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<div class="title">LevenbergMarquardt< _FunctorType > Class Template Reference<div class="ingroups"><a class="el" href="group__NonLinearOptimization__Module.html">Non linear optimization module</a></div></div> </div>
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<div class="textblock"><h3>template<typename _FunctorType><br/>
class Eigen::LevenbergMarquardt< _FunctorType ></h3>
<p>Performs non linear optimization over a non-linear function, using a variant of the Levenberg Marquardt algorithm. </p>
<p>Check wikipedia for more information. <a href="http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm">http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm</a> </p>
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<p>Inherits no_assignment_operator.</p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a937987337a0875eee70a181a02cb9122"><td class="memItemLeft" align="right" valign="top">FVectorType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a937987337a0875eee70a181a02cb9122">diag</a> ()</td></tr>
<tr class="separator:a937987337a0875eee70a181a02cb9122"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a09f0a7a9fefa463f4415e386922b3b48"><td class="memItemLeft" align="right" valign="top">RealScalar </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a09f0a7a9fefa463f4415e386922b3b48">fnorm</a> ()</td></tr>
<tr class="separator:a09f0a7a9fefa463f4415e386922b3b48"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8407d07d45184a84310dfaa297ca9425"><td class="memItemLeft" align="right" valign="top">FVectorType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a8407d07d45184a84310dfaa297ca9425">fvec</a> ()</td></tr>
<tr class="separator:a8407d07d45184a84310dfaa297ca9425"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac4b9a92a37e8f656a9bc7f222d3f1d3b"><td class="memItemLeft" align="right" valign="top">RealScalar </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#ac4b9a92a37e8f656a9bc7f222d3f1d3b">gnorm</a> ()</td></tr>
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<tr class="memitem:a0c06d5c2034ebb329c54235369643ad2"><td class="memItemLeft" align="right" valign="top">ComputationInfo </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a0c06d5c2034ebb329c54235369643ad2">info</a> () const </td></tr>
<tr class="memdesc:a0c06d5c2034ebb329c54235369643ad2"><td class="mdescLeft"> </td><td class="mdescRight">Reports whether the minimization was successful. <a href="#a0c06d5c2034ebb329c54235369643ad2">More...</a><br/></td></tr>
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<tr class="memitem:af30ae57fc2b4e8bf3db78546c88b16fd"><td class="memItemLeft" align="right" valign="top">Index </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#af30ae57fc2b4e8bf3db78546c88b16fd">iterations</a> ()</td></tr>
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<tr class="memitem:a25db3205d4c857ff01b227fa9ba1e91f"><td class="memItemLeft" align="right" valign="top">JacobianType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a25db3205d4c857ff01b227fa9ba1e91f">jacobian</a> ()</td></tr>
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<tr class="memitem:aa6d934df3d16027df0d0100cca3841fe"><td class="memItemLeft" align="right" valign="top">RealScalar </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#aa6d934df3d16027df0d0100cca3841fe">lm_param</a> (void)</td></tr>
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<tr class="memitem:a021e06e5e35dcff2b1e523df44ecb90b"><td class="memItemLeft" align="right" valign="top">JacobianType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a021e06e5e35dcff2b1e523df44ecb90b">matrixR</a> ()</td></tr>
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<tr class="memitem:ad39de8ec664e09b12b528b4d8cdffc8c"><td class="memItemLeft" align="right" valign="top">Index </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#ad39de8ec664e09b12b528b4d8cdffc8c">nfev</a> ()</td></tr>
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<tr class="memitem:a4ec1e17c7206359b96335f2c0744a783"><td class="memItemLeft" align="right" valign="top">Index </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a4ec1e17c7206359b96335f2c0744a783">njev</a> ()</td></tr>
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<tr class="memitem:afb981cc5d4a68f39d4ffd8a681f4ed81"><td class="memItemLeft" align="right" valign="top">PermutationType </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#afb981cc5d4a68f39d4ffd8a681f4ed81">permutation</a> ()</td></tr>
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<tr class="memitem:af52cd5af951ff74e784deeadecf73552"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#af52cd5af951ff74e784deeadecf73552">resetParameters</a> ()</td></tr>
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<tr class="memitem:ab4d7ae29dba1488e74da64faaf9f7ea0"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#ab4d7ae29dba1488e74da64faaf9f7ea0">setEpsilon</a> (RealScalar epsfcn)</td></tr>
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<tr class="memitem:a0f79478b8d636b815751fe0ea8c56b58"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a0f79478b8d636b815751fe0ea8c56b58">setExternalScaling</a> (bool value)</td></tr>
