Analysis of some convergence results for inertial variational inequalities problem and its application

dc.contributor.authorKunene, Thembinkosi Eezy
dc.date.accessioned2024-10-24T09:52:39Z
dc.date.available2024-10-24T09:52:39Z
dc.date.issued2023
dc.descriptionThe submission of the dissertation fulfills the requirements for attaining the Master of Science degree (MSc), Faculty of Science, School of Mathematics, University of the Witwatersrand, Johannesburg, 2023
dc.description.abstractSome core aspects of nonlinear analysis, which is a major branch of mathematics, are the optimization problems, fixed point theory and its applications. These concepts, that is, optimization theory, fixed point theory and its applications are widely applied in several fields of science such as networking, inventory control, engineering, economics, policy modelling, transportation and mathematical sciences to mention but a few. Due to its relevance to different fields, the theory of optimization and fixed point has been a popular field of research for a long time. Given its expansive nature, researchers continue to make new discoveries and advancements, contributing to its enduring significance across various disciplines. The goal of this dissertation is to explore some convergence iterative methods for approximating optimization problems. We propose a new modified projection and contraction algorithm for approximating solutions of a variational inequality problem involving a quasi-monotone and Lipschitz continuous mapping in real Hilbert spaces. We incorporate the technique of two-step inertial into a single projection and contraction method and prove a weak convergence theorem for the proposed algorithm. The weak convergence theorem proved requires neither the prior knowledge of the Lipschitz constant nor the weak sequential continuity of the associated mapping. Under additional strong pseudomonotonicity, the R-linear convergence rate of the two-step inertial algorithm is presented. Finally, some numerical examples are given to illustrate the effectiveness and competitiveness of the proposed algorithm in comparison with some existing algorithms in the literature
dc.description.submitterMM2024
dc.facultyFaculty of Science
dc.identifier.citationKunene, Thembinkosi Eezy. (2023). Analysis of some convergence results for inertial variational inequalities problem and its application [Master’s dissertation , University of the Witwatersrand, Johannesburg]. WireDSpace.https://hdl.handle.net/10539/41926
dc.identifier.urihttps://hdl.handle.net/10539/41926
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2023 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolSchool of Mathematics
dc.subjectInertial variational inequalities
dc.subjectUCTD
dc.subject.otherSDG-17: Partnerships for the goals
dc.titleAnalysis of some convergence results for inertial variational inequalities problem and its application
dc.typeDissertation
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