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<div class="title">Class List</div> </div>
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<div class="textblock">Here are the classes, structs, unions and interfaces with brief descriptions:</div><div class="directory">
<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span>]</div><table class="directory">
<tr id="row_0_" class="even"><td class="entry"><img id="arr_0_" src="ftv2mlastnode.png" alt="\" width="16" height="22" onclick="toggleFolder('0_')"/><img src="ftv2ns.png" alt="N" width="24" height="22" /><a class="el" href="namespaceEigen.html" target="_self">Eigen</a></td><td class="desc">Iterative scaling algorithm to equilibrate rows and column norms in matrices </td></tr>
<tr id="row_0_0_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1AlignedVector3.html" target="_self">AlignedVector3</a></td><td class="desc">A vectorization friendly 3D vector </td></tr>
<tr id="row_0_1_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1AutoDiffScalar.html" target="_self">AutoDiffScalar</a></td><td class="desc">A scalar type replacement with automatic differentation capability </td></tr>
<tr id="row_0_2_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1BDCSVD.html" target="_self">BDCSVD</a></td><td class="desc">Class Bidiagonal Divide and Conquer SVD </td></tr>
<tr id="row_0_3_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1DGMRES.html" target="_self">DGMRES</a></td><td class="desc">A Restarted <a class="el" href="classEigen_1_1GMRES.html" title="A GMRES solver for sparse square problems. ">GMRES</a> with deflation. This class implements a modification of the <a class="el" href="classEigen_1_1GMRES.html" title="A GMRES solver for sparse square problems. ">GMRES</a> solver for sparse linear systems. The basis is built with modified Gram-Schmidt. At each restart, a few approximated eigenvectors corresponding to the smallest eigenvalues are used to build a preconditioner for the next cycle. This preconditioner for deflation can be combined with any other preconditioner, the IncompleteLUT for instance. The preconditioner is applied at right of the matrix and the combination is multiplicative </td></tr>
<tr id="row_0_4_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1DynamicSparseMatrix.html" target="_self">DynamicSparseMatrix</a></td><td class="desc">A sparse matrix class designed for matrix assembly purpose </td></tr>
<tr id="row_0_5_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1GMRES.html" target="_self">GMRES</a></td><td class="desc">A <a class="el" href="classEigen_1_1GMRES.html" title="A GMRES solver for sparse square problems. ">GMRES</a> solver for sparse square problems </td></tr>
<tr id="row_0_6_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1HybridNonLinearSolver.html" target="_self">HybridNonLinearSolver</a></td><td class="desc">Finds a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method ("dogleg") </td></tr>
<tr id="row_0_7_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1IncompleteCholesky.html" target="_self">IncompleteCholesky</a></td><td class="desc">Modified Incomplete Cholesky with dual threshold </td></tr>
<tr id="row_0_8_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1IterationController.html" target="_self">IterationController</a></td><td class="desc">Controls the iterations of the iterative solvers </td></tr>
<tr id="row_0_9_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1JacobiSVD.html" target="_self">JacobiSVD</a></td><td class="desc">Two-sided Jacobi SVD decomposition of a rectangular matrix </td></tr>
<tr id="row_0_10_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1KdBVH.html" target="_self">KdBVH</a></td><td class="desc">A simple bounding volume hierarchy based on AlignedBox </td></tr>
<tr id="row_0_11_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1KroneckerProduct.html" target="_self">KroneckerProduct</a></td><td class="desc">Kronecker tensor product helper class for dense matrices </td></tr>
<tr id="row_0_12_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1KroneckerProductSparse.html" target="_self">KroneckerProductSparse</a></td><td class="desc">Kronecker tensor product helper class for sparse matrices </td></tr>
<tr id="row_0_13_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1LevenbergMarquardt.html" target="_self">LevenbergMarquardt</a></td><td class="desc">Performs non linear optimization over a non-linear function, using a variant of the Levenberg Marquardt algorithm </td></tr>
<tr id="row_0_14_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixExponential.html" target="_self">MatrixExponential</a></td><td class="desc">Class for computing the matrix exponential </td></tr>
<tr id="row_0_15_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="structEigen_1_1MatrixExponentialReturnValue.html" target="_self">MatrixExponentialReturnValue</a></td><td class="desc">Proxy for the matrix exponential of some matrix (expression) </td></tr>
<tr id="row_0_16_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixFunction.html" target="_self">MatrixFunction</a></td><td class="desc">Class for computing matrix functions </td></tr>
<tr id="row_0_17_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixFunctionAtomic.html" target="_self">MatrixFunctionAtomic</a></td><td class="desc">Helper class for computing matrix functions of atomic matrices </td></tr>
<tr id="row_0_18_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixFunctionReturnValue.html" target="_self">MatrixFunctionReturnValue</a></td><td class="desc">Proxy for the matrix function of some matrix (expression) </td></tr>
