Nonlinear Optimization with Engineering Applications

Michael Bartholomew-Biggs

ISBN 10: 0387787224 / ISBN 13: 9780387787220

Verlag: Springer US, 2008

Beschreibung

A sound theoretical introduction to optimization but mainly placing a practical emphasis on understanding algorithms and how to use themThis textbook examines a broad range of problems in science and engineering, describing key numerical methods appl.

Bestandsnummer des Verkäufers 458430776

Bibliografische Details

• Titel: Nonlinear Optimization with Engineering Applications
• Verlag: Springer US
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 0387787224
• ISBN-13: 9780387787220
• Einband: Gebunden
• 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.