Anasazi
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This class is an abstract base class for Implicit Riemannian Trust-Region based eigensolvers. The class provides the interfaces shared by the IRTR solvers (e.g., getState() and initialize()) as well as the shared implementations (e.g., inner products). More...
#include <AnasaziRTRBase.hpp>
Public Member Functions | |
Constructor/Destructor | |
RTRBase (const Teuchos::RCP< Eigenproblem< ScalarType, MV, OP > > &problem, const Teuchos::RCP< SortManager< typename Teuchos::ScalarTraits< ScalarType >::magnitudeType > > &sorter, const Teuchos::RCP< OutputManager< ScalarType > > &printer, const Teuchos::RCP< StatusTest< ScalarType, MV, OP > > &tester, const Teuchos::RCP< GenOrthoManager< ScalarType, MV, OP > > &ortho, Teuchos::ParameterList ¶ms, const std::string &solverLabel, bool skinnySolver) | |
RTRBase constructor with eigenproblem, solver utilities, and parameter list of solver options. More... | |
virtual | ~RTRBase () |
RTRBase destructor More... | |
Solver methods | |
virtual void | iterate ()=0 |
This method performs RTR iterations until the status test indicates the need to stop or an error occurs (in which case, an exception is thrown). More... | |
void | initialize (RTRState< ScalarType, MV > &newstate) |
Initialize the solver to an iterate, optionally providing the Ritz values and residual. More... | |
void | initialize () |
Initialize the solver with the initial vectors from the eigenproblem or random data. More... | |
bool | isInitialized () const |
Indicates whether the solver has been initialized or not. More... | |
RTRState< ScalarType, MV > | getState () const |
Get the current state of the eigensolver. More... | |
Status methods | |
int | getNumIters () const |
Get the current iteration count. More... | |
void | resetNumIters () |
Reset the iteration count. More... | |
Teuchos::RCP< const MV > | getRitzVectors () |
Get the Ritz vectors from the previous iteration. More... | |
std::vector< Value< ScalarType > > | getRitzValues () |
Get the Ritz values from the previous iteration. More... | |
std::vector< int > | getRitzIndex () |
Get the index used for extracting Ritz vectors from getRitzVectors(). More... | |
std::vector< typename Teuchos::ScalarTraits < ScalarType >::magnitudeType > | getResNorms () |
Get the current residual norms. More... | |
std::vector< typename Teuchos::ScalarTraits < ScalarType >::magnitudeType > | getRes2Norms () |
Get the current residual 2-norms. More... | |
std::vector< typename Teuchos::ScalarTraits < ScalarType >::magnitudeType > | getRitzRes2Norms () |
Get the 2-norms of the Ritz residuals. More... | |
int | getCurSubspaceDim () const |
Get the dimension of the search subspace used to generate the current eigenvectors and eigenvalues. More... | |
int | getMaxSubspaceDim () const |
Get the maximum dimension allocated for the search subspace. For RTR, this always returns getBlockSize(). More... | |
Accessor routines from Eigensolver | |
void | setStatusTest (Teuchos::RCP< StatusTest< ScalarType, MV, OP > > test) |
Set a new StatusTest for the solver. More... | |
Teuchos::RCP< StatusTest < ScalarType, MV, OP > > | getStatusTest () const |
Get the current StatusTest used by the solver. More... | |
const Eigenproblem< ScalarType, MV, OP > & | getProblem () const |
Get a constant reference to the eigenvalue problem. More... | |
void | setBlockSize (int blockSize) |
Set the blocksize to be used by the iterative solver in solving this eigenproblem. More... | |
int | getBlockSize () const |
Get the blocksize to be used by the iterative solver in solving this eigenproblem. More... | |
void | setAuxVecs (const Teuchos::Array< Teuchos::RCP< const MV > > &auxvecs) |
Set the auxiliary vectors for the solver. More... | |
Teuchos::Array< Teuchos::RCP < const MV > > | getAuxVecs () const |
Get the current auxiliary vectors. More... | |
Output methods | |
virtual void | currentStatus (std::ostream &os) |
This method requests that the solver print out its current status to screen. More... | |
Public Member Functions inherited from Anasazi::Eigensolver< ScalarType, MV, OP > | |
Eigensolver () | |
Default Constructor. More... | |
Eigensolver (const Teuchos::RCP< Eigenproblem< ScalarType, MV, OP > > &problem, const Teuchos::RCP< SortManager< ScalarType > > &sorter, const Teuchos::RCP< OutputManager< ScalarType > > &printer, const Teuchos::RCP< StatusTest< ScalarType, MV, OP > > &tester, const Teuchos::RCP< OrthoManager< ScalarType, MV > > &ortho, Teuchos::ParameterList ¶ms) | |
Basic Constructor. More... | |
virtual | ~Eigensolver () |
Destructor. More... | |
This class is an abstract base class for Implicit Riemannian Trust-Region based eigensolvers. The class provides the interfaces shared by the IRTR solvers (e.g., getState() and initialize()) as well as the shared implementations (e.g., inner products).
