Changeset 8 for doc

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Timestamp:
01/23/08 11:32:31 (17 years ago)
Author:
smidl
Message:

Kalmany funkci, PF nefunkci

Location:
doc
Files:
75 added
11 modified

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  • doc/html/annotated.html

    r7 r8  
    2222<h1>mixpp Class List</h1>Here are the classes, structs, unions and interfaces with brief descriptions:<table> 
    2323  <tr><td class="indexkey"><a class="el" href="classBM.html">BM</a></td><td class="indexvalue">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities </td></tr> 
     24  <tr><td class="indexkey"><a class="el" href="classeEF.html">eEF</a></td><td class="indexvalue">General conjugate exponential family posterior density </td></tr> 
     25  <tr><td class="indexkey"><a class="el" href="classenorm.html">enorm&lt; sq_T &gt;</a></td><td class="indexvalue">General exponential family density </td></tr> 
    2426  <tr><td class="indexkey"><a class="el" href="classepdf.html">epdf</a></td><td class="indexvalue">Probability density function with numerical statistics, e.g. posterior density </td></tr> 
    2527  <tr><td class="indexkey"><a class="el" href="classfnc.html">fnc</a></td><td class="indexvalue">Class representing function of variables </td></tr> 
    26   <tr><td class="indexkey"><a class="el" href="classKalman.html">Kalman</a></td><td class="indexvalue"><a class="el" href="classKalman.html" title="Kalman filter with covaraince matrices in square root form.">Kalman</a> filter with covaraince matrices in square root form </td></tr> 
    27   <tr><td class="indexkey"><a class="el" href="classKalmanFull.html">KalmanFull</a></td><td class="indexvalue">Basic <a class="el" href="classKalman.html" title="Kalman filter with covaraince matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! </td></tr> 
     28  <tr><td class="indexkey"><a class="el" href="classfsqmat.html">fsqmat</a></td><td class="indexvalue">Fake <a class="el" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square-root form...">sqmat</a>. This class maps <a class="el" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square-root form...">sqmat</a> operations to operations on full matrix </td></tr> 
     29  <tr><td class="indexkey"><a class="el" href="classKalman.html">Kalman&lt; sq_T &gt;</a></td><td class="indexvalue"><a class="el" href="classKalman.html" title="Kalman filter with covaraince matrices in square root form.">Kalman</a> filter with covaraince matrices in square root form </td></tr> 
     30  <tr><td class="indexkey"><a class="el" href="classKalmanFull.html">KalmanFull</a></td><td class="indexvalue">Basic <a class="el" href="classKalman.html" title="Kalman filter with covaraince matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! Will be deleted soon! </td></tr> 
    2831  <tr><td class="indexkey"><a class="el" href="classmpdf.html">mpdf</a></td><td class="indexvalue">Conditional probability density, e.g. modeling some dependencies </td></tr> 
     32  <tr><td class="indexkey"><a class="el" href="classPF.html">PF</a></td><td class="indexvalue">A Particle Filter prototype </td></tr> 
    2933  <tr><td class="indexkey"><a class="el" href="classRV.html">RV</a></td><td class="indexvalue">Class representing variables, most often random variables </td></tr> 
     34  <tr><td class="indexkey"><a class="el" href="classsqmat.html">sqmat</a></td><td class="indexvalue">Virtual class for representation of double symmetric matrices in square-root form </td></tr> 
     35  <tr><td class="indexkey"><a class="el" href="classTrivialPF.html">TrivialPF</a></td><td class="indexvalue">Trivial particle filter with proposal density that is not conditioned on the data </td></tr> 
    3036</table> 
    31 <hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:33 2008 for mixpp by&nbsp; 
     37<hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:10 2008 for mixpp by&nbsp; 
    3238<a href="http://www.doxygen.org/index.html"> 
    3339<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/html/classfnc-members.html

    r7 r8  
    2121</div> 
    2222<h1>fnc Member List</h1>This is the complete list of members for <a class="el" href="classfnc.html">fnc</a>, including all inherited members.<p><table> 
    23 </table><hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:34 2008 for mixpp by&nbsp; 
     23</table><hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:11 2008 for mixpp by&nbsp; 
    2424<a href="http://www.doxygen.org/index.html"> 
    2525<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/html/classfnc.html

