Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions

Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions
ISBN-10
3540455868
ISBN-13
9783540455868
Category
Mathematics
Pages
310
Language
English
Published
2003-06-30
Publisher
Springer
Authors
Michael Jünger, Denis Naddef

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.

Similar books