SparseArpack Entity Reference

Eigen analyses solver for sparse matrices based on ARPACK. More...

List of all members.

Libraries
Eigenvalues
	returns the eigenvalues after solving them
Eigenvectors
	returns the eigenvectors after solving them
MaxIterations
	returns m_maxIter
Precision
	returns the current precision
SetMaxIterations
	sets the max. number of allowed iterations in ARPACK
SetPrecision
	sets the precision of ARPACK
~SparseArpack
	destructor
Libraries

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Detailed Description

Eigen analyses solver for sparse matrices based on ARPACK.

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Member Function Documentation

given a generalized symmetric eigen problem, this method computes the largest eigenvalues using a shift-inverse transformation.

Parameters:

	A	the input matrix A (stiffness)
	B	the input matrix B (mass)
	solver	the solver object used for factorizing B
	number	the number of eigenvalues to be computed

Returns:

true if successful.

given a standard symmetric eigen problem, this method computes the largest eigenvalues using a shift-inverse transformation.

Parameters:

	A	the input matrix
	number	the number of eigenvalues to be computed

Returns:

true if successful.

given a generalized symmetric eigen problem, this method computes the smallest eigenvalues using a shift-inverse transformation.

Parameters:

	A	the input matrix A (stiffness)
	B	the input matrix B (mass)
	solver	the solver object used for factorizing A
	shift	the shifting parameter (lower bound)
	number	the number of eigenvalues to be computed

Returns:

true if successful.

given a standard symmetric eigen problem, this method computes the smallest eigenvalues using a shift-inverse transformation.

Parameters:

	A	the input matrix
	solver	the solver object used for factorizing A
	shift	the shifting parameter (lower bound)
	number	the number of eigenvalues to be computed

Returns:

true if successful.

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

• modules/tngmath/tngmath/sparsearpack.hpp