8>"
+       "<matplotlib.figure.Figure at 0x73e9208>"
       ]
      },
      "metadata": {},
@@ -380,7 +412,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x77b3d68>"
+       "<matplotlib.figure.Figure at 0x806d898>"
       ]
      },
      "metadata": {},
@@ -523,7 +555,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7817f60>"
+       "<matplotlib.figure.Figure at 0x8814be0>"
       ]
      },
      "metadata": {},
@@ -598,7 +630,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x77d42e8>"
+       "<matplotlib.figure.Figure at 0x809e8d0>"
       ]
      },
      "metadata": {},
@@ -627,7 +659,7 @@
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88027b8>"
+       "<matplotlib.figure.Figure at 0x74156d8>"
       ]
      },
      "metadata": {},
@@ -666,7 +698,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8873e48>"
+       "<matplotlib.figure.Figure at 0x80e1908>"
       ]
      },
      "metadata": {},
@@ -707,7 +739,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAACeCAYAAAAFUw0aAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMskRrzcgCcQAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8937a90>"
+       "<matplotlib.figure.Figure at 0x8a40a90>"
       ]
      },
      "metadata": {},
@@ -756,7 +788,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAukAAADaCAYAAAAbtdwhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8985fd0>"
+       "<matplotlib.figure.Figure at 0x8aee3c8>"
       ]
      },
      "metadata": {},

