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| 21 | <h1>libBM.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. <a href="#_details">More...</a> | 
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| 22 | <p> | 
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| 23 | <code>#include "../itpp_ext.h"</code><br> | 
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| 24 |  | 
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| 25 | <p> | 
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| 26 | <div class="dynheader"> | 
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| 27 | Include dependency graph for libBM.h:</div> | 
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| 28 | <div class="dynsection"> | 
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| 29 | <p><center><img src="libBM_8h__incl.png" border="0" usemap="#libBM.h_map" alt=""></center> | 
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| 30 | <map name="libBM.h_map"> | 
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| 31 | <area shape="rect" href="itpp__ext_8h-source.html" title="../itpp_ext.h" alt="" coords="7,84,103,111"></map> | 
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| 32 | </div> | 
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| 33 |  | 
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| 34 | <p> | 
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| 35 | <div class="dynheader"> | 
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| 36 | This graph shows which files directly or indirectly include this file:</div> | 
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| 37 | <div class="dynsection"> | 
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| 38 | <p><center><img src="libBM_8h__dep__incl.png" border="0" usemap="#libBM.hdep_map" alt=""></center> | 
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| 39 | <map name="libBM.hdep_map"> | 
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| 40 | <area shape="rect" href="libFN_8h-source.html" title="libFN.h" alt="" coords="120,84,184,111"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="289,84,348,111"><area shape="rect" href="emix_8h.html" title="Probability distributions for Mixtures of pdfs." alt="" coords="372,161,436,188"><area shape="rect" href="libDS_8h.html" title="Common DataSources." alt="" coords="460,161,527,188"><area shape="rect" href="loggers_8h.html" title="Loggers for storing results of experiments." alt="" coords="483,84,563,111"><area shape="rect" href="uibuilder_8h-source.html" title="uibuilder.h" alt="" coords="587,84,672,111"><area shape="rect" href="arx_8h.html" title="Bayesian Filtering for generalized autoregressive (ARX) model." alt="" coords="28,161,81,188"><area shape="rect" href="libKF_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="156,161,215,188"><area shape="rect" href="mixef_8h.html" title="Bayesian Filtering for mixtures of exponential family (EF) members." alt="" coords="252,239,319,265"><area shape="rect" href="arx__test_8cpp.html" title="Test of basic elements of the ARX class." alt="" coords="5,239,104,265"><area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="132,239,228,265"><area shape="rect" href="merger_8h.html" title="Mergers for combination of pdfs." alt="" coords="245,316,325,343"><area shape="rect" href="libPF_8h.html" title="Bayesian Filtering using stochastic sampling (Particle Filters)." alt="" coords="289,161,348,188"><area shape="rect" href="loggers__ui_8h.html" title="UI builders for Loggers." alt="" coords="565,161,664,188"></map> | 
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| 41 | </div> | 
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| 42 |  | 
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| 43 | <p> | 
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| 44 | <a href="libBM_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> | 
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| 45 | <tr><td></td></tr> | 
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| 46 | <tr><td colspan="2"><br><h2>Namespaces</h2></td></tr> | 
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| 47 | <tr><td class="memItemLeft" nowrap align="right" valign="top">namespace  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html">bdm</a></td></tr> | 
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| 48 |  | 
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| 49 | <tr><td colspan="2"><br><h2>Classes</h2></td></tr> | 
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| 50 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1bdmroot.html">bdm::bdmroot</a></td></tr> | 
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| 51 |  | 
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| 52 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Root class of BDM objects.  <a href="classbdm_1_1bdmroot.html#_details">More...</a><br></td></tr> | 
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| 53 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1str.html">bdm::str</a></td></tr> | 
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| 54 |  | 
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| 55 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Structure of <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> (used internally), i.e. expanded RVs.  <a href="classbdm_1_1str.html#_details">More...</a><br></td></tr> | 
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| 56 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1RV.html">bdm::RV</a></td></tr> | 
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| 57 |  | 
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| 58 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Class representing variables, most often random variables.  <a href="classbdm_1_1RV.html#_details">More...</a><br></td></tr> | 
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| 59 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1fnc.html">bdm::fnc</a></td></tr> | 
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| 60 |  | 
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| 61 | <tr><td class="mdescLeft"> </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="classbdm_1_1fnc.html#_details">More...</a><br></td></tr> | 
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| 62 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html">bdm::epdf</a></td></tr> | 
