Results 11 to 20 of about 166,464,526 (278)
Distributed Alternating Direction Method of Multipliers [PDF]
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012 We consider a network of agents that are cooperatively solving a global unconstrained optimization problem, where the objective function is the sum of privately known local objective functions of the agents. Recent literature on distributed optimization methods for solving this problem focused on subgradient based methods, which typically converge at ...
Wei, Ermin, Ozdaglar, Asuman E.
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Bi-alternating direction method of multipliers
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 The 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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Parallel alternating direction method of multipliers
Information Sciences, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiaqi Yan 0001 +3 more
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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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An Alternating Direction Method of Multipliers for Inverse Lithography Problem [PDF]
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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The Alternating Direction Method of Multipliers for Sufficient Dimension Reduction
Journal of MathematicsThe minimum average variance estimation (MAVE) method has proven to be an effective approach to sufficient dimension reduction. In this study, we apply the computationally efficient optimization algorithm named alternating direction method of multipliers
Sheng Ma, Qin Jiang, Zaiqiang Ku
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An Improved Alternating Direction Method of Multipliers for Matrix Completion
Foundations of Computing and Decision SciencesMatrix completion is widely used in information science fields such as machine learning and image processing. The alternating direction method of multipliers (ADMM), due to its ability to utilize the separable structure of the objective function, has ...
Yan Xihong, Zhang Ning, Li Hao
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Alternating Direction Method of Multipliers for Linear Programming
Journal of the Operations Research Society of China, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Bing Sheng, Yuan, Xiao Ming
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IET Microwaves, Antennas & PropagationTo get simultaneously sparse and constant modulus excitation to reduce the complexity of the array and the mutual effect of neighbouring elements, a novel algorithm via alternating optimisation‐alternating direction of the multipliers method is developed.
Lifeng Li +4 more
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Stochastic alternating direction method of multipliers
, 2015 The alternating direction method of multipliers (ADMM) is an efficient optimization solver for a wide variety of machine learning models. Recently, stochastic ADMM has been integrated with variance reduction methods for stochastic gradient, leading to the SAG-ADMM and SDCA-ADMM algorithms that have fast convergence rates and low iteration complexities.
Zheng, Shuai
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