| 書目名稱 | Pyomo – Optimization Modeling in Python | | 編輯 | William E. Hart,Carl Laird,David L. Woodruff | | 視頻video | http://file.papertrans.cn/765/764186/764186.mp4 | | 概述 | Unique book describing the Pyomo modeling tool, the most comprehensive open source modeling software that can model linear programs, integer programs, nonlinear programs, stochastic programs and disju | | 叢書名稱 | Springer Optimization and Its Applications | | 圖書封面 |  | | 描述 | 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, which can be | | 出版日期 | Textbook 20121st edition | | 關(guān)鍵詞 | Optimization textbook; Python software; Sandia optimization software; algebraic modeling language; mathe | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-3226-5 | | isbn_softcover | 978-1-4899-9325-0 | | isbn_ebook | 978-1-4614-3226-5Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer Science+Business Media, LLC 2012 |
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