33 #ifndef EIGEN_REAL_SCHUR_MKL_H    34 #define EIGEN_REAL_SCHUR_MKL_H    42 #define EIGEN_MKL_SCHUR_REAL(EIGTYPE, MKLTYPE, MKLPREFIX, MKLPREFIX_U, EIGCOLROW, MKLCOLROW) \    44 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \    45 RealSchur<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   eigen_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; \    83 #endif // EIGEN_REAL_SCHUR_MKL_H 
#define EIGEN_MKL_SCHUR_REAL(EIGTYPE, MKLTYPE, MKLPREFIX, MKLPREFIX_U, EIGCOLROW, MKLCOLROW)