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69<h1>bdmbase.h File Reference</h1>
70<p>Basic structures of probability calculus: random variables, probability densities, Bayes rule. 
71<a href="#_details">More...</a></p>
72<code>#include &lt;map&gt;</code><br/>
73<code>#include &quot;../itpp_ext.h&quot;</code><br/>
74<code>#include &quot;../bdmroot.h&quot;</code><br/>
75<code>#include &quot;../shared_ptr.h&quot;</code><br/>
76<code>#include &quot;<a class="el" href="user__info_8h_source.html">user_info.h</a>&quot;</code><br/>
77
78<p><a href="bdmbase_8h_source.html">Go to the source code of this file.</a></p>
79<table border="0" cellpadding="0" cellspacing="0">
80<tr><td colspan="2"><h2>Classes</h2></td></tr>
81<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1str.html">bdm::str</a></td></tr>
82<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Structure of <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a>, i.e. RVs expanded into a flat list of IDs, used for debugging.  <a href="classbdm_1_1str.html#_details">More...</a><br/></td></tr>
83<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1RV.html">bdm::RV</a></td></tr>
84<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing variables, most often random variables.  <a href="classbdm_1_1RV.html#_details">More...</a><br/></td></tr>
85<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1fnc.html">bdm::fnc</a></td></tr>
86<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_0.png"/> of variable <img class="formulaInl" alt="$x$" src="form_1.png"/> represented by <code>rv</code>.  <a href="classbdm_1_1fnc.html#_details">More...</a><br/></td></tr>
87<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html">bdm::epdf</a></td></tr>
88<tr><td class="mdescLeft">&nbsp;</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>
89<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mpdf.html">bdm::mpdf</a></td></tr>
90<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional probability density, e.g. modeling <img class="formulaInl" alt="$ f( x | y) $" src="form_2.png"/>, where <img class="formulaInl" alt="$ x $" src="form_3.png"/> is random variable, <code>rv</code>, and <img class="formulaInl" alt="$ y $" src="form_4.png"/> is conditioning variable, <code>rvc</code>.  <a href="classbdm_1_1mpdf.html#_details">More...</a><br/></td></tr>
91<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mpdf__internal.html">bdm::mpdf_internal&lt; EPDF &gt;</a></td></tr>
92<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mpdf with internal <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> that is modified by function <code>condition</code>.  <a href="classbdm_1_1mpdf__internal.html#_details">More...</a><br/></td></tr>
93<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink.html">bdm::datalink</a></td></tr>
94<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">DataLink is a connection between two data vectors Up and Down.  <a href="classbdm_1_1datalink.html#_details">More...</a><br/></td></tr>
95<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__part.html">bdm::datalink_part</a></td></tr>
96<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__buffered.html">bdm::datalink_buffered</a></td></tr>
97<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Datalink that buffers delayed values - do not forget to call <a class="el" href="classbdm_1_1datalink__buffered.html#af137706c55891ba8a8aecc52ea96865f" title="push current data to history">step()</a>.  <a href="classbdm_1_1datalink__buffered.html#_details">More...</a><br/></td></tr>
98<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__2to1__buffered.html">bdm::datalink_2to1_buffered</a></td></tr>
99<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">buffered <a class="el" href="classbdm_1_1datalink.html" title="DataLink is a connection between two data vectors Up and Down.">datalink</a> from 2 vectors to 1  <a href="classbdm_1_1datalink__2to1__buffered.html#_details">More...</a><br/></td></tr>
100<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2e.html">bdm::datalink_m2e</a></td></tr>
101<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Data link with a condition.  <a href="classbdm_1_1datalink__m2e.html#_details">More...</a><br/></td></tr>
102<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2m.html">bdm::datalink_m2m</a></td></tr>
103<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">DataLink is a connection between <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling , where  is random variable, rv, and...">mpdf</a> and its superordinate (Up) This class links.  <a href="classbdm_1_1datalink__m2m.html#_details">More...</a><br/></td></tr>
104<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1logger.html">bdm::logger</a></td></tr>
105<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class for storing results (and semi-results) of an experiment.  <a href="classbdm_1_1logger.html#_details">More...</a><br/></td></tr>
