Results 51 to 60 of about 27,500 (171)
Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration
Journal of Imaging, 2021 The effectiveness of variational methods for restoring images corrupted by Poisson noise strongly depends on the suitable selection of the regularization parameter balancing the effect of the regulation term(s) and the generalized Kullback–Liebler ...
Francesca Bevilacqua +3 more
doaj +1 more source
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
doaj +1 more source
Towards Distributed OPF using ALADIN
, 2018 The present paper discusses the application of the recently proposed Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) method to non-convex AC Optimal Power Flow Problems (OPF) in a distributed fashion.
Engelmann, Alexander +4 more
core +1 more source
On Convergence Rates of Proximal Alternating Direction Method of Multipliers
Journal of Scientific Computing, 2023 AbstractIn this paper we consider from two different aspects the proximal alternating direction method of multipliers (ADMM) in Hilbert spaces. We first consider the application of the proximal ADMM to solve well-posed linearly constrained two-block separable convex minimization problems in Hilbert spaces and obtain new and improved non-ergodic ...
openaire +3 more sources
International Journal of Computational Intelligence Systems, 2023 Deep learning has shown excellent performance in numerous machine-learning tasks, but one practical obstacle in deep learning is that the amount of computation and required memory is huge.
Kichun Lee +3 more
doaj +1 more source
ADMM-Net for Beamforming Based on Linear Rectification with the Atomic Norm Minimization
Remote Sensing, 2023 Target misalignment can cause beam pointing deviations and degradation of sidelobe performance. In order to eliminate the effect of target misalignment, we formulate the jamming sub-space recovery problem as a linearly modified atomic norm-based ...
Zhenghui Gong +4 more
doaj +1 more source
Compressed Sensing for Block-Sparse Smooth Signals
, 2013 We present reconstruction algorithms for smooth signals with block sparsity from their compressed measurements. We tackle the issue of varying group size via group-sparse least absolute shrinkage selection operator (LASSO) as well as via latent group ...
Gishkori, Shahzad, Leus, Geert
core +1 more source
Scalable Stochastic Alternating Direction Method of Multipliers
, 2015 Stochastic alternating direction method of multipliers (ADMM), which visits only one sample or a mini-batch of samples each time, has recently been proved to achieve better performance than batch ADMM. However, most stochastic methods can only achieve a convergence rate $O(1/\sqrt T)$ on general convex problems,where T is the number of iterations ...
Zhao, Shen-Yi, Li, Wu-Jun, Zhou, Zhi-Hua
openaire +2 more sources
Fast-converging decentralized alternating direction method of multipliers for consensus optimization
EURASIP Journal on Advances in Signal ProcessingFor its well-established convergence properties, simplicity, and applicability to various optimization problems, the alternating direction method of multipliers (ADMM) has been at the center of several research fields.
Jeannie He, Ming Xiao, Mikael Skoglund
doaj +1 more source
ADMM-Based Distributed Auction Mechanism for Energy Hub Scheduling in Smart Buildings
IEEE Access, 2018 Energy hub integrates various energy conversion and storage technologies, which can yield complementarity among multiple energy and provide consumers with stable energy services, such as electricity, heating, and cooling. This enables energy hub to be an
Weifeng Zhong +4 more
doaj +1 more source