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<div class="header">
  <div class="summary">
<a href="classEigen_1_1RealQZ-members.html">List of all members</a> &#124;
<a href="#pub-methods">Public Member Functions</a>  </div>
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<div class="title">RealQZ&lt; _MatrixType &gt; Class Template Reference<div class="ingroups"><a class="el" href="group__Eigenvalues__Module.html">Eigenvalues module</a></div></div>  </div>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename _MatrixType&gt;<br/>
class Eigen::RealQZ&lt; _MatrixType &gt;</h3>

<p>Performs a real QZ decomposition of a pair of square matrices. </p>
<p>This is defined in the Eigenvalues module.</p>
<div class="fragment"><div class="line"><span class="preprocessor">#include &lt;Eigen/Eigenvalues&gt;</span> </div>
</div><!-- fragment --><dl class="tparams"><dt>Template Parameters</dt><dd>
  <table class="tparams">
    <tr><td class="paramname">_MatrixType</td><td>the type of the matrix of which we are computing the real QZ decomposition; this is expected to be an instantiation of the <a class="el" href="classEigen_1_1Matrix.html" title="The matrix class, also used for vectors and row-vectors. ">Matrix</a> class template.</td></tr>
  </table>
  </dd>
</dl>
<p>Given a real square matrices A and B, this class computes the real QZ decomposition: <img class="formulaInl" alt="$ A = Q S Z $" src="form_89.png"/>, <img class="formulaInl" alt="$ B = Q T Z $" src="form_90.png"/> where Q and Z are real orthogonal matrixes, T is upper-triangular matrix, and S is upper quasi-triangular matrix. An orthogonal matrix is a matrix whose inverse is equal to its transpose, <img class="formulaInl" alt="$ U^{-1} = U^T $" src="form_91.png"/>. A quasi-triangular matrix is a block-triangular matrix whose diagonal consists of 1-by-1 blocks and 2-by-2 blocks where further reduction is impossible due to complex eigenvalues.</p>
<p>The eigenvalues of the pencil <img class="formulaInl" alt="$ A - z B $" src="form_92.png"/> can be obtained from 1x1 and 2x2 blocks on the diagonals of S and T.</p>
<p>Call the function <a class="el" href="classEigen_1_1RealQZ.html#a75cc509be2fa23cde7371b79ebd9f770" title="Computes QZ decomposition of given matrix. ">compute()</a> to compute the real QZ decomposition of a given pair of matrices. Alternatively, you can use the <a class="el" href="classEigen_1_1RealQZ.html#ab81ec305afdcbf94ed288d382710e8d7" title="Constructor; computes real QZ decomposition of given matrices. ">RealQZ(const MatrixType&amp; B, const MatrixType&amp; B, bool computeQZ)</a> constructor which computes the real QZ decomposition at construction time. Once the decomposition is computed, you can use the <a class="el" href="classEigen_1_1RealQZ.html#af0356bea58e012ff54177cea8a340f64" title="Returns matrix S in the QZ decomposition. ">matrixS()</a>, <a class="el" href="classEigen_1_1RealQZ.html#a0d31900234ef9fea5751ce8ea693d71f" title="Returns matrix S in the QZ decomposition. ">matrixT()</a>, <a class="el" href="classEigen_1_1RealQZ.html#a498541357c143f345f0af5d6a6b9b3c3" title="Returns matrix Q in the QZ decomposition. ">matrixQ()</a> and <a class="el" href="classEigen_1_1RealQZ.html#a0f5765f1177b790b663281635e15e73f" title="Returns matrix Z in the QZ decomposition. ">matrixZ()</a> functions to retrieve the matrices S, T, Q and Z in the decomposition. If computeQZ==false, some time is saved by not computing matrices Q and Z.</p>
<p>Example: </p>
<div class="fragment"><div class="line"><a class="code" href="group__matrixtypedefs.html#gabab09c32e96cfa9829a88400627af162">MatrixXf</a> A = <a class="code" href="classEigen_1_1DenseBase.html#a8e759dafdd9ecc446d397b7f5435f60a">MatrixXf::Random</a>(4,4);</div>
<div class="line"><a class="code" href="group__matrixtypedefs.html#gabab09c32e96cfa9829a88400627af162">MatrixXf</a> B = <a class="code" href="classEigen_1_1DenseBase.html#a8e759dafdd9ecc446d397b7f5435f60a">MatrixXf::Random</a>(4,4);</div>
<div class="line">RealQZ&lt;MatrixXf&gt; qz(4); <span class="comment">// preallocate space for 4x4 matrices</span></div>
<div class="line">qz.compute(A,B);  <span class="comment">// A = Q S Z,  B = Q T Z</span></div>
<div class="line"></div>
<div class="line"><span class="comment">// print original matrices and result of decomposition</span></div>
<div class="line">cout &lt;&lt; <span class="stringliteral">&quot;A:\n&quot;</span> &lt;&lt; A &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span> &lt;&lt; <span class="stringliteral">&quot;B:\n&quot;</span> &lt;&lt; B &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line">cout &lt;&lt; <span class="stringliteral">&quot;S:\n&quot;</span> &lt;&lt; qz.matrixS() &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span> &lt;&lt; <span class="stringliteral">&quot;T:\n&quot;</span> &lt;&lt; qz.matrixT() &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line">cout &lt;&lt; <span class="stringliteral">&quot;Q:\n&quot;</span> &lt;&lt; qz.matrixQ() &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span> &lt;&lt; <span class="stringliteral">&quot;Z:\n&quot;</span> &lt;&lt; qz.matrixZ() &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"></div>