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| 63 |  | 
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| 64 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Probability density function with numerical statistics, e.g. posterior density.  <a href="classbdm_1_1epdf.html#_details">More...</a><br></td></tr> | 
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| 65 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mpdf.html">bdm::mpdf</a></td></tr> | 
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| 66 |  | 
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| 67 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Conditional probability density, e.g. modeling some dependencies.  <a href="classbdm_1_1mpdf.html#_details">More...</a><br></td></tr> | 
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| 68 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__e2e.html">bdm::datalink_e2e</a></td></tr> | 
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| 69 |  | 
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| 70 | <tr><td class="mdescLeft"> </td><td class="mdescRight">DataLink is a connection between two data vectors Up and Down.  <a href="classbdm_1_1datalink__e2e.html#_details">More...</a><br></td></tr> | 
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| 71 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2e.html">bdm::datalink_m2e</a></td></tr> | 
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| 72 |  | 
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| 73 | <tr><td class="mdescLeft"> </td><td class="mdescRight">data link between  <a href="classbdm_1_1datalink__m2e.html#_details">More...</a><br></td></tr> | 
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| 74 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2m.html">bdm::datalink_m2m</a></td></tr> | 
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| 75 |  | 
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| 76 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mepdf.html">bdm::mepdf</a></td></tr> | 
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| 77 |  | 
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| 78 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Unconditional <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>.  <a href="classbdm_1_1mepdf.html#_details">More...</a><br></td></tr> | 
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| 79 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1compositepdf.html">bdm::compositepdf</a></td></tr> | 
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| 80 |  | 
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| 81 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Abstract composition of pdfs, will be used for specific classes this abstract class is common to <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> and <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>.  <a href="classbdm_1_1compositepdf.html#_details">More...</a><br></td></tr> | 
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| 82 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1DS.html">bdm::DS</a></td></tr> | 
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| 83 |  | 
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| 84 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Abstract class for discrete-time sources of data.  <a href="classbdm_1_1DS.html#_details">More...</a><br></td></tr> | 
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| 85 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html">bdm::BM</a></td></tr> | 
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| 86 |  | 
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| 87 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.  <a href="classbdm_1_1BM.html#_details">More...</a><br></td></tr> | 
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| 88 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BMcond.html">bdm::BMcond</a></td></tr> | 
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| 89 |  | 
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| 90 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Conditional Bayesian Filter.  <a href="classbdm_1_1BMcond.html#_details">More...</a><br></td></tr> | 
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| 91 | <tr><td colspan="2"><br><h2>Functions</h2></td></tr> | 
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| 92 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b9016687c0e874ca5cdcf75ae28811aa"></a><!-- doxytag: member="libBM.h::concat" ref="b9016687c0e874ca5cdcf75ae28811aa" args="(const RV &rv1, const RV &rv2)" --> | 
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| 93 | RV </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html#b9016687c0e874ca5cdcf75ae28811aa">bdm::concat</a> (const RV &rv1, const RV &rv2)</td></tr> | 
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| 94 |  | 
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| 95 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Concat two random variables. <br></td></tr> | 
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| 96 | </table> | 
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| 97 | <hr><a name="_details"></a><h2>Detailed Description</h2> | 
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| 98 | Bayesian Models (bm) that use Bayes rule to learn from observations. | 
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| 99 | <p> | 
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| 100 | <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> | 
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| 101 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> | 
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| 102 | Using IT++ for numerical operations ----------------------------------- </div> | 
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| 103 | <hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 6 15:29:46 2009 for mixpp by  | 
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| 104 | <a href="http://www.doxygen.org/index.html"> | 
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| 105 | <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address> | 
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| 106 | </body> | 
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| 107 | </html> | 
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