Results 101 to 110 of about 16,083 (234)

Evaluation of the Performance of the Alternating Direction Method of Multipliers in Artificial Neural Networks [PDF]

openThis thesis presents a comprehensive evaluation of the Alternating Direction Method of Multipliers (ADMM) algorithm for neural network optimization, comparing its performance against traditional gradient-based methods, including Gradient Descent (GD)
MEDA, ERGYS
core  

Stochastic alternating direction method of multipliers

, 2015
The alternating direction method of multipliers (ADMM) is an efficient optimization solver for a wide variety of machine learning models. Recently, stochastic ADMM has been integrated with variance reduction methods for stochastic gradient, leading to ...
Zheng, Shuai
core  

An Optimal ADMM for Unilateral Obstacle Problems

Mathematics
We propose a new alternating direction method of multipliers (ADMM) with an optimal parameter for the unilateral obstacle problem. We first use the five-point difference scheme to discretize the problem.
Shougui Zhang, Xiyong Cui, Guihua Xiong, Ruisheng Ran   +3 more
doaj   +1 more source

Efficient Data Gathering Methods in Wireless Sensor Networks Using GBTR Matrix Completion

Sensors, 2016
To obtain efficient data gathering methods for wireless sensor networks (WSNs), a novel graph based transform regularized (GBTR) matrix completion algorithm is proposed.
Donghao Wang, Jiangwen Wan, Zhipeng Nie, Qiang Zhang, Zhijie Fei   +4 more
doaj   +1 more source

Sequential inertial linear ADMM algorithm for nonconvex and nonsmooth multiblock problems with nonseparable structure

Journal of Inequalities and Applications
The alternating direction method of multipliers (ADMM) has been widely used to solve linear constrained problems in signal processing, matrix decomposition, machine learning, and many other fields.
Zhonghui Xue, Kaiyuan Yang, Qianfeng Ma, Yazheng Dang   +3 more
doaj   +1 more source

A parallel alternating direction method with application to compound l(1)-regularized imaging inverse problems

, 2016
We derive a parallel alternating direction method of multipliers (PADMM) and apply it to compound l(1)-regularized imaging inverse problems. The proposed method is capable of locating the saddle point of large-scale convex minimization problems with the ...
Hu, Changhua, Zhang, Wei, He, Chuan, Yang, Xiaogang, Li, Xuelong   +4 more
core   +1 more source

Parallel and distributed Machine Learning on Augmented Lagrangian Algorithms [PDF]

International Journal of Electronics and Telecommunications
Constrained optimization is central to large-scale machine learning, particularly in parallel and distributed environments. This paper presents a comprehensive study of augmented Lagrangian–based algorithms for such problems, including classical ...
Anthony Nwachukwu, Andrzej Karbowski
doaj   +1 more source

An alternating direction method of multipliers for inverse lithography problem

, 2023
We propose an alternating direction method of multipliers (ADMM) to solve an optimization problem stemming from inverse lithography. The objective functional of the optimization problem includes three terms: the misfit between the imaging on wafer and ...
Liu, Haibo, Chen, Junqing
core  

Short‐range SAR imaging with a fast adaptive plug‐and‐play ADMM‐based approach

Electronics Letters
This study presents a method for short‐range synthetic aperture radar (SAR) imaging employing a fast adaptive plug‐and‐play framework based on the alternating direction method of multipliers (ADMM).
The Hien Pham, Ic Pyo Hong
doaj   +1 more source

Multi-parameter wavefield reconstruction inversion with the alternating direction method of multipliers (ADMM) and compound regularization

Imagerie sismique multi-paramètre par reconstruction de champs d'ondes : apport de la méthode des multiplicateurs de Lagrange avec directions alternées (ADMM) et des régularisations hybrides La FWI (Full Waveform Inversion) est un problème d'optimisation sous contraintes dédié à l'estimation des paramètres constitutifs du sous-sol à ...
openaire   +2 more sources