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Py-pyomo
Jul 20, 2023
Python Optimization Modeling Objects
Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models.
Modeling optimization applications is a core capability of Pyomo. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Thus, Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries. 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
- Bilevel programming
- Mathematical programming with equilibrium constraints
Checkout these related ports:
- Zn_poly - C library for polynomial arithmetic
- Zimpl - Language to translate the LP models into .lp or .mps
- Zegrapher - Software for plotting mathematical objects
- Zarray - Dynamically typed N-D expression system based on xtensor
- Z3 - Z3 Theorem Prover
- Yices - SMT solver
- Yacas - Yet Another Computer Algebra System
- Xtensor - Multi-dimensional arrays with broadcasting and lazy computing
- Xtensor-python - Python bindings for xtensor
- Xtensor-io - Xtensor plugin to read/write images, audio files, numpy npz and HDF5
- Xtensor-blas - BLAS extension to xtensor
- Xspread - Spreadsheet program for X and terminals
- Xppaut - Graphical tool for solving differential equations, etc
- Xplot - X11 plotting package
- Xlife++ - XLiFE++ eXtended Library of Finite Elements in C++