Computational combinatorial optimization : optimal or provably near-optimal solutions /
Publisher description: This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
[2001]
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| Series: | Lecture notes in computer science ;
2241. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Publisher description: This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (viii, 303 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3540428771 9783540428770 |
| ISSN: | 0302-9743 ; |