Laspack

Package for solving large sparse systems of linear equations

                    LASPack version 1.12.2

LASPack is a package for solving large sparse systems of linear equations like those which arise from discretization of partial differential equations.

Main features

• 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.

A complete description of the package including the installation procedure you may find in LASPack Reference Manual

WWW http//www.mgnet.org/mgnet/Codes/laspack/html/laspack.html