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Journal of Computational and Applied Mathematics
Article
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Journal of Computational and Applied Mathematics
Article . 2011
License: Elsevier Non-Commercial
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Journal of Computational and Applied Mathematics
Article . 2011 . Peer-reviewed
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Article . 2011
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Article . 2021
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Waveform relaxation for reaction–diffusion equations

Waveform relaxation for reaction-diffusion equations
Authors: Jun Liu 0064; Yao-Lin Jiang;

Waveform relaxation for reaction–diffusion equations

Abstract

The authors propose a new waveform relaxation algorithm for general semi-linear reaction-diffusion equations. Compared with the classical waveform relaxation algorithm, the new one has two advantages: the first one is that the system is not decomposed into sub-systems; the second one is represented by the fact that the convergence rate of the new waveform relaxation algorithm does not deteriorate when the spatial grid is refined. An upper bound on the iteration errors, which indicates the superlinear convergence of the algorithm, is given. The corresponding discrete waveform relaxation algorithm for reaction-diffusion equations is presented and its parallelism is analysed. Some numerical experiments are presented in order to verify the theoretical approach.

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Keywords

semi-linear reaction-diffusion equations, parallelism, convergence, windowing technique, Applied Mathematics, Parallelism, Parallel numerical computation, error bounds, waveform relaxation algorithm, Rate of convergence, Waveform relaxation, Computational Mathematics, Error bounds for initial value and initial-boundary value problems involving PDEs, Reaction-diffusion equations, Reaction–diffusion equations, Windowing technique, parallel computation, numerical experiments, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
hybrid