Pyomo ¿ Optimization Modeling in Python

Um unseren Shop nutzen zu können, müssen Sie Javascript in Ihrem Browser aktivieren.

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

55,20 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 4-7 Werktage

Sie können kein Produkt in den Warenkorb legen, da Javascript und technisch notwendige Cookies aktiviert sein müssen.

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

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. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models.

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.

Über den Autor

William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, and Michael L. Bynum are researchers affiliated with the Sandia National Laboratories in Albuquerque, New Mexico. Jean-Paul Watson is a researcher with the Lawrence Livermore Laboratory. David L. Woodruff is professor at the graduate school of management at the University of California, Davis. Gabriel Hackebeil is affiliated with Deepfield Nokia, Ann Arbor, MI. The 2019 INFORMS Computing Society prize was awarded to William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson and John Siirola for spearheading the creation and advancement of Pyomo, an open-source software package for modeling and solving mathematical programs in Python.

Zusammenfassung

Third edition has been reoganized to provide better information flow for readers who are either new or experienced Pyomo users

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

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

Includes supplementary material: [...]

Inhaltsverzeichnis

1. Introduction.- Part I. An Introduction to Pyomo.- 2. Mathematical Modeling and Optimization.- 3. Pyomo Overview.- 4. Pyomo Models and Components: An Introduction.- 5. Scripting Custom Workflows.- 6. Interacting with Solvers.- Part II. Advanced Topics.- 7. Nonlinear Programming with Pyomo.- 8. Structured Modeling with Blocks.- 9. Performance: Model Construction and Solver Interfaces.- 10. Abstract Models and Their Solution.- Part III. Modeling Extensions.- 11. Generalized Disjunctive Programming.- 12. Differential Algebraic Equations.- 13. Mathematical Programs with Equilibrium Constraints.- . A Brief Python Tutorial.- Bibliography.- Index.

Details

Erscheinungsjahr:	2022
Fachbereich:	Allgemeines
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	244
Reihe:	Springer Optimization and Its Applications
Inhalt:	xvii 225 S. 7 s/w Illustr. 5 farbige Illustr. 225 p. 12 illus. 5 illus. in color.
ISBN-13:	9783030689308
ISBN-10:	3030689301
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Bynum, Michael L. Hackebeil, Gabriel A. Hart, William E. Woodruff, David L. Nicholson, Bethany L. Siirola, John D. Watson, Jean-Paul Laird, Carl D.
Auflage:	3rd ed. 2021
Hersteller:	Springer International Publishing Springer Optimization and Its Applications
Maße:	235 x 155 x 14 mm
Von/Mit:	Michael L. Bynum (u. a.)
Erscheinungsdatum:	01.04.2022
Gewicht:	0,376 kg

preigu-id: 121323104