Results 31 to 40 of about 1,288,587 (289)
$f-$statistical convergence, completeness and $f-$cluster points [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2016 An increasing continuous function \(f:\mathbb{R}^+\to\mathbb{R}^+\) is called a modulus function if \(f(0)=0\), \(f(t) > 0\) for \(t > 0\), and \(f(t+s)\leq f(t)+f(s)\) for every \(t,s \in \mathbb{R}^+\). Let \(f\) be an unbounded modulus function. A sequence \((x_n)\) in a normed space \(X\) is said to be \(f\)-statistically convergent to \(x \in X ...
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On I-statistically limit points and I-statistically cluster points of sequences of fuzzy numbers
MATHEMATICA, 2021 The main aim of this paper is to introduce I-st limit points and I-st cluster points of a sequence of fuzzy numbers and also study some of its basic properties. Conditions for a I-st limit point of a I-st cluster point are investigated.
Binod Chandra Tripathy +2 more
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Deferred Statistical Cluster Points of Real Valued Sequences [PDF]
Universal Journal of Applied Mathematics, 2013 In this paper, the concept of deferred statistical cluster points of real valued sequences is dened and studied by using deferred density of the subset of natural numbers. For p(n) and q(n) satisfying certain conditions, we give some results for the set of deferred statistical cluster points Dp;q (x). We provide some counter examples regarding Dp;q (x).
Mujde Yilmazturk +2 more
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Some results on uniform statistical cluster points
TURKISH JOURNAL OF MATHEMATICS, 2017 research In this paper, we present some results linking the uniform statistical limit superior and inferior, almost convergence and uniform statistical convergence of a sequence. We also study the relationship between the set of uniform statistical cluster points of a given sequence and its subsequences.
Tuğba Yurdakadim +1 more
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Structures in magnetohydrodynamic turbulence: detection and scaling [PDF]
, 2010 We present a systematic analysis of statistical properties of turbulent current and vorticity structures at a given time using cluster analysis. The data stems from numerical simulations of decaying three-dimensional (3D) magnetohydrodynamic turbulence ...
A. Pouquet +17 more
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Novi Sad Journal of Mathematics, 2020 Summary: In this paper, we introduce the notions of \(\mathcal{I} \)-statistical limit points and \(\mathcal{I} \)-statistical cluster points for a sequence in probabilistic normed spaces and study some basic properties of the sets of all \(\mathcal{I} \)-statistical limit points and \(\mathcal{I} \)-statistical cluster points of a sequence in ...
Das, Samiran, Ghosh, Argha
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Energy and AI, 2023 Clustering approaches are one of the probabilistic load flow (PLF) methods in distribution networks that can be used to obtain output random variables, with much less computation burden and time than the Monte Carlo simulation (MCS) method.
Morsal Salehi, Mohammad Mahdi Rezaei
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STATISTICAL CONVERGENCE IN TOPOLOGICAL SPACE CONTROLLED BY MODULUS FUNCTION
Ural Mathematical JournalThe notion of \(f\)-statistical convergence in topological space, which is actually a statistical convergence's generalization under the influence of unbounded modulus function is presented and explored in this paper.
Parthiba Das +2 more
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Detection Feasibility of Cluster-Induced CMB Polarization
, 2017 Galaxy clusters can potentially induce sub-$\mu$K polarization signals in the CMB with characteristic scales of a few arcminutes in nearby clusters. We explore four such polarization signals induced in a rich nearby cluster and calculate the likelihood ...
Mirmelstein, Mark +2 more
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Peculiar Velocities and the Mean Density Parameter [PDF]
, 1999 We study the peculiar velocity field inferred from the Mark III spirals using a new method of analysis. We estimate optimal values of Tully-Fisher scatter and zero-point offset, and we derive the 3-dimensional rms peculiar velocity ($\sigma_v$) of the ...
Lambas, Diego G., Padilla, Nelson
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