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21 lines
905 B
Text
21 lines
905 B
Text
LASPack (version 1.12.2)
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LASPack is a package for solving large sparse systems of linear equations
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like those which arise from discretization of partial differential equations.
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Main features:
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- The primary aim of LASPack is the implementation of efficient iterative
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methods for the solution of systems of linear equations.
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- Beside the obligatory Jacobi, succesive over-relaxation, Chebyshev, and
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conjugate gradient solvers, LASPack contains selected state-of-the-art
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algorithms which are commonly used for large sparse systems:
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- CG-like methods for non-symmetric systems: CGN, GMRES, BiCG, QMR, CGS, and
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BiCGStab,
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- multilevel methods such as multigrid and conjugate gradient method
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preconditioned by multigrid and BPX preconditioners.
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A complete description of the package (including the installation procedure)
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you may find in LASPack Reference Manual:
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