Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
- Updated
May 13, 2025 - 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
A data structure for mathematical optimization problems
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
A next-gen SQP & barrier solver for nonlinearly constrained optimization
Represent trained machine learning models as Pyomo optimization formulations
Efficient modeling interface for mathematical optimization in Python
My sandbox for experimenting with solver algorithms.
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
A library of modern Fortran modules for nonlinear optimization
Tutorials on using JuMP for mathematical optimization in Julia
A V2G Simulation Environment for large scale EV charging optimization
An Extension Library for Unity.Mathematics - Extension Methods, New Syntax, Optimized Functions, and more !
Mathematical Programming in JAX
provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
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."