Iterative Methods via Locally Evolving Set Process Baojian Zhou 1,2 Yifan Sun

Neural Information Processing Systems 

By noticing that APPR is a local variant of Gauss-Seidel, this paper explores the question of whether standard iterative solvers can be effectively localized . We propose to use the locally evolving set process, a novel framework to characterize the algorithm locality, and demonstrate that many standard solvers can be effectively localized.

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