<div class="line"><span class="comment">// verify precision</span></div>
<div class="line">cout &lt;&lt; <span class="stringliteral">&quot;\nErrors:&quot;</span></div>
<div class="line">  &lt;&lt; <span class="stringliteral">&quot;\n|A-QSZ|: &quot;</span> &lt;&lt; (A-qz.matrixQ()*qz.matrixS()*qz.matrixZ()).norm()</div>
<div class="line">  &lt;&lt; <span class="stringliteral">&quot;, |B-QTZ|: &quot;</span> &lt;&lt; (B-qz.matrixQ()*qz.matrixT()*qz.matrixZ()).norm()</div>
<div class="line">  &lt;&lt; <span class="stringliteral">&quot;\n|QQ* - I|: &quot;</span> &lt;&lt; (qz.matrixQ()*qz.matrixQ().adjoint() - <a class="code" href="classEigen_1_1MatrixBase.html#a0650b65c6ae6c3d19a138b72a6d68568">MatrixXf::Identity</a>(4,4)).norm()</div>
<div class="line">  &lt;&lt; <span class="stringliteral">&quot;, |ZZ* - I|: &quot;</span> &lt;&lt; (qz.matrixZ()*qz.matrixZ().adjoint() - <a class="code" href="classEigen_1_1MatrixBase.html#a0650b65c6ae6c3d19a138b72a6d68568">MatrixXf::Identity</a>(4,4)).norm()</div>
<div class="line">  &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
</div><!-- fragment --><p> Output: </p>
<div class="fragment"><div class="line">A:</div>
<div class="line">   0.68   0.823  -0.444   -0.27</div>
<div class="line"> -0.211  -0.605   0.108  0.0268</div>
<div class="line">  0.566   -0.33 -0.0452   0.904</div>
<div class="line">  0.597   0.536   0.258   0.832</div>
<div class="line">B:</div>
<div class="line"> 0.271 -0.967 -0.687  0.998</div>
<div class="line"> 0.435 -0.514 -0.198 -0.563</div>
<div class="line">-0.717 -0.726  -0.74 0.0259</div>
<div class="line"> 0.214  0.608 -0.782  0.678</div>
<div class="line">S:</div>
<div class="line"> 0.927 -0.928  0.643 -0.227</div>
<div class="line">-0.594   0.36  0.146 -0.606</div>
<div class="line">     0      0 -0.398 -0.164</div>
<div class="line">     0      0      0  -1.12</div>
<div class="line">T:</div>
<div class="line">  1.51  0.278 -0.238  0.501</div>
<div class="line">     0  -1.04  0.519 -0.239</div>
<div class="line">     0      0  -1.25  0.438</div>
<div class="line">     0      0      0  0.746</div>
<div class="line">Q:</div>
<div class="line"> 0.603  0.011  0.552  0.576</div>
<div class="line">-0.142  0.243  0.761 -0.585</div>
<div class="line"> 0.092 -0.958  0.152 -0.223</div>
<div class="line">  0.78  0.149 -0.306 -0.526</div>
<div class="line">Z:</div>
<div class="line"> 0.284   0.26 -0.696  0.606</div>
<div class="line">-0.918 -0.108  -0.38 0.0406</div>
<div class="line">-0.269  0.783  0.462   0.32</div>
<div class="line">-0.0674 -0.555  0.398  0.727</div>
<div class="line"></div>
<div class="line">Errors:</div>
<div class="line">|A-QSZ|: 1.13e-06, |B-QTZ|: 1.81e-06</div>
<div class="line">|QQ* - I|: 1.01e-06, |ZZ* - I|: 7.02e-07</div>
</div><!-- fragment --><dl class="section note"><dt>Note</dt><dd>The implementation is based on the algorithm in "Matrix Computations" by Gene H. Golub and Charles F. Van Loan, and a paper "An algorithm for
generalized eigenvalue problems" by C.B.Moler and G.W.Stewart.</dd></dl>
<dl class="section see"><dt>See Also</dt><dd>class <a class="el" href="classEigen_1_1RealSchur.html" title="Performs a real Schur decomposition of a square matrix. ">RealSchur</a>, class <a class="el" href="classEigen_1_1ComplexSchur.html" title="Performs a complex Schur decomposition of a real or complex square matrix. ">ComplexSchur</a>, class <a class="el" href="classEigen_1_1EigenSolver.html" title="Computes eigenvalues and eigenvectors of general matrices. ">EigenSolver</a>, class <a class="el" href="classEigen_1_1ComplexEigenSolver.html" title="Computes eigenvalues and eigenvectors of general complex matrices. ">ComplexEigenSolver</a> </dd></dl>
</div><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:a75cc509be2fa23cde7371b79ebd9f770"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classEigen_1_1RealQZ.html">RealQZ</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a75cc509be2fa23cde7371b79ebd9f770">compute</a> (const MatrixType &amp;A, const MatrixType &amp;B, bool computeQZ=true)</td></tr>
<tr class="memdesc:a75cc509be2fa23cde7371b79ebd9f770"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes QZ decomposition of given matrix.  <a href="#a75cc509be2fa23cde7371b79ebd9f770">More...</a><br/></td></tr>
<tr class="separator:a75cc509be2fa23cde7371b79ebd9f770"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0c06d5c2034ebb329c54235369643ad2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="group__enums.html#ga51bc1ac16f26ebe51eae1abb77bd037b">ComputationInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a0c06d5c2034ebb329c54235369643ad2">info</a> () const </td></tr>
<tr class="memdesc:a0c06d5c2034ebb329c54235369643ad2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reports whether previous computation was successful.  <a href="#a0c06d5c2034ebb329c54235369643ad2">More...</a><br/></td></tr>
