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Rough Statistical Convergence for Difference Sequences
Kragujevac Journal of Mathematics, 2022 Summary: As known, difference sequences have their own characteristics. In this paper, we study the concept of rough statistical convergence for difference sequences in a finite dimensional normed space. At the same time, we examine some properties of the set st-\(\lim_{\Delta x_i}^r=\left\{x_{\ast}\in X:\Delta x_i\overset{r}{\rightarrow}x_{\ast}\right\
Demir, Nihal, Gumus, Hafize
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Dera Natung Government College Research Journal, 2023 We define the concept of rough limit set of a triple sequence space of beta Stancu operators of Borel summability of gradual real numbers and obtain the relation between the set of rough limit and the extreme limit points of a triple sequence space of ...
Arulmani İndumathi +2 more
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Rough I_((λ,μ) )-Statistical Convergence of Double Sequences in Gradual Normed Linear Spaces
Süleyman Demirel Üniversitesi Fen-Edebiyat Fakültesi Fen Dergisi, 2022 The aim of this paper is to we examine the notion of gradually rough I_((λ,μ) )-statistical convergence of double sequences in gradual normed linear spaces (GNLS).
Chiranjib Choudhury, Ömer Kişi
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A simple proof of distance bounds for Gaussian rough paths [PDF]
, 2013 We derive explicit distance bounds for Stratonovich iterated integrals along two Gaussian processes (also known as signatures of Gaussian rough paths) based on the regularity assumption of their covariance functions.
Riedel, Sebastian, Xu, Weijun
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On Rough Statistical Convergence in Neutrosophic Normed Spaces [PDF]
Neutrosophic Sets and SystemsIn this paper, we have presented rough statistical convergence of sequence on neutrosophic normed spaces as an important convergence criterion. As neutrosophication can handle partially dependent components, partially independent components and even ...
Reena Antal +2 more
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Convergence Rates for Upwind Schemes with Rough Coefficients [PDF]
SIAM Journal on Numerical Analysis, 2017 This paper is concerned with the numerical analysis of the explicit upwind finite volume scheme for numerically solving continuity equations. We are interested in the case where the advecting velocity field has spatial Sobolev regularity and initial data are merely integrable.
André Schlichting, Christian Seis
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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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A Note on Rough Abel Convergence
Mathematical Sciences and Applications E-Notes, 2023 In this paper, we define a new type of Abel convergence by using the rough convergence of a sequence. We also obtained some results for this convergence.
Öznur ÖLMEZ, Ulas YAMANCİ
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Short Communication: On the Weak Convergence Rate in the Discretization of Rough Volatility Models
, 2022 We study the weak convergence rate in the discretization of rough volatility models. After showing a lower bound 2H under a general model, where H is the Hurst index of the volatility process, we give a sharper bound H+1/2 under a linear ...
Bayer, Christian +5 more
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Stable Rough Extreme Learning Machines for the Identification of Uncertain Continuous-Time Nonlinear Systems [PDF]
Control and Optimization in Applied Mathematics, 2019 Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated.
Ghasem Ahmadi
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