Title of article
Hybrid iterative algorithms for the split common fixed point problems
Author/Authors
Jung ، Jong Soo - Dong-A University
Pages
15
From page
2214
To page
2228
Abstract
In this paper, we introduce two iterative algorithms (one implicit algorithm and one explicit algorithm) based on the hybrid steepest descent method for solving the split common fixed point problems. We establish the strong convergence of the sequences generated by the proposed algorithms to a solution of the split common fixed point problems, which is also a solution of a certain variational inequality. In particular, the minimum norm solution of the split common fixed point problems is obtained. As applications, variational problems and equilibrium problems are considered.
Keywords
Split common fixed point problem , firmly nonexpansive mapping , nonexpansive mapping , variational inequality , minimum , norm , p , Lipschitzian and ת , strongly monotone operator , bounded linear operator , variational problems , equilibrium problems , iterative algorithms
Journal title
Journal of Nonlinear Science and Applications
Serial Year
2017
Journal title
Journal of Nonlinear Science and Applications
Record number
2476542
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