Results 11 to 20 of about 167,968,449 (203)
Results in Control and Optimization, 2021 The classic Alternating Direction Method of Multipliers (ADMM) is a popular framework to solve linear-equality constrained problems. In this paper, we extend the ADMM naturally to nonlinear equality-constrained problems, called neADMM.
Junxiang Wang, Liang Zhao
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Journal of Inequalities and Applications, 2017 This paper introduces a symmetric version of the generalized alternating direction method of multipliers for two-block separable convex programming with linear equality constraints, which inherits the superiorities of the classical alternating direction ...
Jing Liu, Yongrui Duan, Min Sun
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Convergence analysis on a modified generalized alternating direction method of multipliers
Journal of Inequalities and Applications, 2018 The alternating direction method of multipliers (ADMM) is one of the most powerful and successful methods for solving convex composite minimization problem.
Sha Lu, Zengxin Wei
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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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Convergence Analysis of Alternating Direction Method of Multipliers for a Class of Separable Convex Programming [PDF]
Abstract and Applied Analysis, 2013 The purpose of this paper is extending the convergence analysis of Han and Yuan (2012) for alternating direction method of multipliers (ADMM) from the strongly convex to a more general case.
Zehui Jia, Ke Guo, Xingju Cai
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On the Convergence Analysis of the Alternating Direction Method of Multipliers with Three Blocks [PDF]
Abstract and Applied Analysis, 2013 We consider a class of linearly constrained separable convex programming problems whose objective functions are the sum of three convex functions without coupled variables. For those problems, Han and Yuan (2012) have shown that the sequence generated by
Caihua Chen, Yuan Shen, Yanfei You
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Fourier Ptychographic Microscopy via Alternating Direction Method of Multipliers [PDF]
Cells, 2022 Fourier ptychographic microscopy (FPM) has risen as a promising computational imaging technique that breaks the trade-off between high resolution and large field of view (FOV). Its reconstruction is normally formulated as a blind phase retrieval problem,
Aiye Wang +5 more
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Distributed Alternating Direction Method of Multipliers using Finite-Time Exact Ratio Consensus in Digraphs [PDF]
, 2021 Funding Information: This work was supported by the Academy of Finland under Grant 320043. The work of T. Charalambous was supported by the Academy of Finland under Grant 317726.
Wei Jiang +3 more
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Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019 To facilitate efficient embedded and hardware implementations of deep neural networks (DNNs), two important categories of DNN model compression techniques: weight pruning and weight quantization are investigated. The former leverages the redundancy in the number of weights, whereas the latter leverages the redundancy in bit representation of weights ...
Ao Ren +7 more
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