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03/05/08 16:01:56 (17 years ago)
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smidl
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Oprava PF a MPF + jejich implementace pro pmsm system

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    r32 r33  
    2121  </ul> 
    2222</div> 
    23 <h1>mlnorm&lt; sq_T &gt; Class Template Reference</h1><!-- doxytag: class="mlnorm" -->Normal distributed linear function with linear function of mean value;.   
     23<h1>mlnorm&lt; sq_T &gt; Class Template Reference</h1><!-- doxytag: class="mlnorm" --><!-- doxytag: inherits="mEF" -->Normal distributed linear function with linear function of mean value;.   
    2424<a href="#_details">More...</a> 
    2525<p> 
    2626<code>#include &lt;<a class="el" href="libEF_8h-source.html">libEF.h</a>&gt;</code> 
    2727<p> 
     28<div class="dynheader"> 
     29Inheritance diagram for mlnorm&lt; sq_T &gt;:</div> 
     30<div class="dynsection"> 
     31<p><center><img src="classmlnorm__inherit__graph.png" border="0" usemap="#mlnorm_3_01sq__T_01_4__inherit__map" alt="Inheritance graph"></center> 
     32<map name="mlnorm_3_01sq__T_01_4__inherit__map"> 
     33<area shape="rect" href="classmEF.html" title="Exponential family model." alt="" coords="44,84,95,111"><area shape="rect" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies." alt="" coords="41,7,97,33"></map> 
     34<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div> 
     35<div class="dynheader"> 
     36Collaboration diagram for mlnorm&lt; sq_T &gt;:</div> 
     37<div class="dynsection"> 
     38<p><center><img src="classmlnorm__coll__graph.png" border="0" usemap="#mlnorm_3_01sq__T_01_4__coll__map" alt="Collaboration graph"></center> 
     39<map name="mlnorm_3_01sq__T_01_4__coll__map"> 
     40<area shape="rect" href="classmEF.html" title="Exponential family model." alt="" coords="44,284,95,311"><area shape="rect" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies." alt="" coords="41,204,97,231"><area shape="rect" href="classRV.html" title="Class representing variables, most often random variables." alt="" coords="57,7,95,33"><area shape="rect" title="rv\nrvc" alt="" coords="68,31,76,39"><area shape="rect" title="rv\nrvc" alt="" coords="63,200,71,208"><area shape="rect" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density." alt="" coords="92,105,143,132"><area shape="rect" title="rv" alt="" coords="79,31,87,39"><area shape="rect" title="rv" alt="" coords="108,101,116,109"><area shape="rect" title="ep" alt="" coords="107,129,115,137"><area shape="rect" title="ep" alt="" coords="72,200,80,208"></map> 
     41<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div> 
    2842 
    2943<p> 
    … …  
    3246<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr> 
    3347<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f927203b3f31171c5c10ffc7caa797f5"></a><!-- doxytag: member="mlnorm::mlnorm" ref="f927203b3f31171c5c10ffc7caa797f5" args="(RV &amp;rv, RV &amp;rvc)" --> 
    34 &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#f927203b3f31171c5c10ffc7caa797f5">mlnorm</a> (<a class="el" href="classRV.html">RV</a> &amp;rv, <a class="el" href="classRV.html">RV</a> &amp;rvc)</td></tr> 
     48&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#f927203b3f31171c5c10ffc7caa797f5">mlnorm</a> (<a class="el" href="classRV.html">RV</a> &amp;<a class="el" href="classmpdf.html#f6687c07ff07d47812dd565368ca59eb">rv</a>, <a class="el" href="classRV.html">RV</a> &amp;<a class="el" href="classmpdf.html#acb7dda792b3cd5576f39fa3129abbab">rvc</a>)</td></tr> 
    3549 
    3650<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructor. <br></td></tr> 
    3751<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b6749030c5d5abcb3eb6898f74cea3c0"></a><!-- doxytag: member="mlnorm::set_parameters" ref="b6749030c5d5abcb3eb6898f74cea3c0" args="(const mat &amp;A, const sq_T &amp;R)" --> 
    38 void&nbsp;</td><td class="memItemRight" valign="bottom"><b>set_parameters</b> (const mat &amp;A, const sq_T &amp;R)</td></tr> 
     52void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#b6749030c5d5abcb3eb6898f74cea3c0">set_parameters</a> (const mat &amp;A, const sq_T &amp;R)</td></tr> 
    3953 
     54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set <code>A</code> and <code>R</code>. <br></td></tr> 
    4055<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="decf3e3b5c8e0812e5b4dbe94fa2ae18"></a><!-- doxytag: member="mlnorm::samplecond" ref="decf3e3b5c8e0812e5b4dbe94fa2ae18" args="(vec &amp;cond, double &amp;lik)" --> 
    4156vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#decf3e3b5c8e0812e5b4dbe94fa2ae18">samplecond</a> (vec &amp;cond, double &amp;lik)</td></tr> 
    … …  
    4762<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Generate matrix of samples of the posterior. <br></td></tr> 
