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Titlebook: Pyomo — Optimization Modeling in Python; William E. Hart,Carl D. Laird,John D. Siirola Textbook 20172nd edition Springer International Pub

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書目名稱Pyomo — Optimization Modeling in Python
編輯William E. Hart,Carl D. Laird,John D. Siirola
視頻videohttp://file.papertrans.cn/765/764187/764187.mp4
概述Unique book describing the user-friendly Pyomo modeling tool, the most comprehensive open source modeling software that can model linear programs, integer programs, nonlinear programs, stochastic prog
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Pyomo — Optimization Modeling in Python;  William E. Hart,Carl D. Laird,John D. Siirola Textbook 20172nd edition Springer International Pub
描述.?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..Pyomois 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 f
出版日期Textbook 20172nd edition
關鍵詞Pyomo modeling library; Python optimization; modeling and simulation; mathematical modeling tool; algebr
版次2
doihttps://doi.org/10.1007/978-3-319-58821-6
isbn_softcover978-3-319-86482-2
isbn_ebook978-3-319-58821-6Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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