Opening book details…
Can I read Pyomo ― Optimization Modeling in Python (Springer Optimization and Its Applications, 67) on EtoBox?
Pyomo ― Optimization Modeling in Python (Springer Optimization and Its Applications, 67) by Michael L Bynum; Gabriel A Hackebeil; William E Hart; Carl D Laird; Bethany L Nicholson; John Daniel Siirola; Jean-Paul Watson; David L Woodruff; et al is a nonfiction available to read on EtoBox.
What is Pyomo ― Optimization Modeling in Python (Springer Optimization and Its Applications, 67) about?
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-feature
Who reads Pyomo ― Optimization Modeling in Python (Springer Optimization and Its Applications, 67)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Michael L Bynum; Gabriel A Hackebeil; William E Hart; Carl D Laird; Bethany L Nicholson; John Daniel Siirola; Jean-Paul Watson; David L Woodruff; et al
- Publisher
- Springer International Publishing AG
- Published
- 2021
- Language
- EN
- ISBN
- 9783030689285
- Category
- nonfiction
- Subjects
- Computer Science, Science, Business
Other editions & translations
More by Michael L Bynum; Gabriel A Hackebeil; William E Hart; Carl D Laird; Bethany L Nicholson; John Daniel Siirola; Jean-Paul Watson; David L Woodruff; et al
Similar books
- Advances in Mathematical Modeling, Optimization and Optimal Control (Springer Optimization and Its Applications, 109) — Jean-Baptiste Hiriart-Urruty, Adam Korytowski, Helmut Maurer, Maciej Szymkat (2016)
- Nonlinear Optimization with Engineering Applications Volume 19 || — Michael Bartholomew-Biggs (auth.) (2008)
- Modeling and Optimization: Theory and Applications Volume 21 || — John E. Mitchell, Jong-Shi Pang, Bin Yu (auth.), Tamás Terlaky, Frank E. Curtis (2012)
- Introduction to Applied Optimization (Springer Optimization and Its Applications Book 22) — Urmila M. Diwekar (2020)
- Advances in Modeling Agricultural Systems (Springer Optimization and Its Applications Book 25) — Petraq Papajorgji, Ryan Clark, Eric Jallas (auth.), Panos M. Pardalos, Petraq J. (2009)
- Optimization and Logistics Challenges in the Enterprise (Springer Optimization and Its Applications Book 30) — Ignacio E. Grossmann, Kevin C. Furman (auth.), Wanpracha Chaovalitwongse, Kevin C. Furman, Panos M. Pardalos (2009)