Results 121 to 130 of about 7,185 (222)

Parameters estimation in a penalized multivariate regression models using ADMM

openQuesto studio affronta le sfide della selezione delle variabili e della riduzione della dimensionalità nell'analisi di grandi volumi di dati.
MIETTO, PIETRO
core  

Distributed ADMM with linear updates over directed networks

, 2023
We propose a distributed version of the Alternating Direction Method of Multipliers (ADMM) with linear updates for directed networks. We show that if the objective function of the minimization problem is smooth and strongly convex, our distributed ADMM ...
Rokade, Kiran, Kalaimani, Rachel Kalpana
core  

Regularised ADMM reconstruction algorithm for X-ray CT (ADMM-tomo)

, 2018
<p>Regularised ADMM-type iterative reconstruction algorithm for X-ray tomographic reconstruction.</p> <p>Software highlights:</p> <ul> <li>Tomographic projection data are simulated without the "inverse crime ...
Kazantsev Daniil (5560526), Kazantsev Daniil   +1 more
core   +1 more source

Distributed power supply restoration method for distribution network based on improved ADMM

Diance yu yibiao
In order to speed up the solving efficiency of the power supply restoration method of distribution network after failure, this paper presents a multi-period distributed power supply restoration method for distribution network based on improved ...
HAI Di, ZHANG Ruiying, CHENG Jiangdong, DUAN Yu, WANG Yingzi, LIN Lin   +5 more
doaj   +1 more source

Centering ADMM for the Semidefinite Relaxation of the QAP

, 2020
We propose a new method for solving the semidefinite (SD) relaxation of the quadratic assignment problem (QAP), called Centering ADMM. Centering ADMM is an alternating direction method of multipliers (ADMM) combining the centering steps used in the ...
Kanoh, Shin-ichi, Yoshise, Akiko
core  

Fast Incremental ADMM for Decentralized Consensus Multi-Agent Optimization

The alternating direction method of multipliers (ADMM) has been recently recognized as well-suited for solving distributed optimization problems among multiple agents. Nonetheless, there remains a scarcity of research exploring ADMM's communication costs.
Ye, Yu,, Xiao, Guoqiang,, You, Yang,, Xu, Qianwen,   +3 more
core   +1 more source

Two-layer asynchronous distributed optimal voltage control for VSC-HVDC-connected large-scale wind farm clusters

International Journal of Electrical Power & Energy Systems
This study proposes a two-layer asynchronous distributed optimal voltage control (TADOVC) scheme for voltage source converter high voltage direct current (VSC-HVDC)-connected large-scale wind farm clusters (WFCs).
Fuyan Liu, Feifan Shen, Pan Hu, HeSong Cui, Sheng Huang, Ji Zhang, Xia Ma, Kun He   +7 more
doaj   +1 more source

Graph-Based Few-Shot Learning for Synthetic Aperture Radar Automatic Target Recognition with Alternating Direction Method of Multipliers

Remote Sensing
Synthetic aperture radar (SAR) automatic target recognition (ATR) underpins various remote sensing tasks, such as defense surveillance, environmental monitoring, and disaster management.
Jing Jin, Zitai Xu, Nairong Zheng, Feng Wang   +3 more
doaj   +1 more source

ll metodo ADMM per la regolarizzazione con Variazione Totale Generalizzata

, 2020
La tesi tratta del Metodo dei Moltiplicatori a Direzione Alternata (ADMM) per il problema di ricostruzione di immagini con il funzionale di Variazione Totale Generalizzata (TGV). Tale funzionale è convesso e dipende da due parametri positivi reali il cui
Bagli, Maria Chiara
core  

MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction

, 2023
This paper investigates the application of unsupervised learning methods for computed tomography (CT) reconstruction. To motivate our work, we review several existing priors, namely the truncated Gaussian prior, the $l_1$ prior, the total variation prior,
Cheng, Chen, Zhou, Qingping
core