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<div class="title">The Eigen3 library</div> </div>
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Collaboration diagram for The Eigen3 library:</div>
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<center><table><tr><td><img src="group__eigen__grp.png" border="0" alt="" usemap="#group____eigen____grp"/>
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Modules</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___cholesky___module.html">Cholesky module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matrices. </p>
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<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___core___module.html">Core module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This is the main module of <a class="el" href="namespace_eigen.html" title="Namespace containing all symbols from the Eigen library.">Eigen</a> providing dense matrix and vector support (both fixed and dynamic size) with all the features corresponding to a BLAS library and much more... </p>
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<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__flags.html">Flags</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>These are the possible bits which can be OR'ed to constitute the flags of a matrix or expression. </p>
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<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__enums.html">Enumerations</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>Various enumerations used in Eigen. </p>
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<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__matrixtypedefs.html">Global matrix typedefs</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p><a class="el" href="namespace_eigen.html" title="Namespace containing all symbols from the Eigen library.">Eigen</a> defines several typedef shortcuts for most common matrix and vector types. </p>
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<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__arraytypedefs.html">Global array typedefs</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p><a class="el" href="namespace_eigen.html" title="Namespace containing all symbols from the Eigen library.">Eigen</a> defines several typedef shortcuts for most common 1D and 2D array types. </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___eigenvalues___module.html">Eigenvalues module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module mainly provides various eigenvalue solvers. </p>
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<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___geometry___module.html">Geometry module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module provides support for: </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___householder___module.html">Householder module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module provides Householder transformations. </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___jacobi___module.html">Jacobi module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module provides Jacobi and Givens rotations. </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___l_u___module.html">LU module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module includes LU decomposition and related notions such as matrix inversion and determinant. </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___q_r___module.html">QR module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module provides various QR decompositions This module also provides some <a class="el" href="class_eigen_1_1_matrix_base.html" title="Base class for all dense matrices, vectors, and expressions.">MatrixBase</a> methods, including: </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___sparse___module.html">Sparse module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>See the Sparse tutorial. </p>
<br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group___s_v_d___module.html">SVD module</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This module provides SVD decomposition for (currently) real matrices. </p>
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