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// LOCA: Library of Continuation Algorithms Package
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#ifndef LOCA_EIGENSOLVER_ANASAZISTRATEGY_H
#define LOCA_EIGENSOLVER_ANASAZISTRATEGY_H
#include "LOCA_Eigensolver_AbstractStrategy.H" // base class
#include "Teuchos_ParameterList.hpp" // class element
#include "AnasaziOutputManager.hpp" // class element
#include "Anasazi_LOCA_Sort.H" // class element
// Forward declarations
namespace Teuchos {
class ParameterList;
}
namespace LOCA {
class GlobalData;
namespace Parameter {
class SublistParser;
}
}
namespace LOCA {
namespace Eigensolver {
//! Anasazi eigensolver strategy
/*!
* This class implements an eigensolver strategy using the generic
* Trilinos eigensolver package Anasazi. In particular, this strategy
* uses the Anasazi::BlockKrylovSchur solver. Since Anasazi is a generic
* solver, this strategy will work with any group implementation. This
* strategy references the following parameters passed through the
* \c eigenParams argument to the constructor (this list is passed
* directly to the Anasazi::BlockKrylovSchulSolMgr solver manager):
* <ul>
* <li> "Operator" -- [string] (default: "Jacobian inverse") Operator
* to compute eigenvalues of.
* <li> "Block Size" -- [int] (default: 1) Block size
* <li> "Num Blocks" -- [int] (default: 30) Maximum number of blocks
* (equals the maximum length of the Arnoldi factorization
* <li> "Num Eigenvalues" -- [int] (default: 4) Number of requested
* eigenvalues
* <li> "Convergence Tolerance" -- [double] (default: 1.0e-7) Tolerance
* for the converged eigenvalues
* <li> "Step Size" -- [int] (default: 1) Checks convergence
* every so many steps
* <li> "Maximum Restarts" -- [int] (default: 1) Number of restarts allowed
* <li> "Symmetric" -- [bool] (default: false) Is the operator symmetric
* <li> "Verbosity" -- [Anasazi::MsgType]
* (default: Anasazi::Errors+Anasazi::Warnings+Anasazi::FinalSummary)
* Verbosity level
* <li> "Sorting Order" -- [string" (default: "LM") Sorting order of
* printed eigenvalues
* </ul>
*/
class AnasaziStrategy : public LOCA::Eigensolver::AbstractStrategy {
public:
//! Constructor
/*!
* \param global_data [in] Global data object
* \param topParams [in] Parsed top-level parameter list. Used to
* obtain linear-solver parameters and to instantiate sorting strategy.
* \param eigenParams [in] %Eigensolver parameters as described above.
* solver.
*/
AnasaziStrategy(
const Teuchos::RCP<LOCA::GlobalData>& global_data,
const Teuchos::RCP<LOCA::Parameter::SublistParser>& topParams,
const Teuchos::RCP<Teuchos::ParameterList>& eigenParams);
//! Destructor
virtual ~AnasaziStrategy();
//! Compute eigenvalues/eigenvectors
/*!
* The implementation here the sets up and calls the Anasazi
* BlockKrylovSchur solver for computing eigenvalues.
*/
virtual NOX::Abstract::Group::ReturnType
computeEigenvalues(
NOX::Abstract::Group& group,
Teuchos::RCP< std::vector<double> >& evals_r,
Teuchos::RCP< std::vector<double> >& evals_i,
Teuchos::RCP< NOX::Abstract::MultiVector >& evecs_r,
Teuchos::RCP< NOX::Abstract::MultiVector >& evecs_i);
private:
//! Private to prohibit copying
AnasaziStrategy(const AnasaziStrategy&);
//! Private to prohibit copying
AnasaziStrategy& operator = (const AnasaziStrategy&);
protected:
//! Global data
Teuchos::RCP<LOCA::GlobalData> globalData;
//! Parsed parameter list
Teuchos::RCP<LOCA::Parameter::SublistParser> topParams;
//! Typedef to simplify templating
typedef NOX::Abstract::MultiVector MV;
//! Typedef to simplify templating
typedef LOCA::AnasaziOperator::AbstractStrategy OP;
//! Eigensolver parameter list
Teuchos::RCP<Teuchos::ParameterList> eigenParams;
//! Linear solver parameter list
Teuchos::RCP<Teuchos::ParameterList> solverParams;
//! The block size
int blksz;
//! The number of requested eigenvalues
int nev;
//! Is problem symmetric
bool isSymmetric;
}; // Class AnasaziStrategy
} // Namespace Eigensolver
} // Namespace LOCA
#endif
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