A robust and time-parallel preconditioner for parabolic reconstruction problems using Isogeometric Analysis

Fuente: arXiv
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Main Authors: Mardal, Kent-Andre, Sogn, Jarle, Takacs, Stefan
Format: Preprint
Published: 2024
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author Mardal, Kent-Andre
Sogn, Jarle
Takacs, Stefan
author_facet Mardal, Kent-Andre
Sogn, Jarle
Takacs, Stefan
contents We consider a PDE-constrained optimization problem of tracking type with parabolic state equation. The solution to the problem is characterized by the Karush-Kuhn-Tucker (KKT) system, which we formulate using a strong variational formulation of the state equation and a super weak formulation of the adjoined state equation. This allows us to propose a preconditioner that is robust both in the regularization and the diffusion parameter. In order to discretize the problem, we use Isogeometric Analysis since it allows the construction of sufficiently smooth basis functions effortlessly. To realize the preconditioner, one has to solve a problem over the whole space time cylinder that is elliptic with respect to certain non-standard norms. Using a fast diagonalization approach in time, we reformulate the problem as a collection of elliptic problems in space only. These problems are not only smaller, but our approach also allows to solve them in a time-parallel way. We show the efficiency of the preconditioner by rigorous analysis and illustrate it with numerical experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2407_17964
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A robust and time-parallel preconditioner for parabolic reconstruction problems using Isogeometric Analysis
Mardal, Kent-Andre
Sogn, Jarle
Takacs, Stefan
Numerical Analysis
We consider a PDE-constrained optimization problem of tracking type with parabolic state equation. The solution to the problem is characterized by the Karush-Kuhn-Tucker (KKT) system, which we formulate using a strong variational formulation of the state equation and a super weak formulation of the adjoined state equation. This allows us to propose a preconditioner that is robust both in the regularization and the diffusion parameter. In order to discretize the problem, we use Isogeometric Analysis since it allows the construction of sufficiently smooth basis functions effortlessly. To realize the preconditioner, one has to solve a problem over the whole space time cylinder that is elliptic with respect to certain non-standard norms. Using a fast diagonalization approach in time, we reformulate the problem as a collection of elliptic problems in space only. These problems are not only smaller, but our approach also allows to solve them in a time-parallel way. We show the efficiency of the preconditioner by rigorous analysis and illustrate it with numerical experiments.
title A robust and time-parallel preconditioner for parabolic reconstruction problems using Isogeometric Analysis
topic Numerical Analysis
url https://arxiv.org/abs/2407.17964