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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Bartın Üniversitesi ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Bartın Üniversitesi Akademik Arşiv Sistemi
Article . 2026
Data sources: Bartın Üniversitesi Akademik Arşiv Sistemi
Claim

EXPLORING STATISTICAL CONVERGENCE VIA IDEALS IN METRIC-LIKE SPACES

descriptionPublicationkeyboard_double_arrow_right Article 22 Feb 2026 Turkey English Publisher:Gakko Tosho Co. Ltd.
Authors: Gürdal, Mehmet; Kı?şı?, Ömer;

handle: 11772/27019

EXPLORING STATISTICAL CONVERGENCE VIA IDEALS IN METRIC-LIKE SPACES

Abstract

This work defines and examines the concepts of I-statistical convergence and I-statistical Cauchyness for sequences in a metric-like space. We also examine the I-statistical limit points and cluster points of these sequences, exploring their fundamental properties and the relationships between the sets of all I-statistical limit and cluster points in the context of a metric-like space. © 2025, Gakko Tosho Co. Ltd.. All rights reserved.

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Turkey
Related Organizations
Keywords

I-statistical cluster points, I-statistical limit points, Metric-like space

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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