Large-Scale PDE-Constrained Optimization 🔍
Lorenz T. Biegler; Omar Ghattas; Matthias Heinkenschloss; Bart van Bloemen Waanders Springer Berlin Heidelberg, Springer Nature, Berlin, Heidelberg, 2012
English [en] · PDF · 19.9MB · 2012 · 📗 Book (unknown) · 🚀/ia · Save
description
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.
Alternative title
Large-scale PDE constrained optimization
Alternative author
Bart van Bloemen Waanders; Lorenz T. Biegler; Omar Ghattas; Matthias Heinkenschloss
Alternative author
Lorenz T. Biegler [et al.], ed
Alternative author
Biegler, Lorenz T
Alternative publisher
Springer Spektrum. in Springer-Verlag GmbH
Alternative publisher
Steinkopff. in Springer-Verlag GmbH
Alternative publisher
Berlin ; New York: Springer
Alternative edition
Lecture notes in computational science and engineering -- 30, Berlin [etc.], Germany, 2003
Alternative edition
Lecture notes in computational science and engineering, 30, Berlin, Heidelberg, 2003
Alternative edition
Softcover reprint of the original 1st ed. 2003, PS, 2003
Alternative edition
1 edition, October 10, 2003
Alternative edition
Germany, Germany
metadata comments
Includes bibliographical references.
metadata comments
РГБ
metadata comments
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=504 \\ $a Includes bibliographical references.
=650 \7 $a Автоматика и телемеханика -- Автоматика -- Сложные (большие) системы -- Исследование -- Математические методы -- Численные методы $2 rubbk
=653 \\ $a оптимальные системы $a многосвязные системы
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Alternative description
vi, 349 p. : 24 cm
Includes bibliographical references
date open sourced
2023-06-28
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