Self-Adaptive Algorithms for the Split Common Fixed Point Problem of the Demimetric Mappings

HTML  XML Download Download as PDF (Size: 314KB)  PP. 2187-2199  
DOI: 10.4236/jamp.2019.710150    447 Downloads   1,009 Views  Citations

ABSTRACT

The split common fixed point problem is an inverse problem that consists in finding an element in a fixed point set such that its image under a bounded linear operator belongs to another fixed-point set. In this paper, we present new iterative algorithms for solving the split common fixed point problem of demimetric mappings in Hilbert spaces. Moreover, our algorithm does not need any prior information of the operator norm. Weak and strong convergence theorems are given under some mild assumptions. The results in this paper are the extension and improvement of the recent results in the literature.

Share and Cite:

Chen, X. , Song, Y. , He, J. and Gong, L. (2019) Self-Adaptive Algorithms for the Split Common Fixed Point Problem of the Demimetric Mappings. Journal of Applied Mathematics and Physics, 7, 2187-2199. doi: 10.4236/jamp.2019.710150.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.