Nonlinear Optimization with Engineering Applications

Bartholomew-Biggs, Michael

ISBN 10: 0387787224 / ISBN 13: 9780387787220

Verlag: Springer-Verlag New York Inc., 2008

Beschreibung

This book examines problems in science and engineering, describing key numerical methods applied to real life. It includes case studies in such areas as vehicle route planning and optimal control, scheduling and resource allocation, and worst-case analysis. Series: Springer Optimization and its Applications. Num Pages: 296 pages, 5 black & white tables, biography. BIC Classification: PBU. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 1320. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verkäufers V9780387787220

Bibliografische Details

• Titel: Nonlinear Optimization with Engineering Applications
• Verlag: Springer-Verlag New York Inc.
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 0387787224
• ISBN-13: 9780387787220
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

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.

Von der hinteren Coverseite

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.