Block jacobi preconditioning of the conjugate gradient method on a vector processor

DOI10.1080/00207169208804096zbMath0758.65025OpenAlexW2083380483MaRDI QIDQ4021057

Markus Hegland, Paul E. Saylor

Publication date: 17 January 1993

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207169208804096

zbMATH Keywords

numerical examplespreconditioned conjugate gradient methodvector processorpoint/block Jacobi preconditioner

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Numerical computation of matrix norms, conditioning, scaling (65F35) Parallel numerical computation (65Y05)

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Cites Work

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• Implementation of an adaptive algorithm for Richardson's method
• Necessary and sufficient conditions for the simplification of generalized conjugate-gradient algorithms
• Generalized conjugate-gradient acceleration of nonsymmetrizable iterative methods
• QMR: A quasi-minimal residual method for non-Hermitian linear systems
• A Taxonomy for Conjugate Gradient Methods
• Necessary and Sufficient Conditions for the Existence of a Conjugate Gradient Method
• GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems

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