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<tr class="memitem:ae231768dac8df88971dc1871f6493571"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ae231768dac8df88971dc1871f6493571"></a>
Index&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#ae231768dac8df88971dc1871f6493571">iterations</a> () const </td></tr>
<tr class="memdesc:ae231768dac8df88971dc1871f6493571"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns number of performed QR-like iterations. <br/></td></tr>
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<tr class="memitem:a498541357c143f345f0af5d6a6b9b3c3"><td class="memItemLeft" align="right" valign="top">const MatrixType &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a498541357c143f345f0af5d6a6b9b3c3">matrixQ</a> () const </td></tr>
<tr class="memdesc:a498541357c143f345f0af5d6a6b9b3c3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns matrix Q in the QZ decomposition.  <a href="#a498541357c143f345f0af5d6a6b9b3c3">More...</a><br/></td></tr>
<tr class="separator:a498541357c143f345f0af5d6a6b9b3c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af0356bea58e012ff54177cea8a340f64"><td class="memItemLeft" align="right" valign="top">const MatrixType &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#af0356bea58e012ff54177cea8a340f64">matrixS</a> () const </td></tr>
<tr class="memdesc:af0356bea58e012ff54177cea8a340f64"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns matrix S in the QZ decomposition.  <a href="#af0356bea58e012ff54177cea8a340f64">More...</a><br/></td></tr>
<tr class="separator:af0356bea58e012ff54177cea8a340f64"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0d31900234ef9fea5751ce8ea693d71f"><td class="memItemLeft" align="right" valign="top">const MatrixType &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a0d31900234ef9fea5751ce8ea693d71f">matrixT</a> () const </td></tr>
<tr class="memdesc:a0d31900234ef9fea5751ce8ea693d71f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns matrix S in the QZ decomposition.  <a href="#a0d31900234ef9fea5751ce8ea693d71f">More...</a><br/></td></tr>
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<tr class="memitem:a0f5765f1177b790b663281635e15e73f"><td class="memItemLeft" align="right" valign="top">const MatrixType &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a0f5765f1177b790b663281635e15e73f">matrixZ</a> () const </td></tr>
<tr class="memdesc:a0f5765f1177b790b663281635e15e73f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns matrix Z in the QZ decomposition.  <a href="#a0f5765f1177b790b663281635e15e73f">More...</a><br/></td></tr>
<tr class="separator:a0f5765f1177b790b663281635e15e73f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4b2119ce39103693d003d8e434f00a3a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a4b2119ce39103693d003d8e434f00a3a">RealQZ</a> (Index size=RowsAtCompileTime==<a class="el" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>?1:RowsAtCompileTime)</td></tr>
<tr class="memdesc:a4b2119ce39103693d003d8e434f00a3a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a4b2119ce39103693d003d8e434f00a3a">More...</a><br/></td></tr>
<tr class="separator:a4b2119ce39103693d003d8e434f00a3a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab81ec305afdcbf94ed288d382710e8d7"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#ab81ec305afdcbf94ed288d382710e8d7">RealQZ</a> (const MatrixType &amp;A, const MatrixType &amp;B, bool computeQZ=true)</td></tr>
<tr class="memdesc:ab81ec305afdcbf94ed288d382710e8d7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor; computes real QZ decomposition of given matrices.  <a href="#ab81ec305afdcbf94ed288d382710e8d7">More...</a><br/></td></tr>
<tr class="separator:ab81ec305afdcbf94ed288d382710e8d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1b369841b0e39a1ac80a6c32b721d242"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classEigen_1_1RealQZ.html">RealQZ</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1RealQZ.html#a1b369841b0e39a1ac80a6c32b721d242">setMaxIterations</a> (Index maxIters)</td></tr>
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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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          <td>(</td>
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<p>Default constructor. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<p>The default constructor is useful in cases in which the user intends to perform decompositions via <a class="el" href="classEigen_1_1RealQZ.html#a75cc509be2fa23cde7371b79ebd9f770" title="Computes QZ decomposition of given matrix. ">compute()</a>. The <code>size</code> parameter is only used as a hint. It is not an error to give a wrong <code>size</code>, but it may impair performance.</p>
<dl class="section see"><dt>See Also</dt><dd><a class="el" href="classEigen_1_1RealQZ.html#a75cc509be2fa23cde7371b79ebd9f770" title="Computes QZ decomposition of given matrix. ">compute()</a> for an example. </dd></dl>

