Results 21 to 30 of about 15,175 (259)

SOME REMARKS ON ROUGH STATISTICAL \(\Lambda\)-CONVERGENCE OF ORDER \(\alpha\)

open access: yesUral Mathematical Journal, 2021
The main purpose of this work is to define Rough Statistical \(\Lambda\)-Convergence of order \(\alpha ...
Reena Antal   +2 more
doaj   +1 more source

Rough Statistical Convergence for Difference Sequences

open access: yesKragujevac 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
openaire   +2 more sources

On Gradual Borel Summability Method of Rough Convergence of Triple Sequences of Beta Stancu Operators

open access: yesDera 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
doaj   +1 more source

Rough I_((λ,μ) )-Statistical Convergence of Double Sequences in Gradual Normed Linear Spaces

open access: yesSüleyman 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
doaj   +1 more source

Convergence Rates for Upwind Schemes with Rough Coefficients [PDF]

open access: yesSIAM 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
openaire   +2 more sources

On I-statistically rough convergence

open access: yesPublications 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
openaire   +2 more sources

On Rough Statistical Convergence in Neutrosophic Normed Spaces [PDF]

open access: yesNeutrosophic Sets and Systems
In 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
doaj   +1 more source

A comprehensive mortise and tenon structure selection method based on Pugh's controlled convergence and rough Z-number MABAC method.

open access: yesPLoS ONE, 2023
Mortise and tenon joints are widely used in the building and furniture industries because of their excellent mechanical and eco-friendly properties. In real-life cases, there are usually many available alternative structures for a joint area, it is a ...
Bin Shang, Zhe Chen, Qing Ma, Yuhang Tan
doaj   +1 more source

On rough convergence of triple sequences [PDF]

open access: yesAIP Conference Proceedings, 2019
In this paper we define and study rough convergence of triple sequences, the set of rough limit points of a triple sequence. Also investigate the relations between the set of cluster points and the set of rough limit points of a triple sequence.
Esi, Ayhan   +2 more
openaire   +2 more sources

On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]

open access: yesNeutrosophic Sets and Systems
This 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
doaj   +1 more source

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