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 Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

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

Tutorials on using JuMP for mathematical optimization in Julia

A library of modern Fortran modules for nonlinear optimization

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

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

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

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