Abstract
It was proposed that a robust and efficient parallelizable preconditioner for solving general sparse linear systems of equations, in which the use of sparse approximate inverse (AINV) techniques in a multi-level block ILU (BILUM) preconditioner were investigated. The resulting preconditioner retains robustness of BILUM preconditioner and has two advantages over the standard BILUM preconditoner: the ability to control sparsity and increased parallelism. Numerical experiments are used to show the effectiveness and efficiency of the new preconditioner.
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Communicated by WU Qi-guang, Original Member of Editorial Committee, AMM
Foundation items: the National Natural Science Foundation of China (60373015); the State Hi-Tech Research and Development Program of China (2001AA111043); the Foundation of State Key Laboratory of Computational Physics
Biography: GU Tong-xiang (1964≈)
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Tong-xiang, G., Xue-bin, C. & Xing-ping, L. Ainv and bilum preconditioning techniques. Appl Math Mech 25, 1012–1021 (2004). https://doi.org/10.1007/BF02438350
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DOI: https://doi.org/10.1007/BF02438350