Deterministic global optimization : geometric branch-and-bound methods and their applications

This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lipschitzian optimization, d.c. programming, and interval analysis.It also introduces a new concept for...

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Detalles Bibliográficos
Autor Principal: Scholz, Daniel
Formato: Livre numérique
Idioma:Anglais
Publicado: New York, NY : Springer New York 2012.
Cham : Springer Nature
Series:Springer Optimization and Its Applications 63
Sujets:
Acceso en liña: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:• Deterministic Global Optimization, Texte imprimé, 9781461419501
Table des matières:
  • Principals and basic concepts.- The geometric branch-and-bound algorithm.-Bounding operations Extension for multicriteria problems Multicriteria discarding tests Extension for mixed combinatorial problems The circle detection problem Integrated scheduling and location problems The median line problem Summary and discussion References Index