{"title":"Viscosity approximation method for split best proximity point and monotone variational inclusion problem","authors":"S. Husain, Mohd Asad","doi":"10.1080/00207160.2023.2239953","DOIUrl":null,"url":null,"abstract":"ABSTRACT To address the split best proximity point and monotone variational inclusion problems in real Hilbert spaces, we present and investigate projection and viscosity approximation methods. Under a few reasonable assumptions, we prove some weak and strong convergence theorems for the aforementioned methods. The efficiency of the proposed method is demonstrated by some numerical examples. Some well-known recent results in this area have been improved, generalized, and extended as an outcome of this paper.","PeriodicalId":13911,"journal":{"name":"International Journal of Computer Mathematics","volume":"94 1","pages":"1941 - 1954"},"PeriodicalIF":1.7000,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Mathematics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/00207160.2023.2239953","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT To address the split best proximity point and monotone variational inclusion problems in real Hilbert spaces, we present and investigate projection and viscosity approximation methods. Under a few reasonable assumptions, we prove some weak and strong convergence theorems for the aforementioned methods. The efficiency of the proposed method is demonstrated by some numerical examples. Some well-known recent results in this area have been improved, generalized, and extended as an outcome of this paper.
期刊介绍:
International Journal of Computer Mathematics (IJCM) is a world-leading journal serving the community of researchers in numerical analysis and scientific computing from academia to industry. IJCM publishes original research papers of high scientific value in fields of computational mathematics with profound applications to science and engineering.
IJCM welcomes papers on the analysis and applications of innovative computational strategies as well as those with rigorous explorations of cutting-edge techniques and concerns in computational mathematics. Topics IJCM considers include:
• Numerical solutions of systems of partial differential equations
• Numerical solution of systems or of multi-dimensional partial differential equations
• Theory and computations of nonlocal modelling and fractional partial differential equations
• Novel multi-scale modelling and computational strategies
• Parallel computations
• Numerical optimization and controls
• Imaging algorithms and vision configurations
• Computational stochastic processes and inverse problems
• Stochastic partial differential equations, Monte Carlo simulations and uncertainty quantification
• Computational finance and applications
• Highly vibrant and robust algorithms, and applications in modern industries, including but not limited to multi-physics, economics and biomedicine.
Papers discussing only variations or combinations of existing methods without significant new computational properties or analysis are not of interest to IJCM.
Please note that research in the development of computer systems and theory of computing are not suitable for submission to IJCM. Please instead consider International Journal of Computer Mathematics: Computer Systems Theory (IJCM: CST) for your manuscript. Please note that any papers submitted relating to these fields will be transferred to IJCM:CST. Please ensure you submit your paper to the correct journal to save time reviewing and processing your work.
Papers developed from Conference Proceedings
Please note that papers developed from conference proceedings or previously published work must contain at least 40% new material and significantly extend or improve upon earlier research in order to be considered for IJCM.