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<div class="title">distributions.h File Reference</div> </div>
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<div class="textblock"><code>#include <<a class="el" href="utils__defs_8h_source.html">mrpt/utils/utils_defs.h</a>></code><br/>
<code>#include <<a class="el" href="math__frwds_8h_source.html">mrpt/math/math_frwds.h</a>></code><br/>
<code>#include <<a class="el" href="_c_matrix_template_numeric_8h_source.html">mrpt/math/CMatrixTemplateNumeric.h</a>></code><br/>
<code>#include <<a class="el" href="ops__matrices_8h_source.html">mrpt/math/ops_matrices.h</a>></code><br/>
</div><div class="textblock"><div class="dynheader">
Include dependency graph for distributions.h:</div>
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<div class="center"><img src="distributions_8h__incl.png" border="0" usemap="#distributions_8h" alt=""/></div>
<map name="distributions_8h" id="distributions_8h">
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This graph shows which files directly or indirectly include this file:</div>
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<p><a href="distributions_8h_source.html">Go to the source code of this file.</a></p>
<table class="memberdecls">
<tr><td colspan="2"><h2><a name="namespaces"></a>
Namespaces</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">namespace  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt.html">mrpt</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries. </p>
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<tr><td class="memItemLeft" align="right" valign="top">namespace  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1math.html">mrpt::math</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This base provides a set of functions for maths stuff. </p>
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<tr><td class="memItemLeft" align="right" valign="top">namespace  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1math_1_1detail.html">mrpt::math::detail</a></td></tr>
<tr><td colspan="2"><h2><a name="func-members"></a>
Functions</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga2ec8bf7897f7b8b0fee1ca9ae46443bb">mrpt::math::normalPDF</a> (double x, double mu, double std)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the univariate normal (Gaussian) distribution at a given point "x". <a href="group__stats__grp.html#ga2ec8bf7897f7b8b0fee1ca9ae46443bb"></a><br/></td></tr>
<tr><td class="memTemplParams" colspan="2">template<class VECTORLIKE1 , class VECTORLIKE2 , class MATRIXLIKE > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="eigen__plugins_8h.html#afd07186978da46f9908364e389f8a403">MATRIXLIKE::value_type</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#gadeb42799aea7897137bfb75ea7de4ebf">mrpt::math::normalPDF</a> (const VECTORLIKE1 &x, const VECTORLIKE2 &mu, const MATRIXLIKE &cov, const bool scaled_pdf=false)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the multivariate normal (Gaussian) distribution at a given point "x". <a href="group__stats__grp.html#gadeb42799aea7897137bfb75ea7de4ebf"></a><br/></td></tr>
<tr><td class="memTemplParams" colspan="2">template<typename VECTORLIKE , typename MATRIXLIKE > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="eigen__plugins_8h.html#afd07186978da46f9908364e389f8a403">MATRIXLIKE::value_type</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#gac921a40dc9d7a5d14fb8333300111e86">mrpt::math::normalPDF</a> (const VECTORLIKE &d, const MATRIXLIKE &cov)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the multivariate normal (Gaussian) distribution at a given point given its distance vector "d" from the Gaussian mean. <a href="group__stats__grp.html#gac921a40dc9d7a5d14fb8333300111e86"></a><br/></td></tr>
