Description:

LASPack is a package for solving large sparse systems of linear
equations like those which arise from discretization of partial
differential equations. The primary aim of LASPack is the implementation
of efficient iterative methods for the solution of systems of linear
equations.
Beside the obligatory Jacobi, succesive over-relaxation,
Chebyshev, and conjugate gradient solvers, LASPack contains selected
state-of-the-art algorithms which are commonly used for large sparse
systems:
- CG-like methods for non-symmetric systems: CGN, GMRES, BiCG, QMR,
CGS, and BiCGStab,
- multilevel methods such as multigrid and conjugate gradient method
preconditioned by multigrid and BPX preconditioners.
These algorithms are described in
http://www.netlib.org/linalg/html_templates/Templates.html
LASPack is written in ANSI C and is thus largely portable.