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<div class="title">NumericalDiff< _Functor, mode > Class Template Reference</div> </div>
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<div class="textblock"><h3>template<typename _Functor, NumericalDiffMode mode = Forward><br/>
class Eigen::NumericalDiff< _Functor, mode ></h3>
<p>This class allows you to add a method <a class="el" href="classEigen_1_1NumericalDiff.html#ac3679efec954f93be463dcdca49283bf">df()</a> to your functor, which will use numerical differentiation to compute an approximate of the derivative for the functor. Of course, if you have an analytical form for the derivative, you should rather implement <a class="el" href="classEigen_1_1NumericalDiff.html#ac3679efec954f93be463dcdca49283bf">df()</a> by yourself.</p>
<p>More information on <a href="http://en.wikipedia.org/wiki/Numerical_differentiation">http://en.wikipedia.org/wiki/Numerical_differentiation</a></p>
<p>Currently only "Forward" and "Central" scheme are implemented. </p>
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<p>Inherits _Functor.</p>
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<tr class="memitem:ac3679efec954f93be463dcdca49283bf"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1NumericalDiff.html#ac3679efec954f93be463dcdca49283bf">df</a> (const InputType &_x, JacobianType &jac) const </td></tr>
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<h2 class="groupheader">Member Function Documentation</h2>
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<td class="memname">int df </td>
<td>(</td>
<td class="paramtype">const InputType & </td>
<td class="paramname"><em>_x</em>, </td>
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<td class="paramtype">JacobianType & </td>
<td class="paramname"><em>jac</em> </td>
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<td>)</td>
<td></td><td> const</td>
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<p>return the number of evaluation of functor </p>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="NumericalDiff_8h_source.html">NumericalDiff.h</a></li>
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