An Approach to Making SPAI and PSAI Preconditioning Effective for Large Irregular Sparse Linear Systems
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Publication:2855649
DOI10.1137/120900800zbMath1362.65035arXiv1211.6866OpenAlexW2123700643MaRDI QIDQ2855649
Publication date: 28 October 2013
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1211.6866
preconditioningsparse approximate inverseSherman-Morrison-Woodbury formulaKrylov solverF-norm minimizationirregular sparseregular sparse
Computational methods for sparse matrices (65F50) Iterative numerical methods for linear systems (65F10) Preconditioners for iterative methods (65F08)
Related Items (3)
Robust dropping criteria for F-norm minimization based sparse approximate inverse preconditioning ⋮ A transformation approach that makes SPAI, PSAI and RSAI procedures efficient for large double irregular nonsymmetric sparse linear systems ⋮ A residual based sparse approximate inverse preconditioning procedure for large sparse linear systems
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