    r7 r8  
    3333Class representing function of variables. <hr>The documentation for this class was generated from the following file:<ul> 
    3434<li>work/mixpp/<a class="el" href="libBM_8h-source.html">libBM.h</a></ul> 
    35 <hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:34 2008 for mixpp by&nbsp; 
     35<hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:11 2008 for mixpp by&nbsp; 
    3636<a href="http://www.doxygen.org/index.html"> 
    3737<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/html/files.html

    r7 r8  
    1717  <tr><td class="indexkey">work/mixpp/<a class="el" href="libBM_8h.html">libBM.h</a> <a href="libBM_8h-source.html">[code]</a></td><td class="indexvalue">Bayesian Models (bm) that use Bayes rule to learn from observations </td></tr> 
    1818  <tr><td class="indexkey">work/mixpp/<a class="el" href="libDC_8h.html">libDC.h</a> <a href="libDC_8h-source.html">[code]</a></td><td class="indexvalue">Matrices in decomposed forms (LDL', LU, UDU', etc) </td></tr> 
     19  <tr><td class="indexkey">work/mixpp/<a class="el" href="libEF_8h.html">libEF.h</a> <a href="libEF_8h-source.html">[code]</a></td><td class="indexvalue">Probability distributions for Exponential Family models </td></tr> 
    1920  <tr><td class="indexkey">work/mixpp/<a class="el" href="libKF_8h.html">libKF.h</a> <a href="libKF_8h-source.html">[code]</a></td><td class="indexvalue">Bayesian Filtering for linear Gaussian models (<a class="el" href="classKalman.html" title="Kalman filter with covaraince matrices in square root form.">Kalman</a> Filter) and extensions </td></tr> 
     21  <tr><td class="indexkey">work/mixpp/<a class="el" href="libPF_8h.html">libPF.h</a> <a href="libPF_8h-source.html">[code]</a></td><td class="indexvalue">Bayesian Filtering using stochastic sampling (Particle Filters) </td></tr> 
    2022</table> 
    21 <hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:34 2008 for mixpp by&nbsp; 
     23<hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:12 2008 for mixpp by&nbsp; 
    2224<a href="http://www.doxygen.org/index.html"> 
    2325<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/html/index.html

    r7 r8  
    1515<h1>mixpp Documentation</h1> 
    1616<p> 
    17 <h3 align="center">1 </h3><hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:33 2008 for mixpp by&nbsp; 
     17<h3 align="center">1 </h3><hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:10 2008 for mixpp by&nbsp; 
    1818<a href="http://www.doxygen.org/index.html"> 
    1919<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/html/libBM_8h-source.html

