Low-rank correction methods for algebraic domain decomposition preconditioners

Abstract

This paper presents a parallel preconditioning method for distributed sparse linear systems, based on an approximate inverse of the original matrix, that adopts a general framework of distributed sparse matrices and exploits the domain decomposition method and low-rank corrections. The domain decomposition approach decouples the matrix and once inverted, a… (More)
DOI: 10.1137/16M110486X

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