Results 11 to 20 of about 128,252 (247)
Rough statistical convergence in intuitionistic fuzzy normed spaces
Filomat, 2021 In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization in the field of statistical convergence. We have proved some properties related to rough convergence which provides some new functional tools in the situation of uncertainty like intuitionistic fuzzy normed ...
Reena Antal +2 more
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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 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
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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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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Optimization algorithms for the solution of the frictionless normal contact between rough surfaces [PDF]
, 2015 This paper revisits the fundamental equations for the solution of the frictionless unilateral normal contact problem between a rough rigid surface and a linear elastic half-plane using the boundary element method (BEM).
Bemporad, A., Paggi, M.
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Ultrasound wave propagation through rough interfaces: Iterative methods [PDF]
, 1996 Two iterative methods for the calculation of acoustic transmission through a rough interface\ud between two media are compared. The methods employ a continuous version of the conjugate\ud gradient technique.
Berg, P.M. van den +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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