A Combination of Algebraic Multigrid Algorithms with the Conjugate Gradient Technique

Qianshun Chang () and Zhaohui Huang ()
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Qianshun Chang: Chinese Academy of Sciences, Academy of Mathematics and System Sciences
Zhaohui Huang: Chinese Academy of Sciences, Academy of Mathematics and System Sciences

A chapter in Recent Progress in Computational and Applied PDES, 2002, pp 101-111 from Springer

Abstract: Abstract In this paper, conjugate gradient acceleration of algebraic multigrid methods (AMGCG) is described. Theoretical analysis and numerical experiments demonstrate that iterant recombination increases the efficiency and robustness of algebraic multigrid methods. To judge the performance of AMGCG, we not only focus on its convergence behavior, but also take both computing times and memory requirement into account.

Keywords: algebraic multigrid; preconditioned conjugate gradient; iterant recombination; convergence (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-0113-8_6

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DOI: 10.1007/978-1-4615-0113-8_6

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