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Combinatorial optimization : algorithms and complexity

Auteur : Christos H Papadimitriou; Kenneth Steiglitz
Éditeur : Englewood Cliffs, N.J. : Prentice Hall, ©1982.
Édition/format :   Livre : AnglaisVoir toutes les éditions et les formats
Base de données :WorldCat
Résumé :
Christos H. Papadimitriou and Kenneth Steiglitz have combined the theory of computational complexity developed by computer scientists, and the foundations of mathematical programming developed by the operations research community. This text will be useful to students with a wide range of backgrounds, including computer science, operations research, and electrical engineering.
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Format – détails additionnels : Online version:
Papadimitriou, Christos H.
Combinatorial optimization.
Englewood Cliffs, N.J. : Prentice Hall, ©1982
(OCoLC)558516482
Format : Livre
Tous les auteurs / collaborateurs : Christos H Papadimitriou; Kenneth Steiglitz
ISBN : 0131524623 9780131524620 0486402584 9780486402581
Numéro OCLC : 7463296
Description : xvi, 496 pages : illustrations ; 24 cm
Contenu : Optimization problems --
The simplex algorithm --
Duality --
computational considerations for the simplex algorithm --
The primal-dual algorithm --
Primal-dual algorithms for max-flow and shortest path: Ford-Fulkerson and Dijkstra --
Primal-dual algorithms for min-cost flow --
Algorithms and complexity --
Efficient algorithms for the max-flow problem --
Algorithms for matching --
Weighted matching --
Spanning trees and matroids --
Integer linear programming --
A cutting-lane algorithm for integer linear programs --
NP-complete problems --
More about NP-completeness --
Approximation algorithms --
Branch-and-bound and dynamic programming --
Local search.
Responsabilité : Christos H. Papadimitriou, Kenneth Steiglitz.

Résumé :

Christos H. Papadimitriou and Kenneth Steiglitz have combined the theory of computational complexity developed by computer scientists, and the foundations of mathematical programming developed by the operations research community. This text will be useful to students with a wide range of backgrounds, including computer science, operations research, and electrical engineering.

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