daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Fixed latex problem (using \verb inside of \frac). Generated pdf.

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Roger Labbe 2014-07-07 20:12:16 -07:00
parent 6b8a9c9a07
commit 212a1e1a85
1 changed files with 2 additions and 2 deletions
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g-h_filter.ipynb
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@ -1,7 +1,7 @@
{
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"signature": "sha256:27be18a05f9ddd413e35c6546c1fe1a04d7a71d7b75ed099b55d423aa20b0e31"
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"nbformat": 3,
"nbformat_minor": 0,
@ -638,7 +638,7 @@
"\n",
"So, should we just set the new gain/day to 4.4 lbs? Hmm, sounds like our same problem again. Yesterday we though the weight gain was 1 lb, today we think it is 4.4 lbs. We have two numbers, and want to combine them somehow. Let's use our same tool, and the only tool we have so far - pick a value part way between the two. This time I will use another arbitrarily chosen number, $\\frac{1}{3}$. The equation is identical as for the weight estimate except we have to incorporate time because this is a rate (gain/day):\n",
"\n",
"$$ \\verb,new gain, = \\verb,old gain, + \\frac{1}{3}\\frac{\\verb,measurement, - \\verb,predicted weight,}{\\verb,1 day,}\n",
"$$\\verb,new gain, = \\verb,old gain, + \\frac{1}{3}\\frac{measurement - predicted~weight}{1~ day}\n",
"$$"
]
},