root/doc/html/libBM_8h.html @ 171

Revision 171, 8.8 kB (checked in by smidl, 16 years ago)

New documentation

RevLine 
[3]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">
[145]3<title>mixpp: work/git/mixpp/bdm/stat/libBM.h File Reference</title>
[3]4<link href="doxygen.css" rel="stylesheet" type="text/css">
5<link href="tabs.css" rel="stylesheet" type="text/css">
6</head><body>
[139]7<!-- Generated by Doxygen 1.5.6 -->
[91]8<div class="navigation" id="top">
9  <div class="tabs">
10    <ul>
11      <li><a href="index.html"><span>Main&nbsp;Page</span></a></li>
12      <li><a href="pages.html"><span>Related&nbsp;Pages</span></a></li>
13      <li><a href="annotated.html"><span>Classes</span></a></li>
14      <li class="current"><a href="files.html"><span>Files</span></a></li>
15    </ul>
16  </div>
[3]17</div>
[91]18<div class="contents">
[145]19<h1>work/git/mixpp/bdm/stat/libBM.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. <a href="#_details">More...</a>
[3]20<p>
21<code>#include &lt;itpp/itbase.h&gt;</code><br>
22
23<p>
[19]24<div class="dynheader">
25Include dependency graph for libBM.h:</div>
26<div class="dynsection">
[145]27<p><center><img src="libBM_8h__incl.png" border="0" usemap="#work/git/mixpp/bdm/stat/libBM.h_map" alt=""></center>
[19]28</div>
29
30<p>
31<div class="dynheader">
32This graph shows which files directly or indirectly include this file:</div>
33<div class="dynsection">
[145]34<p><center><img src="libBM_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/stat/libBM.hdep_map" alt=""></center>
35<map name="work/git/mixpp/bdm/stat/libBM.hdep_map">
[171]36<area shape="rect" href="libFN_8h-source.html" title="work/git/mixpp/bdm/stat/libFN.h" alt="" coords="649,84,871,111"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="1305,84,1524,111"><area shape="rect" href="emix_8h.html" title="Probability distributions for Mixtures of pdfs." alt="" coords="1553,161,1775,188"><area shape="rect" href="merger_8h.html" title="Mergers for combination of pdfs." alt="" coords="1744,239,1981,265"><area shape="rect" href="libDS_8h.html" title="Common DataSources." alt="" coords="1900,84,2124,111"><area shape="rect" href="loggers_8h.html" title="Loggers for storing results of experiments." alt="" coords="73,161,311,188"><area shape="rect" href="arx_8h.html" title="Bayesian Filtering for generalized autoregressive (ARX) model." alt="" coords="407,161,628,188"><area shape="rect" href="libKF_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="892,161,1121,188"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="791,316,1049,343"><area shape="rect" href="sim__var_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="339,239,576,265"><area shape="rect" href="mixef_8h.html" title="Bayesian Filtering for mixtures of exponential family (EF) members." alt="" coords="1384,239,1619,265"><area shape="rect" href="pmsm_8h-source.html" title="work/git/mixpp/pmsm/pmsm.h" alt="" coords="652,161,868,188"><area shape="rect" href="sim__var__arx_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="48,239,315,265"><area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="1096,239,1360,265"><area shape="rect" href="ekf__obj_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="651,239,1072,265"><area shape="rect" href="libPF_8h.html" title="Bayesian Filtering using stochastic sampling (Particle Filters)." alt="" coords="1300,161,1529,188"></map>
[19]37</div>
38
39<p>
[3]40<a href="libBM_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
41<tr><td></td></tr>
42<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
[162]43<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classstr.html">str</a></td></tr>
44
45<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Structure of <a class="el" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> (used internally).  <a href="classstr.html#_details">More...</a><br></td></tr>
[4]46<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classRV.html">RV</a></td></tr>
[3]47
[4]48<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing variables, most often random variables.  <a href="classRV.html#_details">More...</a><br></td></tr>
[3]49<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfnc.html">fnc</a></td></tr>
50
[91]51<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_35.png"> of variable <img class="formulaInl" alt="$x$" src="form_28.png"> represented by <code>rv</code>.  <a href="classfnc.html#_details">More...</a><br></td></tr>
[4]52<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classepdf.html">epdf</a></td></tr>
[3]53
[4]54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Probability density function with numerical statistics, e.g. posterior density.  <a href="classepdf.html#_details">More...</a><br></td></tr>
55<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html">mpdf</a></td></tr>
[3]56
[4]57<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional probability density, e.g. modeling some dependencies.  <a href="classmpdf.html#_details">More...</a><br></td></tr>
[139]58<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmepdf.html">mepdf</a></td></tr>
59
60<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Unconditional <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>.  <a href="classmepdf.html#_details">More...</a><br></td></tr>
[19]61<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classDS.html">DS</a></td></tr>
62
63<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Abstract class for discrete-time sources of data.  <a href="classDS.html#_details">More...</a><br></td></tr>
[32]64<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html">BM</a></td></tr>
65
66<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.  <a href="classBM.html#_details">More...</a><br></td></tr>
67<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBMcond.html">BMcond</a></td></tr>
68
69<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional Bayesian Filter.  <a href="classBMcond.html#_details">More...</a><br></td></tr>
[162]70<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
71<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="33c114e83980d883c5b211c47d5322a4"></a><!-- doxytag: member="libBM.h::concat" ref="33c114e83980d883c5b211c47d5322a4" args="(const RV &amp;rv1, const RV &amp;rv2)" -->
72<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="libBM_8h.html#33c114e83980d883c5b211c47d5322a4">concat</a> (const <a class="el" href="classRV.html">RV</a> &amp;rv1, const <a class="el" href="classRV.html">RV</a> &amp;rv2)</td></tr>
73
74<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Concat two random variables. <br></td></tr>
[3]75</table>
76<hr><a name="_details"></a><h2>Detailed Description</h2>
77Bayesian Models (bm) that use Bayes rule to learn from observations.
78<p>
79<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
80----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
[91]81Using IT++ for numerical operations ----------------------------------- </div>
[171]82<hr size="1"><address style="text-align: right;"><small>Generated on Tue Sep 23 16:00:46 2008 for mixpp by&nbsp;
[3]83<a href="http://www.doxygen.org/index.html">
[139]84<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
[3]85</body>
86</html>
Note: See TracBrowser for help on using the browser.