Domain Decomposition Methods for Systems of Conservation Laws: Spectral Collocation Approximations
Author(s) -
Alfio Quarteroni
Publication year - 1990
Publication title -
siam journal on scientific and statistical computing
Language(s) - English
Resource type - Journals
eISSN - 2168-3417
pISSN - 0196-5204
DOI - 10.1137/0911058
Subject(s) - discretization , mathematics , collocation (remote sensing) , conservation law , domain decomposition methods , nonlinear system , convergence (economics) , spectral method , context (archaeology) , sequence (biology) , collocation method , decomposition method (queueing theory) , mathematical analysis , finite element method , differential equation , computer science , ordinary differential equation , discrete mathematics , paleontology , physics , quantum mechanics , machine learning , biology , economics , thermodynamics , economic growth , genetics
Hyperbolic systems of conservation laws that are discretized in space by spectral collocation methods and advanced in time by finite difference schemes are considered. At any time-level a domain decomposition method is introduced that is based on an iteration-by-subdomain procedure yielding at each step a sequence of independent subproblems (one for each subdomain) that can be solved simultaneously.The method is set for a general nonlinear problem in several space variables. The convergence analysis, however, is carried out only for a linear one-dimensional system with continuous solutions. A precise form of the error-reduction factor at each iteration is derived.Although the method is applied here to the case of spectral collocation approximation only, the idea is fairly general and can be used in a different context as well. For instance, its application to space discretization by finite differences is straightforward.
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