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Large-Scale PDE-Constrained Optimization (Paperback, Softcover reprint of the original 1st ed. 2003) Loot Price: R4,500
Discovery Miles 45 000
Large-Scale PDE-Constrained Optimization (Paperback, Softcover reprint of the original 1st ed. 2003): Lorenz T. Biegler, Omar...

Large-Scale PDE-Constrained Optimization (Paperback, Softcover reprint of the original 1st ed. 2003)

Lorenz T. Biegler, Omar Ghattas, Matthias Heinkenschloss, Bart Van Bloemen Waanders

Series: Lecture Notes in Computational Science and Engineering, 30

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Loot Price R4,500 Discovery Miles 45 000 | Repayment Terms: R422 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Computational Science and Engineering, 30
Release date: October 2003
First published: 2003
Editors: Lorenz T. Biegler • Omar Ghattas • Matthias Heinkenschloss • Bart Van Bloemen Waanders
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 349
Edition: Softcover reprint of the original 1st ed. 2003
ISBN-13: 978-3-540-05045-2
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
LSN: 3-540-05045-0
Barcode: 9783540050452

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