Editors:
- A comprehensive and up-to-date description of the most effective methods in continuous optimization
- Responds to the growing interest in optimization in engineering, science, and business
- Updated throughout with new chapters on nonlinear interior methods and derivative-free methods for optimization
- Authors have produced a text that is informative, rigorous and pleasant to read
- There is a selected solutions manual for instructors for the new edition
Part of the book series: Springer Series in Operations Research and Financial Engineering (ORFE)
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Table of contents (18 chapters)
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Front Matter
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Back Matter
About this book
Reviews
MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."
Editors and Affiliations
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ECE Department, Northwestern University, Evanston, USA
Jorge Nocedal
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Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
Stephen J. Wright
Bibliographic Information
Book Title: Numerical Optimization
Editors: Jorge Nocedal, Stephen J. Wright
Series Title: Springer Series in Operations Research and Financial Engineering
DOI: https://doi.org/10.1007/b98874
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
eBook ISBN: 978-0-387-22742-9Published: 06 June 2006
Series ISSN: 1431-8598
Series E-ISSN: 2197-1773
Edition Number: 1
Number of Pages: XXI, 636
Topics: Calculus of Variations and Optimal Control; Optimization, Systems Theory, Control, Operations Research/Decision Theory