A $C^0$ weak Galerkin method with preconditioning for constrained optimal control problems with general tracking

Fuente: arXiv
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Autores principales: Jeong, SeongHee, Lee, Seulip, Wang, Kening
Formato: Preprint
Publicado: 2025
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author Jeong, SeongHee
Lee, Seulip
Wang, Kening
author_facet Jeong, SeongHee
Lee, Seulip
Wang, Kening
contents This paper presents a $C^0$ weak Galerkin ($C^0$-WG) method combined with an additive Schwarz preconditioner for solving optimal control problems (OCPs) governed by partial differential equations with general tracking cost functionals and pointwise state constraints. These problems pose significant analytical and numerical challenges due to the presence of fourth-order variational inequalities and the reduced regularity of solutions. Our first contribution is the design of a $C^0$-WG method based on globally continuous quadratic Lagrange elements, enabling efficient elementwise stiffness matrix assembly and parameter-free implementation while maintaining accuracy, as supported by a rigorous error analysis. As a second contribution, we develop an additive Schwarz preconditioner tailored to the $C^0$-WG method to improve solver performance for the resulting ill-conditioned linear systems. Numerical experiments confirm the effectiveness and robustness of the proposed method and preconditioner for both biharmonic and optimal control problems.
format Preprint
id arxiv_https___arxiv_org_abs_2506_17619
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A $C^0$ weak Galerkin method with preconditioning for constrained optimal control problems with general tracking
Jeong, SeongHee
Lee, Seulip
Wang, Kening
Numerical Analysis
Optimization and Control
65N30, 49M41, 65F08, 65N12
This paper presents a $C^0$ weak Galerkin ($C^0$-WG) method combined with an additive Schwarz preconditioner for solving optimal control problems (OCPs) governed by partial differential equations with general tracking cost functionals and pointwise state constraints. These problems pose significant analytical and numerical challenges due to the presence of fourth-order variational inequalities and the reduced regularity of solutions. Our first contribution is the design of a $C^0$-WG method based on globally continuous quadratic Lagrange elements, enabling efficient elementwise stiffness matrix assembly and parameter-free implementation while maintaining accuracy, as supported by a rigorous error analysis. As a second contribution, we develop an additive Schwarz preconditioner tailored to the $C^0$-WG method to improve solver performance for the resulting ill-conditioned linear systems. Numerical experiments confirm the effectiveness and robustness of the proposed method and preconditioner for both biharmonic and optimal control problems.
title A $C^0$ weak Galerkin method with preconditioning for constrained optimal control problems with general tracking
topic Numerical Analysis
Optimization and Control
65N30, 49M41, 65F08, 65N12
url https://arxiv.org/abs/2506.17619