106<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mepdf.html">bdm::mepdf</a></td></tr>
107<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Unconditional <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling , where  is random variable, rv, and...">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 , where  is random variable, rv, and...">mpdf</a>.  <a href="classbdm_1_1mepdf.html#_details">More...</a><br/></td></tr>
108<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1DS.html">bdm::DS</a></td></tr>
109<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Abstract class for discrete-time sources of data.  <a href="classbdm_1_1DS.html#_details">More...</a><br/></td></tr>
110<tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html">bdm::BM</a></td></tr>
111<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities.  <a href="classbdm_1_1BM.html#_details">More...</a><br/></td></tr>
112<tr><td colspan="2"><h2>Typedefs</h2></td></tr>
113<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="adedf26a66a9ffdc836572917ff8fd4e3"></a><!-- doxytag: member="bdmbase.h::epdf_array" ref="adedf26a66a9ffdc836572917ff8fd4e3" args="" -->
114typedef Array&lt; shared_ptr&lt; epdf &gt; &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::epdf_array</b></td></tr>
115<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a333f56b89b43f84f0ecaf63855b105d3"></a><!-- doxytag: member="bdmbase.h::mpdf_array" ref="a333f56b89b43f84f0ecaf63855b105d3" args="" -->
116typedef Array&lt; shared_ptr&lt; mpdf &gt; &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::mpdf_array</b></td></tr>
117<tr><td colspan="2"><h2>Functions</h2></td></tr>
118<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a5a5785a480905a61870c3d56cc2c9846"></a><!-- doxytag: member="bdmbase.h::UIREGISTER" ref="a5a5785a480905a61870c3d56cc2c9846" args="(RV)" -->
119&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::UIREGISTER</b> (RV)</td></tr>
120<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a10373b2ec87e41b18ec0a8c305d31789"></a><!-- doxytag: member="bdmbase.h::SHAREDPTR" ref="a10373b2ec87e41b18ec0a8c305d31789" args="(RV)" -->
121&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::SHAREDPTR</b> (RV)</td></tr>
122<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ab9016687c0e874ca5cdcf75ae28811aa"></a><!-- doxytag: member="bdmbase.h::concat" ref="ab9016687c0e874ca5cdcf75ae28811aa" args="(const RV &amp;rv1, const RV &amp;rv2)" -->
123RV&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html#ab9016687c0e874ca5cdcf75ae28811aa">bdm::concat</a> (const RV &amp;rv1, const RV &amp;rv2)</td></tr>
124<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Concat two random variables. <br/></td></tr>
125<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a45117e20bd2a81a8012fc08c058ea1e0"></a><!-- doxytag: member="bdmbase.h::SHAREDPTR" ref="a45117e20bd2a81a8012fc08c058ea1e0" args="(epdf)" -->
126&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::SHAREDPTR</b> (epdf)</td></tr>
127<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="af1f29914bc835ac8db11569ffed9fdc8"></a><!-- doxytag: member="bdmbase.h::SHAREDPTR" ref="af1f29914bc835ac8db11569ffed9fdc8" args="(mpdf)" -->
128&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::SHAREDPTR</b> (mpdf)</td></tr>
129<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a314816a279d0b5d87d4065c7a715a943"></a><!-- doxytag: member="bdmbase.h::UIREGISTER" ref="a314816a279d0b5d87d4065c7a715a943" args="(mepdf)" -->
130&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::UIREGISTER</b> (mepdf)</td></tr>
131<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="aebfc44c2618694a05a0ac1c5c44e08d5"></a><!-- doxytag: member="bdmbase.h::SHAREDPTR" ref="aebfc44c2618694a05a0ac1c5c44e08d5" args="(mepdf)" -->
132&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::SHAREDPTR</b> (mepdf)</td></tr>
133<tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a285a66f3c6e33b29f5d983623cc3381f"></a><!-- doxytag: member="bdmbase.h::get_composite_rv" ref="a285a66f3c6e33b29f5d983623cc3381f" args="(const Array&lt; shared_ptr&lt; mpdf &gt; &gt; &amp;mpdfs, bool checkoverlap=false)" -->
134RV&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html#a285a66f3c6e33b29f5d983623cc3381f">bdm::get_composite_rv</a> (const Array&lt; shared_ptr&lt; mpdf &gt; &gt; &amp;mpdfs, bool checkoverlap=false)</td></tr>
135<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Combines RVs from a list of mpdfs to a single one. <br/></td></tr>
136</table>
137<hr/><a name="_details"></a><h2>Detailed Description</h2>
138<p>Basic structures of probability calculus: random variables, probability densities, Bayes rule. </p>
139<dl class="author"><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
140<p>----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty</p>
141<p>Using IT++ for numerical operations ----------------------------------- </p>
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