cart-elc

Source code for CART-ELC
git clone git://git.laack.co/cart-elc.git
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incomplete_cholesky.cpp (2623B)


      1 // This file is part of Eigen, a lightweight C++ template library
      2 // for linear algebra.
      3 //
      4 // Copyright (C) 2015-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
      5 //
      6 // This Source Code Form is subject to the terms of the Mozilla
      7 // Public License v. 2.0. If a copy of the MPL was not distributed
      8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
      9 // #define EIGEN_DONT_VECTORIZE
     10 // #define EIGEN_MAX_ALIGN_BYTES 0
     11 #include "sparse_solver.h"
     12 #include <Eigen/IterativeLinearSolvers>
     13 #include <unsupported/Eigen/IterativeSolvers>
     14 
     15 template<typename T, typename I_> void test_incomplete_cholesky_T()
     16 {
     17   typedef SparseMatrix<T,0,I_> SparseMatrixType;
     18   ConjugateGradient<SparseMatrixType, Lower, IncompleteCholesky<T, Lower, AMDOrdering<I_> > >        cg_illt_lower_amd;
     19   ConjugateGradient<SparseMatrixType, Lower, IncompleteCholesky<T, Lower, NaturalOrdering<I_> > >    cg_illt_lower_nat;
     20   ConjugateGradient<SparseMatrixType, Upper, IncompleteCholesky<T, Upper, AMDOrdering<I_> > >        cg_illt_upper_amd;
     21   ConjugateGradient<SparseMatrixType, Upper, IncompleteCholesky<T, Upper, NaturalOrdering<I_> > >    cg_illt_upper_nat;
     22   ConjugateGradient<SparseMatrixType, Upper|Lower, IncompleteCholesky<T, Lower, AMDOrdering<I_> > >  cg_illt_uplo_amd;
     23   
     24 
     25   CALL_SUBTEST( check_sparse_spd_solving(cg_illt_lower_amd) );
     26   CALL_SUBTEST( check_sparse_spd_solving(cg_illt_lower_nat) );
     27   CALL_SUBTEST( check_sparse_spd_solving(cg_illt_upper_amd) );
     28   CALL_SUBTEST( check_sparse_spd_solving(cg_illt_upper_nat) );
     29   CALL_SUBTEST( check_sparse_spd_solving(cg_illt_uplo_amd) );
     30 }
     31 
     32 template<int>
     33 void bug1150()
     34 {
     35   // regression for bug 1150
     36   for(int N = 1; N<20; ++N)
     37   {
     38     Eigen::MatrixXd b( N, N );
     39     b.setOnes();
     40 
     41     Eigen::SparseMatrix<double> m( N, N );
     42     m.reserve(Eigen::VectorXi::Constant(N,4));
     43     for( int i = 0; i < N; ++i )
     44     {
     45         m.insert( i, i ) = 1;
     46         m.coeffRef( i, i / 2 ) = 2;
     47         m.coeffRef( i, i / 3 ) = 2;
     48         m.coeffRef( i, i / 4 ) = 2;
     49     }
     50 
     51     Eigen::SparseMatrix<double> A;
     52     A = m * m.transpose();
     53 
     54     Eigen::ConjugateGradient<Eigen::SparseMatrix<double>,
     55         Eigen::Lower | Eigen::Upper,
     56         Eigen::IncompleteCholesky<double> > solver( A );
     57     VERIFY(solver.preconditioner().info() == Eigen::Success);
     58     VERIFY(solver.info() == Eigen::Success);
     59   }
     60 }
     61 
     62 EIGEN_DECLARE_TEST(incomplete_cholesky)
     63 {
     64   CALL_SUBTEST_1(( test_incomplete_cholesky_T<double,int>() ));
     65   CALL_SUBTEST_2(( test_incomplete_cholesky_T<std::complex<double>, int>() ));
     66   CALL_SUBTEST_3(( test_incomplete_cholesky_T<double,long int>() ));
     67 
     68   CALL_SUBTEST_1(( bug1150<0>() ));
     69 }