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Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions (Lecture Notes in Computer Science) [Paperback]

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Item description for Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions (Lecture Notes in Computer Science) by Michael Jünger...

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 Specifications...


Pages   305
Est. Packaging Dimensions:   Length: 9.2" Width: 6.1" Height: 0.7"
Weight:   1.05 lbs.
Binding  Softcover
Release Date   Dec 18, 2001
Publisher   Springer
ISBN  3540428771  
ISBN13  9783540428770  


Availability  73 units.
Availability accurate as of Mar 23, 2017 10:24.
Usually ships within one to two business days from La Vergne, TN.
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Product Categories

1Books > Subjects > Computers & Internet > General
2Books > Subjects > Computers & Internet > Programming > Algorithms > General
3Books > Subjects > Computers & Internet > Programming > General
4Books > Subjects > Medicine > General
5Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Linear Programming
6Books > Subjects > Science > General
7Books > Subjects > Science > Mathematics > Applied > Linear Programming
8Books > Subjects > Science > Mathematics > General



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