Large-Scale PDE-Constrained Optimization in Applications

Name: Large-Scale PDE-Constrained Optimization in Applications
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642015014
Price: 580.95 RON
Availability: InStock

Autor: Subhendu Bikash Hazra

Limbă:

Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern în cantități mici

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580.95 lei

This book results from the authors work done on simulation based optimization problems at the Depart...

Informații despre carte

Autor

Subhendu Bikash Hazra

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2010

Pagini

201

EAN

9783642015014

ISBN

3642015018

Enbook ID

01649680

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

327

Dimensiuni

155 x 16 x 18

Descriere completă

This book results from the authors work done on simulation based optimization problems at the Department of Mathematics, University of Trier, and reported in his postdoctoral thesis ( Habilitationsschrift ) accepted by the Faculty-IV of this University in 2008. The focus of the work has been to develop mathematical methods and algorithms which lead to efficient and high performance computational techniques to solve such optimization problems in real-life applications. Systematic development of the methods and algorithms are presented here. Practical aspects of implementations are discussed at each level as the complexity of the problems increase, supporting with enough number of computational examples. It consists of two parts: first part deals with time dependent optimization problems with applications in environmental engineering and the second part deals with steady state optimization problems, in which the PDEs are solved using semi-iterative or pseudo-time-stepping techniques, with applications in aerodynamics.§This book will be useful for scientists and engineers who are looking for efficient numerical methods for PDE-constrained optimization problems. It will be helpful for graduate and Ph.D. students in applied mathematics, aerospace engineering, mechanical engineering, civil engineering and computational engineering during their training and research. This also will provide exciting research and development areas involving realistic applications.

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