01-g-h-filter.ipynb: minor fix

- Exercise Bad Initial Conditions: update the condition with the solution
- Exercise Extreme Noise: update solution parameter h to 0.01 (same as previous ex.)

01-g-h-filter.ipynb

@@ -3680,7 +3680,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now write code that uses `gen_data` and `g_h_filter` to filter 100 data points that starts at 5, has a derivative of 2, a noise scaling factor of 10, and uses g=0.2 and h=0.02. Set you initial guess for x to be 100."
+    "Now write code that uses `gen_data` and `g_h_filter` to filter 100 data points that starts at 5, has a derivative of 2, a noise scaling factor of 10, and uses g=0.2 and h=0.01. Set you initial guess for x to be 100."
    ]
   },
   {
@@ -3780,7 +3780,7 @@
    ],
    "source": [
     "zs = gen_data(x0=5., dx=2., count=100, noise_factor=100)\n",
-    "data = g_h_filter(data=zs, x0=5., dx=2., g=0.2, h=0.02)\n",
+    "data = g_h_filter(data=zs, x0=5., dx=2., g=0.2, h=0.01)\n",
     "plot_g_h_results(measurements=zs, filtered_data=data)"
    ]
   },