33#ifndef EIGEN_REAL_SCHUR_MKL_H
34#define EIGEN_REAL_SCHUR_MKL_H
36#include "Eigen/src/Core/util/MKL_support.h"
42#define EIGEN_MKL_SCHUR_REAL(EIGTYPE, MKLTYPE, MKLPREFIX, MKLPREFIX_U, EIGCOLROW, MKLCOLROW) \
43template<> template<typename InputType> inline \
44RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
45RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, bool computeU) \
47 eigen_assert(matrix.cols() == matrix.rows()); \
49 lapack_int n = matrix.cols(), sdim, info; \
50 lapack_int matrix_order = MKLCOLROW; \
51 char jobvs, sort='N'; \
52 LAPACK_##MKLPREFIX_U##_SELECT2 select = 0; \
53 jobvs = (computeU) ? 'V' : 'N'; \
54 m_matU.resize(n, n); \
55 lapack_int ldvs = m_matU.outerStride(); \
57 lapack_int lda = m_matT.outerStride(); \
58 Matrix<EIGTYPE, Dynamic, Dynamic> wr, wi; \
59 wr.resize(n, 1); wi.resize(n, 1); \
60 info = LAPACKE_##MKLPREFIX##gees( matrix_order, jobvs, sort, select, n, (MKLTYPE*)m_matT.data(), lda, &sdim, (MKLTYPE*)wr.data(), (MKLTYPE*)wi.data(), (MKLTYPE*)m_matU.data(), ldvs ); \
64 m_info = NoConvergence; \
66 m_isInitialized = true; \
67 m_matUisUptodate = computeU; \
72EIGEN_MKL_SCHUR_REAL(
double,
double, d, D, ColMajor, LAPACK_COL_MAJOR)
73EIGEN_MKL_SCHUR_REAL(
float,
float, s, S, ColMajor, LAPACK_COL_MAJOR)
74EIGEN_MKL_SCHUR_REAL(
double,
double, d, D, RowMajor, LAPACK_ROW_MAJOR)
75EIGEN_MKL_SCHUR_REAL(
float,
float, s, S, RowMajor, LAPACK_ROW_MAJOR)