14-Adaptive-Filtering.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -416,7 +448,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7318160>"
+       "<matplotlib.figure.Figure at 0x73e8278>"
       ]
      },
      "metadata": {},
@@ -474,9 +506,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvcAAAD+CAYAAAC+7ypaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvcAAAD+CAYAAAC+7ypaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7312be0>"
+       "<matplotlib.figure.Figure at 0x740ac88>"
       ]
      },
      "metadata": {},
@@ -552,9 +584,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvMAAAD+CAYAAAC3BIogAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvMAAAD+CAYAAAC3BIogAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x786bf60>"
+       "<matplotlib.figure.Figure at 0x788af28>"
       ]
      },
      "metadata": {},
@@ -597,9 +629,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl4Tef6//H3WpkTGRAEISHErGbRRAiCCqGqStoaqmhr\nbr+0aorWOeiUUk6VnqYoquZ5iDER5Bhac9EagkjUPCaR7Of3x/5lV5odhCQ74X5dl+tq1rr3Wvde\nSfnk2c96lqaUUgghhBBCCCEKLd3SDQghhBBCCCGejoR6IYQQQgghCjkJ9UIIIYQQQhRyEuqFEEII\nIYQo5CTUCyGEEEIIUchJqBdCCCGEEKKQk1AvhCjwbt26xdChQ/Hx8cHW1hYrKyuio6MBSEtLY/z4\n8VSpUgUHBwd0XWfOnDkW7thykpKS6NWrF15eXlhbW2NlZUV8fLyl28pTzZs3R9cL3z9nZ8+eRdd1\n3nrrLUu3IoR4BhS+vwWFEIWarusP/fNgYM8wfPhwpk6dire3Nx999BHjxo3D29sbgC+++ILx48fj\n4uLCBx98QHh4OHXq1Mnz95ERJAtaYO7Zsydz586lXr16jB49mnHjxuHm5vbYr1+xYoXpe7Fo0aI8\n7DT3aJqGpmmWbiOLjNDeokWLbGsKau9CiMLH2tINCCGeP5qmER4eTnbPvssI7BnWrFmDs7MzUVFR\nWUZk16xZg6ZprF27lhIlSuRVy1kUxDB2//59Nm3aRJUqVVi2bNkTHWPmzJmm9zVz5kxeffXV3GxR\nPKBs2bIcO3YMV1dXS7cihHgGSKgXQljEmDFjHrs2ISEBLy8vs1MsEhISAPI10BdUFy9exGAw4OHh\n8USvj4+PZ8OGDQQEBACwdetWTp06RcWKFXOzzefGox7Ybm1tja+vbz51I4R41sn0GyFEgRUUFGQK\n8mfOnDFNC2nRogW9e/dG13XOnDkD/D2t558B9Ndff6Vbt26ULVsWOzs7ypQpQ48ePfjzzz/NnjM5\nOZnPP/+cRo0a4eLiQpEiRahatSoDBgzg/PnzpnNFR0ejlMLb29vsuU+fPk3//v3x9fXF0dGRYsWK\nUb16dfr06WM6zuM4cOAAXbt2xcPDAzs7O8qXL8/bb79tet8ZKlSogLe3N5qmsW3bNlNPOZmvPWvW\nLJRS9O7dm169emEwGJg1a9ZDXxMVFUVoaCgeHh7Y29tTrlw52rdvz+rVq5+qduvWrYSGhlKyZEns\n7Ozw9vZmwIABJCUlPfb7yelxMqZUnTlzhilTplCrVi0cHBzo3LkzADdv3uTzzz+nZcuWlCtXDjs7\nO0qWLEloaCi7du3KdKzZs2dTsWLFLN8PXdf55JNPgIfPqb906RKDBw/Gx8cHe3t73N3d6dChAzEx\nMVlqt2/fbjrO2bNn6datGyVKlMDBwYGGDRuyZs2aHF0zIUThpKlHDSUIIUQu0nUdTdNIT09/ZO2c\nOXM4c+YM4eHhuLm5MXToUMA4PcfNzY3ffvuNiIgIbt68aZrO4+bmxuDBgwGYN28evXv3xs7OjtDQ\nUMqVK8cff/zBypUrcXJyYvv27dSuXdt0vuvXrxMUFMSBAweoUqUKbdq0wd7enlOnThEVFcXs2bMJ\nDQ3lk08+ITIykvj4eIYMGWKas55x7sTERGrUqMHt27dp27Yt1apVIzU1lfj4eDZv3sySJUseOs86\nw7p16+jcuTMGg4HOnTvj4+PDwYMHWb16NUWLFmXr1q2m/qdOncqZM2f4+uuv8fb2plevXgDUqVOH\n0NDQR54rPT0dLy8vbty4QWJiIgAeHh4UKVKE8+fPY2VlleU148aN49NPP6VIkSJ06tSJ8uXLk5iY\nyO7du/H19WXp0qVPVDt58mRGjhxJ8eLFCQkJwcPDg4MHD7J+/Xo8PT3ZvXs3ZcqUMdUHBQURHR2d\n5WfqSY/Trl07du7cSUhICGXLlsXZ2ZmPP/6YuLg4AgMDadasGT4+PhQtWpT4+HhWrlzJvXv3WLVq\nFW3btgXg4MGD/Pjjj1m+H2D85SEwMJCzZ89SoUIFevXqxQ8//GDaHx8fj7+/PwkJCTRr1owmTZpw\n8eJFfvnlF5KTk/nhhx/o0aOHqX779u0EBQXRvHlzjhw5go+PD02aNOHq1assXLjQNC2rWbNmj/w5\nEEIUYkoIIfKRpmlK13UVHh6e7R9zr6lQoYLZ43l7eytd17Ns/+OPP5S9vb2qXLmyunjxYqZ927dv\nV9bW1qpBgwaZtnfv3l3puq769++f5Xj37t1T165dM33dvHlzpeu6Onv2bJbab775Rum6rqZOnZpl\nX2pqqrpz547Z9/KgO3fuKHd3d2Vtba22b9+ead8PP/ygNE1TtWvXzrT9zJkzStM0FRQU9Mjj/9Oy\nZcuUpmmqd+/epm29evVSuq6rxYsXZ6nfsGGD0jRNVaxYUV24cCHL/ge35aR2+/btStd15e/vr27e\nvJmp7qefflKapqkuXbpk2p7xvXjQkx5H0zTl6emp4uPjs/R58+ZNdeXKFbP9lylTRlWrVi3T9kd9\nPzL2P3jNlVKqbdu2Std19emnn2bafvjwYeXo6KgcHBwyXbNt27aZ/r