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Logic-based Methods for Optimization
John Hooker
€ 231.64
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Description for Logic-based Methods for Optimization
Hardcover. Examining the role of logic in optimization as the theme for integration, this volume is designed for courses in optimization, in particular discrete optimization. Much of the emphasis is placed on corporate tools and techniques, including a wide range of programming options. Series: Wiley-Interscience Series in Discrete Mathematics and Optimization. Num Pages: 520 pages, Illustrations. BIC Classification: PBU. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 161 x 29. Weight in Grams: 889.
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction
While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful as well as flexible modeling and solution techniques. Designed to be easily accessible to industry professionals and academics in ... Read more
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction
While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful as well as flexible modeling and solution techniques. Designed to be easily accessible to industry professionals and academics in ... Read more
Product Details
Format
Hardback
Publication date
2000
Publisher
John Wiley and Sons Ltd United States
Number of pages
520
Condition
New
Series
Wiley-Interscience Series in Discrete Mathematics and Optimization
Number of Pages
520
Place of Publication
, United States
ISBN
9780471385219
SKU
V9780471385219
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About John Hooker
JOHN HOOKER, PhD, is Professor of Operations Research and T. Jerome Holleran Professor of Business Ethics and Social Responsibility at the Graduate School of Industrial Administration, Carnegie Mellon University. Well-known for his work in the operations research/computer science interface, Dr. Hooker has published over 80 articles and coauthored (with Vijay Chandru) Optimization Methods for Logical Inference, also available from Wiley. ... Read more
Reviews for Logic-based Methods for Optimization
"This is a book that should be widely read by graduate students and researchers in both the computer science and optimization communities." (Choice, Vol. 38, No. 7, March 2001) "Goal is to broaden the conceptual foundations of optimization to include logical and constraint based approaches to traditional optimization methods." (American Mathematical Monthly, November 2001) "The author combines a ... Read more