Results 221 to 230 of about 27,846 (265)
Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]
Sci RepMundada T, Ramdhave S, Jain S, Gupta S.
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An Accelerated Linearized Alternating Direction Method of Multipliers [PDF]
SIAM Journal on Imaging Sciences, 2015 We present a novel framework, namely AADMM, for acceleration of linearized alternating direction method of multipliers (ADMM). The basic idea of AADMM is to incorporate a multi-step acceleration scheme into linearized ADMM. We demonstrate that for solving a class of convex composite optimization with linear constraints, the rate of convergence of AADMM
Yuyuan Ouyang +2 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.
Deren Han, Xiaoming Yuan
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Parallel alternating direction method of multipliers
Information Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiaqi Yan +3 more
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Bi-alternating direction method of multipliers
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013The alternating-direction method of multipliers (ADMM) has been widely applied in the field of distributed optimization and statistic learning. ADMM iteratively approaches the saddle point of an augmented Lagrangian function by performing three updates per-iteration.
Guoqiang Zhang 0003, Richard Heusdens
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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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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.
Yuling Jiao, Qinian Jin, Xiliang Lu
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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]
Asia-Pacific Journal of Operational Research, 2015 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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