    r7 r8  
    3333<a name="l00035"></a>00035         <span class="keywordtype">void</span> init ( ivec in_ids, Array&lt;std::string&gt; in_names, ivec in_sizes, ivec in_times, ivec in_obs ); 
    3434<a name="l00036"></a>00036 <span class="keyword">public</span>: 
    35 <a name="l00038"></a>00038         <a class="code" href="classRV.html#e46882dec2c30b12be282d34b03417b2" title="Full constructor which is called by the others.">RV</a> ( ivec in_ids, Array&lt;std::string&gt; in_names, ivec in_sizes, ivec in_times, ivec in_obs ); 
    36 <a name="l00040"></a>00040         <a class="code" href="classRV.html#e46882dec2c30b12be282d34b03417b2" title="Full constructor which is called by the others.">RV</a> ( ivec ids ); 
    37 <a name="l00042"></a>00042         <span class="keyword">friend</span> std::ostream &amp;<a class="code" href="classRV.html#cad6f15535d10437f6690cb4492176a8" title="Printing output e.g. for debugging.">operator&lt;&lt; </a>( std::ostream &amp;os, <span class="keyword">const</span> <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &amp;rv ); 
    38 <a name="l00043"></a>00043  
    39 <a name="l00045"></a>00045         ivec <a class="code" href="classRV.html#45b869bced40dc3fa0df584aaf8228c0" title="Find indexes of another rv in self.">rvfind</a>(<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv2); 
    40 <a name="l00047"></a>00047         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#f47ab0015ebac822da3b2e00f42a8fc6" title="Add (concat) another variable to the current one.">rvadd</a>(<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv2); 
    41 <a name="l00049"></a>00049         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#269023ac4d41b21c4e1f7f17db1603b9" title="Subtract another variable from the current one.">rvsubt</a>(<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv2); 
    42 <a name="l00051"></a>00051         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#70a53f2bc37929bae899b0b24cda9d8e" title="Select only variables at indeces ind.">rvsubselect</a>(ivec ind); 
    43 <a name="l00053"></a>00053         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#28bbcb8873bafdac317bafb7b481cc45" title="Select only variables at indeces ind.">operator()</a>(ivec ind); 
    44 <a name="l00054"></a>00054 }; 
    45 <a name="l00055"></a>00055  
    46 <a name="l00056"></a>00056  
    47 <a name="l00057"></a>00057  
    48 <a name="l00058"></a>00058  
    49 <a name="l00060"></a><a class="code" href="classfnc.html">00060</a> <span class="keyword">class </span><a class="code" href="classfnc.html" title="Class representing function of variables.">fnc</a> { 
    50 <a name="l00061"></a>00061         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv; 
    51 <a name="l00062"></a>00062 }; 
     35<a name="l00038"></a>00038         <a class="code" href="classRV.html#6a22f5c06d6403870d4e414b1993bf9e" title="Empty constructor will be set later.">RV</a> ( ivec in_ids, Array&lt;std::string&gt; in_names, ivec in_sizes, ivec in_times, ivec in_obs ); 
     36<a name="l00040"></a>00040         <a class="code" href="classRV.html#6a22f5c06d6403870d4e414b1993bf9e" title="Empty constructor will be set later.">RV</a> ( ivec ids ); 
     37<a name="l00042"></a>00042         <a class="code" href="classRV.html#6a22f5c06d6403870d4e414b1993bf9e" title="Empty constructor will be set later.">RV</a> (); 
     38<a name="l00043"></a>00043          
     39<a name="l00045"></a>00045         <span class="keyword">friend</span> std::ostream &amp;<a class="code" href="classRV.html#cad6f15535d10437f6690cb4492176a8" title="Printing output e.g. for debugging.">operator&lt;&lt; </a>( std::ostream &amp;os, <span class="keyword">const</span> <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &amp;rv ); 
     40<a name="l00046"></a>00046  
     41<a name="l00048"></a>00048         <span class="keywordtype">int</span> <a class="code" href="classRV.html#a764092415291a0e6452a3711749d18e" title="Return length (number of scalars) of the RV.">length</a>(); 
     42<a name="l00050"></a>00050         ivec <a class="code" href="classRV.html#45b869bced40dc3fa0df584aaf8228c0" title="Find indexes of another rv in self.">rvfind</a>(<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv2); 
     43<a name="l00052"></a>00052         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#f47ab0015ebac822da3b2e00f42a8fc6" title="Add (concat) another variable to the current one.">rvadd</a>(<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv2); 
     44<a name="l00054"></a>00054         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#269023ac4d41b21c4e1f7f17db1603b9" title="Subtract another variable from the current one.">rvsubt</a>(<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv2); 
     45<a name="l00056"></a>00056         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#70a53f2bc37929bae899b0b24cda9d8e" title="Select only variables at indeces ind.">rvsubselect</a>(ivec ind); 
     46<a name="l00058"></a>00058         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classRV.html#28bbcb8873bafdac317bafb7b481cc45" title="Select only variables at indeces ind.">operator()</a>(ivec ind); 
     47<a name="l00060"></a>00060         <span class="keywordtype">void</span> <a class="code" href="classRV.html#e0a158d53ab9430627241f844f4c9a60" title="Generate new RV with time shifted by delta.">t</a>(<span class="keywordtype">int</span> delta); 
     48<a name="l00061"></a>00061 }; 
     49<a name="l00062"></a>00062  
    5250<a name="l00063"></a>00063  
    53 <a name="l00065"></a><a class="code" href="classBM.html">00065</a> <span class="keyword">class </span><a class="code" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a> { 
    54 <a name="l00066"></a>00066 <span class="keyword">public</span>: 
    55 <a name="l00071"></a>00071         <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classBM.html#c52edf4ad6e1dff9bf64b9e1e0cfb1f0" title="Incremental Bayes rule.">bayes</a> ( <span class="keyword">const</span> vec &amp;dt, <span class="keywordtype">bool</span> evall=<span class="keyword">true</span> ) = 0; 
