33 #ifndef EIGEN_COMPLEX_SCHUR_MKL_H
34 #define EIGEN_COMPLEX_SCHUR_MKL_H
36 #include "Eigen/src/Core/util/MKL_support.h"
42 #define EIGEN_MKL_SCHUR_COMPLEX(EIGTYPE, MKLTYPE, MKLPREFIX, MKLPREFIX_U, EIGCOLROW, MKLCOLROW) \
44 ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
45 ComplexSchur<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; \
50 typedef std::complex<RealScalar> ComplexScalar; \
52 eigen_assert(matrix.cols() == matrix.rows()); \
54 m_matUisUptodate = false; \
55 if(matrix.cols() == 1) \
57 m_matT = matrix.cast<ComplexScalar>(); \
58 if(computeU) m_matU = ComplexMatrixType::Identity(1,1); \
60 m_isInitialized = true; \
61 m_matUisUptodate = computeU; \
64 lapack_int n = matrix.cols(), sdim, info; \
65 lapack_int lda = matrix.outerStride(); \
66 lapack_int matrix_order = MKLCOLROW; \
67 char jobvs, sort='N'; \
68 LAPACK_##MKLPREFIX_U##_SELECT1 select = 0; \
69 jobvs = (computeU) ? 'V' : 'N'; \
70 m_matU.resize(n, n); \
71 lapack_int ldvs = m_matU.outerStride(); \
73 Matrix<EIGTYPE, Dynamic, Dynamic> w; \
75 info = LAPACKE_##MKLPREFIX##gees( matrix_order, jobvs, sort, select, n, (MKLTYPE*)m_matT.data(), lda, &sdim, (MKLTYPE*)w.data(), (MKLTYPE*)m_matU.data(), ldvs ); \
79 m_info = NoConvergence; \
81 m_isInitialized = true; \
82 m_matUisUptodate = computeU; \
87 EIGEN_MKL_SCHUR_COMPLEX(dcomplex, MKL_Complex16, z, Z,
ColMajor, LAPACK_COL_MAJOR)
88 EIGEN_MKL_SCHUR_COMPLEX(scomplex, MKL_Complex8, c, C,
ColMajor, LAPACK_COL_MAJOR)
89 EIGEN_MKL_SCHUR_COMPLEX(dcomplex, MKL_Complex16, z, Z,
RowMajor, LAPACK_ROW_MAJOR)
90 EIGEN_MKL_SCHUR_COMPLEX(scomplex, MKL_Complex8, c, C, RowMajor, LAPACK_ROW_MAJOR)
94 #endif // EIGEN_COMPLEX_SCHUR_MKL_H
Definition: Constants.h:264
Definition: Constants.h:266