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<p>Constructor; computes real QZ decomposition of given matrices. </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">A</td><td><a class="el" href="classEigen_1_1Matrix.html" title="The matrix class, also used for vectors and row-vectors. ">Matrix</a> A. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">B</td><td><a class="el" href="classEigen_1_1Matrix.html" title="The matrix class, also used for vectors and row-vectors. ">Matrix</a> B. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">computeQZ</td><td>If false, A and Z are not computed.</td></tr>
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<p>This constructor calls <a class="el" href="classEigen_1_1RealQZ.html#a75cc509be2fa23cde7371b79ebd9f770" title="Computes QZ decomposition of given matrix. ">compute()</a> to compute the QZ decomposition. </p>

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<h2 class="groupheader">Member Function Documentation</h2>
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<p>Computes QZ decomposition of given matrix. </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">A</td><td><a class="el" href="classEigen_1_1Matrix.html" title="The matrix class, also used for vectors and row-vectors. ">Matrix</a> A. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">B</td><td><a class="el" href="classEigen_1_1Matrix.html" title="The matrix class, also used for vectors and row-vectors. ">Matrix</a> B. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">computeQZ</td><td>If false, A and Z are not computed. </td></tr>
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<dl class="section return"><dt>Returns</dt><dd>Reference to <code>*this</code> </dd></dl>

<p>References <a class="el" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037ba4ff235bd185f3c5fceeec8d6540eb847">Eigen::NoConvergence</a>, and <a class="el" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c">Eigen::Success</a>.</p>

<p>Referenced by <a class="el" href="classEigen_1_1RealQZ.html#ab81ec305afdcbf94ed288d382710e8d7">RealQZ&lt; MatrixType &gt;::RealQZ()</a>.</p>

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<p>Reports whether previous computation was successful. </p>
<dl class="section return"><dt>Returns</dt><dd><code>Success</code> if computation was succesful, <code>NoConvergence</code> otherwise. </dd></dl>

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<p>Returns matrix Q in the QZ decomposition. </p>
<dl class="section return"><dt>Returns</dt><dd>A const reference to the matrix Q. </dd></dl>

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<p>Returns matrix S in the QZ decomposition. </p>
<dl class="section return"><dt>Returns</dt><dd>A const reference to the matrix S. </dd></dl>

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<p>Returns matrix S in the QZ decomposition. </p>
<dl class="section return"><dt>Returns</dt><dd>A const reference to the matrix S. </dd></dl>

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<p>Returns matrix Z in the QZ decomposition. </p>
<dl class="section return"><dt>Returns</dt><dd>A const reference to the matrix Z. </dd></dl>

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          <td class="memname"><a class="el" href="classEigen_1_1RealQZ.html">RealQZ</a>&amp; setMaxIterations </td>
          <td>(</td>
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<p>Sets the maximal number of iterations allowed to converge to one eigenvalue or decouple the problem. </p>

<p>Referenced by <a class="el" href="classEigen_1_1GeneralizedEigenSolver.html#af6db2eac907628bd50de67a4ede88a5a">GeneralizedEigenSolver&lt; _MatrixType &gt;::setMaxIterations()</a>.</p>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="RealQZ_8h_source.html">RealQZ.h</a></li>
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