FSAI-based parallel mixed constraint preconditioners for saddle point problems arising in geomechanics

DOI10.1016/j.cam.2011.07.025zbMath1231.65062OpenAlexW1974793361MaRDI QIDQ645721

Luca Bergamaschi, Àngeles Martínez

Publication date: 10 November 2011

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2011.07.025

zbMATH Keywords

preconditioningparallel computingKrylov subspace methodscoupled consolidation

Mathematics Subject Classification ID

Preconditioners for iterative methods (65F08)

Related Items

Preconditioning for sparse linear systems at the dawn of the 21st century: history, current developments, and future perspectives ⋮ Banded target matrices and recursive FSAI for parallel preconditioning ⋮ RMCP: relaxed mixed constraint preconditioners for saddle point linear systems arising in geomechanics ⋮ The effect of graph partitioning techniques on parallel block FSAI preconditioning: a computational study

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