Large-scale PDE-constrained Optimization
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Verkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Neu - Softcover
Zustand: Neu
Anzahl: 15 verfügbar
In den Warenkorb legenVerkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Zustand: Neu
Anzahl: 15 verfügbar
In den Warenkorb legenSeries: Lecture Notes in Computational Science and Engineering. Num Pages: 355 pages, 13 black & white illustrations, 12 colour illustrations, biography. BIC Classification: PBKJ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 616. . 2003. Softcover reprint of the original 1st ed. 2003. Paperback. . . . . Books ship from the US and Ireland.
Bestandsnummer des Verkäufers V9783540050452
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.
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.
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