|  | /* | 
|  | Copyright (c) 2011, Intel Corporation. All rights reserved. | 
|  |  | 
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|  | are permitted provided that the following conditions are met: | 
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|  | * Redistributions in binary form must reproduce the above copyright notice, | 
|  | this list of conditions and the following disclaimer in the documentation | 
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|  | * Neither the name of Intel Corporation nor the names of its contributors may | 
|  | be used to endorse or promote products derived from this software without | 
|  | specific prior written permission. | 
|  |  | 
|  | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND | 
|  | ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | 
|  | WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | 
|  | DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR | 
|  | ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES | 
|  | (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | 
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|  | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | 
|  |  | 
|  | ******************************************************************************** | 
|  | *   Content : Eigen bindings to LAPACKe | 
|  | *    Self-adjoint eigenvalues/eigenvectors. | 
|  | ******************************************************************************** | 
|  | */ | 
|  |  | 
|  | #ifndef EIGEN_SAEIGENSOLVER_LAPACKE_H | 
|  | #define EIGEN_SAEIGENSOLVER_LAPACKE_H | 
|  |  | 
|  | // IWYU pragma: private | 
|  | #include "./InternalHeaderCheck.h" | 
|  |  | 
|  | namespace Eigen { | 
|  |  | 
|  | /** \internal Specialization for the data types supported by LAPACKe */ | 
|  |  | 
|  | #define EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, EIGCOLROW)                   \ | 
|  | template <>                                                                                                        \ | 
|  | template <typename InputType>                                                                                      \ | 
|  | inline SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >&                                      \ | 
|  | SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, \ | 
|  | int options) {                      \ | 
|  | eigen_assert(matrix.cols() == matrix.rows());                                                                    \ | 
|  | eigen_assert((options & ~(EigVecMask | GenEigMask)) == 0 && (options & EigVecMask) != EigVecMask &&              \ | 
|  | "invalid option parameter");                                                                        \ | 
|  | bool computeEigenvectors = (options & ComputeEigenvectors) == ComputeEigenvectors;                               \ | 
|  | lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), lda, info;                                    \ | 
|  | m_eivalues.resize(n, 1);                                                                                         \ | 
|  | m_subdiag.resize(n - 1);                                                                                         \ | 
|  | m_eivec = matrix;                                                                                                \ | 
|  | \ | 
|  | if (n == 1) {                                                                                                    \ | 
|  | m_eivalues.coeffRef(0, 0) = numext::real(m_eivec.coeff(0, 0));                                                 \ | 
|  | if (computeEigenvectors) m_eivec.setOnes(n, n);                                                                \ | 
|  | m_info = Success;                                                                                              \ | 
|  | m_isInitialized = true;                                                                                        \ | 
|  | m_eigenvectorsOk = computeEigenvectors;                                                                        \ | 
|  | return *this;                                                                                                  \ | 
|  | }                                                                                                                \ | 
|  | \ | 
|  | lda = internal::convert_index<lapack_int>(m_eivec.outerStride());                                                \ | 
|  | char jobz, uplo = 'L' /*, range='A'*/;                                                                           \ | 
|  | jobz = computeEigenvectors ? 'V' : 'N';                                                                          \ | 
|  | \ | 
|  | info = LAPACKE_##LAPACKE_NAME(LAPACK_COL_MAJOR, jobz, uplo, n, (LAPACKE_TYPE*)m_eivec.data(), lda,               \ | 
|  | (LAPACKE_RTYPE*)m_eivalues.data());                                                \ | 
|  | m_info = (info == 0) ? Success : NoConvergence;                                                                  \ | 
|  | m_isInitialized = true;                                                                                          \ | 
|  | m_eigenvectorsOk = computeEigenvectors;                                                                          \ | 
|  | return *this;                                                                                                    \ | 
|  | } | 
|  |  | 
|  | #define EIGEN_LAPACKE_EIG_SELFADJ(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME)       \ | 
|  | EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, ColMajor) \ | 
|  | EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, RowMajor) | 
|  |  | 
|  | EIGEN_LAPACKE_EIG_SELFADJ(double, double, double, dsyev) | 
|  | EIGEN_LAPACKE_EIG_SELFADJ(float, float, float, ssyev) | 
|  | EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev) | 
|  | EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float, float, cheev) | 
|  |  | 
|  | }  // end namespace Eigen | 
|  |  | 
|  | #endif  // EIGEN_SAEIGENSOLVER_H |