Eigne Matrix Class Library
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SelfAdjointEigenSolver_MKL.h
00001 /* 00002 Copyright (c) 2011, Intel Corporation. All rights reserved. 00003 00004 Redistribution and use in source and binary forms, with or without modification, 00005 are permitted provided that the following conditions are met: 00006 00007 * Redistributions of source code must retain the above copyright notice, this 00008 list of conditions and the following disclaimer. 00009 * Redistributions in binary form must reproduce the above copyright notice, 00010 this list of conditions and the following disclaimer in the documentation 00011 and/or other materials provided with the distribution. 00012 * Neither the name of Intel Corporation nor the names of its contributors may 00013 be used to endorse or promote products derived from this software without 00014 specific prior written permission. 00015 00016 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 00017 ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 00018 WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 00019 DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 00020 ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 00021 (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00022 LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 00023 ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 00024 (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00025 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00026 00027 ******************************************************************************** 00028 * Content : Eigen bindings to Intel(R) MKL 00029 * Self-adjoint eigenvalues/eigenvectors. 00030 ******************************************************************************** 00031 */ 00032 00033 #ifndef EIGEN_SAEIGENSOLVER_MKL_H 00034 #define EIGEN_SAEIGENSOLVER_MKL_H 00035 00036 #include "Eigen/src/Core/util/MKL_support.h" 00037 00038 namespace Eigen { 00039 00040 /** \internal Specialization for the data types supported by MKL */ 00041 00042 #define EIGEN_MKL_EIG_SELFADJ(EIGTYPE, MKLTYPE, MKLRTYPE, MKLNAME, EIGCOLROW, MKLCOLROW ) \ 00043 template<> inline \ 00044 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \ 00045 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, int options) \ 00046 { \ 00047 eigen_assert(matrix.cols() == matrix.rows()); \ 00048 eigen_assert((options&~(EigVecMask|GenEigMask))==0 \ 00049 && (options&EigVecMask)!=EigVecMask \ 00050 && "invalid option parameter"); \ 00051 bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors; \ 00052 lapack_int n = matrix.cols(), lda, matrix_order, info; \ 00053 m_eivalues.resize(n,1); \ 00054 m_subdiag.resize(n-1); \ 00055 m_eivec = matrix; \ 00056 \ 00057 if(n==1) \ 00058 { \ 00059 m_eivalues.coeffRef(0,0) = numext::real(matrix.coeff(0,0)); \ 00060 if(computeEigenvectors) m_eivec.setOnes(n,n); \ 00061 m_info = Success; \ 00062 m_isInitialized = true; \ 00063 m_eigenvectorsOk = computeEigenvectors; \ 00064 return *this; \ 00065 } \ 00066 \ 00067 lda = matrix.outerStride(); \ 00068 matrix_order=MKLCOLROW; \ 00069 char jobz, uplo='L'/*, range='A'*/; \ 00070 jobz = computeEigenvectors ? 'V' : 'N'; \ 00071 \ 00072 info = LAPACKE_##MKLNAME( matrix_order, jobz, uplo, n, (MKLTYPE*)m_eivec.data(), lda, (MKLRTYPE*)m_eivalues.data() ); \ 00073 m_info = (info==0) ? Success : NoConvergence; \ 00074 m_isInitialized = true; \ 00075 m_eigenvectorsOk = computeEigenvectors; \ 00076 return *this; \ 00077 } 00078 00079 00080 EIGEN_MKL_EIG_SELFADJ(double, double, double, dsyev, ColMajor, LAPACK_COL_MAJOR) 00081 EIGEN_MKL_EIG_SELFADJ(float, float, float, ssyev, ColMajor, LAPACK_COL_MAJOR) 00082 EIGEN_MKL_EIG_SELFADJ(dcomplex, MKL_Complex16, double, zheev, ColMajor, LAPACK_COL_MAJOR) 00083 EIGEN_MKL_EIG_SELFADJ(scomplex, MKL_Complex8, float, cheev, ColMajor, LAPACK_COL_MAJOR) 00084 00085 EIGEN_MKL_EIG_SELFADJ(double, double, double, dsyev, RowMajor, LAPACK_ROW_MAJOR) 00086 EIGEN_MKL_EIG_SELFADJ(float, float, float, ssyev, RowMajor, LAPACK_ROW_MAJOR) 00087 EIGEN_MKL_EIG_SELFADJ(dcomplex, MKL_Complex16, double, zheev, RowMajor, LAPACK_ROW_MAJOR) 00088 EIGEN_MKL_EIG_SELFADJ(scomplex, MKL_Complex8, float, cheev, RowMajor, LAPACK_ROW_MAJOR) 00089 00090 } // end namespace Eigen 00091 00092 #endif // EIGEN_SAEIGENSOLVER_H
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