Computational combinatorial optimization : :: SCD d'Orléans

Computational combinatorial optimization : optimal or provably near-optimal solutions

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 a...

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Dades bibliogràfiques
Autor principal:	Junger, Michael
Altres autors:	Naddef, Denis, 19..-...., auteur en mathématiques appliquées (Director editorial)
Format:	Livre numérique
Idioma:	Anglais
Publicat:	Berlin [etc.] : Springer [20..]. Cham : Springer Nature
Col·lecció:	Lecture notes in computer science 2241
Matèries:	Informatique Optimisation combinatoire Algorithmes Analyse numérique Programmation (mathématiques) Analyse combinatoire Structures de données (informatique) Actes de congrès
Accés en línia:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Nota:	Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Computational combinatorial optimization, optimal or provably near-optimal solutions, Michael Juÿger, Denis Naddef (eds.), Berlin, Springer, 2001, 1 vol. (VII-303 p.), Lecture notes in computer science, 3-540-42877-1 • Computational Combinatorial Optimization, Texte imprimé, 9783662206980

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