/652syrn1ISIjZHoQQzw4J\n9UKIfJURPrL7Y2VlZfY1OQ3177//vtJ1Xa1atcrs6zp37qx0XVfHjh1TSil16dIlZWVlpUqXLv1Y\noftRoV7TNDVz5sxHHic78+bNU5qmqW7dupndX79+faXrutq9e7dp29OE+owguW3bNtO27du3K03T\nVOvWrbPUt2/fXum6rpYsWfLIY+ekNuP7cujQIbP769Wrp2xsbNTt27dN28yF+qc5zjfffPPIPv9p\n8ODBStd1de7cOdO2Jwn1Fy5cUJqmqfLly6v79+9nec0HH3ygdF1XkyZNMm3LCPUVKlRQBoMhy2u8\nvLxUiRIlcvyehBCFi9woK4SwiMeZfvM0du7cCRinJuzbty/L/ow51ceOHaNq1ars2bMHg8FAQEAA\njo6OT3Xu0NBQPv74YwYMGMC6deto06YNTZo0oVatWo+9Ys7+/fvRNI2goCCz+1u1asWvv/7K/v37\nady48VP1Gx8fT1RUFBUqVMg0RSMwMJCKFSuyefNmzpw5k2lVori4OADTdJOHyUntzp07sba2ZsmS\nJSxZsiTL/pSUFNLT0zlx4gR169bNk+M0bNgw2+PGxsYyZcoUdu/ezaVLl0hNTTXt0zSNCxcu4Onp\n+cj3mZ39+/cD4O/vj7V11n+iW7VqxVdffWWqe1CdOnXM/nyVK1eO3bt3P3FPQojCQUK9EOKZdOXK\nFQC++uqrh9bdvn0bMM6nB+Myg0+rfPny7N27l/Hjx7N+/XpWrFiBUopSpUoxaNAgPvroo0c+LOnG\njRsA2a5kU7p0aZRSpr6fxsyZM1FKZZqnnaFXr16MHTuWWbNm8a9//cu0/fr167i4uDzWL0A5qb1y\n5Qrp6emmm0nN0TTN9H3Li+Nkd82XLVvGq6++ioODA8HBwfj4+ODk5ISu62zdupXo6GhSUlIe2tej\nPM73HTD7fc/ueQTW1tYYDIan6ksIUfBJqBdCPJMy1v6+evXqY60DnhGILly4kCvn9/X1Zd68eSil\nOHToEFu2bGH69OmMHj0ag8HA6NGjH/r6jJ4zblr9p4sXL6Jp2lOvcZ6enk5kZCQA4eHhhIeHm637\n8ccf+eSTT0w3zLq5uXHlyhXu3r37yLCek1pXV1fu37//1L+sPM1xsvs0ZcyYMdjZ2bFv374sS1Em\nJCRkeWjak3ic7/uDdUIIkUGWtBRCPJOaNGkC8NhBq1GjRui6zo4dO7h79+4j6zPC7aOmEWmaRu3a\ntRk6dChr164FeKwHQ9WrVw+lFFu3bjW7f/PmzQDUr1//kcd6mJUrV3Lx4kV8fHx4++23zf6pVq0a\niYmJrFy50vQ6Pz8/wLhCz6PkpLZJkybcunWLQ4cOPeE7yt3jPOjPP/+kevXqWQK9UsrsUpOP+zPy\noIypQLGxsaSlpWXZv2nTJuDpv+9CiGeQJSf0CyGePxk3yub0NTm9Ufb48ePKzs5OVa5cWf3+++9Z\n9qelpamtW7dm2vb6668rTdNU//79s9xweO/ePXX16lXT1127ds1yY2mGffv2qevXr2fZnnHjadOm\nTc2+lwc9uPpNdHR0pn2RkZG5tvpNmzZtlK7rat68ednWLFmyRGmaptq2bWvatnHjRtP35cGbQzM8\nuDpLTmq3bt2qNE1Tfn5+6vz581lqk5OT1Y4dOzJtM3ej7NMcx9zNz0opVbVqVeXq6pplNaUxY8aY\nfq4fXKno9u3bStf1bH92H7X6zYQJEzJtP3z4sHJyclIODg6Z3lPGjbL/PM4/35cQ4tkm02+EEBYx\nfvz4bPe1bdv2qW/+9PX1Zfbs2fTu3ZuaNWvStm1bfH19SU9P59y5c8TGxpKamsrVq1dNr5k2bRpH\njx5l1qxZbNu2jbZt22Jvb8/p06eJiorixx9/NK35HhwczKJFi3j77bd55ZVXcHZ2xs3NjQEDBjB3\n7lxmzJiBv78/lSpVonjx4pw9e5YVK1ZgbW3NiBEjHtm/o6MjP/74I126dKFVq1a88sorVKxYkQMH\nDrB27VqKFSvGnDlznuoanTlzhk2bNlG0aFG6dOmSbV3Gw5uioqKIj4+nfPnyBAcHM3bsWD799FOq\nV69Ox44d8fLy4tKlS+zevZtKlSqZ1p7PSW3z5s354osv+PDDD6lcuTLt2rWjYsWK3Lt3j/j4eKKj\no6lQoYLZG0UflFvHedCwYcN49913qVOnDq+88go2NjbExsZy7NgxQkNDWbVqVaZ6JycnmjRpwq5d\nuwgNDaVevXrY2NgQGBhI06ZNsz3PjBkzCAgIYOzYsWzZsgU/Pz8SEhJYtGgRKSkpzLine truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7872518>"
+       "<matplotlib.figure.Figure at 0x7896240>"
       ]
      },
      "metadata": {},
@@ -640,9 +672,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x730b860>"
+       "<matplotlib.figure.Figure at 0x78fa160>"
       ]
      },
      "metadata": {},
@@ -679,9 +711,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72d5f98>"
+       "<matplotlib.figure.Figure at 0x89c69e8>"
       ]
      },
      "metadata": {},
@@ -744,9 +776,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAD+CAYAAAC6GvpnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x785d0b8>"
+       "<matplotlib.figure.Figure at 0x77c2438>"
       ]
      },
      "metadata": {},
@@ -805,7 +837,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAADlCAYAAAB3YbDsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88bde48>"
+       "<matplotlib.figure.Figure at 0x89f6ef0>"
       ]
      },
      "metadata": {},
@@ -833,9 +865,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x730b5c0>"
+       "<matplotlib.figure.Figure at 0x9c24b70>"
