Results 21 to 30 of about 27,483 (269)
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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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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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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Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers [PDF]
, 2015 Tensor factorization has proven useful in a wide range of applications, from sensor array processing to communications, speech and audio signal processing, and machine learning.
Liavas, Athanasios P. +1 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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ADOM: ADMM-Based Optimization Model for Stripe Noise Removal in Remote Sensing Image
IEEE Access, 2023 Remote sensing images (RSI) are useful for various tasks such as Earth observation and climate change. However, RSI may suffer from stripe noise due to physical limitations in sensor systems.
Namwon Kim +2 more
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Alternating direction method of multipliers for penalized zero-variance discriminant analysis [PDF]
, 2015 We consider the task of classification in the high dimensional setting where the number of features of the given data is significantly greater than the number of observations.
Ames, Brendan +2 more
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Dual Alternating Direction Method of Multipliers for Inverse Imaging
IEEE Transactions on Image Processing, 2022 Inverse imaging covers a wide range of imaging applications, including super-resolution, deblurring, and compressive sensing. We propose a novel scheme to solve such problems by combining duality and the alternating direction method of multipliers (ADMM). In addition to a conventional ADMM process, we introduce a second one that solves the dual problem
Li Song, Zhou Ge, Edmund Y. Lam
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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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