Description: Pyomo - Optimization Modeling in Python Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781489993250, 978-1489993250 Synopsis 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 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 software supports a different modeling approach than commercial AML (Algebraic Modeling Languages) tools, and is designed for flexibility, extensibility, portability, and maintainability but also maintains the central ideas in modern AMLs.
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Book Title: Pyomo - Optimization Modeling in Python
Number of Pages: 238 Pages
Language: English
Publication Name: Pyomo-Optimization Modeling in Python
Publisher: Springer-Verlag New York Inc.
Publication Year: 2014
Subject: Computer Science, Mathematics, Management
Item Height: 235 mm
Item Weight: 397 g
Type: Textbook
Author: William E. Hart, Jean-Paul Watson, Carl Laird, David L. Woodruff
Subject Area: Data Analysis
Series: Springer Optimization and Its Applications
Item Width: 155 mm
Format: Paperback
