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Schwarz alternating and iterative refinement methods for mixed formulations of elliptic problems,part II: Convergence theory
Authors:Tarek P. Mathew
Affiliation:(1) Department of Mathematics, University of California at Los Angeles, 90024-1555 Los Angeles, CA, USA
Abstract:
Summary In this paper we discuss bounds for the convergence rates of several domain decomposition algorithms to solve symmetric, indefinite linear systems arising from mixed finite element discretizations of elliptic problems. The algorithms include Schwarz methods and iterative refinement methods on locally refined grids. The implementation of Schwarz and iterative refinement algorithms have been discussed in part I. A discussion on the stability of mixed discretizations on locally refined grids is included and quantiative estimates for the convergence rates of some iterative refinement algorithms are also derived.Department of Mathematics, University of Wyoming, Laramie, WY 82071-3036. This work was supported in part by the National Science Foundation under Grant NSF-CCR-8903003, while the author was a graduate student at New York University, and in part by NSF Grant ASC 9003002, while the author was a Visiting, Assistant Researcher at UCLA.
Keywords:65F10  65N30  65N55
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