Ideally Statistical Convergence in n-normed Space
Journal of Advances in Mathematics and Computer Science, 2020 The aim of the article is to extend the concept of Ideally statistical convergence from 2 normed spaces to n-normed space. We have also study and prove some important algebraic and topological properties of Ideally-statistical convergence of real sequences in n-normed space.
Amani Shatarah, Nazneen Khan
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Investigating the effect of social media marketing on brand loyalty with the mediating role of trust and brand equity(Case study: Bank Mellat Isfahan branches) [PDF]
ارزش آفرینی در مدیریت کسب و کار, 2022 The purpose of the present research is to investigate the impact of social media marketing on brand loyalty with the mediating role of trust and equity of the brand in Isfahan Bank Mellat branches.
Zahra Yazdani Kachuei +2 more
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Effects of Multirate Systems on the Statistical Properties of Random Signals [PDF]
, 1993 In multirate digital signal processing, we often encounter time-varying linear systems such as decimators, interpolators, and modulators. In many applications, these building blocks are interconnected with linear filters to form more complicated systems.
Sathe, Vinay P., Vaidyanathan, P. P.
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Ideal-quasi-Cauchy sequences [PDF]
, 2012 An ideal $I$ is a family of subsets of positive integers $\textbf{N}$ which is closed under taking finite unions and subsets of its elements.
Cakalli, Huseyin, Hazarika, Bipan
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Ideal convergence generated by double summability methods
Demonstratio Mathematica, 2016 The main result of this note is that if I is an ideal generated by a regular double summability matrix summability method T that is the product of two nonnegative regular matrix methods for single sequences, then I-statistical convergence and convergence
Connor Jeff
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Improving Bundle Routing in a Space DTN by Approximating the Transmission Time of the Reliable LTP
Network, 2023 Because the operation of space networks is carefully planned, it is possible to predict future contact opportunities from link budget analysis using the anticipated positions of the nodes over time.
Ricardo Lent
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On ideal convergence of double sequences in neutrosophic normed spaces
Gulf Journal of Mathematics, 2023 In this paper, we introduce the notion of I2 and I∗2−convergence of double sequences in neutrosophic normed spaces mainly as a generalization of statistical convergence of double sequences.
C. Choudhury, C. Granados
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Experimental Evaluation and Analysis of Federated Learning in Edge Computing Environments
IEEE Access, 2023 Federated learning (FL) is a machine learning system that allows a network of devices to train a model without centralized data. This characteristic makes FL an ideal choice for machine learning using user data while maintaining privacy.
Pham Khanh Quan +2 more
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I−LACUNARY STATISTICAL CONVERGENCE OF ORDER β OF DIFFERENCE SEQUENCES OF FRACTIONAL ORDER
Facta Universitatis Series Mathematics and Informatics, 2021 In this paper, we introduce the concepts of ideal ∆α−lacunary statis- tical convergence of order β with the fractional order of α and ideal ∆α−lacunary strongly convergence of order β with the fractional order of α ( where 0 < β ≤ 1and α be a fractional ...
N. Aral, H. Kandemir
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Sub-Alfvenic Non-Ideal MHD Turbulence Simulations with Ambipolar Diffusion: I. Turbulence Statistics [PDF]
, 2008 Most numerical investigations on the role of magnetic fields in turbulent molecular clouds (MCs) are based on ideal magneto-hydrodynamics (MHD). However, MCs are weakly ionized, so that the time scale required for the magnetic field to diffuse through ...
Christopher F. McKee +8 more
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