Metadata-Version: 2.1
Name: Pyomo
Version: 6.4.4
Summary: Pyomo: Python Optimization Modeling Objects
Home-page: http://pyomo.org
Maintainer: Pyomo Developer Team
Maintainer-email: pyomo-developers@googlegroups.com
License: BSD
Project-URL: Documentation, https://pyomo.readthedocs.io/
Project-URL: Source, https://github.com/Pyomo/pyomo
Description: [![a COIN-OR project](https://www.coin-or.org/GitHub/coin-or-badge.png)](https://www.coin-or.org)
        
        ## Pyomo Overview
        
        Pyomo is a Python-based open-source software package that supports a
        diverse set of optimization capabilities for formulating and analyzing
        optimization models. Pyomo can be used to define symbolic problems,
        create concrete problem instances, and solve these instances with
        standard solvers. Pyomo supports a wide range of problem types,
        including:
        
         -  Linear programming
         -  Quadratic programming
         -  Nonlinear programming
         -  Mixed-integer linear programming
         -  Mixed-integer quadratic programming
         -  Mixed-integer nonlinear programming
         -  Mixed-integer stochastic programming
         -  Generalized disjunctive programming
         -  Differential algebraic equations
         -  Mathematical programming with equilibrium constraints
         -  Constraint programming
        
        Pyomo supports analysis and scripting within a full-featured programming
        language. Further, Pyomo has also proven an effective framework for
        developing high-level optimization and analysis tools.  For example, the
        [`mpi-sppy`](https://github.com/Pyomo/mpi-sppy) package provides generic
        solvers for stochastic programming. `mpi-sppy` leverages the fact that
        Pyomo's modeling objects are embedded within a full-featured high-level
        programming language, which allows for transparent parallelization of
        subproblems using Python parallel communication libraries.
        
        * [Pyomo Home](http://www.pyomo.org)
        * [About Pyomo](http://www.pyomo.org/about)
        * [Download](http://www.pyomo.org/installation/)
        * [Documentation](http://www.pyomo.org/documentation/)
        * [Performance Plots](https://software.sandia.gov/downloads/pub/pyomo/performance/index.html)
        
        Pyomo was formerly released as the Coopr software library.
        
        Pyomo is available under the BSD License - see the 
        [`LICENSE.md`](https://github.com/Pyomo/pyomo/blob/main/LICENSE.md) file.
        
        Pyomo is currently tested with the following Python implementations:
        
        * CPython: 3.7, 3.8, 3.9, 3.10, 3.11
        * PyPy: 3.7, 3.8, 3.9
        
        ### Installation
        
        #### PyPI [![PyPI version](https://img.shields.io/pypi/v/pyomo.svg?maxAge=3600)](https://pypi.org/project/Pyomo/) [![PyPI downloads](https://img.shields.io/pypi/dm/pyomo.svg?maxAge=21600)](https://pypistats.org/packages/pyomo)
        
            pip install pyomo
        
        #### Anaconda [![Anaconda version](https://anaconda.org/conda-forge/pyomo/badges/version.svg)](https://anaconda.org/conda-forge/pyomo) [![Anaconda downloads](https://anaconda.org/conda-forge/pyomo/badges/downloads.svg)](https://anaconda.org/conda-forge/pyomo)
        
            conda install -c conda-forge pyomo
        
        ### Tutorials and Examples
        
        * [Pyomo Workshop Slides](https://software.sandia.gov/downloads/pub/pyomo/Pyomo-Workshop-Summer-2018.pdf)
        * [Prof. Jeffrey Kantor's Pyomo Cookbook](https://jckantor.github.io/ND-Pyomo-Cookbook/)
        * [Pyomo Gallery](https://github.com/Pyomo/PyomoGallery)
        
        ### Getting Help
        
        To get help from the Pyomo community ask a question on one of the following:
        * [Use the #pyomo tag on StackOverflow](https://stackoverflow.com/questions/ask?tags=pyomo)
        * [Pyomo Forum](https://groups.google.com/forum/?hl=en#!forum/pyomo-forum)
        
        ### Developers
        
        Pyomo development moved to this repository in June, 2016 from
        Sandia National Laboratories. Developer discussions are hosted by
        [Google Groups](https://groups.google.com/forum/#!forum/pyomo-developers).
        
        By contributing to this software project, you are agreeing to the
        following terms and conditions for your contributions:
        
        1. You agree your contributions are submitted under the BSD license. 
        2. You represent you are authorized to make the contributions and grant
           the license. If your employer has rights to intellectual property that
           includes your contributions, you represent that you have received
           permission to make contributions and grant the required license on
           behalf of that employer.
        
        
        ### Related Packages
        
        See https://pyomo.readthedocs.io/en/latest/related_packages.html.
        
Keywords: optimization
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: docs
Provides-Extra: optional
