Results 31 to 40 of about 27,483 (269)
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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Bregman Alternating Direction Method of Multipliers
, 2013 The mirror descent algorithm (MDA) generalizes gradient descent by using a Bregman divergence to replace squared Euclidean distance. In this paper, we similarly generalize the alternating direction method of multipliers (ADMM) to Bregman ADMM (BADMM), which allows the choice of different Bregman divergences to exploit the structure of problems.
Wang, Huahua, Banerjee, Arindam
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Alternating Direction Method of Multipliers for Linear Inverse Problems [PDF]
SIAM Journal on Numerical Analysis, 2016 In this paper we propose an iterative method using alternating direction method of multipliers (ADMM) strategy to solve linear inverse problems in Hilbert spaces with general convex penalty term. When the data is given exactly, we give a convergence analysis of our ADMM algorithm without assuming the existence of Lagrange multiplier.
Jiao, Yuling +3 more
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Alternating direction method of multipliers for polynomial optimization
2023 European Control Conference (ECC), 2023 Multivariate polynomial optimization is a prevalent model for a number of engineering problems. From a mathematical viewpoint, polynomial optimization is challenging because it is non-convex. The Lasserre's theory, based on semidefinite relaxations, provides an effective tool to overcome this issue and to achieve the global optimum.
V Cerone, S Fosson, S Pirrera, D Regruto
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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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MathematicsThe alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions.
Jingjing Peng +3 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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Self Equivalence of the Alternating Direction Method of Multipliers
, 2015 The alternating direction method of multipliers (ADM or ADMM) breaks a complex optimization problem into much simpler subproblems. The ADM algorithms are typically short and easy to implement yet exhibit (nearly) state-of-the-art performance for large ...
Yan, Ming, Yin, Wotao
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Self-Adaptive Alternating Direction Method of Multipliers for Image Denoising
Applied SciencesIn this study, we introduce a novel self-adaptive alternating direction method of multipliers tailored for image denoising. Our approach begins by formulating a collaborative regularization model that upholds structured sparsity within images while ...
Mingjie Xie, Haibing Guo
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Alternating Direction Method of Multipliers for Quantization
, 2020 Quantization of the parameters of machine learning models, such as deep neural networks, requires solving constrained optimization problems, where the constraint set is formed by the Cartesian product of many simple discrete sets. For such optimization problems, we study the performance of the Alternating Direction Method of Multipliers for ...
Huang, Tianjian +4 more
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