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Optimization: Foundations and Applications

 
 
 
 
Optimization: Foundations and Applications
Author: Ronald E. Miller
ISBN 13: 9780471351696
ISBN 10: 471351695
Edition: 1
Publisher: Wiley-Interscience
Publication Date: 1999-11-23
Format: Paperback
Pages: 676
List Price: $209.00
 
 

A thorough and highly accessible resource for analysts in a broad range of social sciences.

Optimization: Foundations and Applications presents a series of approaches to the challenges

faced by analysts who must find the best way to accomplish particular objectives, usually with

the added complication of constraints on the available choices. Award-winning educator Ronald E.

Miller provides detailed coverage of both classical, calculus-based approaches and newer,

computer-based iterative methods.

Dr. Miller lays a solid foundation for both linear and nonlinear models and quickly moves on to

discuss applications, including iterative methods for root-finding and for unconstrained maximization,

approaches to the inequality constrained linear programming problem, and the complexities of

inequality constrained maximization and minimization in nonlinear problems. Other important features

include:

  • More than 200 geometric interpretations of algebraic results, emphasizing the intuitive

    appeal of mathematics

  • Classic results mixed with modern numerical methods to aid users of computer programs

  • Extensive appendices containing mathematical details important for a thorough understanding

    of the topic

With special emphasis on questions most frequently asked by those encountering this material for the first time, Optimization: Foundations and Applications is an extremely useful resource for professionals in such areas as mathematics, engineering, economics and business, regional science,

geography, sociology, political science, management and decision sciences, public policy analysis, and numerous other social sciences.

Booknews

Writing for social science researchers, Miller (regional science, U. of Pennsylvania) presents a series of approaches to the challenges faced by analysts. After discussing the foundations for linear and nonlinear methods, he discusses applications, including iterative methods for root-finding and for unconstrained maximization, approaches to the inequality constrained linear programming problem, and the complexities of inequality constrained maximization and minimization in nonlinear problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)