Large-Scale PDE-Constrained Optimization

L. T. Biegler, O. Ghattas, M. Heinkenschloss, B. van Bloemen Waanders

350 pages, parution le 16/09/2003

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Résumé

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.

Introduction
Large-Scale CFD Applications
Multi.delity Models and Inexactness
Sensitivities for PDE-based Optimization
NLP Algorithms and Inequality Constraints
Time-Dependent Problems
Frameworks for PDE-Constrained Optimization
Color Plates

L'auteur - L. T. Biegler

Carnegie Mellon University, Pittsburgh, PA, USA

L'auteur - O. Ghattas

, Carnegie Mellon University, Pittsburgh, PA, USA

L'auteur - M. Heinkenschloss

Rice University, Houston, TX, USA

L'auteur - B. van Bloemen Waanders

Sandia National Laboratories, Albuquerque, NM, USA

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	L. T. Biegler, O. Ghattas, M. Heinkenschloss, B. van Bloemen Waanders
Parution	16/09/2003
Nb. de pages	350
Format	15,5 x 23,5
Couverture	Broché
Poids	540g
Intérieur	Noir et Blanc
EAN13	9783540050452