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Michael L. Bynum,Gabriel A. Hackebeil,William E. Hart,Carl D. Laird,Bethany L. Nicholson,John D. Siirola,Jean-Paul Watson,David L. Woodruff

Pyomo - Optimization Modeling in Python

Pyomo - Optimization Modeling in Python

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  • More about Pyomo - Optimization Modeling in Python


This book is a complete and comprehensive guide to Pyomo, an open-source software package for formulating and solving large-scale optimization problems. It covers topics such as concrete models, algebraic expressions, and optimizers, and is suitable for beginners and advanced modelers.

Format: Paperback / softback
Length: 225 pages
Publication date: 01 April 2022
Publisher: Springer Nature Switzerland AG


This comprehensive guide to Pyomo (Python Optimization Modeling Objects) is designed for beginners and advanced modelers, including undergraduate and graduate students, academic researchers, and practitioners. Through numerous examples, it elucidates the wide range of modeling capabilities supported by Pyomo, showcasing its ability to handle complex real-world applications. In the third edition, the content has been extensively reorganized, new examples have been added, and a dedicated chapter has been introduced to guide modelers in improving the performance of their models.

A significant shift in this edition is the emphasis on concrete models, offering greater flexibility in specifying and utilizing Pyomo models. Pyomo is an open-source software package that facilitates the formulation and solution of large-scale optimization problems. It extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools.

Pyomo is a versatile, extensible, and portable AML embedded in Python, a full-featured scripting language. Python is renowned for its clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, enabling the formulation of algebraic expressions that represent objectives and constraints. Furthermore, Pyomo can be utilized from a command-line interface and within Python's interactive command environment, making it convenient to create Pyomo models, apply various optimizers, and analyze solutions.

Weight: 379g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030689308
Edition number: 3rd ed. 2021

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