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Integer Programming

 
 
 
 
Integer Programming
Author: Laurence A. Wolsey
ISBN 13: 9780471283669
ISBN 10: 471283665
Edition: 1
Publisher: Wiley-Interscience
Publication Date: 1998-09-09
Format: Hardcover
Pages: 288
List Price: $173.00
 
 

A practical, accessible guide to optimization problems with discrete or integer variables

Integer Programming stands out from other textbooks by explaining in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems, such as airline timetables, production line schedules, or electricity production on a regional or national scale.

Incorporating recent developments that have made it possible to solve difficult optimization problems with greater accuracy, author Laurence A. Wolsey presents a number of state-of-the-art topics not covered in any other textbook. These include improved modeling, cutting plane theory and algorithms, heuristic methods, and branch-and-cut and integer programming decomposition algorithms. This self-contained text:

* Distinguishes between good and bad formulations in integer programming problems

* Applies lessons learned from easy integer programs to more difficult problems

* Demonstrates with applications theoretical and practical aspects of problem solving

* Includes useful notes and end-of-chapter exercises

* Offers tremendous flexibility for tailoring material to different needs

Integer Programming is an ideal text for courses in integer/mathematical programming-whether in operations research, mathematics, engineering, or computer science departments. It is also a valuable reference for industrial users of integer programming and researchers who would like to keep up with advances in the field.

Booknews

A textbook for courses in integer/mathematical programming, which explains how to construct algorithms or use existing commercial software to obtain solutions for a variety of real-world problems such as airline timetables or production line schedules. Topics covered include improved modeling, cutting plain theory, heuristic methods, and branch-and-cut and integer programming decomposition algorithms. Annotation c. by Book News, Inc., Portland, Or.