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

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

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

Alternating Direction Method of Multipliers for Support Vector Machine

Distributed Multidisciplinary Design Optimization

A Unified Pytorch Optimizer for Numerical Optimization

SciPy style API for NLopt

data-driven incentive mechanisms for federated learning in vehicular networks

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