Results 141 to 150 of about 3,558,379 (193)

An image processing technique for optimizing industrial defect detection using dehazing algorithms. [PDF]

PLoS One
Zhao X, Dou X, Zhang G.
europepmc   +1 more source

Nörlund and Riesz mean of sequences of fuzzy real numbers [PDF]

Applied Mathematics Letters, 2010
In this article we study some properties of the Nörlund and Riesz mean of sequences of fuzzy real numbers. We establish necessary and sufficient conditions for the Nörlund and Riesz means to transform convergent sequences of fuzzy numbers into convergent
Binod Chandra Tripathy
exaly   +2 more sources

Mean-Field Limits for Some Riesz Interaction Gradient Flows [PDF]

SIAM Journal on Mathematical Analysis, 2016
International audienceThis paper is concerned with the mean-field limit for the gradient flow evolution of particle systems with pairwise Riesz interactions, as the number of particles tends to infinity.
Mitia Duerinckx
exaly   +2 more sources

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Bochner–Riesz Means of Morrey Functions

Journal of Fourier Analysis and Applications, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adams, David R., Xiao, Jie
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Riesz means and bilinear Riesz means on H-type groups

Journal of Geometry and Physics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Min Wang, Yingzhan Wang
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A note on the “hyperbolic” Bochner-Riesz means

Proceedings of the American Mathematical Society, 1984
We consider the L p (
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A note on Riesz means

Mathematical Proceedings of the Cambridge Philosophical Society, 1968
1. For the familiar definition of (R, λn, κ), (R*, λn, κ) and (N, p) means and their notations, see, for example (3). If {fn} is any arbitrary sequence, we adopt the convention throughout that f−1 = 0. A method of absolute summability |A| is said to be ineffective if it is absolutely regular and sums only absolutely convergent sequences.
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Riesz Means on Graphs and Discrete Groups

Potential Analysis, 2011
For \(\alpha>0\) and \(R>0\), the Riesz mean of order \(\alpha\) is the operator defined by \[ m_{\alpha,R}(\Delta) = \int_0^2 m_{\alpha,R}(\lambda) \mathrm{d}E_\lambda \] where \(\Delta\) is the discrete Laplacian, \(\mathrm{d}E_\lambda\) is its spectral measure (so that \(\Delta = \int_0^2 \lambda \mathrm{d}E_\lambda\)) and \[ m_{\alpha,R}(\lambda) =
Fotiadis, Anestis, Georgiadis, Athanasios G.   +1 more
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