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95 lines
3.0 KiB
C++
95 lines
3.0 KiB
C++
// 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) 2011 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "common.h"
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#include <Eigen/Eigenvalues>
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// computes an LU factorization of a general M-by-N matrix A using partial pivoting with row interchanges
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EIGEN_LAPACK_FUNC(syev,(char *jobz, char *uplo, int* n, Scalar* a, int *lda, Scalar* w, Scalar* /*work*/, int* lwork, int *info))
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{
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// TODO exploit the work buffer
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bool query_size = *lwork==-1;
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*info = 0;
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if(*jobz!='N' && *jobz!='V') *info = -1;
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else if(UPLO(*uplo)==INVALID) *info = -2;
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else if(*n<0) *info = -3;
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else if(*lda<std::max(1,*n)) *info = -5;
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else if((!query_size) && *lwork<std::max(1,3**n-1)) *info = -8;
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// if(*info==0)
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// {
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// int nb = ILAENV( 1, 'SSYTRD', UPLO, N, -1, -1, -1 )
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// LWKOPT = MAX( 1, ( NB+2 )*N )
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// WORK( 1 ) = LWKOPT
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// *
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// IF( LWORK.LT.MAX( 1, 3*N-1 ) .AND. .NOT.LQUERY )
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// $ INFO = -8
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// END IF
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// *
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// IF( INFO.NE.0 ) THEN
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// CALL XERBLA( 'SSYEV ', -INFO )
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// RETURN
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// ELSE IF( LQUERY ) THEN
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// RETURN
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// END IF
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if(*info!=0)
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{
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int e = -*info;
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return xerbla_(SCALAR_SUFFIX_UP"SYEV ", &e, 6);
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}
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if(query_size)
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{
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*lwork = 0;
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return 0;
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}
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if(*n==0)
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return 0;
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PlainMatrixType mat(*n,*n);
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if(UPLO(*uplo)==UP) mat = matrix(a,*n,*n,*lda).adjoint();
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else mat = matrix(a,*n,*n,*lda);
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bool computeVectors = *jobz=='V' || *jobz=='v';
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SelfAdjointEigenSolver<PlainMatrixType> eig(mat,computeVectors?ComputeEigenvectors:EigenvaluesOnly);
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if(eig.info()==NoConvergence)
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{
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vector(w,*n).setZero();
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if(computeVectors)
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matrix(a,*n,*n,*lda).setIdentity();
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//*info = 1;
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return 0;
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}
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vector(w,*n) = eig.eigenvalues();
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if(computeVectors)
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matrix(a,*n,*n,*lda) = eig.eigenvectors();
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return 0;
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}
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