Results 11 to 20 of about 3,575,082 (253)
Rough statistical convergence on triple sequences [PDF]
Proyecciones (Antofagasta), 2017 In this paper, using the concept of natural density, we introduce the notion of rough statistical convergence of triple sequences. We define the set of rough statistical limit points of a triple sequence and obtain rough statistical convergence criteria associated with this set.
Debnath, Shyamal, Subramanian, N.
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On I-statistically rough convergence [PDF]
Publications de l'Institut Mathematique, 2019 We introduce rough I-statistical convergence as an extension of rough convergence. We define the set of rough I-statistical limit points of a sequence and analyze the results with proofs.
Savaş, Ekrem +2 more
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ROUGH STATISTICAL CONVERGENCE OF SEQUENCES IN A PARTIAL METRIC SPACE [PDF]
Facta Universitatis, Series: Mathematics and InformaticsIn this paper, using the concept of natural density, we have introduced the notion of rough statistical convergence which is an extension of the notion of rough convergence in a partial metric space. We have defined the set of rough statistical limit points of a sequence in a partial metric space and proved that this set is closed and bounded. Finally,
Sukila Khatun, Amar Kumar Banerjee
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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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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.
M. Jeyaraman and P. Jenifer
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Statistical and rough statistical convergence in an $S$-metric space [PDF]
Journal of Classical AnalysisIn this paper, using the concept of natural density, we have introduced the ideas of statistical and rough statistical convergence in an $S$-metric space. We have investigated some of their basic properties. We have defined statistical Cauchyness and statistical boundedness of sequences and then some results related these ideas have been studied.
Khatun, Sukila, Banerjee, Amar Kumar
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Some Remarks on Rough Statistical Λ-Convergence of Order α [PDF]
, 2021 The main purpose of this work is to define Rough Statistical Λ-Convergence of order α ...
Chawla, M., Antal, R., Kumar, V.
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Hybrid Metaheuristics Using Rough Sets for QoS-Aware Service Composition
IEEE Access, 2022 Quality of Service (QoS)-aware service composition plays an increasingly important role in various computational paradigms and delivery models, predominantly cloud computing.
Hadi Naghavipour +4 more
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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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ROUGH STATISTICAL CONVERGENCE OF DIFFERENCE DOUBLE SEQUENCES IN NORMED LINEAR SPACES [PDF]
, 2021 In this paper, we introduce rough statistical convergence of difference double sequences in normed linear spaces as an extension of rough convergence.
Unal, Hatice Kubra, Kişi, Ömer
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