Results 31 to 40 of about 166,464,526 (278)
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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Quantum Alternating Direction Method of Multipliers for Semidefinite Programming [PDF]
QuantumSemidefinite programming (SDP) is a fundamental convex optimization problem with wide-ranging applications. However, solving large-scale instances remains computationally challenging due to the high cost of solving linear systems and performing ...
Hantao Nie, Dong An, Zaiwen Wen
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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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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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Signal Reconstruction of Compressed Sensing Based on Alternating Direction Method of Multipliers [PDF]
, 2020 The sparse signal reconstruction of compressive sensing can be accomplished by \(l_1\)-norm minimization, but in many existing algorithms, there are the problems of low success probability and high computational complexity. To overcome these problems, an
Zhao, Guoying +4 more
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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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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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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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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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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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