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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 * Real Schur needed to real unsymmetrical eigenvalues/eigenvectors. 00030 ******************************************************************************** 00031 */ 00032 00033 #ifndef EIGEN_REAL_SCHUR_LAPACKE_H 00034 #define EIGEN_REAL_SCHUR_LAPACKE_H 00035 00036 namespace Eigen { 00037 00040 #define EIGEN_LAPACKE_SCHUR_REAL(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX, LAPACKE_PREFIX_U, EIGCOLROW, LAPACKE_COLROW) \ 00041 template<> template<typename InputType> inline \ 00042 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \ 00043 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, bool computeU) \ 00044 { \ 00045 eigen_assert(matrix.cols() == matrix.rows()); \ 00046 \ 00047 lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), sdim, info; \ 00048 lapack_int matrix_order = LAPACKE_COLROW; \ 00049 char jobvs, sort='N'; \ 00050 LAPACK_##LAPACKE_PREFIX_U##_SELECT2 select = 0; \ 00051 jobvs = (computeU) ? 'V' : 'N'; \ 00052 m_matU.resize(n, n); \ 00053 lapack_int ldvs = internal::convert_index<lapack_int>(m_matU.outerStride()); \ 00054 m_matT = matrix; \ 00055 lapack_int lda = internal::convert_index<lapack_int>(m_matT.outerStride()); \ 00056 Matrix<EIGTYPE, Dynamic, Dynamic> wr, wi; \ 00057 wr.resize(n, 1); wi.resize(n, 1); \ 00058 info = LAPACKE_##LAPACKE_PREFIX##gees( matrix_order, jobvs, sort, select, n, (LAPACKE_TYPE*)m_matT.data(), lda, &sdim, (LAPACKE_TYPE*)wr.data(), (LAPACKE_TYPE*)wi.data(), (LAPACKE_TYPE*)m_matU.data(), ldvs ); \ 00059 if(info == 0) \ 00060 m_info = Success; \ 00061 else \ 00062 m_info = NoConvergence; \ 00063 \ 00064 m_isInitialized = true; \ 00065 m_matUisUptodate = computeU; \ 00066 return *this; \ 00067 \ 00068 } 00069 00070 EIGEN_LAPACKE_SCHUR_REAL(double, double, d, D, ColMajor, LAPACK_COL_MAJOR) 00071 EIGEN_LAPACKE_SCHUR_REAL(float, float, s, S, ColMajor, LAPACK_COL_MAJOR) 00072 EIGEN_LAPACKE_SCHUR_REAL(double, double, d, D, RowMajor, LAPACK_ROW_MAJOR) 00073 EIGEN_LAPACKE_SCHUR_REAL(float, float, s, S, RowMajor, LAPACK_ROW_MAJOR) 00074 00075 } // end namespace Eigen 00076 00077 #endif // EIGEN_REAL_SCHUR_LAPACKE_H