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.

PECANNs: Physics and Equality Constrained Artificial Neural Networks

[TVCG 2021] Mesh Total Generalized Variation for Denoising

Alternating Direction Method of Multipliers for Support Vector Machine

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.

A Unified Pytorch Optimizer for Numerical Optimization

PECANN-CAPU: Physics and Equality Constrained Artificial Neural Networks with the Conditionally Adaptive Penalty Update Algorithm

This version introduces a Schwarz-type, non-overlapping domain decomposition method for parallel training of PECANNs.

Trajectory Optimization using Augment Lagrangian and iLQR

Distributed Multidisciplinary Design Optimization

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

SciPy style API for NLopt

Proximal augmented Lagrangian method for solving nonconvex structured optimization problems.

data-driven incentive mechanisms for federated learning in vehicular networks

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

Numerical Optimization Algorithms(MECH 579) - Coding From Scratch

Self-tuning SAE trainer: train a sparse autoencoder on every layer of any model in one unattended run. No per-layer retuning. Using an augmented-Lagrangian controller hits the sparsity target mid-run instead of restarting on failure.