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

Represent trained machine learning models as Pyomo optimization formulations

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

A next-gen solver for nonconvex optimization. Uno is a Lagrange-Newton solver that 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.

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.