root/doc/html/classBM.html @ 28

Revision 28, 7.1 kB (checked in by smidl, 17 years ago)

prelozitelna verze

RevLine 
[8]1<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
2<html><head><meta http-equiv="Content-Type" content="text/html;charset=UTF-8">
3<title>mixpp: BM Class Reference</title>
4<link href="doxygen.css" rel="stylesheet" type="text/css">
5<link href="tabs.css" rel="stylesheet" type="text/css">
6</head><body>
7<!-- Generated by Doxygen 1.5.3 -->
8<div class="tabs">
9  <ul>
10    <li><a href="index.html"><span>Main&nbsp;Page</span></a></li>
11    <li class="current"><a href="annotated.html"><span>Classes</span></a></li>
12    <li><a href="files.html"><span>Files</span></a></li>
[28]13    <li><a href="pages.html"><span>Related&nbsp;Pages</span></a></li>
[8]14  </ul>
15</div>
16<div class="tabs">
17  <ul>
18    <li><a href="annotated.html"><span>Class&nbsp;List</span></a></li>
19    <li><a href="hierarchy.html"><span>Class&nbsp;Hierarchy</span></a></li>
20    <li><a href="functions.html"><span>Class&nbsp;Members</span></a></li>
21  </ul>
22</div>
23<h1>BM Class Reference</h1><!-- doxytag: class="BM" -->Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. 
24<a href="#_details">More...</a>
25<p>
26<code>#include &lt;<a class="el" href="libBM_8h-source.html">libBM.h</a>&gt;</code>
27<p>
28<div class="dynheader">
29Inheritance diagram for BM:</div>
30<div class="dynsection">
[19]31<p><center><img src="classBM__inherit__graph.png" border="0" usemap="#BM__inherit__map" alt="Inheritance graph"></center>
32<map name="BM__inherit__map">
[22]33<area shape="rect" href="classKalman.html" title="Kalman filter with covariance matrices in square root form." alt="" coords="5,87,133,113"><area shape="rect" href="classKalman.html" title="Kalman\&lt; fsqmat \&gt;" alt="" coords="47,183,193,209"><area shape="rect" href="classKalmanFull.html" title="Basic Kalman filter with full matrices (education purpose only)! Will be deleted..." alt="" coords="208,87,299,113"><area shape="rect" href="classPF.html" title="A Particle Filter prototype." alt="" coords="323,87,360,113"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="64,111,72,119"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="95,179,103,187"><area shape="rect" href="classEKF.html" title="Extended Kalman Filter." alt="" coords="68,263,172,289"><area shape="rect" href="classTrivialPF.html" title="Trivial particle filter with proposal density that is not conditioned on the data..." alt="" coords="305,183,377,209"></map>
[19]34<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
[8]35
36<p>
37<a href="classBM-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
38<tr><td></td></tr>
39<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
[22]40<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ef32a12f4f89e4000bf5390ceda762ae"></a><!-- doxytag: member="BM::BM" ref="ef32a12f4f89e4000bf5390ceda762ae" args="()" -->
41&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#ef32a12f4f89e4000bf5390ceda762ae">BM</a> ()</td></tr>
42
43<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Default constructor. <br></td></tr>
[28]44<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#a892eff438aab2dd1a9e2efcb7fb5bdf">bayes</a> (const vec &amp;dt)=0</td></tr>
[8]45
[28]46<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Incremental Bayes rule.  <a href="#a892eff438aab2dd1a9e2efcb7fb5bdf"></a><br></td></tr>
[8]47<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87b07867fd4c133aa89a18543f68d9f9"></a><!-- doxytag: member="BM::bayes" ref="87b07867fd4c133aa89a18543f68d9f9" args="(mat Dt)" -->
48void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87b07867fd4c133aa89a18543f68d9f9">bayes</a> (mat Dt)</td></tr>
49
50<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Batch Bayes rule (columns of Dt are observations). <br></td></tr>
[28]51<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a5b8f6c8a872738cfaa30ab010e8c077"></a><!-- doxytag: member="BM::_epdf" ref="a5b8f6c8a872738cfaa30ab010e8c077" args="()" -->
52<a class="el" href="classepdf.html">epdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#a5b8f6c8a872738cfaa30ab010e8c077">_epdf</a> ()</td></tr>
53
54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns a pointer to the <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> representing posterior density on parameters. Use with care! <br></td></tr>
[8]55<tr><td colspan="2"><br><h2>Public Attributes</h2></td></tr>
56<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5623fef6572a08c2b53b8c87b82dc979"></a><!-- doxytag: member="BM::ll" ref="5623fef6572a08c2b53b8c87b82dc979" args="" -->
57double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">ll</a></td></tr>
58
59<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Logarithm of marginalized data likelihood. <br></td></tr>
[28]60<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="bf6fb59b30141074f8ee1e2f43d03129"></a><!-- doxytag: member="BM::evalll" ref="bf6fb59b30141074f8ee1e2f43d03129" args="" -->
61bool&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#bf6fb59b30141074f8ee1e2f43d03129">evalll</a></td></tr>
62
63<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">If true, the filter will compute likelihood of the data record and store it in <code>ll</code> . Set to false if you want to save time. <br></td></tr>
[8]64</table>
65<hr><a name="_details"></a><h2>Detailed Description</h2>
66Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. <hr><h2>Member Function Documentation</h2>
[28]67<a class="anchor" name="a892eff438aab2dd1a9e2efcb7fb5bdf"></a><!-- doxytag: member="BM::bayes" ref="a892eff438aab2dd1a9e2efcb7fb5bdf" args="(const vec &amp;dt)=0" -->
[8]68<div class="memitem">
69<div class="memproto">
70      <table class="memname">
71        <tr>
72          <td class="memname">virtual void BM::bayes           </td>
73          <td>(</td>
74          <td class="paramtype">const vec &amp;&nbsp;</td>
[28]75          <td class="paramname"> <em>dt</em>          </td>
76          <td>&nbsp;)&nbsp;</td>
77          <td width="100%"><code> [pure virtual]</code></td>
[8]78        </tr>
79      </table>
80</div>
81<div class="memdoc">
82
83<p>
84Incremental Bayes rule.
85<p>
86<dl compact><dt><b>Parameters:</b></dt><dd>
87  <table border="0" cellspacing="2" cellpadding="0">
88    <tr><td valign="top"></td><td valign="top"><em>dt</em>&nbsp;</td><td>vector of input data </td></tr>
89  </table>
90</dl>
91
92</div>
93</div><p>
94<hr>The documentation for this class was generated from the following file:<ul>
[19]95<li>work/mixpp/bdm/stat/<a class="el" href="libBM_8h-source.html">libBM.h</a></ul>
[28]96<hr size="1"><address style="text-align: right;"><small>Generated on Mon Feb 18 21:48:40 2008 for mixpp by&nbsp;
[8]97<a href="http://www.doxygen.org/index.html">
98<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address>
99</body>
100</html>
Note: See TracBrowser for help on using the browser.