Results 41 to 50 of about 90,397 (281)
Some Fixed Point Theorems in Generalized Probabilistic Metric Spaces
We introduce the concepts of (H,ψ,Φ)-contraction and probabilistic (α,φ)-contraction mappings in generalized probabilistic metric spaces and prove some fixed point theorems for such two types of mappings in generalized probabilistic metric spaces.
Chuanxi Zhu, Wenqing Xu, Zhaoqi Wu
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P-Cyclic C-Contraction Result in Menger Spaces Using a Control Function
The intrinsic flexibility of probabilistic metric spaces makes it possible to extend the idea of contraction mapping in several inequivalent ways, one of which being the C-contraction. Cyclic contractions are another type of contractions used extensively
Choudhury B. S., Bhandari S. K.
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The aim of this paper is to give some fixed point results in generalized Menger probabilistic metric spaces. Moreover, some nontrivial examples are presented to illustrate the superiority of the obtained results.
Huaping Huang +3 more
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Modeling Mental Qualities [PDF]
Conscious experiences are characterized by mental qualities, such as those involved in seeing red, feeling pain, or smelling cinnamon. The standard framework for modeling mental qualities represents them via points in geometrical spaces, where distances ...
Lee, Andrew Y.
core
Multi-Embedding of Metric Spaces
Metric embedding has become a common technique in the design of algorithms. Its applicability is often dependent on how high the embedding's distortion is.
Bartal, Yair, Mendel, Manor
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Towards Trace Metrics via Functor Lifting [PDF]
We investigate the possibility of deriving metric trace semantics in a coalgebraic framework. First, we generalize a technique for systematically lifting functors from the category Set of sets to the category PMet of pseudometric spaces, showing under ...
Baldan, Paolo +3 more
core +5 more sources
In this paper, first by using the constructions of probabilistic b-metric Menger space and probabilistic metric like Menger space, we introduce probabilistic b-metric like Menger space and present some examples of it.
Mahnaz Khanehgir, Reza Allahyari
doaj
Strong Statistical Convergence in Probabilistic Metric Spaces
In this article, we introduce the concepts of strongly statistically convergent sequence and strong statistically Cauchy sequence in a probabilistic metric (PM) space endowed with the strong topology, and establish some basic facts. Next, we define the strong statistical limit points and the strong statistical cluster points of a sequence in this space
Sencimen, C., Pehlivan, S.
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The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Completeness in Probabilistic Metric Spaces
In this paper, we present the Cantor Intersection Theorem and a formulation of Baire Theorem in complete PM spaces. In addition, the Heine-Borel property for PM spaces is considered in detail.
Tafti, Delavar Varasteh, Azhini, Mahdi
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