<tr><td class="memTemplParams" colspan="2">template<typename VECTORLIKE1 , typename MATRIXLIKE1 , typename VECTORLIKE2 , typename MATRIXLIKE2 > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">double </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga9ddb4b383120316162071a6c125537ef">mrpt::math::KLD_Gaussians</a> (const VECTORLIKE1 &mu0, const MATRIXLIKE1 &cov0, const VECTORLIKE2 &mu1, const MATRIXLIKE2 &cov1)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Kullback-Leibler divergence (KLD) between two independent multivariate Gaussians. <a href="group__stats__grp.html#ga9ddb4b383120316162071a6c125537ef"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga700b695a783f89132853f9a3cbf37abf">mrpt::math::erfc</a> (double x)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">The complementary error function of a Normal distribution. <a href="group__stats__grp.html#ga700b695a783f89132853f9a3cbf37abf"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga31b77faefe845a607e6661c2a24e7e5f">mrpt::math::erf</a> (double x)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">The error function of a Normal distribution. <a href="group__stats__grp.html#ga31b77faefe845a607e6661c2a24e7e5f"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#gae1e6f25a0c6a318d6edd2bc9ef124bed">mrpt::math::normalQuantile</a> (double p)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the Gaussian distribution quantile for the probability value p=[0,1]. <a href="group__stats__grp.html#gae1e6f25a0c6a318d6edd2bc9ef124bed"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga09f5b985d95b570e05c2b9cef91865b0">mrpt::math::normalCDF</a> (double p)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the Gaussian cumulative density function. <a href="group__stats__grp.html#ga09f5b985d95b570e05c2b9cef91865b0"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga68b8a2208349a297c19f3a45c24457b1">mrpt::math::chi2inv</a> (double P, unsigned int dim=1)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">The "quantile" of the Chi-Square distribution, for dimension "dim" and probability 0<P<1 (the inverse of chi2CDF) An aproximation from the Wilson-Hilferty transformation is used. <a href="group__stats__grp.html#ga68b8a2208349a297c19f3a45c24457b1"></a><br/></td></tr>
<tr><td class="memTemplParams" colspan="2">template<class T > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">double </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga3bff4b9c33b2b9b2982ce7358cd16039">mrpt::math::noncentralChi2CDF</a> (unsigned int degreesOfFreedom, T noncentrality, T arg)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#gadaf15d0ae96eb360f18107703ff8ffc9">mrpt::math::chi2CDF</a> (unsigned int degreesOfFreedom, double arg)</td></tr>
<tr><td class="memTemplParams" colspan="2">template<class T > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1math_1_1detail.html#ab0c42732251b23eb7f2c40be3064f830">mrpt::math::detail::noncentralChi2OneIteration</a> (T arg, T &lans, T &dans, T &pans, unsigned int &j)</td></tr>
<tr><td class="memTemplParams" colspan="2">template<class T > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">std::pair< double, double > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1math_1_1detail.html#a65738e21624fe5ef6f4b645c4dfed0d4">mrpt::math::detail::noncentralChi2CDF_exact</a> (unsigned int degreesOfFreedom, T noncentrality, T arg, T eps)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga031b06489a1ba993cc1200e4da42dfac">mrpt::math::chi2PDF</a> (unsigned int degreesOfFreedom, double arg, double accuracy=1e-7)</td></tr>
<tr><td class="memTemplParams" colspan="2">template<typename CONTAINER > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__stats__grp.html#ga11d16d8fc45991a4676b7200ec69465a">mrpt::math::condidenceIntervals</a> (const CONTAINER &data, typename <a class="el" href="eigen__plugins_8h.html#afd07186978da46f9908364e389f8a403">CONTAINER::value_type</a> &out_mean, typename <a class="el" href="eigen__plugins_8h.html#afd07186978da46f9908364e389f8a403">CONTAINER::value_type</a> &out_lower_conf_interval, typename <a class="el" href="eigen__plugins_8h.html#afd07186978da46f9908364e389f8a403">CONTAINER::value_type</a> &out_upper_conf_interval, const double confidenceInterval=0.1, const size_t histogramNumBins=1000)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Return the mean and the 10%-90% confidence points (or with any other confidence value) of a set of samples by building the cummulative CDF of all the elements of the container. <a href="group__stats__grp.html#ga11d16d8fc45991a4676b7200ec69465a"></a><br/></td></tr>
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<br><hr><br> <table border="0" width="100%"> <tr> <td> Page generated by <a href="http://www.doxygen.org" target="_blank">Doxygen 1.7.5</a> for MRPT 0.9.5 SVN: at Sun Sep 25 17:20:18 UTC 2011</td><td></td> <td width="100"> </td> <td width="150"> </td></tr> </table> </body></html>
