Assignment Problems
Assignment Problems is a useful tool for researchers, practitioners and graduate students. In 10 self-contained chapters, it provides a comprehensive treatment of assignment problems from their conceptual beginnings through present-day theoretical, algorithmic and practical developments. The topics covered include bipartite matching algorithms, linear assignment problems, quadratic assignment problems, multi-index assignment problems and many variations of these. Researchers will benefit from the detailed exposition of theory and algorithms related to assignment problems, including the basic linear sum assignment problem and its variations. Practitioners will learn about practical applications of the methods, the performance of exact and heuristic algorithms, and software options. This book also can serve as a text for advanced courses in areas related to discrete mathematics and combinatorial optimisation. The revised reprint provides details on a recent discovery related to one of Jacobi's results, new material on inverse assignment problems and quadratic assignment problems, and an updated bibliography.
- Exercises in the form of numerical examples provide readers with a method of self-study or students with homework problems
- An associated webpage offers applets that readers can use to execute some of the basic algorithms
- Comprehensive treatment of assignment problems from their conception through to their present-day developments
Product details
December 2012Hardback
9781611972221
415 pages
261 × 182 × 23 mm
0.89kg
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Table of Contents
- Preface
- 1. Introduction
- 2. Theoretical foundations
- 3. Bipartite matching algorithms
- 4. Linear sum assignment problem: sequential algorithms
- 5. Further results on the linear sum assignment problem
- 6. Other types of linear assignment problems
- 7. Quadratic assignment problems: formulations and bounds
- 8. Quadratic assignment problems: algorithms
- 9. Other types of quadratic assignment problems
- 10. Multi-index assignment problems
- Bibliography
- Author index
- Subject index.