May 26, 2018
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.
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