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Integer Programming [Hardcover]

Laurence A. Wolsey (Author)
3.8 out of 5 stars  See all reviews (6 customer reviews)

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Book Description

September 9, 1998 0471283665 978-0471283669 1
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.

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Integer Programming + Integer and Combinatorial Optimization
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Editorial Reviews

From the Back Cover

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.

About the Author

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

Product Details

  • Hardcover: 288 pages
  • Publisher: Wiley-Interscience; 1 edition (September 9, 1998)
  • Language: English
  • ISBN-10: 0471283665
  • ISBN-13: 978-0471283669
  • Product Dimensions: 6.4 x 0.8 x 9.3 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.8 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #285,997 in Books (See Top 100 in Books)

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Customer Reviews

6 Reviews
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Average Customer Review
3.8 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

9 of 10 people found the following review helpful:
4.0 out of 5 stars A Complete Referance, May 9, 2000
This review is from: Integer Programming (Hardcover)
I really like reading this book. It is upto date in terms of algorithms and theory. You can find nearly every basic topic about integer optimization in the book. I consider it as a complete referance in integer optimization. The sequence of the topics, chapters, also make it easier to understand the contents. The book gives both the theory and solution strategies. I recommend the book for people who work or study in the following areas:industrial engineering, operations research and operations management.
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5.0 out of 5 stars Everything was fine, October 16, 2011
Amazon Verified Purchase(What's this?)
This review is from: Integer Programming (Hardcover)
Book was OK, a good reference that I was obliged to buy for one of the courses I followed. Thanks.
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4.0 out of 5 stars Very good!, September 2, 2007
By 
E Pek "EP" (Quebec, Canada) - See all my reviews
This review is from: Integer Programming (Hardcover)
It has all the major subjects in IP and uses a mathematical approach very clear.
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Inside This Book (learn more)
First Sentence:
A wide variety of practical problems can be formulated and solved using integer programming. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
integer programming system, flow cover inequality, integer knapsack problem, flow cover inequalities, linear programming master, mixed integer cuts, linear programming value, generalized assignment problem, strong valid inequalities, uncapacitated facility location problem, subgradient algorithm, primal step, dual bound, valid inequality, linear programming relaxation, linear programming solution, primal feasible solution, dual feasible solution, profit matrix, maximum cardinality matching, linear program max, total unimodularity, cutting plane algorithm, augmenting path, column generation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Master Problem, Explicit Convex Hull Property, Operations Research, Efficient Optimization Property, Efficient Separation Property, Strong Dual Property, Management Science
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