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<li class="navelem"><a class="el" href="namespace_quant_lib.html">QuantLib</a></li><li class="navelem"><a class="el" href="class_quant_lib_1_1_gauss_hyperbolic_integration.html">GaussHyperbolicIntegration</a></li> </ul>
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<a href="#pub-methods">Public Member Functions</a> |
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<div class="title">GaussHyperbolicIntegration Class Reference</div> </div>
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<p>Gauss-Hyperbolic integration.
<a href="class_quant_lib_1_1_gauss_hyperbolic_integration.html#details">More...</a></p>
<p><code>#include <ql/math/integrals/gaussianquadratures.hpp></code></p>
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<img id="dynsection-0-trigger" src="closed.png" alt="+"/> Inheritance diagram for GaussHyperbolicIntegration:</div>
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<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:a136a2b6b92136bea7ddaef3b3e440eb3"><td class="memItemLeft" align="right" valign="top"><a id="a136a2b6b92136bea7ddaef3b3e440eb3"></a>
 </td><td class="memItemRight" valign="bottom"><b>GaussHyperbolicIntegration</b> (<a class="el" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77">Size</a> n)</td></tr>
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<tr class="inherit_header pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_class_quant_lib_1_1_gaussian_quadrature')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="class_quant_lib_1_1_gaussian_quadrature.html">GaussianQuadrature</a></td></tr>
<tr class="memitem:a09a125b1d628dba5c56286a69c43b6fd inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memItemLeft" align="right" valign="top"><a id="a09a125b1d628dba5c56286a69c43b6fd"></a>
 </td><td class="memItemRight" valign="bottom"><b>GaussianQuadrature</b> (<a class="el" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77">Size</a> n, const <a class="el" href="class_quant_lib_1_1_gaussian_orthogonal_polynomial.html">GaussianOrthogonalPolynomial</a> &p)</td></tr>
<tr class="separator:a09a125b1d628dba5c56286a69c43b6fd inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aab30aef20b1772f470be15b87aaf5e12 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memTemplParams" colspan="2"><a id="aab30aef20b1772f470be15b87aaf5e12"></a>
template<class F > </td></tr>
<tr class="memitem:aab30aef20b1772f470be15b87aaf5e12 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78">Real</a> </td><td class="memTemplItemRight" valign="bottom"><b>operator()</b> (const F &f) const</td></tr>
<tr class="separator:aab30aef20b1772f470be15b87aaf5e12 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a65b77e7c95dfd0a50188ba3336db37f1 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memItemLeft" align="right" valign="top"><a id="a65b77e7c95dfd0a50188ba3336db37f1"></a>
<a class="el" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77">Size</a> </td><td class="memItemRight" valign="bottom"><b>order</b> () const</td></tr>
<tr class="separator:a65b77e7c95dfd0a50188ba3336db37f1 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a06b451105824df2649badde39fc7e7fc inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memItemLeft" align="right" valign="top"><a id="a06b451105824df2649badde39fc7e7fc"></a>
const <a class="el" href="class_quant_lib_1_1_array.html">Array</a> & </td><td class="memItemRight" valign="bottom"><b>weights</b> ()</td></tr>
<tr class="separator:a06b451105824df2649badde39fc7e7fc inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a7300ae12f41806f24442c35070669f10 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memItemLeft" align="right" valign="top"><a id="a7300ae12f41806f24442c35070669f10"></a>
const <a class="el" href="class_quant_lib_1_1_array.html">Array</a> & </td><td class="memItemRight" valign="bottom"><b>x</b> ()</td></tr>
<tr class="separator:a7300ae12f41806f24442c35070669f10 inherit pub_methods_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
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Additional Inherited Members</h2></td></tr>
<tr class="inherit_header pro_attribs_class_quant_lib_1_1_gaussian_quadrature"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_class_quant_lib_1_1_gaussian_quadrature')"><img src="closed.png" alt="-"/> Protected Attributes inherited from <a class="el" href="class_quant_lib_1_1_gaussian_quadrature.html">GaussianQuadrature</a></td></tr>
<tr class="memitem:aa17c3bd9fcf002dcb2dbfb5efc269c8c inherit pro_attribs_class_quant_lib_1_1_gaussian_quadrature"><td class="memItemLeft" align="right" valign="top"><a id="aa17c3bd9fcf002dcb2dbfb5efc269c8c"></a>
<a class="el" href="class_quant_lib_1_1_array.html">Array</a> </td><td class="memItemRight" valign="bottom"><b>x_</b></td></tr>
<tr class="separator:aa17c3bd9fcf002dcb2dbfb5efc269c8c inherit pro_attribs_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a26573986379a1661fd23fad2dde2a1de inherit pro_attribs_class_quant_lib_1_1_gaussian_quadrature"><td class="memItemLeft" align="right" valign="top"><a id="a26573986379a1661fd23fad2dde2a1de"></a>
<a class="el" href="class_quant_lib_1_1_array.html">Array</a> </td><td class="memItemRight" valign="bottom"><b>w_</b></td></tr>
<tr class="separator:a26573986379a1661fd23fad2dde2a1de inherit pro_attribs_class_quant_lib_1_1_gaussian_quadrature"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Gauss-Hyperbolic integration. </p>
<p>This class performs a 1-dimensional Gauss-Hyperbolic integration. </p><p class="formulaDsp">
\[ \int_{-\inf}^{\inf} f(x) \mathrm{d}x \]
</p>
<p> The weighting function is </p><p class="formulaDsp">
\[ w(x)=1/cosh(x) \]
</p>
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