Efficient parallel inversion of ParaOpt preconditioners

Fuente: arXiv
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Autori principali: Bonte, Corentin, Bouillon, Arne, Samaey, Giovanni, Meerbergen, Karl
Natura: Preprint
Pubblicazione: 2024
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author Bonte, Corentin
Bouillon, Arne
Samaey, Giovanni
Meerbergen, Karl
author_facet Bonte, Corentin
Bouillon, Arne
Samaey, Giovanni
Meerbergen, Karl
contents Recently, the ParaOpt algorithm was proposed as an extension of the time-parallel Parareal method to optimal control. ParaOpt uses quasi-Newton steps that each require solving a system of matching conditions iteratively. The state-of-the-art parallel preconditioner for linear problems leads to a set of independent smaller systems that are currently hard to solve. We generalize the preconditioner to the nonlinear case and propose a new, fast inversion method for these smaller systems, avoiding disadvantages of the current options with adjusted boundary conditions in the subproblems.
format Preprint
id arxiv_https___arxiv_org_abs_2412_02425
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Efficient parallel inversion of ParaOpt preconditioners
Bonte, Corentin
Bouillon, Arne
Samaey, Giovanni
Meerbergen, Karl
Numerical Analysis
Optimization and Control
Recently, the ParaOpt algorithm was proposed as an extension of the time-parallel Parareal method to optimal control. ParaOpt uses quasi-Newton steps that each require solving a system of matching conditions iteratively. The state-of-the-art parallel preconditioner for linear problems leads to a set of independent smaller systems that are currently hard to solve. We generalize the preconditioner to the nonlinear case and propose a new, fast inversion method for these smaller systems, avoiding disadvantages of the current options with adjusted boundary conditions in the subproblems.
title Efficient parallel inversion of ParaOpt preconditioners
topic Numerical Analysis
Optimization and Control
url https://arxiv.org/abs/2412.02425