Python interface for the SCIP Optimization Suite
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Updated
Jun 6, 2024 - JetBrains MPS
Python interface for the SCIP Optimization Suite
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Represent trained machine learning models as Pyomo optimization formulations
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
Nonconvex embedded optimization: code generation for fast real-time optimization
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Package to call the NLopt nonlinear-optimization library from the Julia language
An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.
MATLAB implementations of a variety of nonlinear programming algorithms.
HPC solver for nonlinear optimization problems
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
iterative Linear Quadratic Regulator with constraints.
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
Data Structures for Optimization Models
Lightweighted graph optimization (Factor graph) library.
A toolkit for testing control and planning algorithm for car racing.
Powell's Derivative-Free Optimization solvers.
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
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