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Parallel alternating direction method of multipliers
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Jiaqi Yan 0001 +3 more
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A Note on the Alternating Direction Method of Multipliers
Journal of Optimization Theory and Applications, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Han, Deren, Yuan, Xiaoming
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Accelerated Alternating Direction Method of Multipliers
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015Recent years have seen a revival of interest in the Alternating Direction Method of Multipliers (ADMM), due to its simplicity, versatility, and scalability. As a first order method for general convex problems, the rate of convergence of ADMM is O(1=k) [4, 25].
Mojtaba Kadkhodaie +3 more
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Fast Consensus by the Alternating Direction Multipliers Method
IEEE Transactions on Signal Processing, 2011The alternating direction multipliers method (ADMM) has been recently proposed as a practical and efficient algorithm for distributed computing. We discuss its applicability to the average consensus problem in this paper. By carefully relaxing ADMM augmentation coefficients we are able to analytically investigate its properties, and to propose simple ...
ERSEGHE, TOMASO +3 more
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A Linearized Alternating Direction Method of Multipliers with Substitution Procedure [PDF]
We consider the linearly constrained separable convex programming problem whose objective function is separable into m individual convex functions with non-overlapping variables. The alternating direction method of multipliers (ADMM) has been well studied in the literature for the special case m = 2, but the direct extension of ADMM for the general ...
Miantao Chao +2 more
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Alternating Direction Method of Multipliers for Linear Programming
Journal of the Operations Research Society of China, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Bing Sheng, Yuan, Xiao Ming
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Decentralized linearized alternating direction method of multipliers
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014This paper develops a decentralized linearized alternating direction method of multipliers (LADMM) that minimizes the sum of local cost functions in a multi-agent network. Through linearizing the local cost functions agents can obtain their local solutions with simple algebraic operations and gradient descent steps. We prove that the algorithm linearly
Qing Ling 0001, Alejandro Ribeiro
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An alternating direction method of multipliers for tensor complementarity problems
Computational and Applied Mathematics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haoran Zhu, Liping Zhang 0008
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A Riemannian Alternating Direction Method of Multipliers
Mathematics of Operations ResearchWe 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 sparse principal component analysis, sparse spectral clustering, and orthogonal dictionary ...
Jiaxiang Li +2 more
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On Glowinski’s Open Question on the Alternating Direction Method of Multipliers
Journal of Optimization Theory and Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Min Tao, Xiaoming Yuan 0001
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