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Weighted statistical rough convergence in normed spaces

Statistical convergence is a significant generalisation of the traditional convergence of real or complex valued sequences. Over the years, it has been studied by many authors and found many applications in various problems. In this paper we introduce a new concept about statistical rough convergence for sequences in normed spaces by using weighted ...
Bayram, Erdal   +2 more
openaire   +3 more sources

On the convergence rate of the splitting-up scheme for rough partial differential equations

Computers and Mathematics With Applications, 2023
Yuchen He
exaly  

Rough I-Convergence

Demonstratio Mathematica, 2014
Erdinc Dundar, Celal Cakan
exaly  

On Rough ℐ 2 -Convergence of Double Sequences

Numerical Functional Analysis and Optimization, 2016
Erdinc Dundar
exaly  

On rough convergence variables of triple sequences

Analysis (Germany), 2020
Nagarajan Subramanian, Ayhan Esi
exaly  

Rough convergence of sequences in a cone metric space

Journal of Analysis, 2019
Amar Kumar Banerjee
exaly  

Korovkin-type approximation theorem for Bernstein operator of rough statistical convergence of triple sequences

Advances in Operator Theory, 2020
Bipan Hazarika   +2 more
exaly  

Convergence rates for the full Gaussian rough paths

Annales De L'institut Henri Poincare (B) Probability and Statistics, 2014
Peter Friz, Sebastian Riedel
exaly  

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