Results 11 to 20 of about 7,185 (222)

ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network

open access: yesPhotonics, 2022
In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective method for reducing radiation doses. The iterative reconstruction method is usually adopted for sparse-view CT.
Sukai Wang, Xuan Li, Ping Chen
doaj   +3 more sources

ADMM-Softmax: an ADMM approach for multinomial logistic regression [PDF]

open access: yesETNA - Electronic Transactions on Numerical Analysis, 2020
We present ADMM-Softmax, an alternating direction method of multipliers (ADMM) for solving multinomial logistic regression (MLR) problems. Our method is geared toward supervised classification tasks with many examples and features. It decouples the nonlinear optimization problem in MLR into three steps that can be solved efficiently.
Fung, Samy Wu   +3 more
openaire   +4 more sources

A Riemannian ADMM

open access: yesCoRR, 2022
We consider a class of Riemannian optimization problems where the objective is the sum of a smooth function and a nonsmooth function, considered in the ambient space. This class of problems finds important applications in machine learning and statistics such as the sparse principal component analysis, sparse spectral clustering, and orthogonal ...
Jiaxiang Li   +2 more
openaire   +3 more sources

Dynamic Sharing Through the ADMM [PDF]

open access: yesIEEE Transactions on Automatic Control, 2020
In this paper, we study a dynamic version of the sharing problem, in which a dynamic system cost function composed of time-variant local costs of subsystems and a shared time-variant cost of the whole system is minimized. A dynamic alternating direction method of multipliers (ADMM) is proposed to track the varying optimal points of the dynamic ...
Xuanyu Cao, K. J. Ray Liu
openaire   +4 more sources

Многоблочный метод ADMM с ускорением Нестерова

open access: yesМіжнародний науково-технічний журнал "Проблеми керування та інформатики", 2021
Метод ADMM (alternating direction methods of multipliers) широко используется для решения многих оптимизационных задач с помощью параллельных вычислений.
Владислав Анатолійович Григоренко   +2 more
doaj   +2 more sources

ADMM/ ADMM Plus As Cbm Through Non-Traditional Issues (ASEAN)

open access: yesInternational Journal Of Humanities Education and Social Sciences (IJHESS), 2023
The ADMM/ADMM Plus is the highest defense consultative and cooperative mechanism in ASEAN. Its primary aim is to promote mutual trust and confidence among participating countries by facilitating a greater understanding of defense and security challenges, as well as enhancing transparency and openness.
Alma Evelinda Silalahi
openaire   +3 more sources

The symmetric ADMM with indefinite proximal regularization and its application [PDF]

open access: yesJournal of Inequalities and Applications, 2017
Due to updating the Lagrangian multiplier twice at each iteration, the symmetric alternating direction method of multipliers (S-ADMM) often performs better than other ADMM-type methods.
Hongchun Sun, Maoying Tian, Min Sun
doaj   +2 more sources

DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization [PDF]

open access: yes2021 60th IEEE Conference on Decision and Control (CDC), 2021
In a multi-agent network, we consider the problem of minimizing an objective function that is expressed as the sum of private convex and smooth functions, and a (possibly) non-differentiable convex regularizer. We propose a novel distributed second-order method based on the framework of Alternating Direction Method of Multipliers (ADMM), by invoking ...
Yichuan Li 0004   +3 more
openaire   +2 more sources

RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removal

open access: yesIEEE Communications Letters
5 ...
Peng Chen 0018   +3 more
openaire   +3 more sources

SI-ADMM: A Stochastic Inexact ADMM Framework for Stochastic Convex Programs [PDF]

open access: yesIEEE Transactions on Automatic Control, 2020
37 pages, 2 figures, 3 ...
Yue Xie, Uday V. Shanbhag
openaire   +2 more sources

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