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


Detailed Description

Eigen analyses solver for sparse matrices based on ARPACK.

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.


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

Generated on Wed Nov 17 17:35:52 2010 for 'tngmath' Module Scripting Interface by  doxygen 1.5.6