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Development of the Stitching-Oblique Incidence Interferometry Measurement Method for the Surface Flatness of Large-Scale and Elongated Ceramic Parts. [PDF]
Sensors (Basel)Wang S +5 more
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Path planning for autonomous vehicles based on the improved ant colony algorithm. [PDF]
Sci RepWen G +5 more
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Performance of triangular fin device coated with (SiC-Co<sub>3</sub>O<sub>4</sub>)/diathermic nanolubricant inspired by convective and radiation conduction using AI driven approach. [PDF]
Sci RepAyadi B +7 more
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Mathematica Slovaca, 2019
AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal, Avishek Ghosh
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AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal, Avishek Ghosh
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Numerical Functional Analysis and Optimization, 2008
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
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In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
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Rough statistical convergence for generalized difference sequences
2023Summary: In this work, we introduce the rough statistical convergence for normed linear spaces with generalized difference sequences. We also define the set of \(r\)-statistical limit points for generalized difference sequences and discuss some topological properties of this set.
OR, AYKUT, KARABACAK, GÖKAY
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