0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (3)
  • -
Status
Brand

Showing 1 - 3 of 3 matches in All Departments

Pyomo - Optimization Modeling in Python (Hardcover, 3rd ed. 2021): Michael L. Bynum, Gabriel A. Hackebeil, William E Hart, Carl... Pyomo - Optimization Modeling in Python (Hardcover, 3rd ed. 2021)
Michael L. Bynum, Gabriel A. Hackebeil, William E Hart, Carl D. Laird, Bethany L. Nicholson, …
R1,844 Discovery Miles 18 440 Ships in 9 - 15 working days

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.

Pyomo - Optimization Modeling in Python (Paperback, 3rd ed. 2021): Michael L. Bynum, Gabriel A. Hackebeil, William E Hart, Carl... Pyomo - Optimization Modeling in Python (Paperback, 3rd ed. 2021)
Michael L. Bynum, Gabriel A. Hackebeil, William E Hart, Carl D. Laird, Bethany L. Nicholson, …
R1,491 Discovery Miles 14 910 Ships in 10 - 15 working days

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.

Pyomo - Optimization Modeling in Python (Paperback, Softcover reprint of the original 2nd ed. 2017): William E Hart, Carl D.... Pyomo - Optimization Modeling in Python (Paperback, Softcover reprint of the original 2nd ed. 2017)
William E Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, …
R1,707 Discovery Miles 17 070 Ships in 12 - 17 working days

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.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Lifespace Quality 58cm Bowl Firepit
R1,500 R1,099 Discovery Miles 10 990
Baby Dove Lotion Rich Moisture 200ml
R50 Discovery Miles 500
The Papery A5 WOW 2025 Diary - Butterfly
R349 R300 Discovery Miles 3 000
Mancera Mancera Black Gold Eau De Parfum…
R4,252 R3,462 Discovery Miles 34 620
ZA Key ring - Blue
R199 Discovery Miles 1 990
Tenet
John David Washington, Robert Pattinson Blu-ray disc  (1)
R50 Discovery Miles 500
Carbon City Zero - A Collaborative Board…
Rami Niemi Game R629 Discovery Miles 6 290
I Shouldnt Be Telling You This
Jeff Goldblum, The Mildred Snitzer Orchestra CD R61 Discovery Miles 610
Elecstor 18W In-Line UPS (Black)
R999 R404 Discovery Miles 4 040
Everlotus CD DVD wallet, 72 discs
 (1)
R129 R99 Discovery Miles 990

 

Partners