Pyomo Documentation 6.9.2

About Pyomo

Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating, solving, and analyzing optimization models.

A core capability of Pyomo is modeling structured optimization applications. Pyomo can be used to define general symbolic problems, create specific problem instances, and solve these instances using commercial and open-source solvers.

Contents

Getting Started Installation Pyomo Overview

How-To Guides Interrogating Models Manipulating Pyomo Models Solver Recipes Working with Abstract Models Debugging Models Contributing to Pyomo

Explanations Pyomo Philosophy Abstract Models Pyomo Component Design Pyomo Expressions Model Transformations Modeling in Pyomo Math Programming Dynamic Optimization with pyomo.DAE Generalized Disjunctive Programming MPEC Pyomo Network Units Handling in Pyomo Solvers Persistent Solvers GDPopt logic-based solver PyROS Solver MindtPy Solver MC++ Interface Multistart Solver Trust Region Framework Method Solver PyNumero z3 SMT Sat Solver Interface Analysis in Pyomo Generating Alternative (Near-)Optimal Solutions Community Detection for Pyomo models Pyomo.DoE Infeasibility Diagnostics Incidence Analysis MPC Parameter Estimation Sensitivity Toolbox Modeling Utilities “Flattening” a Pyomo model Latex Printing Nonlinear Preprocessing Transformations Model Scaling Transformation Developer Utilities The Pyomo Configuration System Deprecation and Removal of Functionality Experimental features The Kernel Library Future Solver Interface Changes

Reference Guides Topical Reference AML Library Reference Expression Reference Solver Interfaces Model Data Management APPSI (Auto-Persistent Pyomo Solver Interfaces) The Kernel Library API Reference Library Reference common contrib core dae dataportal duality environ future gdp kernel mpec neos network opt repn scripting solvers util version Accessing preview features Common Warnings/Errors Related Packages Publications Bibliography

Pyomo Resources

Pyomo development is hosted at GitHub:

• https://github.com/Pyomo/pyomo

See the Pyomo Forum for online discussions of Pyomo or to ask a question:

• http://groups.google.com/group/pyomo-forum/

Ask a question on StackOverflow using the #pyomo tag:

• https://stackoverflow.com/questions/ask?tags=pyomo

Additional Pyomo tutorials and examples can be found at the following links:

• Pyomo — Optimization Modeling in Python ([PyomoBookIII])

• Pyomo Workshop Slides and Exercises

• Prof. Jeffrey Kantor’s Pyomo Cookbook

• The companion notebooks for Hands-On Mathematical Optimization with Python

• Pyomo Gallery

Contributing to Pyomo

Interested in contributing code or documentation to the project? Check out our Contribution Guide

Related Packages

Pyomo is a key dependency for a number of other software packages for specific domains or customized solution strategies. A non-comprehensive list of Pyomo-related packages may be found here.

Citing Pyomo

If you use Pyomo in your work, please cite:

Bynum, Michael L., Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, and David L. Woodruff. Pyomo - Optimization Modeling in Python, 3rd Edition. Springer, 2021.

Additionally, several Pyomo capabilities and subpackages are described in further detail in separate Publications.