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Four Step F-Stable Iterative Technique for Garcia-Falset Mapping with Improved Convergence and Various Applications

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dc.contributor.author Begum, Shaista
dc.date.accessioned 2024-09-24T05:16:22Z
dc.date.available 2024-09-24T05:16:22Z
dc.date.issued 2024-09-23
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/46781
dc.description Master of Philosophy in Mathematics School of Natural Sciences (Registration No: 00000403076) en_US
dc.description.abstract In thisothesis, Firstowe presentiainewoform of iterative technique. This new itera tiveostrategy forocontraction mappingooutperforms previousomethods suchoas Picard, Thakur etoal.,iand Asghar Rahimi and many more. We compared these iterative meth ods againstoa new iterative strategy and presented the findingsographically.iThe re search investigatesothe convergence of this new iteration to the fixed point inouniformly convexoBanachospaces using GarciaoFalset operator and worked on itsostability. We also present the working of this iterative technique on to a boundaryivalue problem to support our findings. Moreover, exhibit the applicabilityiof four-stepiiteration pro cess in the delayidifferential equations. Finally, we design a training problem for an implicitineural network that can be considered as an extension of traditional Feed forwardinetwork. en_US
dc.description.sponsorship Supervisor: Prof. Dr. Quanita Kiran en_US
dc.language.iso en_US en_US
dc.publisher School of Natural Sciences National University of Sciences and Technology en_US
dc.title Four Step F-Stable Iterative Technique for Garcia-Falset Mapping with Improved Convergence and Various Applications en_US
dc.type Thesis en_US


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