9783030689308 - pyomo — optimization modeling in python: 67 di bynum, michael l.; hackebeil, gabriel a.; hart, william e.; laird, carl d.; nicholson, bethany l.; siirola, john d.; watson, jean-paul; woodruff, david l. (18 risultati)

Pyomo - Optimization Modeling In Python 3rd ed. 2021
Bynum, Michael L.; Hackebeil, Gabriel A.; Hart, William E.; Laird, Carl D.; Nicholson, Bethany L.; Siirola, John D.; Watson, Jean-Paul; Woodruff, David L.
Lingua: Inglese
Editore: Springer 2022
Serie: Springer Optimization and Its Applications, Libro 161 di 176. Libro 161 di 176 - Springer Optimization and Its Applications
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Paperback or Softback. Condizione: New. Pyomo -- Optimization Modeling in Python. Book.

Pyomo — Optimization Modeling in Python (Springer Optimization and Its Applications)
Bynum, Michael L.; Hackebeil, Gabriel A.; Hart, William E.; Laird, Carl D.; Nicholson, Bethany L.; Siirola, John D.; Watson, Jean-Paul; Woodruff, David L.
Lingua: Inglese
Editore: Springer 2022
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Pyomo - Optimization Modeling In Python 3rd ed. 2021
Bynum, Michael L.; Hackebeil, Gabriel A.; Hart, William E.; Laird, Carl D.; Nicholson, Bethany L.; Siirola, John D.; Watson, Jean-Paul; Woodruff, David L.
Lingua: Inglese
Editore: Springer 2022
Serie: Springer Optimization and Its Applications, Libro 161 di 176. Libro 161 di 176 - Springer Optimization and Its Applications
- Brossura
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Pyomo - Optimization Modeling In Python 3rd ed. 2021
Bynum, Michael L.; Hackebeil, Gabriel A.; Hart, William E.; Laird, Carl D.; Nicholson, Bethany L.; Siirola, John D.; Watson, Jean-Paul; Woodruff, David L.
Lingua: Inglese
Editore: Springer 2022
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Condizione: New. pp. 225 3rd ed. 2021 edition NO-PA16APR2015-KAP.

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Editore: Springer 2022
Serie: Springer Optimization and Its Applications, Libro 161 di 176. Libro 161 di 176 - Springer Optimization and Its Applications
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Pyomo - Optimization Modeling In Python 3rd ed. 2021
Bynum, Michael L.; Hackebeil, Gabriel A.; Hart, William E.; Laird, Carl D.; Nicholson, Bethany L.; Siirola, John D.; Watson, Jean-Paul; Woodruff, David L.
Lingua: Inglese
Editore: Springer 2022
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- Brossura
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 m…any 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.

Lingua: Inglese
Editore: Springer 2022
Serie: Springer Optimization and Its Applications, Libro 161 di 176. Libro 161 di 176 - Springer Optimization and Its Applications
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Taschenbuch. Condizione: Neu. Pyomo - Optimization Modeling in Python | Michael L. Bynum (u. a.) | Taschenbuch | xvii | Englisch | 2022 | Springer | EAN 9783030689308 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 practi…tioners. 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. 244 pp. Englisch.

Lingua: Inglese
Editore: Springer 2022
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Condizione: New. Print on Demand pp. 225.

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Serie: Springer Optimization and Its Applications, Libro 161 di 176. Libro 161 di 176 - Springer Optimization and Its Applications
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 225.

Lingua: Inglese
Editore: Springer, Palgrave Macmillan Apr 2022 2022
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 practitio…ners. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.