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Pyomo – Optimization Modeling in Python (Springer Optimization and Its Applications Book 67) by Hart, William E., Laird, Carl, Watson, Jean-Paul, Woodruff, David L. is a nonfiction available to read on EtoBox.
What is Pyomo – Optimization Modeling in Python (Springer Optimization and Its Applications Book 67) about?
Annotation This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are supported by the software and support of complex real-world applications. Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from data sources like spreadsheets and databases. Chapters describing advanced modeling capabilities for nonlinear and stochastic optimization are also included. The Pyomo software provides familiar modeling features within Python, a powerful 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, wh
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- Author
- Hart, William E., Laird, Carl, Watson, Jean-Paul, Woodruff, David L.
- Publisher
- Springer
- Published
- 2012
- Language
- EN
- ISBN
- 9781461432258
- Category
- nonfiction
- Subjects
- Mathematics, Optimization. Operations Research, Stem
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