IRTR eigensolvers are capable of solving symmetric/Hermitian eigenvalue problems. These solvers may be used to compute either the leftmost (smallest real, "SR") or rightmost (largest real, "LR") eigenvalues. For more information, see the publications at the RTR eigensolvers page.
This class is abstract and objects cannot be instantiated. Instead, instantiate one of the concrete derived classes: IRTR and SIRTR, the caching and non-caching implementations of this solver. The main difference between these solver is the memory allocated by the solvers in support of the IRTR iteration.
The reduction in memory usage is effected by eliminating the caching of operator applications. This also results in a reduction in vector arithmetic required to maintain these caches. The cost is an increase in the number of operator applications. For inexpensive operator applications, SIRTR should provide better performance over IRTR. As the operator applications becomes more expensive, the performance scale tips towards the IRTR solver. Note, the trajectory of both solvers is identical in exact arithmetic. However, the effects of round-off error in the cached results mean that some difference between the solvers may exist. This effect is seen when a large number of iterations are required to solve the trust-region subproblem in solveTRSubproblem(). Also note, the inclusion of auxiliary vectors increases the memory requirements of these solvers linearly with the number of auxiliary vectors. The required storage is listed in the following table:
Number of vectors (bS == blockSize()) | ||||
Solver | Base requirement | Generalized/B != null | Preconditioned | Generalized and Preconditioned |
IRTR | 10*bS | 11*bS | 12*bS | 13*bS |
SIRTR | 6*bS | 7*bS | 7*bS | 8*bS |
Definition at line 170 of file AnasaziRTRBase.hpp.
Anasazi::RTRBase< ScalarType, MV, OP >::RTRBase | ( | const Teuchos::RCP< Eigenproblem< ScalarType, MV, OP > > & | problem, |
const Teuchos::RCP< SortManager< typename Teuchos::ScalarTraits< ScalarType >::magnitudeType > > & | sorter, | ||
const Teuchos::RCP< OutputManager< ScalarType > > & | printer, | ||
const Teuchos::RCP< StatusTest< ScalarType, MV, OP > > & | tester, | ||
const Teuchos::RCP< GenOrthoManager< ScalarType, MV, OP > > & | ortho, | ||
Teuchos::ParameterList & | params, | ||
const std::string & | solverLabel, | ||
bool | skinnySolver | ||
) |
RTRBase constructor with eigenproblem, solver utilities, and parameter list of solver options.
The RTRBase class is abstract and cannot be instantiated; this constructor is called by derived classes IRTR and RTR.
Definition at line 576 of file AnasaziRTRBase.hpp.
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RTRBase destructor
Definition at line 191 of file AnasaziRTRBase.hpp.
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pure virtual |
This method performs RTR iterations until the status test indicates the need to stop or an error occurs (in which case, an exception is thrown).
iterate() will first determine whether the solver is initialized; if not, it will call initialize() using default arguments. After initialization, the solver performs RTR iterations until the status test evaluates as Passed, at which point the method returns to the caller.
The RTR iteration proceeds as follows:
X
is solved for update Eta
via a call to solveTRSubproblem()X+Eta
The status test is queried at the beginning of the iteration.
Possible exceptions thrown include std::logic_error, std::invalid_argument or one of the RTR-specific exceptions.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Implemented in Anasazi::IRTR< ScalarType, MV, OP >, and Anasazi::SIRTR< ScalarType, MV, OP >.
void Anasazi::RTRBase< ScalarType, MV, OP >::initialize | ( | RTRState< ScalarType, MV > & | newstate | ) |
Initialize the solver to an iterate, optionally providing the Ritz values and residual.
The RTR eigensolver contains a certain amount of state relating to the current iterate.
initialize() gives the user the opportunity to manually set these, although this must be done with caution, abiding by the rules given below. All notions of orthogonality and orthonormality are derived from the inner product specified by the orthogonalization manager.
The user has the option of specifying any component of the state using initialize(). However, these arguments are assumed to match the post-conditions specified under isInitialized(). Any component of the state (i.e., AX) not given to initialize() will be generated.
