...
首页> 外文期刊>Fixexd point theory and applications >A relaxed hybrid shrinking iteration approach to solving generalized mixed equilibrium problems for totally quasi- ϕ -asymptotically nonexpansive mappings
【24h】

A relaxed hybrid shrinking iteration approach to solving generalized mixed equilibrium problems for totally quasi- ϕ -asymptotically nonexpansive mappings

机译:求解完全拟ϕ渐近非扩张映象的广义混合平衡问题的松弛混合收缩迭代方法

获取原文
           

摘要

An optimal existing method for the approximation of common fixed points of countable families of nonlinear operators is introduced, by which a relaxed hybrid shrinking iterative algorithm is developed for the class of totally quasi-ϕ-asymptotically nonexpansive mappings, and a strong convergence theorem for solving generalized mixed equilibrium problems is established in the framework of Banach spaces. Since there is no need to impose the uniformity assumption on the involved countable family of mappings and no need to compute a complex series at each step in the iteration process, the result is more widely applicable than those of other authors with related interests. MSC:47J06, 47J25.
机译:介绍了一种可数的非线性算子族的公共不动点逼近的最佳现有方法,针对全拟ϕ渐近非扩张映射,开发了一种松弛的混合收缩迭代算法,并提出了一个强收敛定理来求解。在Banach空间的框架内建立了广义混合均衡问题。由于不需要在涉及的可数映射族上强加统一性假设,也不需要在迭代过程的每个步骤中计算复杂的序列,因此该结果比具有相关兴趣的其他作者更广泛地适用。 MSC:47J06、47J25。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号