A class of multilevel recursive incomplete LU preconditioning techniques

Jun Zhang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We introduce a class of multilevel recursive incomplete LU preconditioning techniques (RILUM) for solving general sparse matrices. This technique is based on a recursive two by two block incomplete LU factorization on the coefficient matrix. The coarse level system is constructed as an (approximate) Schur complement. A dynamic preconditioner is obtained by solving the Schur complement matrix approximately. The novelty of the proposed techniques is to solve the Schur complement matrix by a preconditioned Krylov subspace method. Such a reduction process is repeated to yield a multilevel recursive preconditioner.

Original languageEnglish
Pages (from-to)213-234
Number of pages22
JournalJournal of Applied Mathematics and Computing
Volume8
Issue number2
DOIs
StatePublished - May 2001

Keywords

  • 65F10
  • 65N06

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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