       ]
      },
      "metadata": {},
@@ -943,9 +975,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b4a9b0>"
+       "<matplotlib.figure.Figure at 0x9c548d0>"
       ]
      },
      "metadata": {},
@@ -994,9 +1026,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b4ab38>"
+       "<matplotlib.figure.Figure at 0x9c540b8>"
       ]
      },
      "metadata": {},
@@ -1079,9 +1111,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b086d8>"
+       "<matplotlib.figure.Figure at 0x9b35780>"
       ]
      },
      "metadata": {},
@@ -1178,9 +1210,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x730b5f8>"
+       "<matplotlib.figure.Figure at 0x77f1278>"
       ]
      },
      "metadata": {},
@@ -1207,9 +1239,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b2f5f8>"
+       "<matplotlib.figure.Figure at 0x896d240>"
       ]
      },
      "metadata": {},
@@ -1236,9 +1268,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8898be0>"
+       "<matplotlib.figure.Figure at 0x8960748>"
       ]
      },
      "metadata": {},
@@ -1246,9 +1278,9 @@
     },
     {
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x88716a0>"
+       "<matplotlib.figure.Figure at 0x78e7c18>"
       ]
      },
      "metadata": {},
@@ -1278,9 +1310,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x785dda0>"
+       "<matplotlib.figure.Figure at 0x9bc6a20>"
       ]
      },
      "metadata": {},
@@ -1288,9 +1320,9 @@
     },
     {
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x89bf6a0>"
+       "<matplotlib.figure.Figure at 0x8a6c5c0>"
       ]
      },
      "metadata": {},
@@ -1298,9 +1330,9 @@
     },
     {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9c38d30>"
+       "<matplotlib.figure.Figure at 0x8a56358>"
       ]
      },
      "metadata": {},
@@ -1308,9 +1340,9 @@
     },
     {
      "data": {
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9b527b8>"
+       "<matplotlib.figure.Figure at 0x8a167f0>"
       ]
      },
      "metadata": {},
@@ -1318,9 +1350,9 @@
     },
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x895fa58>"
+       "<matplotlib.figure.Figure at 0x9b6f1d0>"
       ]
      },
      "metadata": {},
@@ -1391,9 +1423,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a2df98>"
+       "<matplotlib.figure.Figure at 0x77f6978>"
       ]
      },
      "metadata": {},
@@ -1548,9 +1580,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a7eb00>"
+       "<matplotlib.figure.Figure at 0x9b2e9b0>"
       ]
      },
      "metadata": {},
@@ -1579,9 +1611,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9a746a0>"
+       "<matplotlib.figure.Figure at 0x9c9ef28>"
       ]
      },
      "metadata": {},
@@ -1636,9 +1668,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x887a828>"
+       "<matplotlib.figure.Figure at 0x89a00f0>"
       ]
      },
      "metadata": {},
@@ -1688,9 +1720,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x887a940>"
+       "<matplotlib.figure.Figure at 0x8a52cc0>"
       ]
      },
      "metadata": {},
@@ -1763,9 +1795,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9bbe668>"
+       "<matplotlib.figure.Figure at 0x89c0fd0>"
       ]
      },
      "metadata": {},
@@ -1815,7 +1847,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYkAAAEuCAYAAAB7xO7rAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7491ef0>"
+       "<matplotlib.figure.Figure at 0x8a7d358>"
       ]
      },
      "metadata": {},

