On generalized preconditioners for time-parallel parabolic optimal control

Fuente: arXiv
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Hauptverfasser: Bouillon, Arne, Samaey, Giovanni, Meerbergen, Karl
Format: Preprint
Veröffentlicht: 2023
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author Bouillon, Arne
Samaey, Giovanni
Meerbergen, Karl
author_facet Bouillon, Arne
Samaey, Giovanni
Meerbergen, Karl
contents The ParaDiag family of algorithms solves differential equations by using preconditioners that can be inverted in parallel through diagonalization. In the context of optimal control of linear parabolic PDEs, the state-of-the-art ParaDiag method is limited to solving self-adjoint problems with a tracking objective. We propose three improvements to the ParaDiag method: the use of alpha-circulant matrices to construct an alternative preconditioner, a generalization of the algorithm for solving non-self-adjoint equations, and the formulation of an algorithm for terminal-cost objectives. We present novel analytic results about the eigenvalues of the preconditioned systems for all discussed ParaDiag algorithms in the case of self-adjoint equations, which proves the favorable properties the alpha-circulant preconditioner. We use these results to perform a theoretical parallel-scaling analysis of ParaDiag for self-adjoint problems. Numerical tests confirm our findings and suggest that the self-adjoint behavior, which is backed by theory, generalizes to the non-self-adjoint case. We provide a sequential, open-source reference solver in Matlab for all discussed algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2302_06406
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On generalized preconditioners for time-parallel parabolic optimal control
Bouillon, Arne
Samaey, Giovanni
Meerbergen, Karl
Numerical Analysis
65F08 (Primary) 49M05, 65K10, 65Y05 (Secondary)
The ParaDiag family of algorithms solves differential equations by using preconditioners that can be inverted in parallel through diagonalization. In the context of optimal control of linear parabolic PDEs, the state-of-the-art ParaDiag method is limited to solving self-adjoint problems with a tracking objective. We propose three improvements to the ParaDiag method: the use of alpha-circulant matrices to construct an alternative preconditioner, a generalization of the algorithm for solving non-self-adjoint equations, and the formulation of an algorithm for terminal-cost objectives. We present novel analytic results about the eigenvalues of the preconditioned systems for all discussed ParaDiag algorithms in the case of self-adjoint equations, which proves the favorable properties the alpha-circulant preconditioner. We use these results to perform a theoretical parallel-scaling analysis of ParaDiag for self-adjoint problems. Numerical tests confirm our findings and suggest that the self-adjoint behavior, which is backed by theory, generalizes to the non-self-adjoint case. We provide a sequential, open-source reference solver in Matlab for all discussed algorithms.
title On generalized preconditioners for time-parallel parabolic optimal control
topic Numerical Analysis
65F08 (Primary) 49M05, 65K10, 65Y05 (Secondary)
url https://arxiv.org/abs/2302.06406