Added a few (future) Chapters

toc.ipynb

@@ -1,7 +1,7 @@
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-      "<center><h1>Kalman Filters and Bayesian Filters in Python</h1></center>\n",
+      "<center><h1>Kalman and Bayesian Filters in Python</h1></center>\n",
       "<p>\n",
       " <p>\n",
       "Table of Contents\n",
@@ -76,8 +76,12 @@
       "[**Chapter 10: Numerical Stability**](not implemented)\n",
       "    \n",
       "EKF and UKF are linear approximations of nonlinear problems. Unless programmed carefully, they are not numerically stable. We discuss some common approaches to this problem.\n",
-      "    \n",
-      "    \n",
+      "\n",
+      "[**Chapter ??: Least Squares Filters](not implemented)\n",
+      "\n",
+      "Not sure where in order to put this. \n",
+      "\n",
+      "\n",
       "[**Chapter 11: Smoothing**](not implemented)\n",
       "    \n",
       "Kalman filters are recursive, and thus very suitable for real time filtering. However, they work well for post-processing data. We discuss some common approaches.\n",
@@ -108,6 +112,12 @@
       "Brief review of statistical math. \n",
       "    \n",
       "\n",
+      "\n",
+      "[**Appendix: Symbols and Notations**](not implemented)\n",
+      "\n",
+      "Symbols and notations used in this book. Comparison with notations used in the literature.\n",
+      "\n",
+      "\n",
       "### Github repository\n",
       "http://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python\n"
      ]