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Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems

We introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-orde...

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Detalles Bibliográficos
Autores principales: Kumar, S., Ruiz-Baier, R., Sandilya, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383746/
https://www.ncbi.nlm.nih.gov/pubmed/30872895
http://dx.doi.org/10.1007/s10915-018-0749-z
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author Kumar, S.
Ruiz-Baier, R.
Sandilya, R.
author_facet Kumar, S.
Ruiz-Baier, R.
Sandilya, R.
author_sort Kumar, S.
collection PubMed
description We introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-order scheme, whereas three different approaches are used for the control representation: a variational discretisation, and approximation through piecewise constant and piecewise linear elements. We employ the optimise-then-discretise approach, resulting in a non-symmetric discrete formulation. A priori error estimates for velocity, pressure, and control in natural norms are derived, and a set of numerical examples is presented to illustrate the performance of the method and to confirm the predicted accuracy of the generated approximations under various scenarios.
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spelling pubmed-63837462019-03-12 Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems Kumar, S. Ruiz-Baier, R. Sandilya, R. J Sci Comput Article We introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-order scheme, whereas three different approaches are used for the control representation: a variational discretisation, and approximation through piecewise constant and piecewise linear elements. We employ the optimise-then-discretise approach, resulting in a non-symmetric discrete formulation. A priori error estimates for velocity, pressure, and control in natural norms are derived, and a set of numerical examples is presented to illustrate the performance of the method and to confirm the predicted accuracy of the generated approximations under various scenarios. Springer US 2018-06-09 2019 /pmc/articles/PMC6383746/ /pubmed/30872895 http://dx.doi.org/10.1007/s10915-018-0749-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Kumar, S.
Ruiz-Baier, R.
Sandilya, R.
Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems
title Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems
title_full Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems
title_fullStr Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems
title_full_unstemmed Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems
title_short Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems
title_sort error bounds for discontinuous finite volume discretisations of brinkman optimal control problems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383746/
https://www.ncbi.nlm.nih.gov/pubmed/30872895
http://dx.doi.org/10.1007/s10915-018-0749-z
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