Appendix-A-Installation.ipynb

@@ -35,24 +35,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -131,13 +170,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",

Appendix-B-Symbols-and-Notations.ipynb

@@ -19,24 +19,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -115,13 +154,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",

Appendix-D-HInfinity-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -299,7 +331,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuIAAADnCAYAAABbsTOlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7458940>"
+       "<matplotlib.figure.Figure at 0x7580b00>"
       ]
      },
      "metadata": {},

Appendix-E-Ensemble-Kalman-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -301,9 +333,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72e9d68>"
+       "<matplotlib.figure.Figure at 0x73e9cf8>"
       ]
      },
      "metadata": {},
@@ -586,7 +618,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuAAAADXCAYAAABbPuQ1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8045208>"
+       "<matplotlib.figure.Figure at 0x83306a0>"
       ]
      },
      "metadata": {},

Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -388,7 +420,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x72f8f28>"
+       "<matplotlib.figure.Figure at 0x73feeb8>"
       ]
      },
      "metadata": {},
@@ -761,9 +793,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAADaCAYAAACRmkVgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAADaCAYAAACRmkVgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x57647f0>"
+       "<matplotlib.figure.Figure at 0x5b57860>"
       ]
      },
      "metadata": {},
@@ -874,9 +906,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuUAAADaCAYAAAABiTyvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuUAAADaCAYAAAABiTyvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x5733c18>"
+       "<matplotlib.figure.Figure at 0x5b1f940>"
       ]
      },
      "metadata": {},

Appendix-H-Least-Squares-Filters.ipynb

@@ -26,24 +26,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -122,13 +161,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",

