
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.
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
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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