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3<title>mixpp: mlnorm&lt; sq_T &gt; Class Template Reference</title>
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26<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;. 
27<a href="#_details">More...</a>
28<p>
29<code>#include &lt;<a class="el" href="libEF_8h-source.html">libEF.h</a>&gt;</code>
30<p>
31<div class="dynheader">
32Inheritance diagram for mlnorm&lt; sq_T &gt;:</div>
33<div class="dynsection">
34<p><center><img src="classmlnorm__inherit__graph.png" border="0" usemap="#mlnorm_3_01sq__T_01_4__inherit__map" alt="Inheritance graph"></center>
35<map name="mlnorm_3_01sq__T_01_4__inherit__map">
36<area shape="rect" href="classmEF.html" title="Exponential family model." alt="" coords="40,82,88,106"><area shape="rect" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies." alt="" coords="39,7,89,31"></map>
37<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
38<div class="dynheader">
39Collaboration diagram for mlnorm&lt; sq_T &gt;:</div>
40<div class="dynsection">
41<p><center><img src="classmlnorm__coll__graph.png" border="0" usemap="#mlnorm_3_01sq__T_01_4__coll__map" alt="Collaboration graph"></center>
42<map name="mlnorm_3_01sq__T_01_4__coll__map">
43<area shape="rect" href="classmEF.html" title="Exponential family model." alt="" coords="40,263,88,287"><area shape="rect" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies." alt="" coords="39,186,89,210"><area shape="rect" href="classRV.html" title="Class representing variables, most often random variables." alt="" coords="51,7,88,31"><area shape="rect" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density." alt="" coords="84,96,129,120"></map>
44<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
45
46<p>
47<a href="classmlnorm-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
48<tr><td></td></tr>
49<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
50<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)" -->
51&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>
52
53<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructor. <br></td></tr>
54<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)" -->
55void&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>
56
57<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set <code>A</code> and <code>R</code>. <br></td></tr>
58<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)" -->
59vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#decf3e3b5c8e0812e5b4dbe94fa2ae18">samplecond</a> (vec &amp;cond, double &amp;lik)</td></tr>
60
61<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Generate one sample of the posterior. <br></td></tr>
62<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="215fb88cc8b95d64cdefd6849abdd1e8"></a><!-- doxytag: member="mlnorm::samplecond" ref="215fb88cc8b95d64cdefd6849abdd1e8" args="(vec &amp;cond, vec &amp;lik, int n)" -->
63mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#215fb88cc8b95d64cdefd6849abdd1e8">samplecond</a> (vec &amp;cond, vec &amp;lik, int n)</td></tr>
64
65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Generate matrix of samples of the posterior. <br></td></tr>
66<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)" -->
67void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#5232fc7e305eceab4e2bd6a8daa44195">condition</a> (vec &amp;cond)</td></tr>
68
69<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>
70<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)" -->
71virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#0f95a0cc6ab40611f46804682446ed83">condition</a> (const vec &amp;cond)</td></tr>
72
73<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>
74<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)" -->
75virtual 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>
76
77<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>
78<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ec9c850305984582548e8deb64f0ffe8"></a><!-- doxytag: member="mlnorm::_rvc" ref="ec9c850305984582548e8deb64f0ffe8" args="()" -->
79<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>
80
81<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
82<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e17780ee5b2cfe05922a6c56af1462f8"></a><!-- doxytag: member="mlnorm::_epdf" ref="e17780ee5b2cfe05922a6c56af1462f8" args="()" -->
83<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>
84
85<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
86<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
87<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f6687c07ff07d47812dd565368ca59eb"></a><!-- doxytag: member="mlnorm::rv" ref="f6687c07ff07d47812dd565368ca59eb" args="" -->
88<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>
89
90<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">modeled random variable <br></td></tr>
91<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="acb7dda792b3cd5576f39fa3129abbab"></a><!-- doxytag: member="mlnorm::rvc" ref="acb7dda792b3cd5576f39fa3129abbab" args="" -->
92<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>
93
94<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">random variable in condition <br></td></tr>
95<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7aa894208a32f3487827df6d5054424c"></a><!-- doxytag: member="mlnorm::ep" ref="7aa894208a32f3487827df6d5054424c" args="" -->
96<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>
97
98<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>
99</table>
100<hr><a name="_details"></a><h2>Detailed Description</h2>
101<h3>template&lt;class sq_T&gt;<br>
102 class mlnorm&lt; sq_T &gt;</h3>
103
104Normal distributed linear function with linear function of mean value;.
105<p>
106Mean value <img class="formulaInl" alt="$mu=A*rvc$" src="form_40.png">. <hr>The documentation for this class was generated from the following file:<ul>
107<li>work/mixpp/bdm/stat/<a class="el" href="libEF_8h-source.html">libEF.h</a></ul>
108</div>
109<hr size="1"><address style="text-align: right;"><small>Generated on Tue Apr 29 20:46:56 2008 for mixpp by&nbsp;
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