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Eigen
3.3.3
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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 LAPACKe 00029 * Self-adjoint eigenvalues/eigenvectors. 00030 ******************************************************************************** 00031 */ 00032 00033 #ifndef EIGEN_SAEIGENSOLVER_LAPACKE_H 00034 #define EIGEN_SAEIGENSOLVER_LAPACKE_H 00035 00036 namespace Eigen { 00037 00040 #define EIGEN_LAPACKE_EIG_SELFADJ(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, EIGCOLROW, LAPACKE_COLROW ) \ 00041 template<> template<typename InputType> inline \ 00042 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \ 00043 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, int options) \ 00044 { \ 00045 eigen_assert(matrix.cols() == matrix.rows()); \ 00046 eigen_assert((options&~(EigVecMask|GenEigMask))==0 \ 00047 && (options&EigVecMask)!=EigVecMask \ 00048 && "invalid option parameter"); \ 00049 bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors; \ 00050 lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), lda, matrix_order, info; \ 00051 m_eivalues.resize(n,1); \ 00052 m_subdiag.resize(n-1); \ 00053 m_eivec = matrix; \ 00054 \ 00055 if(n==1) \ 00056 { \ 00057 m_eivalues.coeffRef(0,0) = numext::real(m_eivec.coeff(0,0)); \ 00058 if(computeEigenvectors) m_eivec.setOnes(n,n); \ 00059 m_info = Success; \ 00060 m_isInitialized = true; \ 00061 m_eigenvectorsOk = computeEigenvectors; \ 00062 return *this; \ 00063 } \ 00064 \ 00065 lda = internal::convert_index<lapack_int>(m_eivec.outerStride()); \ 00066 matrix_order=LAPACKE_COLROW; \ 00067 char jobz, uplo='L'/*, range='A'*/; \ 00068 jobz = computeEigenvectors ? 'V' : 'N'; \ 00069 \ 00070 info = LAPACKE_##LAPACKE_NAME( matrix_order, jobz, uplo, n, (LAPACKE_TYPE*)m_eivec.data(), lda, (LAPACKE_RTYPE*)m_eivalues.data() ); \ 00071 m_info = (info==0) ? Success : NoConvergence; \ 00072 m_isInitialized = true; \ 00073 m_eigenvectorsOk = computeEigenvectors; \ 00074 return *this; \ 00075 } 00076 00077 00078 EIGEN_LAPACKE_EIG_SELFADJ(double, double, double, dsyev, ColMajor, LAPACK_COL_MAJOR) 00079 EIGEN_LAPACKE_EIG_SELFADJ(float, float, float, ssyev, ColMajor, LAPACK_COL_MAJOR) 00080 EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev, ColMajor, LAPACK_COL_MAJOR) 00081 EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float, float, cheev, ColMajor, LAPACK_COL_MAJOR) 00082 00083 EIGEN_LAPACKE_EIG_SELFADJ(double, double, double, dsyev, RowMajor, LAPACK_ROW_MAJOR) 00084 EIGEN_LAPACKE_EIG_SELFADJ(float, float, float, ssyev, RowMajor, LAPACK_ROW_MAJOR) 00085 EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev, RowMajor, LAPACK_ROW_MAJOR) 00086 EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float, float, cheev, RowMajor, LAPACK_ROW_MAJOR) 00087 00088 } // end namespace Eigen 00089 00090 #endif // EIGEN_SAEIGENSOLVER_H