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拟φ-严格渐近伪压缩映像族的具误差的收缩投影算法

Shrinking Projection Methods of Error for a Family of Quasi-φ-strict Asymptotically Pseudo-contractions
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摘要 在自反、严格凸、光滑的Banach空间中,设计出拟φ-严格渐近伪压缩映像族的公共不动点的具误差的收缩投影算法,并利用广义投影算子和K-K性质等技巧证明了算法的强收敛性。所得结果改进与推广了近期的相关结果。 In strictly convex,reflexive,smooth Banach spaces,a new contractions projection algorithm of error for a family of quasi- φ- strict asymptotically pseudo- contractions of common fixed point. A strong convergence theorem of the common elements is proved by using generalized projection operator,the K- K property and other analysis techniques. The results presented in this paper improve and extend the corresponding ones announced by many others.
出处 《延安大学学报(自然科学版)》 2016年第2期93-96,共4页 Journal of Yan'an University:Natural Science Edition
基金 陕西省自然科学基础研究计划资助项目(2014JM2-1003) 陕西省高水平大学建设专项资金资助项目数学学科(2012SXTS07)
关键词 具误差的收缩投影算法 拟φ-严格渐近伪压缩映像 广义投影算子 强收敛定理 contractions projection algorithm of error quasi-φ-strict asymptotically pseudo-contractions generalized projection operator strong convergence theorem
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