class for solving a general eigenproblem with parameter T (double or complex) More...
#include <VirtualEigenvalueSolver.hxx>
Public Types | |
| typedef ClassComplexType< T >::Tcplx | Tcplx |
| typedef ClassComplexType< T >::Treal | Treal |
| enum | { SMALL_EIGENVALUES, LARGE_EIGENVALUES, CENTERED_EIGENVALUES } |
| parts of the spectrum (near from 0, at infinity or around a given value) More... | |
| enum | { SORTED_REAL, SORTED_IMAG, SORTED_MODULUS, SORTED_USER } |
| different sorting strategies | |
Public Member Functions | |
| GeneralEigenProblem () | |
| default constructor | |
| T | GetShiftValue () const |
| returns the shift value used More... | |
| T | GetImagShiftValue () const |
| returns the imaginary part of shift value used More... | |
| void | SetShiftValue (const T &) |
| Sets the real part of shift value. | |
| void | SetImagShiftValue (const T &) |
| Sets the imaginary part of shift value. | |
| void | GetComplexShift (const Treal &, const Treal &, Tcplx &) const |
| forms the complex shift from real and imaginary part | |
| void | GetComplexShift (const Tcplx &, const Tcplx &, Tcplx &) const |
| forms the complex shift from real and imaginary part | |
| void | SetTypeSpectrum (int type, const T &val, int type_sort=SORTED_MODULUS) |
| sets which eigenvalues are searched More... | |
| void | SetTypeSpectrum (int type, const complex< T > &val, int type_sort=SORTED_MODULUS) |
| sets which eigenvalues are searched More... | |
| void | SetUserComparisonClass (EigenvalueComparisonClass< T > *ev) |
| sets the class where two eigenvalues can be compared | |
| void | FillComplexEigenvectors (int m, const Tcplx &Emid, Treal eps, const Vector< Tcplx > &lambda_cplx, const Matrix< Tcplx, General, ColMajor > &Ecplx, Vector< T > &Lr, Vector< T > &Li, Matrix< T, General, ColMajor > &E) |
| virtual void | DistributeEigenvectors (Matrix< T, General, ColMajor > &eigen_vec) |
| changes final eigenvectors if needed | |
| void | FillComplexEigenvectors (int m, const complex< double > &Emid, double eps, const Vector< complex< double > > &lambda_cplx, const Matrix< complex< double >, General, ColMajor > &Ecplx, Vector< double > &Lr, Vector< double > &Li, Matrix< double, General, ColMajor > &E) |
| Fills arrays Lr, Li (eigenvalues) and E (eigenvectors) from complex eigenvectors. More... | |
| void | FillComplexEigenvectors (int m, const complex< double > &Emid, double eps, const Vector< complex< double > > &lambda_cplx, const Matrix< complex< double >, General, ColMajor > &Ecplx, Vector< complex< double > > &Lr, Vector< complex< double > > &Li, Matrix< complex< double >, General, ColMajor > &E) |
| Fills arrays Lr, Li (eigenvalues) and E (eigenvectors) from complex eigenvectors. | |
| int | GetRankCommunicator () const |
| returns rank for the solver communicator | |
| int | GetGlobalRankCommunicator () const |
| returns rank for the global communicator | |
| int | GetNbAskedEigenvalues () const |
| returns the number of eigenvalues asked by the user | |
| void | SetNbAskedEigenvalues (int n) |
| sets the number of eigenvalues to compute | |
| int | GetTypeSpectrum () const |
| returns the spectrum desired (large, small eigenvalues, etc) | |
| int | GetTypeSorting () const |
| returns how eigenvalues are sorted (real, imaginary part or modulus) | |
| void | SetStoppingCriterion (double eps) |
| modifies the stopping critertion | |
| double | GetStoppingCriterion () const |
| returns the stopping criterion | |
| void | SetNbMaximumIterations (int n) |
| sets the maximal number of iterations allowed for the iterative algorithm | |
| int | GetNbMaximumIterations () const |
| returns the maximal number of iterations allowed for the iterative algorithm | |
| int | GetNbMatrixVectorProducts () const |
| returns the number of matrix-vector products performed since last call to Init | |
| int | GetNbArnoldiVectors () const |
| returns the number of Arnoldi vectors to use | |
| void | SetNbArnoldiVectors (int n) |
| sets the number of Arnoldi vectors to use | |
| int | GetM () const |
| returns number of rows | |
| int | GetGlobalM () const |
| returns global number of rows | |
