Results 11 to 20 of about 15,265 (260)
ROUGH CONTINUOUS CONVERGENCE OF SEQUENCES OF SETS [PDF]
Facta Universitatis, Series: Mathematics and Informatics, 2021 In this paper, we define a new type of convergence of sequences of sets by using the continuous convergence (or α-convergence) of the sequence of distance functions. Then we proved in which case it is equivalent to rough Wijsman convergence by considering the different values of the roughness degrees.
Olmez, Oznur +2 more
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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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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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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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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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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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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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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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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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PLoS 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
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