Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

[TVCG 2021] Mesh Total Generalized Variation for Denoising

Library for nonconvex constrained optimization using the augmented Lagrangian method and the matrix-free PANOC algorithm.

This repo collects results of nonlinear optimization solvers on standard benchmark problems

Alternating Direction Method of Multipliers for Support Vector Machine

Distributed Multidisciplinary Design Optimization

A Unified Pytorch Optimizer for Numerical Optimization

data-driven incentive mechanisms for federated learning in vehicular networks

SciPy style API for NLopt

Low-Rank Augmented Lagrangian algorithm designed to solve large-scale SDP problems.

keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation