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

by Michael Jünger,Denis Naddef


Series: Lecture Notes in Computer Science 2241. but a collection of lectures on computational combinatorial optimization

Series: Lecture Notes in Computer Science 2241. File: PDF, . 2 MB. पुस्तक ऑनलाइन पढ़ें. but a collection of lectures on computational combinatorial optimization.

Lecture Notes in Computer Science Lect. 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.

This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. Series: Lecture Notes in Computer Science 2241.

Автор: JГјnger Michael, Naddef Denis Название: Computational .

Computational Combinatorial Optimization Optimal or Provably Near Optimal Solutions Lecture Notes in. johny.

Computational combinatorial optimization. Optimal of probably near-optimal solutions. Innovative improvements in the area of human–computer interaction and user interfaces have enabled intuitive and effective applications for a variety of problems. On the other hand, there has also been the realization that several real-world optimization problems still cannot be totally automated.

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Projection and Lifting in Combinatorial Optimization

Computational Combinatorial Optimization: Optimal or Provably Near-Optimal SolutionsAuthor: Michael Jünger, Denis Naddef Published by Springer Berlin. Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions Author: Michael Jünger, Denis Naddef Published by Springer Berlin Heidelberg ISBN: 978-3-540-42877-0 DOI: 1. 007/3-540-45586-8. Projection and Lifting in Combinatorial Optimization. Mathematical Programming Models and Formulations for Deterministic Production Planning Problems. Lagrangian Relaxation.

Rubrics: Kombinatorische Optimierung. Download now Computational combinatorial optimization Elektronische Ressource optimal or provably near optimal solutions: Download PDF book format. Download DOC book format.

Computational Combinatorial Optimization Optimal or Provably Near-Optimal Solutions by Michael Jünger and . You are currently visiting our US store. You may visit any one of our stores by selecting a country below

Computational Combinatorial Optimization Optimal or Provably Near-Optimal Solutions by Michael Jünger and Publisher Springer. Save up to 80% by choosing the eTextbook option for ISBN: 9783540455868, 3540455868. The print version of this textbook is ISBN: 9783540428770, 3540428771. You may visit any one of our stores by selecting a country below. Note that the availability of products for purchase is based on the country of your billing address. Some items may have regional restrictions for purchase. Canadian customers may purchase from our stores in Canada or the US. Canada.

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.
Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions (Lecture Notes in Computer Science) ebook
Author:
Michael Jünger,Denis Naddef
Category:
Programming
Subcat:
EPUB size:
1920 kb
FB2 size:
1111 kb
DJVU size:
1893 kb
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Publisher:
Springer; 2001 edition (December 18, 2001)
Pages:
310 pages
Rating:
4.4
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