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<tr class="memitem:a20fae6c5fa1f67f4bf3973547ba82735"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a20fae6c5fa1f67f4bf3973547ba82735">setFactor</a> (RealScalar factor)</td></tr>
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<tr class="memitem:a20efa2f5a684efaf2499ba5bdd51e792"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a20efa2f5a684efaf2499ba5bdd51e792">setFtol</a> (RealScalar ftol)</td></tr>
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<tr class="memitem:afe5c8e692208d989449d3b83807acfe7"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#afe5c8e692208d989449d3b83807acfe7">setGtol</a> (RealScalar gtol)</td></tr>
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<tr class="memitem:a17beb283813bbbc4b946d962c75dd1dd"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a17beb283813bbbc4b946d962c75dd1dd">setMaxfev</a> (Index maxfev)</td></tr>
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<tr class="memitem:a85ef3a396655cdaded53650971dda177"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a85ef3a396655cdaded53650971dda177">setXtol</a> (RealScalar xtol)</td></tr>
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<h2 class="groupheader">Member Function Documentation</h2>
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<dl class="section return"><dt>Returns</dt><dd>a reference to the diagonal of the jacobian </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>the norm of current vector function </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>a reference to the current vector function </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>the norm of the gradient of the error </dd></dl>
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<p>Reports whether the minimization was successful. </p>
<dl class="section return"><dt>Returns</dt><dd><code>Success</code> if the minimization was succesful, <code>NumericalIssue</code> if a numerical problem arises during the minimization process, for exemple during the QR factorization <code>NoConvergence</code> if the minimization did not converge after the maximum number of function evaluation allowed <code>InvalidInput</code> if the input matrix is invalid </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>the number of iterations performed </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>a reference to the matrix where the current Jacobian matrix is stored </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>the <a class="el" href="classEigen_1_1LevenbergMarquardt.html" title="Performs non linear optimization over a non-linear function, using a variant of the Levenberg Marquar...">LevenbergMarquardt</a> parameter </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>a reference to the triangular matrix R from the QR of the jacobian matrix. </dd></dl>
<dl class="section see"><dt>See Also</dt><dd><a class="el" href="classEigen_1_1LevenbergMarquardt.html#a25db3205d4c857ff01b227fa9ba1e91f">jacobian()</a> </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>the number of functions evaluation </dd></dl>
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<dl class="section return"><dt>Returns</dt><dd>the number of jacobian evaluation </dd></dl>
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<p>the permutation used in the QR factorization </p>
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<p>Sets the default parameters </p>
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<td class="memname">void setEpsilon </td>
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<p>Sets the error precision </p>
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<p>Use an external Scaling. If set to true, pass a nonzero diagonal to <a class="el" href="classEigen_1_1LevenbergMarquardt.html#a937987337a0875eee70a181a02cb9122">diag()</a> </p>
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<p>Sets the step bound for the diagonal shift </p>
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<td class="memname">void setFtol </td>
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<p>Sets the tolerance for the norm of the vector function </p>
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<p>Sets the tolerance for the norm of the gradient of the error vector </p>
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<td class="memname">void setMaxfev </td>
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<p>Sets the maximum number of function evaluation </p>
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<td class="memname">void setXtol </td>
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<p>Sets the tolerance for the norm of the solution vector </p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li><a class="el" href="LevenbergMarquardt_2LevenbergMarquardt_8h_source.html">LevenbergMarquardt/LevenbergMarquardt.h</a></li>
<li><a class="el" href="NonLinearOptimization_2LevenbergMarquardt_8h_source.html">NonLinearOptimization/LevenbergMarquardt.h</a></li>
<li><a class="el" href="LMonestep_8h_source.html">LMonestep.h</a></li>
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