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3<title>mixpp: mlstudent Class Reference</title>
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27<h1>mlstudent Class Reference</h1><!-- doxytag: class="mlstudent" --><!-- doxytag: inherits="mlnorm&lt; ldmat &gt;" --><code>#include &lt;<a class="el" href="libEF_8h-source.html">libEF.h</a>&gt;</code>
28<p>
29<div class="dynheader">
30Inheritance diagram for mlstudent:</div>
31<div class="dynsection">
32<p><center><img src="classmlstudent__inherit__graph.png" border="0" usemap="#mlstudent__inherit__map" alt="Inheritance graph"></center>
33<map name="mlstudent__inherit__map">
34<area shape="rect" href="classmlnorm.html" title="mlnorm\&lt; ldmat \&gt;" alt="" coords="5,263,144,289"><area shape="rect" href="classmEF.html" title="Exponential family model." alt="" coords="31,87,79,113"><area shape="rect" href="classmlnorm.html" title="Normal distributed linear function with linear function of mean value;." alt="" coords="76,167,207,193"><area shape="rect" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies." alt="" coords="28,7,81,33"></map>
35<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
36<div class="dynheader">
37Collaboration diagram for mlstudent:</div>
38<div class="dynsection">
39<p><center><img src="classmlstudent__coll__graph.png" border="0" usemap="#mlstudent__coll__map" alt="Collaboration graph"></center>
40<map name="mlstudent__coll__map">
41<area shape="rect" href="classmlnorm.html" title="mlnorm\&lt; ldmat \&gt;" alt="" coords="141,527,280,553"><area shape="rect" href="classmEF.html" title="Exponential family model." alt="" coords="111,300,159,327"><area shape="rect" href="classmlnorm.html" title="Normal distributed linear function with linear function of mean value;." alt="" coords="5,396,136,423"><area shape="rect" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies." alt="" coords="108,204,161,231"><area shape="rect" href="classRV.html" title="Class representing variables, most often random variables." alt="" coords="139,7,176,33"><area shape="rect" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density." alt="" coords="173,105,221,132"><area shape="rect" href="classeEF.html" title="General conjugate exponential family posterior density." alt="" coords="189,204,232,231"><area shape="rect" href="classenorm.html" title="enorm\&lt; ldmat \&gt;" alt="" coords="212,396,343,423"><area shape="rect" href="classenorm.html" title="Gaussian density with positive definite (decomposed) covariance matrix." alt="" coords="244,300,367,327"><area shape="rect" href="classldmat.html" title="Matrix stored in LD form, (commonly known as UD)." alt="" coords="391,300,449,327"><area shape="rect" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square&#45;root form..." alt="" coords="389,204,451,231"></map>
42<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
43
44<p>
45<a href="classmlstudent-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
46<tr><td></td></tr>
47<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
48<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="4bacc99b1427f7001e47e070c91fe877"></a><!-- doxytag: member="mlstudent::mlstudent" ref="4bacc99b1427f7001e47e070c91fe877" args="(const RV &amp;rv0, const RV &amp;rvc0)" -->
49&nbsp;</td><td class="memItemRight" valign="bottom"><b>mlstudent</b> (const <a class="el" href="classRV.html">RV</a> &amp;rv0, const <a class="el" href="classRV.html">RV</a> &amp;rvc0)</td></tr>
50
51<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="160b9a825dac16d6b8a79ba15ddb2cfa"></a><!-- doxytag: member="mlstudent::set_parameters" ref="160b9a825dac16d6b8a79ba15ddb2cfa" args="(const mat &amp;A0, const vec &amp;mu0, const ldmat &amp;R0, const ldmat &amp;Lambda0)" -->
52void&nbsp;</td><td class="memItemRight" valign="bottom"><b>set_parameters</b> (const mat &amp;A0, const vec &amp;mu0, const <a class="el" href="classldmat.html">ldmat</a> &amp;R0, const <a class="el" href="classldmat.html">ldmat</a> &amp;Lambda0)</td></tr>
53
54<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="d153460ae0180f4bc7f28301f5cde876"></a><!-- doxytag: member="mlstudent::condition" ref="d153460ae0180f4bc7f28301f5cde876" args="(const vec &amp;cond)" -->
55void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlstudent.html#d153460ae0180f4bc7f28301f5cde876">condition</a> (const vec &amp;cond)</td></tr>
56
57<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>
58<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f95dfce0b500636a44ecd7e5210de999"></a><!-- doxytag: member="mlstudent::set_parameters" ref="f95dfce0b500636a44ecd7e5210de999" args="(const mat &amp;A, const vec &amp;mu0, const ldmat &amp;R)" -->
59void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#f95dfce0b500636a44ecd7e5210de999">set_parameters</a> (const mat &amp;A, const vec &amp;mu0, const <a class="el" href="classldmat.html">ldmat</a> &amp;R)</td></tr>
