ML_Anasazi Namespace Reference

ML_Anasazi: default namespace for all Anasazi interfaces. More...

Functions
int	Interface (const Epetra_RowMatrix *RowMatrix, Epetra_MultiVector &EigenVectors, double RealEigenvalues[], double ImagEigenvalues[], Teuchos::ParameterList &List, double RealEigenvectors[]=0, double ImagEigenvectors[]=0, int *NumRealEigenvectors=0, int *NumImagEigenvectors=0, ML *ml=0)
	Interface to Anasazi to eigen-computations.
int	GetFieldOfValuesBox (const Epetra_RowMatrix *RowMatrix, double &MaxReal, double &MaxImag, Teuchos::ParameterList &AnasaziList)
	Computes the size of a box containing the field of values.

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Detailed Description

ML_Anasazi: default namespace for all Anasazi interfaces.

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Function Documentation

int Interface (  const Epetra_RowMatrix *  RowMatrix, Epetra_MultiVector &  EigenVectors, double  RealEigenvalues[], double  ImagEigenvalues[], Teuchos::ParameterList &  List, double  RealEigenvectors[] = 0, double  ImagEigenvectors[] = 0, int *  NumRealEigenvectors = 0, int *  NumImagEigenvectors = 0, ML *  ml = 0 )

Interface to Anasazi to eigen-computations. This function creates an interface from an Epetra_RowMatrix and Anasazi. Parameters are specified using a Teuchos parameters list. Parameters: RowMatrix  (In) : Epetra_RowMatrix; EigenVectors  (Out) : Epetra_MultiVectors, that will contain the requested eigenvectors; RealEigenvalues  (Out) : double array that will contain the real part of the computed eigenvalues; ImagEigenvalues  (Out) : double array that will contain the imaginary part of the computed eigenvalues; RealEigenvectors  (Out) : pointer to allocated space to store the real eigenvectors ImagEigenvectors  (Out) : pointer to allocated space to store the imaginary eigenvectors NumRealEigenvectors  (Out) : number of computed real eigenvectors NumImagEigenvectors  (Out) : number of computed imaginary eigenvectors List  (InOut) : Teuchos parameters' list containing the required options. ml  (In) : already filled ML hierarchy (only for the eigen-analysis of "I-ML^{-1}A"). The following parameters parsed from List: "eigen-analysis: use diagonal scaling". Enables scaling by the diagonal. Default: true. "eigen-analysis: symmetric problem" . Instructs Anasazi to use an algorithm for symmetric problems. Default: false. "eigen-analysis: matrix operation". Defined the matrix-vector product. Possible values are: "A" "I-A" "A+A^T" "A-A^T" "I-ML^{-1}A" (this defines no scaling, and "eigen-analysis: symmetric problem" = false. Default: "A" "eigen-analysis: length", 20) "eigen-analysis: block-size", 1) "eigen-analysis: tolerance", 1.0e-5) "eigen-analysis: action", "LM" "eigen-analysis: restart", 100) "eigen-analysis: output". Defined the output level, from 0 to 10 (1- being verbose).

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