| int | GetN () const |
| returns number of columns | |
| int | GetPrintLevel () const |
| returns level of verbosity | |
| void | SetPrintLevel (int lvl) |
| sets the level of verbosity | |
| void | IncrementProdMatVect () |
| increment of the number of matrix vector products | |
| int | GetNbLinearSolves () const |
| returns the number of linear solves | |
| void | IncrementLinearSolves () |
| increments the number of linear solves | |
| void | Init (int n) |
| initialisation of the size of the eigenvalue problem | |
| virtual bool | IsSymmetricProblem () const |
| virtual bool | IsHermitianProblem () const |
Protected Attributes | |
| T | shift |
| shift sigma (if type_spectrum = centered_eigenvalues) | |
| T | shift_imag |
| EigenvalueComparisonClass< T > * | compar_eigenval |
| class for comparing eigenvalues | |
| int | nb_eigenvalues_wanted |
| number of eigenvalues to be computed | |
| int | nb_arnoldi_vectors |
| number of Arnoldi vectors | |
| bool | automatic_selection_arnoldi_vectors |
| if true nb_arnoldi_vectors is automatically computed | |
| int | type_spectrum_wanted |
| which spectrum ? Near from Zero ? Near from Infinity ? or near from a value ? | |
| int | type_sort_eigenvalues |
| large eigenvalues because of their real part, imaginary part or magnitude ? | |
| double | stopping_criterion |
| threshold for Arpack's iterative process | |
| int | nb_maximum_iterations |
| Maximal number of iterations. | |
| int | nb_linear_solves |
| number of linear solves | |
| int | display_every |
| int | print_level |
| int | nb_prod |
| number of matrix-vector products | |
| int | n_ |
| size of the problem | |
| int | nglob |
class for solving a general eigenproblem with parameter T (double or complex)
Definition at line 349 of file VirtualEigenvalueSolver.hxx.
|
inherited |
parts of the spectrum (near from 0, at infinity or around a given value)
SMALL_EIGENVALUES : seeking eigenvalues near 0 LARGE_EIGENVALUES : seeking largest eigenvalues CENTERED_EIGENVALUES : seeking eigenvalues near the shift sigma
Definition at line 245 of file VirtualEigenvalueSolver.hxx.
| void Seldon::GeneralEigenProblem< double >::FillComplexEigenvectors | ( | int | m, |
| const complex< double > & | Emid, | ||
| double | eps, | ||
| const Vector< complex< double > > & | lambda_cplx, | ||
| const Matrix< complex< double >, General, ColMajor > & | Ecplx, | ||
| Vector< double > & | Lr, | ||
| Vector< double > & | Li, | ||
| Matrix< double, General, ColMajor > & | E | ||
| ) |
Fills arrays Lr, Li (eigenvalues) and E (eigenvectors) from complex eigenvectors.
Lapack convention is used, a complex eigenvector is stored with two columns (real and imaginary part)
Definition at line 633 of file VirtualEigenvalueSolver.cxx.
| T Seldon::GeneralEigenProblem< T >::GetImagShiftValue |
returns the imaginary part of shift value used
If type_spectrum_wanted is set to CENTERED_EIGENVALUES, we search closest eigenvalues to the shift value. Matrix (A - (shift + i shift_imag)*I)^{-1} will be used instead of A shift_imag is accessed only for real unsymmetric problems
Definition at line 497 of file VirtualEigenvalueSolver.cxx.
| T Seldon::GeneralEigenProblem< T >::GetShiftValue |
returns the shift value used
If type_spectrum_wanted is set to CENTERED_EIGENVALUES, we search closest eigenvalues to the shift value. Matrix (A - (shift + i shift_imag)*I)^{-1} will be used instead of A
Definition at line 483 of file VirtualEigenvalueSolver.cxx.
| void Seldon::GeneralEigenProblem< T >::SetTypeSpectrum | ( | int | type, |
| const complex< T > & | val, | ||
| int | type_sort = SORTED_MODULUS |
||
| ) |
sets which eigenvalues are searched
You can ask small eigenvalues, large, or eigenvalues close to the shift.
Definition at line 559 of file VirtualEigenvalueSolver.cxx.
| void Seldon::GeneralEigenProblem< T >::SetTypeSpectrum | ( | int | type, |
| const T & | val, | ||
| int | type_sort = SORTED_MODULUS |
||
| ) |
sets which eigenvalues are searched
You can ask small eigenvalues, large, or eigenvalues close to the shift.
Definition at line 544 of file VirtualEigenvalueSolver.cxx.