Supporting_Notebooks/Computing_and_plotting_PDFs.ipynb

@@ -12,24 +12,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
-       "        font-size: 11pt;\n",
-       "        font-style: bold;\n",
+       "        font-weight: 400;\n",
+       "        font-size: 12pt;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -108,14 +147,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        font-family: 'Vollkorn', verdana,arial,sans-serif;\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        font-weight: 400;\n",
-       "        text-align:justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -290,8 +321,8 @@
      "output_type": "stream",
      "text": [
       "50000\n",
-      "2.99685400941\n",
-      "1.99912142836\n"
+      "3.00621596517\n",
+      "1.99696435477\n"
      ]
     }
    ],
@@ -328,7 +359,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7b851d0>"
+       "<matplotlib.figure.Figure at 0x7cbf160>"
       ]
      },
      "metadata": {},
@@ -367,9 +398,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEACAYAAAAeHRm0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEACAYAAAAeHRm0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x4b35ba8>"
+       "<matplotlib.figure.Figure at 0x73eacc0>"
       ]
      },
      "metadata": {},
@@ -397,9 +428,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8a54e48>"
+       "<matplotlib.figure.Figure at 0x8b7bc88>"
       ]
      },
      "metadata": {},
@@ -427,9 +458,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl8VPW9//HXJ/tGwr4T1rCILGJERK0iiktxubWtu1fb\nWnur1nvttVbb/tre295qW2tbW3vFUq9Wrfu+ghtWBSHIvoY9CSHsgYQsk+T7+2OGMYGQTEKSc2by\nfj4ePJjvWTLvDGTeOWfOYs45RERE/CLO6wAiIiL1qZhERMRXVEwiIuIrKiYREfEVFZOIiPiKiklE\nRHwlomIyswvMbK2ZrTezuxqZf7WZLQv9+djMxtebtyU0fYmZLWzL8CIiEnusufOYzCwOWA9MB7YD\ni4ArnXNr6y0zBVjjnCs1swuAnznnpoTmbQJOds7ta6fvQUREYkgkW0yTgXzn3FbnXAB4Gri0/gLO\nuQXOudLQcAEwoN5si/B5REREIiqMAUBBvXEhDYvnSN8C3qo3dsBcM1tkZje1PKKIiHQmCW35xcxs\nGnAjcEa9yac754rNrBfBglrjnPu4/nqlpaW6LpKISAzLysqySJeNZIupCMiuNx4YmtZA6ICHWcAl\n9T9Pcs4Vh/7eBbxEcNegiIhIoyIppkXACDMbbGZJwJXAq/UXMLNs4AXgOufcxnrT08wsI/Q4HZgB\nrGyr8CIiEnua3ZXnnKs1s1uBOQSLbLZzbo2Z3Ryc7WYBPwG6Aw+ZmQEB59xkoA/wkpm50HM96Zyb\n09TzZWVlHd931E7y8vIAyM3N9ThJ05SzbUVDzmjICMrZ1qIhZ2lpafMLNSKiz5icc28Do46Y9nC9\nxzcBRx3Y4JzbDExsVTIREemUdBi3iIj4iopJRER8RcUkIiK+omISERFfUTGJiIivqJhERMRXVEwi\nIuIrKiYREfEVFZOIiPiKiklERHxFxSQiIr6iYhIREV9RMYmIiK+omERExFdUTCIi4isqJhER8RUV\nk4iI+IqKSUREfEXFJCIivqJiEhERX1ExiYiIr6iYRETEV1RMIiLiKyomERHxFRWTiIj4iopJRER8\nRcUkIiK+omISERFfUTGJiIivqJhERMRXVEwiIuIrKiYREfGVBK8DiMSiFz/6G7tLdwCQlpzOtTNu\n9ziRSPRQMYm0gw1FKyncuSk8HjHgRF78aDbpKV1ITkoF4M4rf0t8vH4ERY6knwqRDvDUuw8CUFl9\nyOMkIv6nYhLpIL2y+tE9szfrCpY1Or+6poqSvUXhcZe0LLpm9OioeCK+EdHBD2Z2gZmtNbP1ZnZX\nI/OvNrNloT8fm9n4SNcV6SyGDxzLLV/5OXFx8Y3O31O6k9/8447wn3lLX+vghCL+0GwxmVkc8Cfg\nfGAscJWZjT5isU3Al5xzE4BfALNasK6IiEhYJFtMk4F859xW51wAeBq4tP4CzrkFzrnS0HABMCDS\ndUVEROqL5DOmAUBBvXEhwcI5lm8Bb7VyXfLy8iKI5B2/5ztMOdtWS3MeKj/6IIfdu3aTl5eHcw6A\nxYsXN9itt//QrgbL79hR0qLnjdXX0ivKefxycnJatV6bHvxgZtOAG4Ez2vLriohI5xFJMRUB2fXG\nA0PTGggd8DALuMA5t68l69aXm5sbQaSOd/i3Er/mO0w521ZTOasCldTW1oTHKclpxFlw7/j7+U+x\nt7zh8j179SQ3N5cn5hvOwcknn9zgPKbiPQW8uuSL5fv27RPR6xMLr6WfKGfbKS0tbX6hRkRSTIuA\nEWY2GCgGrgSuqr+AmWUDLwDXOec2tmRdkWj1/IeP8Nnq98LjX970f3RJ69pgmavOvZXs3sMBSEvJ\naDDvyXcfZEDPIUw/+V/aPatINGm2mJxztWZ2KzCH4MESs51za8zs5uBsNwv4CdAdeMjMDAg45yYf\na912+25EfGZAzyEM6DW00Xl5a+dRll2qYhI5QkSfMTnn3gZGHTHt4XqPbwJuinRdkc7s6nNvZfvu\nLbz/+SteRxHxJV35QSRCdXW1LMn/JDzeVLS6VV9n8phprNm6RMUkcgwqJpEI1dbV8djbv/M6hkjM\nUzGJ+MDrnz7Bzv3bj5peW1vDorXzwuMeWb3JGTiuI6OJdDgVk4iHqmuqOFRZxqK189h3cNdR8wO1\ngfCVyQEmjTxTxSQxT3ewFWkjn61+n6X5n7ZonU3b1/DDh68Nl9KXT7uagb2HtUc8kaihLSaRNvLq\nJ4+T3SeHiTlTW7xuYnwSCQmJ5I4+i/i4hAY3GRTpbFRMIq1wzXnfCz9esekzwFi+cQFV1RVsLl7L\n/oN7WvT1Ljnjes6aOLNVWVYWfsq6HXm8tjwZgO9e9lP6dB/Yqq8l4gcqJpEWio9P4NQTzgmPTz3h\nHLbuWM/yjQso2VfIA8/+sEPzVNdUUl51gPKq4Li2rqbpFUR8TsUk0gaSElMZ0ncUW3asi2j54QNO