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) \
44RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
45RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \
47 typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> MatrixType; \
48 typedef MatrixType::Scalar Scalar; \
49 typedef MatrixType::RealScalar RealScalar; \
51 assert(matrix.cols() == matrix.rows()); \
53 lapack_int n = matrix.cols(), sdim, info; \
54 lapack_int lda = matrix.outerStride(); \
55 lapack_int matrix_order = MKLCOLROW; \
56 char jobvs, sort='N'; \
57 LAPACK_##MKLPREFIX_U##_SELECT2 select = 0; \
58 jobvs = (computeU) ? 'V' : 'N'; \
59 m_matU.resize(n, n); \
60 lapack_int ldvs = m_matU.outerStride(); \
62 Matrix<EIGTYPE, Dynamic, Dynamic> wr, wi; \
63 wr.resize(n, 1); wi.resize(n, 1); \
64 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 ); \
68 m_info = NoConvergence; \
70 m_isInitialized = true; \
71 m_matUisUptodate = computeU; \
76EIGEN_MKL_SCHUR_REAL(
double,
double, d, D,
ColMajor, LAPACK_COL_MAJOR)
77EIGEN_MKL_SCHUR_REAL(
float,
float, s, S,
ColMajor, LAPACK_COL_MAJOR)
78EIGEN_MKL_SCHUR_REAL(
double,
double, d, D,
RowMajor, LAPACK_ROW_MAJOR)
79EIGEN_MKL_SCHUR_REAL(
float,
float, s, S,
RowMajor, LAPACK_ROW_MAJOR)
@ RowMajor
Definition Constants.h:259
@ ColMajor
Definition Constants.h:257