    4863<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5232fc7e305eceab4e2bd6a8daa44195"></a><!-- doxytag: member="mlnorm::condition" ref="5232fc7e305eceab4e2bd6a8daa44195" args="(vec &amp;cond)" --> 
    49 void&nbsp;</td><td class="memItemRight" valign="bottom"><b>condition</b> (vec &amp;cond)</td></tr> 
     64void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#5232fc7e305eceab4e2bd6a8daa44195">condition</a> (vec &amp;cond)</td></tr> 
    5065 
     66<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set value of <code>rvc</code> . Result of this operation is stored in <code><a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a></code> use function <code>_ep</code> to access it. <br></td></tr> 
     67<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0f95a0cc6ab40611f46804682446ed83"></a><!-- doxytag: member="mlnorm::condition" ref="0f95a0cc6ab40611f46804682446ed83" args="(const vec &amp;cond)" --> 
     68virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#0f95a0cc6ab40611f46804682446ed83">condition</a> (const vec &amp;cond)</td></tr> 
     69 
     70<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Update <code>ep</code> so that it represents this <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> conditioned on <code>rvc</code> = cond. <br></td></tr> 
     71<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="80b738ece5bd4f8c4edaee4b38906f91"></a><!-- doxytag: member="mlnorm::evalcond" ref="80b738ece5bd4f8c4edaee4b38906f91" args="(const vec &amp;dt, const vec &amp;cond)" --> 
     72virtual double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#80b738ece5bd4f8c4edaee4b38906f91">evalcond</a> (const vec &amp;dt, const vec &amp;cond)</td></tr> 
     73 
     74<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Shortcut for conditioning and evaluation of the internal <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>. In some cases, this operation can be implemented efficiently. <br></td></tr> 
     75<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ec9c850305984582548e8deb64f0ffe8"></a><!-- doxytag: member="mlnorm::_rvc" ref="ec9c850305984582548e8deb64f0ffe8" args="()" --> 
     76<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#ec9c850305984582548e8deb64f0ffe8">_rvc</a> ()</td></tr> 
     77 
     78<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr> 
     79<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e17780ee5b2cfe05922a6c56af1462f8"></a><!-- doxytag: member="mlnorm::_epdf" ref="e17780ee5b2cfe05922a6c56af1462f8" args="()" --> 
     80<a class="el" href="classepdf.html">epdf</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#e17780ee5b2cfe05922a6c56af1462f8">_epdf</a> ()</td></tr> 
     81 
     82<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr> 
     83<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr> 
     84<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f6687c07ff07d47812dd565368ca59eb"></a><!-- doxytag: member="mlnorm::rv" ref="f6687c07ff07d47812dd565368ca59eb" args="" --> 
     85<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#f6687c07ff07d47812dd565368ca59eb">rv</a></td></tr> 
     86 
     87<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">modeled random variable <br></td></tr> 
     88<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="acb7dda792b3cd5576f39fa3129abbab"></a><!-- doxytag: member="mlnorm::rvc" ref="acb7dda792b3cd5576f39fa3129abbab" args="" --> 
     89<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#acb7dda792b3cd5576f39fa3129abbab">rvc</a></td></tr> 
     90 
     91<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">random variable in condition <br></td></tr> 
     92<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7aa894208a32f3487827df6d5054424c"></a><!-- doxytag: member="mlnorm::ep" ref="7aa894208a32f3487827df6d5054424c" args="" --> 
     93<a class="el" href="classepdf.html">epdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#7aa894208a32f3487827df6d5054424c">ep</a></td></tr> 
     94 
     95<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">pointer to internal <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> <br></td></tr> 
    5196</table> 
    5297<hr><a name="_details"></a><h2>Detailed Description</h2> 
    … …  
    58103Mean value $mu=A*rvc$. <hr>The documentation for this class was generated from the following file:<ul> 
    59104<li>work/mixpp/bdm/stat/<a class="el" href="libEF_8h-source.html">libEF.h</a></ul> 
    60 <hr size="1"><address style="text-align: right;"><small>Generated on Thu Feb 28 16:54:53 2008 for mixpp by&nbsp; 
     105<hr size="1"><address style="text-align: right;"><small>Generated on Wed Mar 5 15:40:08 2008 for mixpp by&nbsp; 
    61106<a href="http://www.doxygen.org/index.html"> 
    62107<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address>