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SparseSymSolver Class Reference
[SparseMatrixAnalysis]

A subclass of class LinearSolver dedicated to solving sparse symmetric systems. More...

#include <SparseSymSolver.hh>

Inheritance diagram for SparseSymSolver:

List of all members.

Public Methods
virtual void	solve (IotrVector &b)
	solve the linear system
virtual void	matrixChanged ()
	inform the solver that the matrix of the system has changed.
virtual void	inertia (int &npos, int &nneg, int &nzero) const
virtual int	isSingular () const
double	thresholdPivoting ()
	the Threshold Pivoting parameter, stored as U in the ma27dd common block.
double	treatAsZero ()
	the "Treat As Zero" parameter, stored as pivtol in the common block ma27td.
Protected Attributes
SimpleArrayDataHandle	mFactorization
	mFactorization will store the factorization of mMat.
SparseSymMatrixHandle	mMat
	mMat represents a matrix which is to be factored and used to solve linear systems.
int	mSize
	mSize = max number of nonzeros in mMat.
int	mN
	mN = size of mMat, mNz = actual number of nonzeros.
int	mNz
	mN = size of mMat, mNz = actual number of nonzeros.
int *	irow
	Contains details of block structure in factorization.
int *	jcol
	Contains details of block structure in factorization.

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Detailed Description

A subclass of class LinearSolver dedicated to solving sparse symmetric systems.

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Member Function Documentation

virtual void SparseSymSolver::matrixChanged (    )  [virtual]

inform the solver that the matrix of the system has changed. The solver may wish to refactor the system, or perform other bookeeping. Implements LinearSolver.

virtual void SparseSymSolver::solve (  IotrVector &    b )  [virtual]

solve the linear system Parameters: b  on entry the rhs of the system, on exit the solution. Implements LinearSolver.

double SparseSymSolver::thresholdPivoting (    )  [inline]

the Threshold Pivoting parameter, stored as U in the ma27dd common block. Takes values in the range [0,1]. Larger values enforce greater stability in the factorization as they insist on larger pivots. Smaller values preserve sparsity at the cost of using smaller pivots.

double SparseSymSolver::treatAsZero (    )  [inline]

the "Treat As Zero" parameter, stored as pivtol in the common block ma27td. The factorization will not accept a pivot whose absolute value is less than this parameter as a 1x1 pivot or as the off-diagonal in a 2x2 pivot.

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

• SparseSymSolver.hh

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