Maneesha Tur Raazzia

Mrs. Maneesha Tur Raazzia

Mathematics Department, University of Management and Technology, Lahore, Punjab, Pakistan
Aspire to Inspire

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 August 2023 in Symmetry
Verified
Journal Article
Open access
PDF file
NSNaeem Saleem
Naeem Saleem
Maneesha Tur RaazziaManeesha Tur Raazzia
Maneesha Tur Raazzia
NHNawab Hussain
Nawab Hussain
AAAsim Asiri
Asim Asiri
The objective of this research paper is to establish the existence and uniqueness of the best proximity and coincidence with best proximity point results, specifically focusing on Geraghty–Pata–Suzuki-type proximal mappings. To achieve this, we introduce three types of mappings, all within the context of a complete metric space: an α-θ-Geraghty–Pata–Suzuki-type proximal contraction; an α-θ-generalized Geraghty–Pata–Suzuki-type proximal contraction; and an α-θ-modified Geraghty–Pata–Suzuki-type proximal contraction. These new results generalize, extend, and unify various results from the existing literature. Symmetry plays a crucial role in solving nonlinear problems in operator theory, and the variables involved in the metric space are symmetric. Several illustrative examples are provided to showcase the superiority of our results over existing approaches.