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Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions

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General Mixed Integer Computational Issues for Branch-and-Cut Algorithms.- Projection and Lifting in Combinatorial Optimization.- Mathematical Programming Models and Formulations for Deterministic Production Planning Problems.- Lagrangian Relaxation.- Branch-and-Cut Algorithms for Combinatorial Optimization and Their Implementation in ABACUS.- Branch, Cut, and Sequential and Parallel.- TSP Cuts Which Do Not Conform to the Template Paradigm.

320 pages, Paperback

Published March 12, 2014

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Michael Jünger

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