Constrained optimization for Pytorch using the SQP-GS algorithm
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Updated
May 24, 2024 - Python
Constrained optimization for Pytorch using the SQP-GS algorithm
Powell's Derivative-Free Optimization solvers.
This repository provides the codes for simulating a data-driven safety preserving control architecture for constrained cyber physical systems under cyber attacks.
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP (SQP) and IPOPT (barrier/interior-point method) in a modern and modular way, and unlocks methods never seen before. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
A Python Library for modeling combinatorial constrained problems
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
High-performance metaheuristics for optimization coded purely in Julia.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
[ICML 2024] Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimize seam-lengths while satisfying user-requested distortion bounds.
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.
Generalized and Efficient Blackbox Optimization System
Bazinga.jl: a toolbox for constrained composite optimization
A PyTorch implementation of constrained optimization and modeling techniques
HPC solver for nonlinear optimization problems
Constraint Solver ACE
Convex, Nonsmooth, Nonlinear Optimization Solver and Problems
A general-purpose, deep learning-first library for constrained optimization in PyTorch
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