This book covers the fundamentals of optimization, which is central to any problem involving a decision, be it engineering or economics. It provides the tools to select the best alternative for specific objectives.
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"...an excellent introduction to optimization theory..." ( Journal of Mathematical Psychology, 2002)
"A textbook for a one–semester course on optimization theory and methods at the senior undergraduate or beginning graduate level." (SciTech Book News, Vol. 26, No. 2, June 2002)
An up–to–date, accessible introduction to an increasingly important field
This timely and authoritative book fills a growing need for an introductory text to optimization methods and theory at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization helps students build a solid working knowledge of the field, including unconstrained optimization, linear programming, and constrained optimization.
Supplemented with more than one hundred tables and illustrations, an extensive bibliography, and numerous worked–out examples to illustrate both theory and algorithms, this book also provides:
This book helps students prepare for the advanced topics and technological developments that lie ahead. It is also a useful book for researchers and professionals in mathematics, electrical engineering, economics, statistics, and business.
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