DOIAbstract
AbstractWe introduce and investigate statistical convergence in topological and uniform spaces and show how this convergence can be applied to selection principles theory, function spaces and hyperspaces
AbstractWe introduce and investigate statistical convergence in topological and uniform spaces and show how this convergence can be applied to selection principles theory, function spaces and hyperspaces
The statistical convergence in metric spaces is considered. Its equivalence to the statistical funda...
Abstract: Several notions of convergence for subsets of metric space ap-pear in the literature. In t...
Computational topology has recently known an important development toward data analysis, giving birt...
AbstractWe introduce and investigate statistical convergence in topological and uniform spaces and s...
Following the concept of statistical convergence, we define and study statistical analog concepts of...
A sequence {xn} is said to be statistically convergent to ℓ provided that almost all of the values...
A sequence {xn} is said to be statistically convergent to ℓ provided that almost all of the values...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
summary:We study several kinds of statistical convergence of sequences of functions with values in s...
The notion of convergence wins its own important part in the branch of Topology. Convergences in met...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
In this paper, the concept of lacunary statistical convergence(4) is generalized to topological grou...
Several notions of convergence for subsets of metric space appear in the literature. In this paper w...
The statistical convergence in metric spaces is considered. Its equivalence to the statistical funda...
Abstract: Several notions of convergence for subsets of metric space ap-pear in the literature. In t...
Computational topology has recently known an important development toward data analysis, giving birt...
AbstractWe introduce and investigate statistical convergence in topological and uniform spaces and s...
Following the concept of statistical convergence, we define and study statistical analog concepts of...
A sequence {xn} is said to be statistically convergent to ℓ provided that almost all of the values...
A sequence {xn} is said to be statistically convergent to ℓ provided that almost all of the values...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
summary:We study several kinds of statistical convergence of sequences of functions with values in s...
The notion of convergence wins its own important part in the branch of Topology. Convergences in met...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
The statistical convergence is handled for sequences with the natural density, in general. In a rece...
In this paper, the concept of lacunary statistical convergence(4) is generalized to topological grou...
Several notions of convergence for subsets of metric space appear in the literature. In this paper w...
The statistical convergence in metric spaces is considered. Its equivalence to the statistical funda...
Abstract: Several notions of convergence for subsets of metric space ap-pear in the literature. In t...
Computational topology has recently known an important development toward data analysis, giving birt...
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