60
61<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set <code>A</code> and <code>R</code>. <br></td></tr>
62<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="2732ae47835dd25d5784bf08fde0a546"></a><!-- doxytag: member="mlstudent::_mu_const" ref="2732ae47835dd25d5784bf08fde0a546" args="()" -->
63vec &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#2732ae47835dd25d5784bf08fde0a546">_mu_const</a> ()</td></tr>
64
65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
66<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="65ec3840c21b21102896bfd2282b47b3"></a><!-- doxytag: member="mlstudent::_A" ref="65ec3840c21b21102896bfd2282b47b3" args="()" -->
67mat &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#65ec3840c21b21102896bfd2282b47b3">_A</a> ()</td></tr>
68
69<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
70<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="3ff2b03fbb5e1133a5fe1bf831939f63"></a><!-- doxytag: member="mlstudent::_R" ref="3ff2b03fbb5e1133a5fe1bf831939f63" args="()" -->
71mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#3ff2b03fbb5e1133a5fe1bf831939f63">_R</a> ()</td></tr>
72
73<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
74<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#3f172b79ec4a5ebc87898a5381141f1b">samplecond</a> (const vec &amp;cond, double &amp;ll)</td></tr>
75
76<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns a sample from the density conditioned on <code>cond</code>, <img class="formulaInl" alt="$x \sim epdf(rv|cond)$" src="form_10.png">.  <a href="#3f172b79ec4a5ebc87898a5381141f1b"></a><br></td></tr>
77<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#b1dae6171ee39a6a05976c7b1007a3c5">samplecond_m</a> (const vec &amp;cond, vec &amp;ll, int N)</td></tr>
78
79<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns.  <a href="#b1dae6171ee39a6a05976c7b1007a3c5"></a><br></td></tr>
80<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="2ef8a6374029d990a678782f6decebbe"></a><!-- doxytag: member="mlstudent::evallogcond" ref="2ef8a6374029d990a678782f6decebbe" args="(const vec &amp;dt, const vec &amp;cond)" -->
81virtual double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#2ef8a6374029d990a678782f6decebbe">evallogcond</a> (const vec &amp;dt, const vec &amp;cond)</td></tr>
82
83<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>
84<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="95fcff214848f66f1b489459370573fa"></a><!-- doxytag: member="mlstudent::evallogcond_m" ref="95fcff214848f66f1b489459370573fa" args="(const mat &amp;Dt, const vec &amp;cond)" -->
85virtual vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#95fcff214848f66f1b489459370573fa">evallogcond_m</a> (const mat &amp;Dt, const vec &amp;cond)</td></tr>
86
87<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix version of evallogcond. <br></td></tr>
88<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="15ef062183b1ccdf794732d5fa0b77cd"></a><!-- doxytag: member="mlstudent::_rvc" ref="15ef062183b1ccdf794732d5fa0b77cd" args="() const " -->
89<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#15ef062183b1ccdf794732d5fa0b77cd">_rvc</a> () const </td></tr>
90
91<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
92<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="71256ffb5fbd08f41d650e606a5bd585"></a><!-- doxytag: member="mlstudent::_rv" ref="71256ffb5fbd08f41d650e606a5bd585" args="() const " -->
93<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#71256ffb5fbd08f41d650e606a5bd585">_rv</a> () const </td></tr>
94
95<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
96<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e17780ee5b2cfe05922a6c56af1462f8"></a><!-- doxytag: member="mlstudent::_epdf" ref="e17780ee5b2cfe05922a6c56af1462f8" args="()" -->
97<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>
98
99<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
100<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="75ded3b0f657cd7da6590691a810963c"></a><!-- doxytag: member="mlstudent::_e" ref="75ded3b0f657cd7da6590691a810963c" args="()" -->
101<a class="el" href="classepdf.html">epdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html#75ded3b0f657cd7da6590691a810963c">_e</a> ()</td></tr>
102
103<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
104<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
105<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="37bc739863e41fcd6dc4645bdca8099c"></a><!-- doxytag: member="mlstudent::Lambda" ref="37bc739863e41fcd6dc4645bdca8099c" args="" -->
106<a class="el" href="classldmat.html">ldmat</a>&nbsp;</td><td class="memItemRight" valign="bottom"><b>Lambda</b></td></tr>
107