    56 <a name="l00073"></a>00073         <span class="keywordtype">void</span> <a class="code" href="classBM.html#c52edf4ad6e1dff9bf64b9e1e0cfb1f0" title="Incremental Bayes rule.">bayes</a> ( mat Dt ); 
    57 <a name="l00074"></a>00074 }; 
    58 <a name="l00075"></a>00075  
    59 <a name="l00077"></a><a class="code" href="classepdf.html">00077</a> <span class="keyword">class </span><a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> { 
    60 <a name="l00078"></a>00078         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv; 
    61 <a name="l00079"></a>00079 <span class="keyword">public</span>: 
    62 <a name="l00081"></a>00081         <span class="keyword">virtual</span> vec <a class="code" href="classepdf.html#545555f9d561555603911f7d3989611f" title="Returns the required moment of the epdf.">moment</a> ( <span class="keyword">const</span> <span class="keywordtype">int</span> order = 1 ); 
    63 <a name="l00082"></a>00082 }; 
    64 <a name="l00083"></a>00083  
    65 <a name="l00085"></a><a class="code" href="classmpdf.html">00085</a> <span class="keyword">class </span><a class="code" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> { 
    66 <a name="l00087"></a>00087         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv; 
    67 <a name="l00089"></a>00089         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rvc; 
    68 <a name="l00090"></a>00090 <span class="keyword">public</span>: 
    69 <a name="l00091"></a>00091  
    70 <a name="l00093"></a>00093         <span class="keyword">virtual</span> <a class="code" href="classfnc.html" title="Class representing function of variables.">fnc</a> <a class="code" href="classmpdf.html#0863640c439869e8fbbbeb2bd8ea1fc0" title="Returns the required moment of the epdf.">moment</a> ( <span class="keyword">const</span> <span class="keywordtype">int</span> order = 1 ); 
    71 <a name="l00094"></a>00094 }; 
    72 <a name="l00095"></a>00095  
    73 <a name="l00096"></a>00096 <span class="preprocessor">#endif // BM_H</span> 
    74 </pre></div><hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:33 2008 for mixpp by&nbsp; 
     51<a name="l00064"></a>00064  
     52<a name="l00065"></a>00065  
     53<a name="l00067"></a><a class="code" href="classfnc.html">00067</a> <span class="keyword">class </span><a class="code" href="classfnc.html" title="Class representing function of variables.">fnc</a> { 
     54<a name="l00068"></a>00068         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv; 
     55<a name="l00069"></a>00069 }; 
     56<a name="l00070"></a>00070  
     57<a name="l00072"></a><a class="code" href="classBM.html">00072</a> <span class="keyword">class </span><a class="code" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a> { 
     58<a name="l00073"></a>00073 <span class="keyword">public</span>: 
     59<a name="l00075"></a><a class="code" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">00075</a>         <span class="keywordtype">double</span> <a class="code" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979" title="Logarithm of marginalized data likelihood.">ll</a>; 
     60<a name="l00076"></a>00076  
     61<a name="l00081"></a>00081         <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classBM.html#c52edf4ad6e1dff9bf64b9e1e0cfb1f0" title="Incremental Bayes rule.">bayes</a> ( <span class="keyword">const</span> vec &amp;dt, <span class="keywordtype">bool</span> evall=<span class="keyword">true</span> ) = 0; 
     62<a name="l00083"></a>00083         <span class="keywordtype">void</span> <a class="code" href="classBM.html#c52edf4ad6e1dff9bf64b9e1e0cfb1f0" title="Incremental Bayes rule.">bayes</a> ( mat Dt ); 
     63<a name="l00084"></a>00084 }; 
     64<a name="l00085"></a>00085  
     65<a name="l00087"></a><a class="code" href="classepdf.html">00087</a> <span class="keyword">class </span><a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> { 
     66<a name="l00088"></a>00088         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv; 
     67<a name="l00089"></a>00089 <span class="keyword">public</span>: 
     68<a name="l00091"></a>00091 <span class="comment">//      virtual vec moment ( const int order = 1 );</span> 
     69<a name="l00093"></a><a class="code" href="classepdf.html#e6ce993603a95c2645eb86305ea51396">00093</a> <span class="comment"></span>        <span class="keyword">virtual</span> vec <a class="code" href="classepdf.html#e6ce993603a95c2645eb86305ea51396" title="Returns the required moment of the epdf.">sample</a> (){}; 
     70<a name="l00094"></a>00094         <span class="keyword">virtual</span> <span class="keywordtype">double</span> eval(<span class="keyword">const</span> vec &amp;val){}; 
     71<a name="l00095"></a>00095 }; 
     72<a name="l00096"></a>00096  
     73<a name="l00098"></a><a class="code" href="classmpdf.html">00098</a> <span class="keyword">class </span><a class="code" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> { 
     74<a name="l00100"></a>00100         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rv; 
     75<a name="l00102"></a>00102         <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> rvc; 
     76<a name="l00103"></a>00103 <span class="keyword">public</span>: 
     77<a name="l00104"></a>00104  
     78<a name="l00106"></a>00106 <span class="comment">//      virtual fnc moment ( const int order = 1 );</span> 
     79<a name="l00108"></a><a class="code" href="classmpdf.html#c20c796f8d0a201f0897299150e45a41">00108</a> <span class="comment"></span>        <span class="keyword">virtual</span> vec <a class="code" href="classmpdf.html#c20c796f8d0a201f0897299150e45a41" title="Returns the required moment of the epdf.">samplecond</a> (vec &amp;cond, <span class="keywordtype">double</span> lik){}; 
     80<a name="l00109"></a>00109         <span class="keyword">virtual</span> <span class="keywordtype">void</span> condition (vec &amp;cond){}; 
     81<a name="l00110"></a>00110 }; 
     82<a name="l00111"></a>00111  
     83<a name="l00112"></a>00112 <span class="preprocessor">#endif // BM_H</span> 
     84</pre></div><hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:10 2008 for mixpp by&nbsp; 
    7585<a href="http://www.doxygen.org/index.html"> 
    7686<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/html/libBM_8h.html

