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.

Data Structures for Optimization Models

Tools for developing nonlinear optimization solvers.

A thin IPOPT wrapper for NLPModels

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

An object-oriented algebraic modeling language in Python for structured optimization problems.

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Gurobi compilation of RDDL description files to mixed-integer programs, and optimization tools.

Python API for AMPL

AMPL Model Colaboratory

A Julia interface to AMPL-enabled solvers

Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control

R API for AMPL

A large scale non-linear optimization library

A Julia interface to the Ipopt nonlinear solver

Nonlinear programming application examples solved with Artelys Knitro

A Julia interface to the Artelys Knitro solver

A Julia interface to the FICO Xpress Optimization suite

Data-Driven Mathematical Optimization with AMPL in Python