\n4Gc3zgqPU5MzjlrmvcUvU7x7W5tlFIkWKiaRNtCvxyDuuOI+Pvj8VeYtez08PSG+8R+xpIRkumf2\nbvbrrt76eaPTX5j3VwI11QCsKprfisQi/qViEmlD0yZdwrRJl7Tp1/zyaddQsreQvHVfnM+0cPX7\nVFQffc8ngH8ue4te3fpzziTdk1Oikw4XF/G5Yf3HMHboyREv/8nKd5i39PXmFxTxKW0xiUSRz9f/\nk9LyvVQGKo+a1y2jJxNGnMaHS1/zIJlI21ExiTTh8G3QH3vrfjZub91FW9vaxqJV4cd3XPFrNq7f\nDMCUU06jKlCpYpKop2ISacKa4oXkbZ7boc85YuCJXHz69eFxj8w+HCjf22CZ08aeR+7osxjUezi7\nCw8AkJ6aSVUjW1Ii0UbFJNICV06/hdHZE9r1OYb0HcmQviMbTCuvPMDZEy8Oj3NHn0V2nxHtmkPE\nKyomkQicNXEml5/1Lc+ef1Dv4QwK3aJdJNapmEQasb9sD0/NfZDtO3WCq0hHUzGJNCJQU83abUu9\njtFq+w7u4hePfTc8vmL6d8kZeKKHiUQip2ISOcJ7i19m1/4iAFITM5iaczFTxp3ucaqWq3/jwWod\nFCFRRMUkcoT5q+ayc1+wmBLiExnQbbiu1i3SgVRMIscw7aRLqDgQ8DqGSKejYhIJWbdtGVtL8imv\nPAjA1BNnULBph8epRDofFZNIyOoti/lgyatexxDp9FRMIkfIGTiOwX1HkpZy9D2SRKT9qZhEjjB2\n6MmcM+kyr2OIdFoqJunU7vrfa6iuCd6TvLY2dm9J/uonj/Pe4pf43ld/6XUUkWapmKRTq62tielC\nOqx4zzYM8zqGSER0o0CRGDas/xhu/cp/ex1DpEVUTCIxrH+PwYwYONbrGCItol15IkBGahZJickA\npCSleZym9bpn9uaPt7/cYFqdqwPA4Xj6vYfo33MIX5pwkRfxRCKiYhIBfnrjwyQnpngdo919unIO\nY4fmqpjE17QrTyTGGcYV5/wbZ4y7wOsoIhFRMYnEODPj9HHnM2bIJAAqqw5RWr43/KeurtbjhCIN\naVeedEoffP4qW3asI1Db+S7SunH7an7y12+Ex//1zdl0zejhYSKRhiLaYjKzC8xsrZmtN7O7Gpk/\nysw+NbNKM7vjiHlbzGyZmS0xs4VtFVzkeGzesZYl+Z/gQgcGiIh/NLvFZGZxwJ+A6cB2YJGZveKc\nW1tvsT3AbUBj13GpA852zu1rg7wibeqsiTMZ2m80CfGJXkcRkZBItpgmA/nOua3OuQDwNHBp/QWc\nc7udc4uBxk6htwifR6TDDe03mkkjzyA+Lt7rKCISEslnTAOAgnrjQoJlFSkHzDWzWmCWc+6RFqwr\n0iZqagOsL1geHm/ftcW7MCLSpI44+OF051yxmfUiWFBrnHMfH2vhvLy8DojUen7Pd5hyNlQVqOCZ\nhfcfNX3Tpk3UHWj+/KVoeD2by1iwd0Oj05cvW0ZacmZ7RGpUNLyWoJxtIScnp1XrRbKLrQjIrjce\nGJoWEedccejvXcBLtGxrS0REOplItpgWASPMbDBQDFwJXNXE8uFLGJtZGhDnnCszs3RgBvDzpp4s\nNzc3gkgd7/BvJX7Nd5hyNq688iDPNHJM6LBhw5g08tgZouH1jDRj8qY6Plhz9PTxEyZ0yOHi0fBa\ngnK2pdLS0lat12wxOedqzexWYA7BLazZzrk1ZnZzcLabZWZ9gDygC1BnZrcDJwC9gJfMzIWe60nn\n3JxWJRURkU4hos+YnHNvA6OOmPZwvcclwKBGVi0DJh5PQJG2NqTvF/+V01O6eJhERBqjKz9Ip5KW\nnMEdV9zndQwRaYLOLxIREV9RMYmIiK+omERExFdUTCKdXMHOjRTt2ux1DJEwHfwg0sk98tr/kJKU\nxl1XP0BKcpqOVBTPqZgkZm3avoYNRasAOFRZ5nEaf0qMTyJQW01l9SF+/n83M+OUrzFz6jVex5JO\nTsUkMSu/cCVvzH/S6xi+kZXenUkjzwyPTxt7Lpnp3Xn41f+moqqciqpyD9OJfEHFJNJJZPcZwQ0X\nfv+o6T+7cRbvLHyWN+Y/xfyVc4iz4EfPiQlJnHfK5R0dU0TFJCJfOFhRytsLnwEgLaWLikk8oaPy\nRETEV1RMIiLiK9qVJzFnf9ke3s17kW0ljd8YT46WlJhCZno3IHiLkNraGo8TSWemYpKYU15xgI+W\nvREeTzlhOheceiUAZnas1Tq1aSddwrSTLgGCr9/ds673OJF0ZiomiSk79xWxu3QHAJnp3Tgv93IG\n9R5B98xeHicTkUipmCSmPPji/6O0bA8AGalZnDVxpseJRKSldPCDxKReWf3omdXH6xgi0graYpKY\ndOvl/023Lj29jiEiraBikqjknGNz8brwOC0lnb7dB3mYSETaiopJotbvn/th+PHYILine truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8acabe0>"
+       "<matplotlib.figure.Figure at 0x8bf5e48>"
       ]
      },
      "metadata": {},
@@ -457,9 +488,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9dbac88>"
+       "<matplotlib.figure.Figure at 0x8f18898>"
       ]
      },
      "metadata": {},
@@ -489,9 +520,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9de1780>"
+       "<matplotlib.figure.Figure at 0x9f10c88>"
       ]
      },
      "metadata": {},
@@ -527,9 +558,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9e29ac8>"
+       "<matplotlib.figure.Figure at 0x8f02cf8>"
       ]
      },
      "metadata": {},
@@ -539,8 +570,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "mean = 13.99\n",
-      "std  = 2.80\n"
+      "mean = 14.00\n",
+      "std  = 2.81\n"
      ]
     }
    ],
@@ -591,9 +622,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x8dc9eb8>"
+       "<matplotlib.figure.Figure at 0x8f06320>"
       ]
      },
      "metadata": {},
@@ -603,8 +634,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "mean = -1.59\n",
-      "std  = 2.09\n"
+      "mean = -1.60\n",
+      "std  = 2.10\n"
      ]
     }
    ],
@@ -709,9 +740,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEACAYAAAD4NNLwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x9e02b00>"
+       "<matplotlib.figure.Figure at 0x89b7160>"
       ]
      },
      "metadata": {},

