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＜電子ブック＞
Pyomo – Optimization Modeling in Python / by William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff
(Springer Optimization and Its Applications. ISSN:19316836 ; 67)

版	1st ed. 2012.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2012
本文言語	英語
大きさ	XVIII, 238 p : online resource
著者標目	*Hart, William E author Laird, Carl author Watson, Jean-Paul author Woodruff, David L author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Computer simulation LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Computer software LCSH:Operations research LCSH:Management science FREE:Optimization FREE:Computer Modelling FREE:Computational Mathematics and Numerical Analysis FREE:Mathematical Applications in Computer Science FREE:Mathematical Software FREE:Operations Research, Management Science
一般注記	Preface -- 1. Introduction -- 2. Pyomo Modeling Strategies -- 3. Model Components: Variables, Objectives and Constraints -- 4. Model Components: Sets and Parameters -- 5. Mischellaneous Model Components and Utility Functions -- 6. Initializing Abstract Models with Data Command Files -- 7. The Pyomo Command-Line Interface -- 8. Nonlinear Programming with Pyomo -- 9. Stochastic Programming Extensions -- 10. Scripting and Algorithm Development -- A. Installing Coopr -- B. A Brief Python Tutorial -- C. Pyomo and Coopr: The Bigger Picture -- Index 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. Modeling is a fundamental process in many aspects of scientific research, engineering, and business. This text beautifully illustrates the breadth of the modeling capabilities that are supported by this new software and its handling of complex real-world applications.   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-featured scripting language. Python is a powerful and 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 used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions.   The text begins with a tutorial on simple linear and integer programming models. Information needed to install and get started with the software is also provided. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from sources like spreadsheets and databases. The final chapters cover advanced topics such as nonlinear models, stochastic models, and scripting examples HTTP:URL=https://doi.org/10.1007/978-1-4614-3226-5

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