Results 31 to 40 of about 27,846 (265)
ADOM: ADMM-Based Optimization Model for Stripe Noise Removal in Remote Sensing Image
IEEE Access, 2023 Remote sensing images (RSI) are useful for various tasks such as Earth observation and climate change. However, RSI may suffer from stripe noise due to physical limitations in sensor systems.
Namwon Kim +2 more
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Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers [PDF]
, 2015 Tensor factorization has proven useful in a wide range of applications, from sensor array processing to communications, speech and audio signal processing, and machine learning.
Liavas, Athanasios P. +1 more
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An Alternating Direction Method of Multipliers for Inverse Lithography Problem
Numerical Mathematics: Theory, Methods and Applications, 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 the target pattern, the penalty term which ensures the mask is binary and the total variation ...
Junqing Chen, Haibo Liu
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IEEE Access, 2021 For positioning system based on wireless sensor networks, NLOS errors are one of the main factors to degrade localization performance of an algorithm, about which lots of research results and analysis have been published in previous literatures to ...
Chengwen He, Yunbin Yuan, Bingfeng Tan
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Fast Stochastic Alternating Direction Method of Multipliers
CoRR, 2013 In this paper, we propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation. Besides having a low per-iteration complexity as existing stochastic ADMM algorithms, the proposed algorithm improves the convergence rate on convex problems from
Leon Wenliang Zhong, James T. Kwok
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A fully distributed method for distributed multiagent system in a microgrid
Energy Reports, 2021 We address the distributed energy management problem of the economic dispatch of grids in order to balance the power demand and supply. By manipulating the primal problem, we show that the resulting dual problem can be solved by using a decentralized ...
Diyako Ghaderyan +2 more
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A Proximal Alternating Direction Method of Multipliers with a Substitution Procedure [PDF]
Mathematical Problems in Engineering, 2020 In this paper, we considers the separable convex programming problem with linear constraints. Its objective function is the sum of m individual blocks with nonoverlapping variables and each block consists of two functions: one is smooth convex and the other one is convex.
Miantao Chao +2 more
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Learning-based accelerated sparse signal recovery algorithms
ICT Express, 2021 In this paper, we propose an accelerated sparse recovery algorithm based on inexact alternating direction of multipliers. We formulate a sparse recovery problem with a concave regularizer and solve it with the relaxed and accelerated alternating method ...
Dohyun Kim, Daeyoung Park
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Scalable Stochastic Alternating Direction Method of Multipliers
CoRR, 2015 Stochastic alternating direction method of multipliers (ADMM), which visits only one sample or a mini-batch of samples each time, has recently been proved to achieve better performance than batch ADMM. However, most stochastic methods can only achieve a convergence rate $O(1/\sqrt T)$ on general convex problems,where T is the number of iterations ...
Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
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On Convergence Rates of Proximal Alternating Direction Method of Multipliers
Journal of Scientific Computing, 2023 AbstractIn 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 convex minimization problems in Hilbert spaces and obtain new and improved non-ergodic ...
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