Mesh dependence in PDE-constrained optimisation : an application in tidal turbine array layouts /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2017]
©2017
Description:1 online resource (viii, 110 pages) : illustrations (some color)
Language:English
Series:SpringerBriefs in mathematics of planet Earth. Weather, climate, oceans
SpringerBriefs in mathematics of planet Earth. Weather, climate, oceans.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11322819
Hidden Bibliographic Details
Other authors / contributors:Schwedes, Tobias, author.
Ham, David A., author.
Funke, Simon W., author.
Piggott, Matthew D., author.
ISBN:9783319594835
3319594834
9783319594828
3319594826
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed July 17, 2017).
Summary:This book provides an introduction to PDE-constrained optimisation using finite elements and the adjoint approach. The practical impact of the mathematical insights presented here are demonstrated using the realistic scenario of the optimal placement of marine power turbines, thereby illustrating the real-world relevance of best-practice Hilbert space aware approaches to PDE-constrained optimisation problems. Many optimisation problems that arise in a real-world context are constrained by partial differential equations (PDEs). That is, the system whose configuration is to be optimised follows physical laws given by PDEs. This book describes general Hilbert space formulations of optimisation algorithms, thereby facilitating optimisations whose controls are functions of space. It demonstrates the importance of methods that respect the Hilbert space structure of the problem by analysing the mathematical drawbacks of failing to do so. The approaches considered are illustrated using the optimisation problem arising in tidal array layouts mentioned above. This book will be useful to readers from engineering, computer science, mathematics and physics backgrounds interested in PDE-constrained optimisation and their real-world applications.--
Other form:Print version: Mesh dependence in PDE-constrained optimisation. Cham, Switzerland : Springer, [2017] 9783319594828 3319594826
Standard no.:10.1007/978-3-319-59483-5

MARC

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245 0 0 |a Mesh dependence in PDE-constrained optimisation :  |b an application in tidal turbine array layouts /  |c Tobias Schwedes, David A. Ham, Simon W. Funke, Matthew D. Piggott. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2017] 
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490 1 |a SpringerBriefs in mathematics of planet Earth. Weather, climate, oceans 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed July 17, 2017). 
505 0 |a 1. Introduction -- 2. Problem formulation -- 3. Shallow water equations -- 4. Aspects of the numerical solution -- 5. Optimisation methods -- 6. Mesh independent optimisation in 1-D -- 7. Mesh-dependence for Poisson constrained problem -- Index. 
520 |a This book provides an introduction to PDE-constrained optimisation using finite elements and the adjoint approach. The practical impact of the mathematical insights presented here are demonstrated using the realistic scenario of the optimal placement of marine power turbines, thereby illustrating the real-world relevance of best-practice Hilbert space aware approaches to PDE-constrained optimisation problems. Many optimisation problems that arise in a real-world context are constrained by partial differential equations (PDEs). That is, the system whose configuration is to be optimised follows physical laws given by PDEs. This book describes general Hilbert space formulations of optimisation algorithms, thereby facilitating optimisations whose controls are functions of space. It demonstrates the importance of methods that respect the Hilbert space structure of the problem by analysing the mathematical drawbacks of failing to do so. The approaches considered are illustrated using the optimisation problem arising in tidal array layouts mentioned above. This book will be useful to readers from engineering, computer science, mathematics and physics backgrounds interested in PDE-constrained optimisation and their real-world applications.--  |c Provided by publisher. 
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650 7 |a Mathematical optimization.  |2 fast  |0 (OCoLC)fst01012099 
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700 1 |a Schwedes, Tobias,  |e author. 
700 1 |a Ham, David A.,  |e author. 
700 1 |a Funke, Simon W.,  |e author. 
700 1 |a Piggott, Matthew D.,  |e author. 
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