Hart / Laird / Watson

Pyomo — Optimization Modeling in Python

2nd ed. 2017

Springer

ISBN 978-3-319-58819-3

Standardpreis


60,98 €

vergriffen, kein Nachdruck

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

auch verfügbar als eBook (PDF) für 60,98 €

Bibliografische Daten

Fachbuch

Buch. Hardcover

2nd ed. 2017. 2017

5 s/w-Abbildungen, 8 Farbabbildungen, 6 Farbtabellen, Bibliographien.

In englischer Sprache

Umfang: xviii, 277 S.

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

Gewicht: 6215

Verlag: Springer

ISBN: 978-3-319-58819-3

Weiterführende bibliografische Daten

auch verfügbar als eBook (PDF) für 60,98 €

Produktbeschreibung

This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming. Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. Review of the first edition: Documents a simple, yet versatile tool for modeling and solving optimization problems. … The book, by Bill Hart, Carl Laird, Jean-Paul Watson, and David Woodruff, is essential to the usability of Pyomo, serving as the Pyomo documentation. … has contents for both an inexperienced user, and a computational operations research expert. … with examples of each of the concepts discussed. —Nedialko B. Dimitrov, INFORMS Journal on Computing, Vol. 24 (4), Fall 2012

Autorinnen und Autoren

Kundeninformationen

Unique book describing the user-friendly Pyomo modeling tool, the most comprehensive open source modeling software that can model linear programs, integer programs, nonlinear programs, stochastic programs and disjunctive programs Second edition present additional PYOMO capabilities not appearing in other sources Discusses Pyomo's modeling components, illustrated with extensive examples Introduces beginners to the software and presents chapters for advanced modeling capabilities Contains a comprehensive tutorial

Produktsicherheit

Hersteller

Springer Nature Customer Service Center GmbH

ProductSafety@springernature.com

Topseller & Empfehlungen für Sie

Ihre zuletzt angesehenen Produkte

Rezensionen

Dieses Set enthält folgende Produkte:
    Auch in folgendem Set erhältlich:

    • Produktempfehlungen personalisieren

      Ihre Vorteile:

      • Empfehlungen basierend auf ihren Interessen
      • Zeitersparnis durch passende Vorschläge

      Mehr informationen zu , , und

      Die ersten personalisierten Empfehlungen erhalten Sie nach zwei bis drei Klicks.

      Sie können diese Zustimmung zu einem späteren Zeitpunkt unproblematisch über die Datenschutz-Einstellungen wieder zurückziehen.

      nach oben

      Ihre Daten werden geladen ...