Results 21 to 30 of about 7,185 (222)
Distributed system identification with ADMM [PDF]
53rd IEEE Conference on Decision and Control, 2014 This paper presents identification of both network connected systems as well as distributed systems governed by PDEs in the framework of distributed optimization via the Alternating Direction Method of Multipliers. This approach opens first the possibility to identify distributed models in a global manner using all available data sequences and second ...
Hansson, A., Verhaegen, M.
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ADMM for multiaffine constrained optimization [PDF]
Optimization Methods and Software, 2019 We expand the scope of the alternating direction method of multipliers (ADMM). Specifically, we show that ADMM, when employed to solve problems with multiaffine constraints that satisfy certain verifiable assumptions, converges to the set of constrained stationary points if the penalty parameter in the augmented Lagrangian is sufficiently large.
Wenbo Gao +2 more
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ADMM for maximum correntropy criterion [PDF]
2016 International Joint Conference on Neural Networks (IJCNN), 2016 The correntropy provides a robust criterion for outlier-insensitive machine learning, and its maximisation has been increasingly investigated in signal and image processing. In this paper, we investigate the problem of unmixing hyperspectral images, namely decomposing each pixel/spectrum of a given image as a linear combination of other pixels/spectra ...
Zhu, Fei +4 more
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Proceedings of the 13th International Conference on Web Search and Data Mining, 2020 The Sparse Linear Method (SLIM) is a well-established approach for top-N recommendations. This article proposes several improvements that are enabled by the Alternating Directions Method of Multipliers (ADMM), a well-known optimization method with many application areas.
Harald Steck +3 more
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gobelc/opf-admm: First release of opf-admm
, 2020 Distributed Optimal Power Flow with ADMM via Message Passing Interface (MPI) implemented in C++
Gonzalo Belcredi
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A Second–Order TV–Based Coupling Model and an ADMM Algorithm for MR Image Reconstruction
International Journal of Applied Mathematics and Computer Science, 2020 Motivated by ideas from two-step models and combining second-order TV regularization in the LLT model, we propose a coupling model for MR image reconstruction.
Zhou Bo, Yang Yu-Fei, Hu Bo-Xia
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A general framework for ADMM acceleration [PDF]
Numerical Algorithms, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Buccini A., Dell'Acqua P., Donatelli M.
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TFR Recovery From Incomplete Micro-Doppler Signal via AL-ADMM-Net
IEEE Access, 2022 The micro-motion target echoes can be regarded as the accumulation of a few strong scattering points echoes, which are naturally sparse. Therefore, the compressed sensing (CS) reconstruction method can be used to analyze the incomplete micro-Doppler ...
Yanxin Yuan +3 more
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ADMM and Accelerated ADMM as Continuous Dynamical Systems
, 2018 Recently, there has been an increasing interest in using tools from dynamical systems to analyze the behavior of simple optimization algorithms such as gradient descent and accelerated variants. This paper strengthens such connections by deriving the differential equations that model the continuous limit of the sequence of iterates generated by the ...
Guilherme França +2 more
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