<tr id="row_0_19_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixLogarithmAtomic.html" target="_self">MatrixLogarithmAtomic</a></td><td class="desc">Helper class for computing matrix logarithm of atomic matrices </td></tr>
<tr id="row_0_20_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixLogarithmReturnValue.html" target="_self">MatrixLogarithmReturnValue</a></td><td class="desc">Proxy for the matrix logarithm of some matrix (expression) </td></tr>
<tr id="row_0_21_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixMarketIterator.html" target="_self">MatrixMarketIterator</a></td><td class="desc">Iterator to browse matrices from a specified folder </td></tr>
<tr id="row_0_22_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixPower.html" target="_self">MatrixPower</a></td><td class="desc">Class for computing matrix powers </td></tr>
<tr id="row_0_23_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixPowerReturnValue.html" target="_self">MatrixPowerReturnValue</a></td><td class="desc">Proxy for the matrix power of some matrix (expression) </td></tr>
<tr id="row_0_24_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixSquareRoot.html" target="_self">MatrixSquareRoot</a></td><td class="desc">Class for computing matrix square roots of general matrices </td></tr>
<tr id="row_0_25_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixSquareRootQuasiTriangular.html" target="_self">MatrixSquareRootQuasiTriangular</a></td><td class="desc">Class for computing matrix square roots of upper quasi-triangular matrices </td></tr>
<tr id="row_0_26_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixSquareRootReturnValue.html" target="_self">MatrixSquareRootReturnValue</a></td><td class="desc">Proxy for the matrix square root of some matrix (expression) </td></tr>
<tr id="row_0_27_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MatrixSquareRootTriangular.html" target="_self">MatrixSquareRootTriangular</a></td><td class="desc">Class for computing matrix square roots of upper triangular matrices </td></tr>
<tr id="row_0_28_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1MINRES.html" target="_self">MINRES</a></td><td class="desc">A minimal residual solver for sparse symmetric problems </td></tr>
<tr id="row_0_29_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1NumericalDiff.html" target="_self">NumericalDiff</a></td><td class="desc"></td></tr>
<tr id="row_0_30_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1PolynomialSolver.html" target="_self">PolynomialSolver</a></td><td class="desc">A polynomial solver </td></tr>
<tr id="row_0_31_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1PolynomialSolverBase.html" target="_self">PolynomialSolverBase</a></td><td class="desc">Defined to be inherited by polynomial solvers: it provides convenient methods such as </td></tr>
<tr id="row_0_32_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1RandomSetter.html" target="_self">RandomSetter</a></td><td class="desc">The <a class="el" href="classEigen_1_1RandomSetter.html" title="The RandomSetter is a wrapper object allowing to set/update a sparse matrix with random access...">RandomSetter</a> is a wrapper object allowing to set/update a sparse matrix with random access </td></tr>
<tr id="row_0_33_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1SkylineInplaceLU.html" target="_self">SkylineInplaceLU</a></td><td class="desc">Inplace LU decomposition of a skyline matrix and associated features </td></tr>
<tr id="row_0_34_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1SkylineMatrix.html" target="_self">SkylineMatrix</a></td><td class="desc">The main skyline matrix class </td></tr>
<tr id="row_0_35_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1SkylineMatrixBase.html" target="_self">SkylineMatrixBase</a></td><td class="desc">Base class of any skyline matrices or skyline expressions </td></tr>
<tr id="row_0_36_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1SkylineStorage.html" target="_self">SkylineStorage</a></td><td class="desc"></td></tr>
<tr id="row_0_37_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="classEigen_1_1Spline.html" target="_self">Spline</a></td><td class="desc">A class representing multi-dimensional spline curves </td></tr>
<tr id="row_0_38_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="structEigen_1_1SplineFitting.html" target="_self">SplineFitting</a></td><td class="desc"><a class="el" href="classEigen_1_1Spline.html" title="A class representing multi-dimensional spline curves. ">Spline</a> fitting methods </td></tr>
<tr id="row_0_39_" class="even"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="structEigen_1_1SplineTraits_3_01Spline_3_01__Scalar_00_01__Dim_00_01__Degree_01_4_00_01__DerivativeOrder_01_4.html" target="_self">SplineTraits< Spline< _Scalar, _Dim, _Degree >, _DerivativeOrder ></a></td><td class="desc">Compile-time attributes of the <a class="el" href="classEigen_1_1Spline.html" title="A class representing multi-dimensional spline curves. ">Spline</a> class for fixed degree </td></tr>
<tr id="row_0_40_"><td class="entry"><img src="ftv2blank.png" alt=" " width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><img src="ftv2cl.png" alt="C" width="24" height="22" /><a class="el" href="structEigen_1_1SplineTraits_3_01Spline_3_01__Scalar_00_01__Dim_00_01__Degree_01_4_00_01Dynamic_01_4.html" target="_self">SplineTraits< Spline< _Scalar, _Dim, _Degree >, Dynamic ></a></td><td class="desc">Compile-time attributes of the <a class="el" href="classEigen_1_1Spline.html" title="A class representing multi-dimensional spline curves. ">Spline</a> class for Dynamic degree </td></tr>
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