Domain Decomposition Methods and Preconditioning
V. G. Korneev, Ulrich Langer
Abstract
V. G. Korneev, Ulrich Langer
Abstract
Abstract Domain decomposition methods nowadays provide powerful tools for constructing efficient parallel solvers for large‐scale systems of algebraic equations arising from the discretization of partial differential equations. The classical alternating Schwarz method and the classical substructuring technique have led to advanced overlapping and nonoverlapping domain decomposition solvers (preconditioners), that can be analyzed from a unified point of view now called Schwarz theory . This survey article starts with a brief historical overview, provides the basic results of the Schwarz theory, looks at some overlapping domain decomposition methods (preconditioners) in brief, and discusses more extensively various nonoverlapping domain decomposition techniques.
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Abstract Domain decomposition methods nowadays provide powerful tools for constructing efficient parallel solvers for large‐scale systems of algebraic equations arising from the discretization of partial differential equations. The classical alternating Schwarz method and the classical substructuring technique have led to advanced overlapping and nonoverlapping domain decomposition solvers (preconditioners), that can be analyzed from a unified point of view now called Schwarz theory . This survey article starts with a brief historical overview, provides the basic results of the Schwarz theory, looks at some overlapping domain decomposition methods (preconditioners) in brief, and discusses more extensively various nonoverlapping domain decomposition techniques.
Key concepts: Domain decomposition methods, Schwarz alternating method, Domain (mathematical analysis), Additive Schwarz method, Decomposition, Discretization, Computer science, Partial differential equation