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<div class="title">transform_gaussian.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="_c_matrix_fixed_numeric_8h_source.html">mrpt/math/CMatrixFixedNumeric.h</a>></code><br/>
<code>#include <<a class="el" href="ops__matrices_8h_source.html">mrpt/math/ops_matrices.h</a>></code><br/>
<code>#include <<a class="el" href="jacobians_8h_source.html">mrpt/math/jacobians.h</a>></code><br/>
<code>#include <<a class="el" href="random_8h_source.html">mrpt/random.h</a>></code><br/>
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Include dependency graph for transform_gaussian.h:</div>
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<p><a href="transform__gaussian_8h_source.html">Go to the source code of this file.</a></p>
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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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Functions</h2></td></tr>
<tr><td class="memTemplParams" colspan="2">template<class VECTORLIKE1 , class MATLIKE1 , class USERPARAM , class VECTORLIKE2 , class VECTORLIKE3 , class MATLIKE2 > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__gausspdf__transform__grp.html#gaabbaca6808e3d9be3fd37f82f98049f0">mrpt::math::transform_gaussian_unscented</a> (const VECTORLIKE1 &x_mean, const MATLIKE1 &x_cov, void(*functor)(const VECTORLIKE1 &x, const USERPARAM &fixed_param, VECTORLIKE3 &y), const USERPARAM &fixed_param, VECTORLIKE2 &y_mean, MATLIKE2 &y_cov, const bool *elem_do_wrap2pi=NULL, const double alpha=1e-3, const double K=0, const double beta=2.0)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Scaled unscented transformation (SUT) for estimating the Gaussian distribution of a variable Y=f(X) for an arbitrary function f() provided by the user. <a href="group__gausspdf__transform__grp.html#gaabbaca6808e3d9be3fd37f82f98049f0"></a><br/></td></tr>
<tr><td class="memTemplParams" colspan="2">template<class VECTORLIKE1 , class MATLIKE1 , class USERPARAM , class VECTORLIKE2 , class VECTORLIKE3 , class MATLIKE2 > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__gausspdf__transform__grp.html#ga690d0b41f293578fcfd067e9177fc863">mrpt::math::transform_gaussian_montecarlo</a> (const VECTORLIKE1 &x_mean, const MATLIKE1 &x_cov, void(*functor)(const VECTORLIKE1 &x, const USERPARAM &fixed_param, VECTORLIKE3 &y), const USERPARAM &fixed_param, VECTORLIKE2 &y_mean, MATLIKE2 &y_cov, const size_t num_samples=1000, typename <a class="el" href="structmrpt_1_1aligned__containers.html">mrpt::aligned_containers</a>< VECTORLIKE3 >::vector_t *out_samples_y=NULL)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Simple Montecarlo-base estimation of the Gaussian distribution of a variable Y=f(X) for an arbitrary function f() provided by the user. <a href="group__gausspdf__transform__grp.html#ga690d0b41f293578fcfd067e9177fc863"></a><br/></td></tr>
<tr><td class="memTemplParams" colspan="2">template<class VECTORLIKE1 , class MATLIKE1 , class USERPARAM , class VECTORLIKE2 , class VECTORLIKE3 , class MATLIKE2 > </td></tr>
<tr><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__gausspdf__transform__grp.html#gac9caace672d90279c312d43877d8480b">mrpt::math::transform_gaussian_linear</a> (const VECTORLIKE1 &x_mean, const MATLIKE1 &x_cov, void(*functor)(const VECTORLIKE1 &x, const USERPARAM &fixed_param, VECTORLIKE3 &y), const USERPARAM &fixed_param, VECTORLIKE2 &y_mean, MATLIKE2 &y_cov, const VECTORLIKE1 &x_increments)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">First order uncertainty propagation estimator of the Gaussian distribution of a variable Y=f(X) for an arbitrary function f() provided by the user. <a href="group__gausspdf__transform__grp.html#gac9caace672d90279c312d43877d8480b"></a><br/></td></tr>
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