Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
-
Updated
Mar 7, 2023 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
An object-oriented algebraic modeling language in Python for structured optimization problems.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Python interface for the SCIP Optimization Suite
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
oj! Algorithms
Represent trained machine learning models as Pyomo optimization formulations
My sandbox for experimenting with solver algorithms.
Tutorials on using JuMP for mathematical optimization in Julia
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
A library of modern Fortran modules for nonlinear optimization
provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP
JuMP-based toolbox for solving bilevel optimization problems
An extensible MINLP solver
Image processing tutorials
An open source framework for interactive multiobjective optimization methods
Exact solutions for two-dimensional bin packing problems by branch-and-cut
Special Structure Detection for Pyomo
A scala library for IBM ILOG CPLEX
This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.
Add a description, image, and links to the mathematical-programming topic page so that developers can more easily learn about it.
To associate your repository with the mathematical-programming topic, visit your repo's landing page and select "manage topics."