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    4242<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> 
    4343----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> 
    44 Using IT++ for numerical operations ----------------------------------- <hr size="1"><address style="text-align: right;"><small>Generated on Sun Jan 20 12:47:33 2008 for mixpp by&nbsp; 
     44Using IT++ for numerical operations ----------------------------------- <hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:10 2008 for mixpp by&nbsp; 
    4545<a href="http://www.doxygen.org/index.html"> 
    4646<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> 

  • doc/latex/annotated.tex

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    22Here are the classes, structs, unions and interfaces with brief descriptions:\begin{CompactList} 
    33\item\contentsline{section}{{\bf BM} (Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities )}{\pageref{classBM}}{} 
     4\item\contentsline{section}{{\bf eEF} (General conjugate exponential family posterior density )}{\pageref{classeEF}}{} 
     5\item\contentsline{section}{{\bf enorm$<$ sq\_\-T $>$} (General exponential family density )}{\pageref{classenorm}}{} 
    46\item\contentsline{section}{{\bf epdf} (Probability density function with numerical statistics, e.g. posterior density )}{\pageref{classepdf}}{} 
    57\item\contentsline{section}{{\bf fnc} (Class representing function of variables )}{\pageref{classfnc}}{} 
    6 \item\contentsline{section}{{\bf Kalman} (\doxyref{Kalman}{p.}{classKalman} filter with covaraince matrices in square root form )}{\pageref{classKalman}}{} 
    7 \item\contentsline{section}{{\bf KalmanFull} (Basic \doxyref{Kalman}{p.}{classKalman} filter with full matrices (education purpose only)! )}{\pageref{classKalmanFull}}{} 
     8\item\contentsline{section}{{\bf fsqmat} (Fake \doxyref{sqmat}{p.}{classsqmat}. This class maps \doxyref{sqmat}{p.}{classsqmat} operations to operations on full matrix )}{\pageref{classfsqmat}}{} 
     9\item\contentsline{section}{{\bf Kalman$<$ sq\_\-T $>$} (\doxyref{Kalman}{p.}{classKalman} filter with covaraince matrices in square root form )}{\pageref{classKalman}}{} 
     10\item\contentsline{section}{{\bf KalmanFull} (Basic \doxyref{Kalman}{p.}{classKalman} filter with full matrices (education purpose only)! Will be deleted soon! )}{\pageref{classKalmanFull}}{} 
    811\item\contentsline{section}{{\bf mpdf} (Conditional probability density, e.g. modeling some dependencies )}{\pageref{classmpdf}}{} 
     12\item\contentsline{section}{{\bf PF} (A Particle Filter prototype )}{\pageref{classPF}}{} 
    913\item\contentsline{section}{{\bf RV} (Class representing variables, most often random variables )}{\pageref{classRV}}{} 
     14\item\contentsline{section}{{\bf sqmat} (Virtual class for representation of double symmetric matrices in square-root form )}{\pageref{classsqmat}}{} 
     15\item\contentsline{section}{{\bf TrivialPF} (Trivial particle filter with proposal density that is not conditioned on the data )}{\pageref{classTrivialPF}}{} 
    1016\end{CompactList} 

