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Science/Engineering Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions

Posted on 2010-03-15

Name:	Science/Engineering Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions
ASIN/ISBN:	3540428771
Language:	English
File size:	1.7 Mb
Publish Date:	2001-12-18
ISBN:	3540428771
Pages:	314 pages
File Type:	PDF
File Size:	1,7 MB
Other Info:	Springer

Science/Engineering Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions

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Michael Jünger, Denis Naddef, "Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions"

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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