Results 21 to 30 of about 27,846 (265)
Distributed Model Predictive Consensus via the Alternating Direction Method of Multipliers [PDF]
, 2012 We propose a distributed optimization method for solving a distributed model predictive consensus problem. The goal is to design a distributed controller for a network of dynamical systems to optimize a coupled objective function while respecting state ...
Lygeros, John, Summers, Tyler H.
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Многоблочный метод ADMM с ускорением Нестерова
Міжнародний науково-технічний журнал "Проблеми керування та інформатики", 2021 Метод ADMM (alternating direction methods of multipliers) широко используется для решения многих оптимизационных задач с помощью параллельных вычислений.
Владислав Анатолійович Григоренко +2 more
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Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers [PDF]
, 2018 Ptychography has risen as a reference X-ray imaging technique: it achieves resolutions of one billionth of a meter, macroscopic field of view, or the capability to retrieve chemical or magnetic contrast, among other features.
Chang, Huibin +2 more
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Bregman Alternating Direction Method of Multipliers
CoRR, 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.
Huahua Wang, Arindam Banerjee 0001
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Alternating Direction Method of Multipliers for Generalized Low-Rank Tensor Recovery
Algorithms, 2016 Low-Rank Tensor Recovery (LRTR), the higher order generalization of Low-Rank Matrix Recovery (LRMR), is especially suitable for analyzing multi-linear data with gross corruptions, outliers and missing values, and it attracts broad attention in the fields
Jiarong Shi +3 more
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A Fast Alternating Direction Method of Multipliers Algorithm for Big Data Applications
IEEE Access, 2020 In recent years, with the explosive growth of the data, a wide range of data in Cyber-Physical-Social Systems (CPSS) are generated and collected as big data.
Huihui Wang, Xingguo Chen
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DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers [PDF]
IEEE Transactions on Signal Processing, 2015 This paper considers an optimization problem that components of the objective function are available at different nodes of a network and nodes are allowed to only exchange information with their neighbors. The decentralized alternating method of multipliers (DADMM) is a well-established iterative method for solving this category of problems; however ...
Aryan Mokhtari +3 more
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A Fast Symmetric Alternating Direction Method of Multipliers
Numerical Mathematics: Theory, Methods and Applications, 2020 Summary: In recent years, alternating direction method of multipliers (ADMM) and its variants are popular for the extensive use in image processing and statistical learning. A variant of ADMM: symmetric ADMM, which updates the Lagrange multiplier twice in one iteration, is always faster whenever it converges.
Luo, Gang, Yang, Qingzhi
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Shock and Vibration, 2020 Compressive beamforming with planar microphone arrays is capable of estimating the two-dimensional direction-of-arrivals (DOAs) and quantifying the strengths of acoustic sources effectively.
Yang Yang, Zhigang Chu
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Analysis of the Alternating Direction Method of Multipliers for Nonconvex Problems [PDF]
Operations Research Forum, 2021 This work investigates the theoretical performance of the alternating-direction method of multipliers (ADMM) as it applies to nonconvex optimization problems, and in particular, problems with nonconvex constraint sets. The alternating direction method of multipliers is an optimization method that has largely been analyzed for convex problems.
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