  • doc/latex/doxygen.sty

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    1111\rhead[\fancyplain{}{\bfseries\leftmark}] 
    1212        {\fancyplain{}{\bfseries\thepage}} 
    13 \rfoot[\fancyplain{}{\bfseries\scriptsize Generated on Sun Jan 20 12:47:33 2008 for mixpp by Doxygen }]{} 
    14 \lfoot[]{\fancyplain{}{\bfseries\scriptsize Generated on Sun Jan 20 12:47:33 2008 for mixpp by Doxygen }} 
     13\rfoot[\fancyplain{}{\bfseries\scriptsize Generated on Wed Jan 23 11:30:10 2008 for mixpp by Doxygen }]{} 
     14\lfoot[]{\fancyplain{}{\bfseries\scriptsize Generated on Wed Jan 23 11:30:10 2008 for mixpp by Doxygen }} 
    1515\cfoot{} 
    1616\newenvironment{Code} 

  • doc/latex/files.tex

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    44\item\contentsline{section}{work/mixpp/{\bf libBM.h} (Bayesian Models (bm) that use Bayes rule to learn from observations )}{\pageref{libBM_8h}}{} 
    55\item\contentsline{section}{work/mixpp/{\bf libDC.h} (Matrices in decomposed forms (LDL', LU, UDU', etc) )}{\pageref{libDC_8h}}{} 
     6\item\contentsline{section}{work/mixpp/{\bf libEF.h} (Probability distributions for Exponential Family models )}{\pageref{libEF_8h}}{} 
    67\item\contentsline{section}{work/mixpp/{\bf libKF.h} (Bayesian Filtering for linear Gaussian models (\doxyref{Kalman}{p.}{classKalman} Filter) and extensions )}{\pageref{libKF_8h}}{} 
     8\item\contentsline{section}{work/mixpp/{\bf libPF.h} (Bayesian Filtering using stochastic sampling (Particle Filters) )}{\pageref{libPF_8h}}{} 
    79\end{CompactList} 

  • doc/latex/refman.tex

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    2121{\large Generated by Doxygen 1.5.3}\\ 
    2222\vspace*{0.5cm} 
    23 {\small Sun Jan 20 12:47:33 2008}\\ 
     23{\small Wed Jan 23 11:30:10 2008}\\ 
    2424\end{center} 
    2525\end{titlepage} 
    … …  
    3737\chapter{mixpp Class Documentation} 
    3838\input{classBM} 
     39\include{classeEF} 
     40\include{classenorm} 
    3941\include{classepdf} 
    4042\include{classfnc} 
     43\include{classfsqmat} 
    4144\include{classKalman} 
    4245\include{classKalmanFull} 
    4346\include{classmpdf} 
     47\include{classPF} 
    4448\include{classRV} 
     49\include{classsqmat} 
     50\include{classTrivialPF} 
    4551\chapter{mixpp File Documentation} 
    4652\input{libBM_8h} 
    4753\include{libDC_8h} 
     54\include{libEF_8h} 
    4855\include{libKF_8h} 
     56\include{libPF_8h} 
    4957\printindex 
    5058\end{document}