Some new developments of conjugation-based sparse approximate inverse preconditioners are considered in application to problems of solid and structural mechanics. A block version of the AINV algorithm and its stabilized modification are presented. The stabilized AINV algorithm, which in exact arithmetic is breakdown-free for any SPD matrix, is found to result in robust preconditioners even in difficult thin shell applications. © ECCOMAS.

On some new developments in approximate inverse preconditioning

Benzi, Michele;
2000

Abstract

Some new developments of conjugation-based sparse approximate inverse preconditioners are considered in application to problems of solid and structural mechanics. A block version of the AINV algorithm and its stabilized modification are presented. The stabilized AINV algorithm, which in exact arithmetic is breakdown-free for any SPD matrix, is found to result in robust preconditioners even in difficult thin shell applications. © ECCOMAS.
2000
European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000
Barcelona, esp
2000
European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000
8489925704
Block algorithms; Conjugate gradient; Factorized sparse approximate inverses; Finite elements; Preconditioning; Artificial Intelligence; Applied Mathematics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/75309
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