2019
DOI: 10.1080/02331934.2019.1647202
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Generalized suzuki-type mappings in modular vector spaces

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Cited by 4 publications
(6 citation statements)
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“…Condition (E) is wider than Suzuki's condition but stronger than quasi-nonexpansiveness. Another extension was subject to analysis in [19]. However, these generalized properties will not be a topic to be approached in this survey.…”
Section: Introductionmentioning
confidence: 99%
“…Condition (E) is wider than Suzuki's condition but stronger than quasi-nonexpansiveness. Another extension was subject to analysis in [19]. However, these generalized properties will not be a topic to be approached in this survey.…”
Section: Introductionmentioning
confidence: 99%
“…Definition 12. (See [3].) Let ρ be a convex modular satisfying ∆ 2 -condition on a vector space X, and let S ⊂ X ρ be a nonempty subset.…”
Section: M1 Condition (ρC) or Modular Suzuki Nonexpansive Mappingsmentioning
confidence: 99%
“…The idea of looking for new contractive conditions to lead to wider and wider classes of mappings, as well as the effort of extending the metric setting, are two of the main directions in fixed point theory. This paper provides a new contribution related to these directions by defining a new nonexpansiveness property, on Banach spaces initially, and extending it afterwards to modular vector spaces (please see [11,12] for the definition of modular vector spaces, as well as [1][2][3][4][5][8][9][10] and others, for important properties and connections with fixed point theory).…”
Section: Introductionmentioning
confidence: 99%
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“…Lately, various modular structures, viewed as alternatives to classical normed or metric spaces, have been intensely studied in connection with the fixed point theory. Many modular related research papers adopted the setting of a modular vector space (see [1][2][3][4][5]), while others used the more general framework of a metric modular space (see [6][7][8][9][10][11]). The notion of a metric modular, together with its stronger convex version, was firstly introduced and studied by Chistyakov in [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%