A Parallel in Time Algorithm Based on ParaExp for Optimal Control Problems

Fuente: arXiv
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Hauptverfasser: Kwok, Felix, Tognon, Djahou N
Format: Preprint
Veröffentlicht: 2024
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author Kwok, Felix
Tognon, Djahou N
author_facet Kwok, Felix
Tognon, Djahou N
contents We propose a new parallel-in-time algorithm for solving optimal control problems constrained by discretized partial differential equations. Our approach, which is based on a deeper understanding of ParaExp, considers an overlapping time-domain decomposition in which we combine the solution of homogeneous problems using exponential propagation with the local solutions of inhomogeneous problems. The algorithm yields a linear system whose matrix-vector product can be fully performed in parallel. We then propose a preconditioner to speed up the convergence of GMRES in the special cases of the heat and wave equations. Numerical experiments are provided to illustrate the efficiency of our preconditioners.
format Preprint
id arxiv_https___arxiv_org_abs_2406_11478
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Parallel in Time Algorithm Based on ParaExp for Optimal Control Problems
Kwok, Felix
Tognon, Djahou N
Distributed, Parallel, and Cluster Computing
Numerical Analysis
We propose a new parallel-in-time algorithm for solving optimal control problems constrained by discretized partial differential equations. Our approach, which is based on a deeper understanding of ParaExp, considers an overlapping time-domain decomposition in which we combine the solution of homogeneous problems using exponential propagation with the local solutions of inhomogeneous problems. The algorithm yields a linear system whose matrix-vector product can be fully performed in parallel. We then propose a preconditioner to speed up the convergence of GMRES in the special cases of the heat and wave equations. Numerical experiments are provided to illustrate the efficiency of our preconditioners.
title A Parallel in Time Algorithm Based on ParaExp for Optimal Control Problems
topic Distributed, Parallel, and Cluster Computing
Numerical Analysis
url https://arxiv.org/abs/2406.11478