Vector Computations for Sparse Linear Systems

DOI10.1137/0607012zbMath0609.65020OpenAlexW2091662711MaRDI QIDQ3750028

David M. Young, Thomas C. Oppe, David R. Kincaid

Publication date: 1986

Published in: SIAM Journal on Algebraic Discrete Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/0607012

zbMATH Keywords

large sparse systemsparallel computationsnumerical softwarevector computerssubroutine packageITPACK 2C

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Iterative numerical methods for linear systems (65F10) Theory of operating systems (68N25) Software, source code, etc. for problems pertaining to linear algebra (15-04) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22)

Related Items (5)

An overview of NSPCG: A nonsymmetric preconditioned conjugate gradient package ⋮ A brief review of the ITPACK project ⋮ A multicolour SOR method for the finite-element method ⋮ Optimum acceleration factors for iterative solution of linear and nonlinear differential systems ⋮ Incomplete block matrix factorization preconditioning methods. The ultimate answer?

Uses Software

• ITPACK
• ELLPACK
• YSMP

Cites Work

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• Approximating the inverse of a matrix for use in iterative algorithms on vector processors
• Polynomial Preconditioners for Conjugate Gradient Calculations
• Algorithm 586: ITPACK 2C: A FORTRAN Package for Solving Large Sparse Linear Systems by Adaptive Accelerated Iterative Methods
• An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix

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