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Titlebook: Pyomo – Optimization Modeling in Python; William E. Hart,Carl Laird,David L. Woodruff Textbook 20121st edition Springer Science+Business M

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书目名称Pyomo – Optimization Modeling in Python
编辑William E. Hart,Carl Laird,David L. Woodruff
视频video
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
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Pyomo – Optimization Modeling in Python;  William E. Hart,Carl Laird,David L. Woodruff Textbook 20121st edition Springer Science+Business M
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
关键词Optimization textbook; Python software; Sandia optimization software; algebraic modeling language; mathe
版次1
doihttps://doi.org/10.1007/978-1-4614-3226-5
isbn_softcover978-1-4899-9325-0
isbn_ebook978-1-4614-3226-5Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer Science+Business Media, LLC 2012
The information of publication is updating

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