可数族弱Bregman相对非扩展映像的收敛性分析

Convergence Analysis for Countable Family of Weak Bregman Relatively Nonexpansive Mappings

在自反Banach空间中,引入可数族弱Bregman相对非扩张映像概念,构造了两种迭代算法求解可数族弱Bregman相对非扩张映像的公共不动点.在适当条件下,证明了两种迭代算法产生的序列的强收敛性.

A notion of countable family of weak Bregman relatively nonexpansive mappings is introduced in reflexive Banach space. We construct two iterative algorithms for finding a common fixed point of a countable family of weak Bregman relatively nonexpansive mappings in Banach spaces. Finally, the strong convergence of the proposed algorithms are also proved under appropriate conditions.