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=over 4


=item * 

C<< $matrix->jacobi($constant,$guess, $tol,  $steps) >>

Uses Jacobi iteration to find and return the solution to the
system of equations $matrix * x = $constant, with initial guess
$constant, tolerance $tol,  and maximum iterations $steps.

If $steps is undefined, the default value of 100 is used.

Care should be taken to ensure that $matrix is such that the 
iteration actually converges.

=item * 

C<< $matrix->gaussseidel($constant,$guess,  $tol,  $steps) >>

Uses Gauss-Seidel iteration to find and return the solution to the
system of equations $matrix * x = $constant, with initial guess
$constant, tolerance $tol, and maximum
iterations $steps. This is equivalent to $matrix->SOR with 
relaxation parameter 1.  

Care should be taken to ensure that $matrix is such that the 
iteration actually converges.  

=item * 

C<< $matrix->SOR($constant,$guess, $relax, $tol,  $steps) >>

Uses Successive Over-Relaxation to find and return the solution to the
system of equations $matrix * x = $constant, with initial guess
$constant, relaxation parameter $relax, tolerance $tol, and maximum
iterations $steps.

Care should be taken to ensure that $matrix is such that the 
iteration actually converges.  

=back

=head2 SORTING METHODS

=over 4