108<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="01ca0dd5fdb399b0941a86f30a95d1ba"></a><!-- doxytag: member="mlstudent::_R" ref="01ca0dd5fdb399b0941a86f30a95d1ba" args="" -->
109<a class="el" href="classldmat.html">ldmat</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><b>_R</b></td></tr>
110
111<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="9b6b64156d06ccf57e5f549a6bf9dc96"></a><!-- doxytag: member="mlstudent::Re" ref="9b6b64156d06ccf57e5f549a6bf9dc96" args="" -->
112<a class="el" href="classldmat.html">ldmat</a>&nbsp;</td><td class="memItemRight" valign="bottom"><b>Re</b></td></tr>
113
114<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b76ee2171ace4fb3ff95a131ae8fc421"></a><!-- doxytag: member="mlstudent::epdf" ref="b76ee2171ace4fb3ff95a131ae8fc421" args="" -->
115<a class="el" href="classenorm.html">enorm</a>&lt; <a class="el" href="classldmat.html">ldmat</a> &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmlnorm.html#b76ee2171ace4fb3ff95a131ae8fc421">epdf</a></td></tr>
116
117<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Internal <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> that arise by conditioning on <code>rvc</code>. <br></td></tr>
118<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="90a62528ca1ce79b6396ff899119da0f"></a><!-- doxytag: member="mlstudent::A" ref="90a62528ca1ce79b6396ff899119da0f" args="" -->
119mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>A</b></td></tr>
120
121<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ebab82017f10fbde483971bbf3b4004d"></a><!-- doxytag: member="mlstudent::mu_const" ref="ebab82017f10fbde483971bbf3b4004d" args="" -->
122vec&nbsp;</td><td class="memItemRight" valign="bottom"><b>mu_const</b></td></tr>
123
124<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="17552bef9aeba92a42516fe7d39a5893"></a><!-- doxytag: member="mlstudent::_mu" ref="17552bef9aeba92a42516fe7d39a5893" args="" -->
125vec &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><b>_mu</b></td></tr>
126
127<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f6687c07ff07d47812dd565368ca59eb"></a><!-- doxytag: member="mlstudent::rv" ref="f6687c07ff07d47812dd565368ca59eb" args="" -->
128<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>
129
130<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">modeled random variable <br></td></tr>
131<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="acb7dda792b3cd5576f39fa3129abbab"></a><!-- doxytag: member="mlstudent::rvc" ref="acb7dda792b3cd5576f39fa3129abbab" args="" -->
132<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>
133
134<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">random variable in condition <br></td></tr>
135<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7aa894208a32f3487827df6d5054424c"></a><!-- doxytag: member="mlstudent::ep" ref="7aa894208a32f3487827df6d5054424c" args="" -->
136<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>
137
138<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>
139<tr><td colspan="2"><br><h2>Friends</h2></td></tr>
140<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="1917009347bb410f73bf827df8767b09"></a><!-- doxytag: member="mlstudent::operator&lt;&lt;" ref="1917009347bb410f73bf827df8767b09" args="(std::ostream &amp;os, mlnorm&lt; sq_M &gt; &amp;ml)" -->
141std::ostream &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><b>operator&lt;&lt;</b> (std::ostream &amp;os, <a class="el" href="classmlnorm.html">mlnorm</a>&lt; sq_M &gt; &amp;ml)</td></tr>
142
143</table>
144<hr><a name="_details"></a><h2>Detailed Description</h2>
145(Approximate) Student t density with linear function of mean value <hr><h2>Member Function Documentation</h2>
146<a class="anchor" name="3f172b79ec4a5ebc87898a5381141f1b"></a><!-- doxytag: member="mlstudent::samplecond" ref="3f172b79ec4a5ebc87898a5381141f1b" args="(const vec &amp;cond, double &amp;ll)" -->
147<div class="memitem">
148<div class="memproto">
149      <table class="memname">
150        <tr>
151          <td class="memname">virtual vec mpdf::samplecond           </td>
152          <td>(</td>
153          <td class="paramtype">const vec &amp;&nbsp;</td>
154          <td class="paramname"> <em>cond</em>, </td>
155        </tr>
156        <tr>
157          <td class="paramkey"></td>
158          <td></td>
159          <td class="paramtype">double &amp;&nbsp;</td>
160          <td class="paramname"> <em>ll</em></td><td>&nbsp;</td>
161        </tr>
162        <tr>
163          <td></td>
164          <td>)</td>
165          <td></td><td></td><td><code> [inline, virtual, inherited]</code></td>
166        </tr>
167      </table>
168</div>
169<div class="memdoc">
170
171<p>
172Returns a sample from the density conditioned on <code>cond</code>, <img class="formulaInl" alt="$x \sim epdf(rv|cond)$" src="form_10.png">.
