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

A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

My sandbox for experimenting with solver algorithms.

A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT

Tutorials on using JuMP for mathematical optimization in Julia

A library of modern Fortran modules for nonlinear optimization

Efficient modeling interface for mathematical optimization in Python

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

An Extension Library for Unity.Mathematics - Extension Methods, New Syntax, Optimized Functions, and more !

Exact solutions for two-dimensional bin packing problems by branch-and-cut

JuMP-based toolbox for solving bilevel optimization problems

An extensible MINLP solver

An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.