Badriah As Alamri
King Abdulaziz University
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Publication
Featured researches published by Badriah As Alamri.
Open Mathematics | 2015
Tomonari Suzuki; Badriah As Alamri; Misako Kikkawa
Abstract We prove that every 3-generalized metric space is metrizable. We also show that for any ʋ with ʋ ≥ 4, not every ʋ-generalized metric space has a compatible symmetric topology.
Journal of Inequalities and Applications | 2017
Mohd Shoaib Khan; Badriah As Alamri; M. Mursaleen; Q. M. Danish Lohani
Distance measures play a central role in evolving the clustering technique. Due to the rich mathematical background and natural implementation of [Formula: see text] distance measures, researchers were motivated to use them in almost every clustering process. Beside [Formula: see text] distance measures, there exist several distance measures. Sargent introduced a special type of distance measures [Formula: see text] and [Formula: see text] which is closely related to [Formula: see text]. In this paper, we generalized the Sargent sequence spaces through introduction of [Formula: see text] and [Formula: see text] sequence spaces. Moreover, it is shown that both spaces are BK-spaces, and one is a dual of another. Further, we have clustered the two-moon dataset by using an induced [Formula: see text]-distance measure (induced by the Sargent sequence space [Formula: see text]) in the k-means clustering algorithm. The clustering result established the efficacy of replacing the Euclidean distance measure by the [Formula: see text]-distance measure in the k-means algorithm.
Fixed Point Theory and Applications | 2014
Afrah An Abdou; Badriah As Alamri; Yeol Je Cho; Yonghong Yao; Li-Jun Zhu
AbstractIn this paper, we introduce two parallel algorithms for finding a zero of the sum of two monotone operators and a fixed point of a nonexpansive mapping in Hilbert spaces and prove some strong convergence theorems of the proposed algorithms. As special cases, we can approach the minimum-norm common element of the zero of the sum of two monotone operators and the fixed point of a nonexpansive mapping without using the metric projection. Further, we give some applications of our main results. MSC:49J40, 47J20, 47H09, 65J15.
Journal of Function Spaces and Applications | 2018
Tahair Rasham; Abdullah Shoaib; Badriah As Alamri; Muhammad Arshad
The purpose of this paper is to find out fixed point results for semi- -dominated multivalued mappings fulfilling a new generalized locally dominated multivalued contractive condition on a closed ball in complete dislocated metric space. Example and application both are given to show the novelty of our results. Our results merge, extend, and infer many results.
Journal of Function Spaces and Applications | 2017
Nawab Hussain; I. Iqbal; Badriah As Alamri; M. A. Kutbi
In this paper we utilize the concept of manageable functions to define multivalued manageable contractions and prove fixed point theorems for such contractions. As applications we deduce certain fixed point theorems which generalize and improve Nadler’s fixed point theorem, Mizoguchi-Takahashi’s fixed point theorem, and some other well-known results in the literature. Also, we give an illustrating example showing that our results are a proper generalization of Nadler’s theorem and provide an application to integral equations.
Journal of Function Spaces and Applications | 2015
Nawab Hussain; Giuseppe Marino; Badriah As Alamri
In the setting of Hilbert spaces, we study Mann’s type method to approximate strong solutions of variational inequalities. We show that these solutions are fixed points of a nonexpansive mapping and/or a strongly quasinonexpansive mapping, depending on the coefficients involved in the algorithm.
Journal of Inequalities and Applications | 2015
Abdullah Alotaibi; M. Mursaleen; Badriah As Alamri; S. A. Mohiuddine
Fixed Point Theory and Applications | 2015
Nawab Hussain; Giuseppe Marino; Luigi Muglia; Badriah As Alamri
Archive | 2015
Tomonari Suzuki; Badriah As Alamri; Liaqat Ali Khan
Fixed Point Theory and Applications | 2015
Tomonari Suzuki; Badriah As Alamri