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Item Details
| Title:
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COMPUTATIONAL COMBINATORIAL OPTIMIZATION
OPTIMAL OR PROVABLY NEAR-OPTIMAL SOLUTIONS |
| By: |
Michael Junger (Editor), Dennis Naddef (Editor) |
| Format: |
Paperback |
| List price:
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£54.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3540428771 |
| ISBN 13: |
9783540428770 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
21 November, 2001 |
| Edition: |
2001 ed. |
| Series: |
Lecture Notes in Computer Science 2241 |
| Pages: |
310 |
| Description: |
This tutorial contains 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. |
| Synopsis: |
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. |
| Illustrations: |
X, 310 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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