Pyomo ― Optimization Modeling in Python (Springer Optimization and Its Applications)

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Description

​This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students on the undergraduate and graduate levels, academic researchers, and practitioners. The usage of many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities which 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 with a view to 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 for the reason that first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming.

Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by brand new AML (Algebraic Modeling Language) tools. Pyomo is a versatile, extensible, and portable AML that may be 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 utilized to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be utilized from a command-line interface and within Python’s interactive command environment, which makes it easy to create Pyomo models, apply a number of optimizers, and examine solutions.

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