A Restricted Additive Schwarz Preconditioner for General Sparse Linear Systems
Abstract
This paper introduces some cheaper and faster variants of the classical additive Schwarz preconditioner (AS) for general sparse linear systems. Using numerical examples, the paper shows that the new methods are superior to AS in terms of both iteration counts and CPU time, as well as the communication cost when implemented on distributed memory computers. This is especially true for harder problems such as indefinite complex linear systems and systems of convection-diffusion equations from three-dimensional compressible flows. Both sequential and parallel results are reported.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1997
- Accession Number
- ADA448279
Entities
People
- Marcus Sarkis
- Xiao-chuan Cai
Organizations
- University of Colorado Boulder