GenEigsRealShiftSolver< Scalar, SelectionRule, OpType > Class Template Reference

#include <GenEigsSolver.h>

Inheritance diagram for GenEigsRealShiftSolver< Scalar, SelectionRule, OpType >:

Public Member Functions
	GenEigsRealShiftSolver (OpType *op_, int nev_, int ncv_, Scalar sigma_)
Public Member Functions inherited from GenEigsSolver< Scalar, SelectionRule, OpType >
	GenEigsSolver (OpType *op_, int nev_, int ncv_)
void	init (const Scalar *init_resid)
void	init ()
int	compute (int maxit=1000, Scalar tol=1e-10)
int	num_iterations ()
int	num_operations ()
ComplexVector	eigenvalues ()
ComplexMatrix	eigenvectors ()

Detailed Description

template<typename Scalar = double, int SelectionRule = LARGEST_MAGN, typename OpType = DenseGenRealShiftSolve<double>>
class GenEigsRealShiftSolver< Scalar, SelectionRule, OpType >

This class implements the eigen solver for general real matrices with a real shift value in the shift-and-invert mode. The background knowledge of the shift-and-invert mode can be found in the documentation of the SymEigsShiftSolver class.

Template Parameters

Scalar	The element type of the matrix. Currently supported types are float, double and long double.
SelectionRule	An enumeration value indicating the selection rule of the shifted-and-inverted eigenvalues. The full list of enumeration values can be found in SelectionRule.h .
OpType	The name of the matrix operation class. Users could either use the DenseGenRealShiftSolve wrapper class, or define their own that impelemnts all the public member functions as in DenseGenRealShiftSolve.

Definition at line 558 of file GenEigsSolver.h.

Constructor & Destructor Documentation

template<typename Scalar = double, int SelectionRule = LARGEST_MAGN, typename OpType = DenseGenRealShiftSolve<double>>

GenEigsRealShiftSolver< Scalar, SelectionRule, OpType >::GenEigsRealShiftSolver ( OpType *  op_, int  nev_, int  ncv_, Scalar  sigma_  )

inline

Constructor to create a eigen solver object using the shift-and-invert mode.

Parameters

op_	Pointer to the matrix operation object. This class should implement the shift-solve operation of \(A\): calculating \((A-\sigma I)^{-1}y\) for any vector \(y\). Users could either create the object from the DenseGenRealShiftSolve wrapper class, or define their own that impelemnts all the public member functions as in DenseGenRealShiftSolve.
nev_	Number of eigenvalues requested. This should satisfy \(1\le nev \le n-2\), where \(n\) is the size of matrix.
ncv_	Parameter that controls the convergence speed of the algorithm. Typically a larger ncv_ means faster convergence, but it may also result in greater memory use and more matrix operations in each iteration. This parameter must satisfy \(nev+2 \le ncv \le n\), and is advised to take \(ncv \ge 2\cdot nev + 1\).
sigma_	The real-valued shift.

Definition at line 594 of file GenEigsSolver.h.

---

The documentation for this class was generated from the following file:

• GenEigsSolver.h