Nonlinear Optimization with Engineering Applications

Michael Bartholomew-Biggs

ISBN 10: 1441946217 / ISBN 13: 9781441946218

Editore: Springer Us, 2010

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newton's methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a avour of how the methods perform in practice.

Codice articolo 9781441946218

Dati bibliografici

• Titolo: Nonlinear Optimization with Engineering Applications
• Editore: Springer Us
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441946217
• ISBN 13: 9781441946218
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 234 L x 156 A x 16 P (millimetri) 234 millimetri di larghezza per 156 millimetri di altezza per 16 millimetri di profondità
• Peso: 422 grammi

Descrizione articolo

Riassunto

This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for ?nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newton’s methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi?cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a ?avour of how the methods perform in practice.

Dalla quarta di copertina

This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicle route planning and optimal control, scheduling and resource allocation, sensitivity calculations and worst-case analysis.

Among the main topics covered:

* one-variable optimization optimality conditions, direct search and gradient

* unconstrained optimization in n variables solution methods including Nelder and Mead simplex, steepest descent, Newton, Gauss Newton, and quasi-Newton techniques, trust regions and conjugate gradients

* constrained optimization in n variables solution methods including reduced-gradients, penalty and barrier methods, sequential quadratic programming, and interior point techniques

* an introduction to global optimization

* an introduction to automatic differentiation

Chapters are self-contained with exercises provided at the end of most sections. Nonlinear Optimization with Engineering Applications is ideal for self-study and classroom use in engineering courses at the senior undergraduate or graduate level. The book will also appeal to postdocs and advanced researchers interested in the development and use of optimization algorithms.

Also by the author: Nonlinear Optimization with Financial Applications,
ISBN: 978-1-4020-8110-1, (c)2005, Springer.