Large-Scale PDE-Constrained Optimization /

Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary optimizati...

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Bibliographic Details
Main Author: Biegler, Lorenz T.
Corporate Author: SpringerLink (Online service)
Other Authors: Heinkenschloss, M. (Matthias), Ghattas, Omar, Bloemen Waanders, Bart
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.
Series:Lecture notes in computational science and engineering ; 30.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary optimization methods. With the maturing of technology for PDE simulation, interest has now increased in PDE-based optimization. The chapters in this volume collectively assess the state-of-the-art in PDE-constrained optimization, identify challenges to optimization presented by modern highly parallel PDE simulation codes, and discuss promising algorithmic and software approaches for addressing them. These contributions represent current research of two strong scientific computing communities, in optimization and PDE simulation. This volume merges perspectives in these two different areas and identifies interesting open questions for further research.
Item Description:Electronic resource.
Physical Description:1 online resource (vi, 349 pages 95 illustrations, 11 illustrations in color.)
ISBN:9783642555084 (electronic bk.)
364255508X (electronic bk.)
ISSN:1439-7358 ;