Large-Scale PDE-Constrained Optimization [electronic resource] /

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.

Bibliographic Details

Main Authors:	Biegler, Lorenz T. editor., Heinkenschloss, Matthias. editor., Ghattas, Omar. editor., Bloemen Waanders, Bart van. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:	Mathematics., Mathematical analysis., Analysis (Mathematics)., Partial differential equations., Computer mathematics., Mathematical optimization., Analysis., Computational Mathematics and Numerical Analysis., Optimization., Computational Science and Engineering., Partial Differential Equations.,
Online Access:	http://dx.doi.org/10.1007/978-3-642-55508-4
Tags:	Add Tag No Tags, Be the first to tag this record!