#计算机科学#Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Python interface for the SCIP Optimization Suite
#自然语言处理#An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
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 inte...
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
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., COBY...
A next-gen SQP & barrier solver for nonlinearly constrained optimization
skscope: Sparse-Constrained OPtimization via itErative-solvers
Represent trained machine learning models as Pyomo optimization formulations
An intuitive modeling interface for infinite-dimensional optimization problems.
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
A Julia interface to the NLopt nonlinear-optimization library
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers,...
HPC solver for nonlinear optimization problems
iterative Linear Quadratic Regulator with constraints.
Data Structures for Optimization Models
A JuMP-based Nonlinear Integer Program Solver
#学习与技能提升#A toolkit for testing control and planning algorithm for car racing.