If the Ritz values relative to newstate.X
are passed in newstate.T
, then newstate.X
is assume to contain Ritz vectors, i.e., newstate.T
must be B-orthonormal and it must partially diagonalize A.
Definition at line 1039 of file AnasaziRTRBase.hpp.
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Initialize the solver with the initial vectors from the eigenproblem or random data.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1403 of file AnasaziRTRBase.hpp.
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Indicates whether the solver has been initialized or not.
true:
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1749 of file AnasaziRTRBase.hpp.
RTRState< ScalarType, MV > Anasazi::RTRBase< ScalarType, MV, OP >::getState | ( | ) | const |
Get the current state of the eigensolver.
The data is only valid if isInitialized() == true
.
Definition at line 1731 of file AnasaziRTRBase.hpp.
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Get the current iteration count.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1725 of file AnasaziRTRBase.hpp.
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Reset the iteration count.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1719 of file AnasaziRTRBase.hpp.
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Get the Ritz vectors from the previous iteration.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1713 of file AnasaziRTRBase.hpp.
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Get the Ritz values from the previous iteration.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1701 of file AnasaziRTRBase.hpp.
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Get the index used for extracting Ritz vectors from getRitzVectors().
Because BlockDavidson is a Hermitian solver, all Ritz values are real and all Ritz vectors can be represented in a single column of a multivector. Therefore, getRitzIndex() is not needed when using the output from getRitzVectors().
int
vector of size getCurSubspaceDim() composed of zeros. Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1755 of file AnasaziRTRBase.hpp.
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Get the current residual norms.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1416 of file AnasaziRTRBase.hpp.
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Get the current residual 2-norms.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1430 of file AnasaziRTRBase.hpp.
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Get the 2-norms of the Ritz residuals.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1692 of file AnasaziRTRBase.hpp.
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Get the dimension of the search subspace used to generate the current eigenvectors and eigenvalues.
RTR employs a sequential subspace iteration, maintaining a fixed-rank basis, as opposed to an expanding subspace mechanism employed by Krylov-subspace solvers like BlockKrylovSchur and BlockDavidson.
false
, the return is 0. Otherwise, the return will be getBlockSize(). Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1684 of file AnasaziRTRBase.hpp.
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Get the maximum dimension allocated for the search subspace. For RTR, this always returns getBlockSize().
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1679 of file AnasaziRTRBase.hpp.
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Set a new StatusTest for the solver.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 947 of file AnasaziRTRBase.hpp.
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Get the current StatusTest used by the solver.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 957 of file AnasaziRTRBase.hpp.
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Get a constant reference to the eigenvalue problem.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1674 of file AnasaziRTRBase.hpp.
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Set the blocksize to be used by the iterative solver in solving this eigenproblem.
If the block size is reduced, then the new iterate (and residual and search direction) are chosen as the subset of the current iterate preferred by the sort manager. Otherwise, the solver state is set to uninitialized.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 672 of file AnasaziRTRBase.hpp.
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Get the blocksize to be used by the iterative solver in solving this eigenproblem.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1669 of file AnasaziRTRBase.hpp.
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Set the auxiliary vectors for the solver.
Because the current iterate X cannot be assumed orthogonal to the new auxiliary vectors, a call to setAuxVecs() with a non-empty argument will reset the solver to the uninitialized state.
In order to preserve the current state, the user will need to extract it from the solver using getState(), orthogonalize it against the new auxiliary vectors, and manually reinitialize the solver using initialize().
NOTE: The requirements of the IRTR solvers is such that the auxiliary vectors must be moved into contiguous storage with the current iterate. As a result, the multivector data in auxvecs
will be copied, and the multivectors in auxvecs
will no longer be referenced. The (unchanged) internal copies of the auxilliary vectors will be made available to the caller by the getAuxVecs() routine. This allows the caller to delete the caller's copies and instead use the copies owned by the solver, avoiding the duplication of data. This is not necessary, however. The partitioning of the auxiliary vectors passed to setAuxVecs() will be preserved.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 965 of file AnasaziRTRBase.hpp.
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Get the current auxiliary vectors.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Definition at line 1664 of file AnasaziRTRBase.hpp.
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This method requests that the solver print out its current status to screen.
Implements Anasazi::Eigensolver< ScalarType, MV, OP >.
Reimplemented in Anasazi::IRTR< ScalarType, MV, OP >, and Anasazi::SIRTR< ScalarType, MV, OP >.
Definition at line 1561 of file AnasaziRTRBase.hpp.