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Frontiers in PDE-constrained optimization
This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging applications. Many science and engineering applications necessitate the solution of optimization problems constrained by physical laws that are describ...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2018
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4939-8636-1 http://cds.cern.ch/record/2646989 |
_version_ | 1780960529902206976 |
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author | Antil, Harbir Kouri, Drew Lacasse, Martin-D Ridzal, Denis |
author_facet | Antil, Harbir Kouri, Drew Lacasse, Martin-D Ridzal, Denis |
author_sort | Antil, Harbir |
collection | CERN |
description | This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging applications. Many science and engineering applications necessitate the solution of optimization problems constrained by physical laws that are described by systems of partial differential equations (PDEs) . As a result, PDE-constrained optimization problems arise in a variety of disciplines including geophysics, earth and climate science, material science, chemical and mechanical engineering, medical imaging and physics. This volume is divided into two parts. The first part provides a comprehensive treatment of PDE-constrained optimization including discussions of problems constrained by PDEs with uncertain inputs and problems constrained by variational inequalities. We place special emphasis on algorithm development and numerical computation. The second part of this volume focuses on the application of PDE-constrained optimization including problems in optimal control, optimal design and inverse problems, which includes a comprehensive treatment of inverse problems arising in the oil and gas industry, among other topics. |
id | cern-2646989 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
spelling | cern-26469892021-04-21T18:40:48Zdoi:10.1007/978-1-4939-8636-1http://cds.cern.ch/record/2646989engAntil, HarbirKouri, DrewLacasse, Martin-DRidzal, DenisFrontiers in PDE-constrained optimizationMathematical Physics and MathematicsThis volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging applications. Many science and engineering applications necessitate the solution of optimization problems constrained by physical laws that are described by systems of partial differential equations (PDEs) . As a result, PDE-constrained optimization problems arise in a variety of disciplines including geophysics, earth and climate science, material science, chemical and mechanical engineering, medical imaging and physics. This volume is divided into two parts. The first part provides a comprehensive treatment of PDE-constrained optimization including discussions of problems constrained by PDEs with uncertain inputs and problems constrained by variational inequalities. We place special emphasis on algorithm development and numerical computation. The second part of this volume focuses on the application of PDE-constrained optimization including problems in optimal control, optimal design and inverse problems, which includes a comprehensive treatment of inverse problems arising in the oil and gas industry, among other topics.Springeroai:cds.cern.ch:26469892018 |
spellingShingle | Mathematical Physics and Mathematics Antil, Harbir Kouri, Drew Lacasse, Martin-D Ridzal, Denis Frontiers in PDE-constrained optimization |
title | Frontiers in PDE-constrained optimization |
title_full | Frontiers in PDE-constrained optimization |
title_fullStr | Frontiers in PDE-constrained optimization |
title_full_unstemmed | Frontiers in PDE-constrained optimization |
title_short | Frontiers in PDE-constrained optimization |
title_sort | frontiers in pde-constrained optimization |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-1-4939-8636-1 http://cds.cern.ch/record/2646989 |
work_keys_str_mv | AT antilharbir frontiersinpdeconstrainedoptimization AT kouridrew frontiersinpdeconstrainedoptimization AT lacassemartind frontiersinpdeconstrainedoptimization AT ridzaldenis frontiersinpdeconstrainedoptimization |