2017
DOI: 10.1007/s40840-017-0555-z
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Some Fixed-Circle Theorems on Metric Spaces

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Cited by 85 publications
(71 citation statements)
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“…Therefore, it is important to study fixed-point theorems using different contractive conditions on a rectangular Mmetric space even if a rectangular M-metric and a rectangular metric generate same topology. Furthermore, in the last section, we have given an introduction to the fixedcircle problem [8]. On this new space, it is possible to study some fixed-circle results by various aspects.…”
Section: An Application To Fixed-circle Problemmentioning
confidence: 99%
“…Therefore, it is important to study fixed-point theorems using different contractive conditions on a rectangular Mmetric space even if a rectangular M-metric and a rectangular metric generate same topology. Furthermore, in the last section, we have given an introduction to the fixedcircle problem [8]. On this new space, it is possible to study some fixed-circle results by various aspects.…”
Section: An Application To Fixed-circle Problemmentioning
confidence: 99%
“…Recently, a new approach is being studied to do geometric interpretations for fixed points which is called fixed-circle problem [14]. The notions of a circle and a fixed circle were defined on S-metric spaces as follows:…”
Section: S U V W = If and Only If U V W = = (S2) ( ) ( ) ( mentioning
confidence: 99%
“…Using the above definitions, some fixed-circle results were obtained on S-metric spaces (see [15] and [16] for more details).…”
Section: S U V W = If and Only If U V W = = (S2) ( ) ( ) ( mentioning
confidence: 99%
“…Fixed point theorems for discontinuous mappings have found wide applications, for example application of such theorems in the study of neural networks with discontinuous activation functions is a very active area of research (e. g. Ding et al [5], Forti and Nistri [6], Nie and Zheng [8,9,10], Wu and Shan [16]). Recently Ozgur and Tas [11,12] have obtained application of the results on discontinuity at the fixed point in neural networks with discontinuous activation functions.…”
Section: Introductionmentioning
confidence: 99%