173<p>
174<dl compact><dt><b>Parameters:</b></dt><dd>
175  <table border="0" cellspacing="2" cellpadding="0">
176    <tr><td valign="top"></td><td valign="top"><em>cond</em>&nbsp;</td><td>is numeric value of <code>rv</code> </td></tr>
177    <tr><td valign="top"></td><td valign="top"><em>ll</em>&nbsp;</td><td>is a return value of log-likelihood of the sample. </td></tr>
178  </table>
179</dl>
180
181<p>Reimplemented in <a class="el" href="classmprod.html#a48887eb8738a9e5550bfc38eb8e9d68">mprod</a>.</p>
182
183<p>References <a class="el" href="libBM_8h-source.html#l00239">mpdf::condition()</a>, <a class="el" href="libBM_8h-source.html#l00222">mpdf::ep</a>, <a class="el" href="classepdf.html#e1996af1da1fa1214270066a96ca113e">epdf::evallog()</a>, and <a class="el" href="classepdf.html#8019654e494bf5e458f6fb947e11b262">epdf::sample()</a>.</p>
184
185<p>Referenced by <a class="el" href="libPF_8h-source.html#l00147">MPF&lt; BM_T &gt;::bayes()</a>, and <a class="el" href="libPF_8cpp-source.html#l00007">PF::bayes()</a>.</p>
186
187</div>
188</div><p>
189<a class="anchor" name="b1dae6171ee39a6a05976c7b1007a3c5"></a><!-- doxytag: member="mlstudent::samplecond_m" ref="b1dae6171ee39a6a05976c7b1007a3c5" args="(const vec &amp;cond, vec &amp;ll, int N)" -->
190<div class="memitem">
191<div class="memproto">
192      <table class="memname">
193        <tr>
194          <td class="memname">virtual mat mpdf::samplecond_m           </td>
195          <td>(</td>
196          <td class="paramtype">const vec &amp;&nbsp;</td>
197          <td class="paramname"> <em>cond</em>, </td>
198        </tr>
199        <tr>
200          <td class="paramkey"></td>
201          <td></td>
202          <td class="paramtype">vec &amp;&nbsp;</td>
203          <td class="paramname"> <em>ll</em>, </td>
204        </tr>
205        <tr>
206          <td class="paramkey"></td>
207          <td></td>
208          <td class="paramtype">int&nbsp;</td>
209          <td class="paramname"> <em>N</em></td><td>&nbsp;</td>
210        </tr>
211        <tr>
212          <td></td>
213          <td>)</td>
214          <td></td><td></td><td><code> [inline, virtual, inherited]</code></td>
215        </tr>
216      </table>
217</div>
218<div class="memdoc">
219
220<p>
221Returns.
222<p>
223<dl compact><dt><b>Parameters:</b></dt><dd>
224  <table border="0" cellspacing="2" cellpadding="0">
225    <tr><td valign="top"></td><td valign="top"><em>N</em>&nbsp;</td><td>samples from the density conditioned on <code>cond</code>, <img class="formulaInl" alt="$x \sim epdf(rv|cond)$" src="form_10.png">. </td></tr>
226    <tr><td valign="top"></td><td valign="top"><em>cond</em>&nbsp;</td><td>is numeric value of <code>rv</code> </td></tr>
227    <tr><td valign="top"></td><td valign="top"><em>ll</em>&nbsp;</td><td>is a return value of log-likelihood of the sample. </td></tr>
228  </table>
229</dl>
230
231<p>References <a class="el" href="libBM_8h-source.html#l00239">mpdf::condition()</a>, <a class="el" href="libBM_8h-source.html#l00077">RV::count()</a>, <a class="el" href="libBM_8h-source.html#l00222">mpdf::ep</a>, <a class="el" href="classepdf.html#e1996af1da1fa1214270066a96ca113e">epdf::evallog()</a>, <a class="el" href="libBM_8h-source.html#l00218">mpdf::rv</a>, and <a class="el" href="classepdf.html#8019654e494bf5e458f6fb947e11b262">epdf::sample()</a>.</p>
232
233</div>
234</div><p>
235<hr>The documentation for this class was generated from the following file:<ul>
236<li>work/git/mixpp/bdm/stat/<a class="el" href="libEF_8h-source.html">libEF.h</a></ul>
237</div>
238<hr size="1"><address style="text-align: right;"><small>Generated on Thu Jan 15 10:51:24 2009 for mixpp by&nbsp;
239<a href="http://www.doxygen.org/index.html">
240<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
241</body>
242</html>
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