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Make the IterativeLinearSolvers module compatible with MPL2-only mode
by defaulting to COLAMDOrdering and NaturalOrdering for ILUT and ILLT respectively.
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@ -222,16 +222,25 @@ template<typename _MatrixType>
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void IncompleteLUT<Scalar>::analyzePattern(const _MatrixType& amat)
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{
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// Compute the Fill-reducing permutation
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// Since ILUT does not perform any numerical pivoting,
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// it is highly preferable to keep the diagonal through symmetric permutations.
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#ifndef EIGEN_MPL2_ONLY
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// To this end, let's symmetrize the pattern and perform AMD on it.
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SparseMatrix<Scalar,ColMajor, Index> mat1 = amat;
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SparseMatrix<Scalar,ColMajor, Index> mat2 = amat.transpose();
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// Symmetrize the pattern
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// FIXME for a matrix with nearly symmetric pattern, mat2+mat1 is the appropriate choice.
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// on the other hand for a really non-symmetric pattern, mat2*mat1 should be prefered...
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SparseMatrix<Scalar,ColMajor, Index> AtA = mat2 + mat1;
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AtA.prune(keep_diag());
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internal::minimum_degree_ordering<Scalar, Index>(AtA, m_P); // Then compute the AMD ordering...
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m_Pinv = m_P.inverse(); // ... and the inverse permutation
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AMDOrdering<Index> ordering;
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ordering(AtA,m_P);
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m_Pinv = m_P.inverse(); // cache the inverse permutation
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#else
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// If AMD is not available, (MPL2-only), then let's use the slower COLAMD routine.
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SparseMatrix<Scalar,ColMajor, Index> mat1 = amat;
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COLAMDOrdering<Index> ordering;
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ordering(mat1,m_Pinv);
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m_P = m_Pinv.inverse();
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#endif
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m_analysisIsOk = true;
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m_factorizationIsOk = false;
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@ -223,6 +223,7 @@ ei_add_test(prec_inverse_4x4)
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ei_add_test(vectorwiseop)
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ei_add_test(special_numbers)
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ei_add_test(rvalue_types)
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ei_add_test(mpl2only)
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ei_add_test(simplicial_cholesky)
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ei_add_test(conjugate_gradient)
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20
test/mpl2only.cpp
Normal file
20
test/mpl2only.cpp
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@ -0,0 +1,20 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#define EIGEN_MPL2_ONLY
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#include <Eigen/Dense>
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#include <Eigen/SparseCore>
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#include <Eigen/SparseLU>
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#include <Eigen/SparseQR>
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#include <Eigen/IterativeLinearSolvers>
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int main()
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{
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return 0;
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}
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