Supporting_Notebooks/Interactions.ipynb

@@ -12,24 +12,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
+       "        font-weight: 400;\n",
        "        font-size: 12pt;\n",
-       "        font-style: bold;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -108,13 +147,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        /*font-family: 'Vollkorn', verdana,arial,sans-serif;*/\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        text-align: justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -313,7 +345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -321,9 +353,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x71f6828>"
+       "<matplotlib.figure.Figure at 0x74132e8>"
       ]
      },
      "metadata": {},
@@ -391,16 +423,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7427588>"
+       "<matplotlib.figure.Figure at 0x8005f60>"
       ]
      },
      "metadata": {},
@@ -456,16 +488,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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truncated
+      "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7e26358>"
+       "<matplotlib.figure.Figure at 0x80526d8>"
       ]
      },
      "metadata": {},

Supporting_Notebooks/Iterative-Least-Squares-for-Sensor-Fusion.ipynb

@@ -19,24 +19,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
-       "        font-size: 11pt;\n",
-       "        font-style: bold;\n",
+       "        font-weight: 400;\n",
+       "        font-size: 12pt;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -115,14 +154,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        font-family: 'Vollkorn', verdana,arial,sans-serif;\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        font-weight: 400;\n",
-       "        text-align:justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
@@ -290,7 +321,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqIAAAGNCAYAAADKExONAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7bec9e8>"
+       "<matplotlib.figure.Figure at 0x7d00940>"
       ]
      },
      "metadata": {},

Supporting_Notebooks/Taylor-Series.ipynb

@@ -12,24 +12,63 @@
       "text/html": [
        "<style>\n",
        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
-       "@import url('http://fonts.googleapis.com/css?family=Fira+sans');\n",
+       "@import url('http://fonts.googleapis.com/css?family=Lora');\n",
+       "\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Open+Sans');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Karla');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Poppins');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Roboto');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Lato');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Domine');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Chivo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Cardo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Arvo');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Ubuntu');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Fontin');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Raleway');\n",
+       "//@import url('http://fonts.googleapis.com/css?family=Merriweather');\n",
+       "\n",
        "\n",
        ".CodeMirror pre {\n",
        "    font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
        "}\n",
        "    div.cell{\n",
-       "        width: 900px;\n",
+       "        width: 850px;\n",
        "        margin-left: 0% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
+       "    div.text_cell_render{\n",
+       "        font-family: 'Lora';\n",
+       "        //font-family: 'Open Sans';\n",
+       "        //font-family: 'Karla',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Roboto',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Lato',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Domine',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Chivo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Cardo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Arvo',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Poppins',verdana,arial,sans-serif;   \n",
+       "        //font-family: 'Ubuntu',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Fontin',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Raleway',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Merriweather',verdana,arial,sans-serif;\n",
+       "        //font-family: 'Crimson Text', verdana,arial,sans-serif;\n",
+       "        //font-family: verdana,arial,sans-serif;\n",
+       "        //font-family: arial,sans-serif;\n",
+       "        line-height: 125%;\n",
+       "        font-size: 130%;\n",
+       "        text-align: justify;\n",
+       "        text-justify:inter-word;\n",
+       "    }\n",
        "    div.text_cell code {\n",
        "        background: transparent;\n",
        "        color: #000000;\n",
-       "        font-weight: 600;\n",
-       "        font-size: 11pt;\n",
-       "        font-style: bold;\n",
+       "        font-weight: 400;\n",
+       "        font-size: 12pt;\n",
+       "        //font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
@@ -108,14 +147,6 @@
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
-       "    div.text_cell_render{\n",
-       "        font-family: 'Vollkorn', verdana,arial,sans-serif;\n",
-       "        line-height: 150%;\n",
-       "        font-size: 130%;\n",
-       "        font-weight: 400;\n",
-       "        text-align:justify;\n",
-       "        text-justify:inter-word;\n",
-       "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",

code/custom.css

@@ -24,7 +24,7 @@
     font-family: 'Source Code Pro', Consolas, monocco, monospace;
 }
     div.cell{
-        width: 800px;
+        width: 850px;
         margin-left: 0% !important;
         margin-right: auto;
     }