Schur complement‐based domain decomposition preconditioners with low‐rank corrections
Schur complement‐based domain decomposition preconditioners with low‐rank corrections
Summary This paper introduces a robust preconditioner for general sparse matrices based on low‐rank approximations of the Schur complement in a Domain Decomposition framework. In this ‘Schur Low Rank’ preconditioning approach, the coefficient matrix is first decoupled by a graph partitioner, and then a low‐rank correction is exploited to compute …