Ankündigung Erscheint vsl. Januar 2021 Abbildung von Lodwick / Salles-Neto | Flexible and Generalized Uncertainty Optimization | 2. Auflage | 2021 | 696 | beck-shop.de

Lodwick / Salles-Neto

Flexible and Generalized Uncertainty Optimization

Theory and Approaches

Jetzt vorbestellen! Wir liefern bei Erscheinen (Erscheint vsl. Januar 2021)

Buch. Hardcover

2nd ed. 2021. 2021

viii, 209 S. 3 s/w-Abbildungen, 30 Farbabbildungen, Bibliographien.

In englischer Sprache

Springer. ISBN 978-3-030-61179-8

Format (B x L): 15,5 x 23,5 cm

Produktbeschreibung

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and are more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of the associated optimization model in detail. Written for graduate students and professionals in the broad field of optimization and operations research, this second edition has been revised and extended to include more worked examples and a section on interval multi-objective mini-max regret theory along with its solution method.

Autoren

  • Rezensionen

    Dieses Set enthält folgende Produkte:
      Auch in folgendem Set erhältlich:
      • nach oben

        Ihre Daten werden geladen ...