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 Machines

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

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

Distributed Multidisciplinary Design Optimization

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

Trajectory Optimization using Augment Lagrangian and iLQR

SciPy style API for NLopt

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

Proximal augmented Lagrangian method for solving nonconvex structured optimization problems.

data-driven incentive mechanisms for federated learning in vehicular networks

Scalable Algorithms for Multi Period Optimal Power Flow (MPOPF) in Active Distribution Systems (with Batteries and Solar PVs) complete with OpenDSS Validation

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

Constrained optimization methods and theory, including KKT conditions, duality, sensitivity analysis, penalty methods, and augmented Lagrangian methods.