Results 31 to 40 of about 7,303 (247)
Triple rough statistical convergence of sequence of Bernstein operators [PDF]
International Journal of ADVANCED AND APPLIED SCIENCES, 2017 Ayten Esi, N. Subramanian, Ayhan Eşi
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Mathematics, 2021 The rough Heston model is a form of a stochastic Volterra equation, which was proposed to model stock price volatility. It captures some important qualities that can be observed in the financial market—highly endogenous, statistical arbitrages prevention,
Siow Woon Jeng, Adem Kiliçman
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On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]
Neutrosophic Sets and SystemsThis article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence.
Manpreet Kaur, Meenakshi Chawla
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Weighted statistical rough convergence in normed spaces
Statistical convergence is a significant generalisation of the traditional convergence of real or complex valued sequences. Over the years, it has been studied by many authors and found many applications in various problems. In this paper we introduce a new concept about statistical rough convergence for sequences in normed spaces by using weighted ...
Erdal Bayram +2 more
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ROUGH ∆I-STATISTICAL CONVERGENCE
, 2022 In this study, we examine rough.I-statistical convergence for difference sequences as an extension of rough convergence. We investigate the set of rough Delta I-statistical limit points of a difference sequence and analyze the results with proofs.
Kişi, Ömer, Dundar, Erdinc
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On deferred I-statistical rough convergence of difference sequences in neutrosophic normed spaces [PDF]
Neutrosophic Sets and SystemsIn this study, using the concepts of deferred density and the notion of the ideal I, we extend the idea of rough convergence by introducing the notion of deferred I–statistical rough convergence via difference operators in the framework of neutrosophic ...
Mukhtar Ahmad +2 more
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Rough statistical convergence in neutrosophic normed spaces
Annals of Communications in Mathematics, 2023 Neutrosophic normed spaces, one of the recent hot issues in mathematics, are covered in this paper. The Neutrosophic approach is based on the idea that the degree of uncertainty should be taken into consideration and that it is insufficient to categorise problems in daily life as either right or wrong.
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IEEE Access, 2019 It is very interesting and important to determine the function model for remote-sensing data. The existing statistical and artificial intelligence models still have some defects.
Changan Yuan +4 more
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A Hybrid Probabilistic-Neutrosophic Adaptive Convergence Model for Analyzing Innovative Performance of Agricultural Technology Enterprises in the Digital Economy [PDF]
Neutrosophic Sets and SystemsThis paper introduces a novel mathematical framework that integrates hybrid probabilistic-neutrosophic logic with adaptive rough ideal statistical convergence (AR-I st) to model and analyze the dynamic performance of innovative agricultural technology ...
Hongyan Xie
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Advanced Engineering Materials, EarlyView.This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
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