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Integer and Combinatorial Optimization

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Integer and Combinatorial Optimization by Laurence A. Wolsey and George L. Nemhauser is a comprehensive guide exploring advanced theories and methodologies in integer and combinatorial optimization. Covering both theoretical foundations and practical algorithms, it delves into the complexities and solutions of optimizing discrete decision-making processes, with applications in diverse fields such as logistics, telecommunications, and operations research. This work is foundational in providing insights into effective problem-solving strategies within mathematical optimization.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you're interested in exploring complex mathematical strategies for solving optimization problems. With in-depth coverage of both theoretical and practical aspects, it's a valuable resource for those studying operations research or looking to enhance their skills in mathematical optimization techniques.

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Integer and Combinatorial Optimization

Discrete optimization models are used to tackle a wide variety of problems in many fields, including operations research, management science, engineering, and mathematics. Written by two internationally recognized integer programming experts, this book presents the mathematical foundations, theory, and algorithms of discrete optimization methods.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Rave reviews for Integer and Combinatorial Optimization

"This book provides an excellent introduction and survey of traditional fields of combinatorial optimization ...It is indeed one of the best and most complete texts on combinatorial optimization ...available. [And] with more than 700 entries, [it] has quite an exhaustive reference list." - Optima

"A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers. This book is an encyclopaedic resource for such formulations, as well as for understanding the structure of and solving the resulting integer programming problems." - Computing Reviews

"[This book] can serve as a basis for various graduate courses on discrete optimization as well as a reference book for researchers and practitioners." - Mathematical Reviews

"This comprehensive and wide-ranging book will undoubtedly become a standard reference book for all those in the field of combinatorial optimization." - Bulletin of the London Mathematical Society

"This text should be required reading for anybody who intends to do research in this area or even just to keep abreast of developments." - Times Higher Education Supplement, London

Also of interest ... Integer Programming by Laurence A. Wolsey is a comprehensive and self-contained, intermediate-level guide to integer programming, providing readers with clear, up-to-date explanations on why some problems are difficult to solve, how techniques can be reformulated to give better results, and how mixed integer programming systems can be used more effectively. 1998 (0-471-28366-5) 260 pp.

Series: Wiley Series in Discrete Mathematics and Optimization

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Book Details

INFORMATION

ISBN: 9780471359432

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 22 July 1999

Country: United States

Imprint: Wiley-Interscience

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Spine width: 41.0mm

Width: 180.0mm

Height: 254.0mm

Weight: 1284g

Pages: 784

About the Author

LAURENCE A. WOLSEY is Professor of Applied Mathematics at the Center for Operations Research and Econometrics at l'Universite Catholique de Louvain at Louvain-la-Neuve, Belgium. He is the author, with George Nemhauser, of Integer and Combinatorial Optimization.

GEORGE NEMHAUSER is an A. Russell Chandler III Chair and Institute Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

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