Eigen  3.3.3
SelfAdjointEigenSolver_LAPACKE.h
00001 /*
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00003 
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00015 
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00026 
00027  ********************************************************************************
00028  *   Content : Eigen bindings to LAPACKe
00029  *    Self-adjoint eigenvalues/eigenvectors.
00030  ********************************************************************************
00031 */
00032 
00033 #ifndef EIGEN_SAEIGENSOLVER_LAPACKE_H
00034 #define EIGEN_SAEIGENSOLVER_LAPACKE_H
00035 
00036 namespace Eigen { 
00037 
00040 #define EIGEN_LAPACKE_EIG_SELFADJ(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, EIGCOLROW, LAPACKE_COLROW ) \
00041 template<> template<typename InputType> inline \
00042 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
00043 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, int options) \
00044 { \
00045   eigen_assert(matrix.cols() == matrix.rows()); \
00046   eigen_assert((options&~(EigVecMask|GenEigMask))==0 \
00047           && (options&EigVecMask)!=EigVecMask \
00048           && "invalid option parameter"); \
00049   bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors; \
00050   lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), lda, matrix_order, info; \
00051   m_eivalues.resize(n,1); \
00052   m_subdiag.resize(n-1); \
00053   m_eivec = matrix; \
00054 \
00055   if(n==1) \
00056   { \
00057     m_eivalues.coeffRef(0,0) = numext::real(m_eivec.coeff(0,0)); \
00058     if(computeEigenvectors) m_eivec.setOnes(n,n); \
00059     m_info = Success; \
00060     m_isInitialized = true; \
00061     m_eigenvectorsOk = computeEigenvectors; \
00062     return *this; \
00063   } \
00064 \
00065   lda = internal::convert_index<lapack_int>(m_eivec.outerStride()); \
00066   matrix_order=LAPACKE_COLROW; \
00067   char jobz, uplo='L'/*, range='A'*/; \
00068   jobz = computeEigenvectors ? 'V' : 'N'; \
00069 \
00070   info = LAPACKE_##LAPACKE_NAME( matrix_order, jobz, uplo, n, (LAPACKE_TYPE*)m_eivec.data(), lda, (LAPACKE_RTYPE*)m_eivalues.data() ); \
00071   m_info = (info==0) ? Success : NoConvergence; \
00072   m_isInitialized = true; \
00073   m_eigenvectorsOk = computeEigenvectors; \
00074   return *this; \
00075 }
00076 
00077 
00078 EIGEN_LAPACKE_EIG_SELFADJ(double,   double,                double, dsyev, ColMajor, LAPACK_COL_MAJOR)
00079 EIGEN_LAPACKE_EIG_SELFADJ(float,    float,                 float,  ssyev, ColMajor, LAPACK_COL_MAJOR)
00080 EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev, ColMajor, LAPACK_COL_MAJOR)
00081 EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float,  float,  cheev, ColMajor, LAPACK_COL_MAJOR)
00082 
00083 EIGEN_LAPACKE_EIG_SELFADJ(double,   double,                double, dsyev, RowMajor, LAPACK_ROW_MAJOR)
00084 EIGEN_LAPACKE_EIG_SELFADJ(float,    float,                 float,  ssyev, RowMajor, LAPACK_ROW_MAJOR)
00085 EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev, RowMajor, LAPACK_ROW_MAJOR)
00086 EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float,  float,  cheev, RowMajor, LAPACK_ROW_MAJOR)
00087 
00088 } // end namespace Eigen
00089 
00090 #endif // EIGEN_SAEIGENSOLVER_H
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