Results 31 to 40 of about 311,740 (279)
European Journal of Pure and Applied MathematicsThis paper investigates the conditions for equivalence between statistical convergence, ideal convergence, and standard convergence in G-metric spaces. Although the study of statistical and ideal convergence has been extensively developed in various settings, no prior research has explicitly explored the relationship between statistical convergence and
Manuharawati Manuharawati +2 more
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A generalized statistical convergence via ideals defined by folner sequences on amenable groups
, 2018 [Abstract Not Available]
Ömer Kı̇şı̇, Erhan Güler
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Lacunary ℐ-Invariant Convergence of Sequence of Sets in Intuitionistic Fuzzy Metric Spaces
Journal of Mathematics, 2021 The concepts of invariant convergence, invariant statistical convergence, lacunary invariant convergence, and lacunary invariant statistical convergence for set sequences were introduced by Pancaroğlu and Nuray (2013).
Mualla Birgül Huban
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Generalized s r I -statistical convergence in intuitionistic fuzzy normed linear space [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2018 The notion of lacunary ideal convergence in intuitionistic fuzzy normed linear space (IFNLS) was introduced in (Debnath, 2012). As a continuation of this work, in the present paper, we introduce and study the new concept of s r I -statistical ...
Nabanita Konwar, Pradip Debnath
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A study on strong AI-statistical convergence of sequences in probabilistic metric spaces
Annals of the University of Craiova. Mathematics and computer science series, 2023 In this paper using a non-negative regular summability matrix A and a non-trivial admissible ideal I in N we study some basic properties of strong AI-statistical convergence and strong AI-statistical Cauchyness of sequences in probabilistic metric spaces
P. Malik, Samiran Das
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ROUGH IDEAL CONVERGENCE OF DOUBLE SEQUENCES IN INTUITIONISTIC FUZZY NORMED SPACES [PDF]
Facta Universitatis Series Mathematics and Informatics, 2023 The idea of rough statistical convergence for double sequences was studied by Ozcan and Or [34] in a intuitionistic fuzzy normed space. Recently the same has been generalized in the ideal context by Hossain and Banerjee [17] for sequences.
Rahul Mondal, Nesar Hossain
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Dynamic Load Balancing Strategy Based on Process Optimization in SDN [PDF]
Jisuanji gongcheng, 2023 To address the issue of control plane load imbalance in Software Defined Network(SDN), where static deployment strategies for multiple controllers cannot adapt to dynamic changes in network traffic, a dynamic load balancing strategy based on process ...
Xiangju LIU, Ben ZHAO, Xianjin FANG, Yangyang XU
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Entropy, 2023 Due to the development of social media, the mechanisms underlying consensus and chaos in opinion dynamics have become open questions and have been extensively researched in disciplines such as sociology, statistical physics, and nonlinear mathematics. In
Fangyikuang Ding, Yang Li, Kejian Ding
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Identification and Analysis of Influential Factors in Good Rural Governance (Case Study: Ardabil County) [PDF]
برنامه ریزی فضایی, 2022 Problem definition: Rural governance is a new process in the rural management system, which has different principles, criteria, and indicators, as well as many players in the rural field.Purpose: The present study was conducted with the aim of ...
Kiumarth Khodapanah
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On ideal convergence of double sequences in probabilistic normed spaces [PDF]
, 2011 The notion of ideal convergence is a generalization of statistical convergence wich has been intensively investigated in last few years. For an admisible ideal f in NxN, the aim of the present paper is to introduce the concepts of f-convergence and f ...
Kumar, Vijay +1 more
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