Results 41 to 50 of about 167,968,449 (203)

Improving Rate of Convergence via Gain Adaptation in Multi-Agent Distributed ADMM Framework

open access: yesIEEE Access, 2020
In this paper, the Alternating Direction Method of Multipliers (ADMM) is investigated for distributed optimization problems in a networked multi-agent system.
Towfiq Rahman   +2 more
doaj   +1 more source

Extension of ADMMAlgorithmin Solving Optimal Control Model Governed by Partial Differential Equation

open access: yesJournal of Nigerian Society of Physical Sciences, 2021
This paper presents an Algorithm for the numerical solution of the Optimal Control model constrained by Partial Differential Equation using the Alternating Direction Method of Multipliers (ADMM) accelerated with a parameter factor in the sense of ...
Kazeem adebowale Dawodu
doaj   +1 more source

On convergence rates of proximal alternating direction method of multipliers [PDF]

open access: yes, 2023
In this paper we consider from two different aspects the proximal alternating direction method of multipliers (ADMM) in Hilbert spaces. We first consider the application of the proximal ADMM to solve well-posed linearly constrained two-block separable ...
Jin, Qinian
core   +1 more source

ADMM-Based Differential Privacy Learning for Penalized Quantile Regression on Distributed Functional Data

open access: yesMathematics, 2022
Alternating Direction Method of Multipliers (ADMM) is a widely used machine learning tool in distributed environments. In the paper, we propose an ADMM-based differential privacy learning algorithm (FDP-ADMM) on penalized quantile regression for ...
Xingcai Zhou, Yu Xiang
doaj   +1 more source

Bi-alternating direction method of multipliers

open access: yes, 2013
The alternating-direction method of multipliers (ADMM) has been widely applied in the field of distributed optimization and statistic learning. ADMM iteratively approaches the saddle point of an augmented Lagrangian function by performing three updates ...
Zhang, G   +3 more
core   +1 more source

An Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal

open access: yesAbstract and Applied Analysis, 2013
A combined total variation and high-order total variation model is proposed to restore blurred images corrupted by impulse noise or mixed Gaussian plus impulse noise. We attack the proposed scheme with an alternating direction method of multipliers (ADMM)
Si Wang   +3 more
doaj   +1 more source

A numerical Optimization of an Evaporative in HDH Desalination System: A Comparative Analysis of ADMM and Quadratic Programming [PDF]

open access: yesE3S Web of Conferences
Evaporative systems play a crucial role in various industrial and environmental applications, offering energy-efficient cooling and humidification solutions. Optimizing these systems can significantly improve their performance and sustainability.
El Aouni Ibtissam   +5 more
doaj   +1 more source

Learning-Based Signal Detection for Wireless OAM-MIMO Systems With Uniform Circular Array Antennas

open access: yesIEEE Access, 2020
This paper presents a neural-like network-based signal detection method for orbital angular momentum multiplexing systems with uniform circular array antennas.
Norifumi Kamiya
doaj   +1 more source

Towards Faster Fetal 3D CINE Cardiac MRI Reconstruction Using Region‐Optimized Virtual Coils (ROVir)

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and evaluate, in a feasibility study, a computationally efficient image‐reconstruction pipeline for 3D balanced steady state free precession (bSSFP) CINE fetal cardiac MRI that reduces radial streaking artifacts, increases effective temporal resolution, and improves diagnostic image quality compared with previous work ...
Marjolein Piek   +5 more
wiley   +1 more source

Efficient State Estimation in Power Networks for Reactive Power Losses Compensation [PDF]

open access: yes, 2013
We consider the problem of optimal reactive power compensation for the minimization of power distribution losses in a smart microgrid with raw measurements. We provide two distributed estimation algorithms, one ADMM-based and one JACOBI-like, in order to
Di Vittorio, Alberto
core  

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