On convergence of waveform relaxation for nonlinear systems of ordinary differential equations

Fuente: arXiv
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Main Author: Botchev, Mike A.
Format: Preprint
Published: 2023
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author Botchev, Mike A.
author_facet Botchev, Mike A.
contents To integrate large systems of nonlinear differential equations in time, we consider a variant of nonlinear waveform relaxation (also known as dynamic iteration or Picard-Lindelöf iteration), where at each iteration a linear inhomogeneous system of differential equations has to be solved. This is done by the exponential block Krylov subspace (EBK) method. Thus, we have an inner-outer iterative method, where iterative approximations are determined over a certain time interval, with no time stepping involved. This approach has recently been shown to be efficient as a time-parallel integrator within the PARAEXP framework. In this paper, convergence behavior of this method is assessed theoretically and practically. We examine efficiency of the method by testing it on nonlinear Burgers, three-dimensional Liouville-Bratu-Gelfand, and three-dimensional nonlinear heat conduction equations and comparing its performance with that of conventional time-stepping integrators.
format Preprint
id arxiv_https___arxiv_org_abs_2307_00276
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On convergence of waveform relaxation for nonlinear systems of ordinary differential equations
Botchev, Mike A.
Numerical Analysis
Computational Engineering, Finance, and Science
Computational Physics
65L05, 65M20
To integrate large systems of nonlinear differential equations in time, we consider a variant of nonlinear waveform relaxation (also known as dynamic iteration or Picard-Lindelöf iteration), where at each iteration a linear inhomogeneous system of differential equations has to be solved. This is done by the exponential block Krylov subspace (EBK) method. Thus, we have an inner-outer iterative method, where iterative approximations are determined over a certain time interval, with no time stepping involved. This approach has recently been shown to be efficient as a time-parallel integrator within the PARAEXP framework. In this paper, convergence behavior of this method is assessed theoretically and practically. We examine efficiency of the method by testing it on nonlinear Burgers, three-dimensional Liouville-Bratu-Gelfand, and three-dimensional nonlinear heat conduction equations and comparing its performance with that of conventional time-stepping integrators.
title On convergence of waveform relaxation for nonlinear systems of ordinary differential equations
topic Numerical Analysis
Computational Engineering, Finance, and Science
Computational Physics
65L05, 65M20
url https://arxiv.org/abs/2307.00276