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Large-Scale PDE-Constrained Optimization in Applications (Lecture Notes in Applied and Computational Mechanics) 1st Edition. Subhendu Bikash Hazra

  • SKU: BELL-1410040
Large-Scale PDE-Constrained Optimization in Applications (Lecture Notes in Applied and Computational Mechanics) 1st Edition. Subhendu Bikash Hazra
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Large-Scale PDE-Constrained Optimization in Applications (Lecture Notes in Applied and Computational Mechanics) 1st Edition. Subhendu Bikash Hazra instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6.63 MB
Pages: 214
Author: Subhendu Bikash Hazra
ISBN: 9783642015014, 3642015018
Language: English
Year: 2010
Edition: 1st Edition.

Product desciption

Large-Scale PDE-Constrained Optimization in Applications (Lecture Notes in Applied and Computational Mechanics) 1st Edition. Subhendu Bikash Hazra by Subhendu Bikash Hazra 9783642015014, 3642015018 instant download after payment.

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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