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1)  asymptotically nonexpansive mapping
渐近非扩展映象
1.
Implicit iterative approximation for a finite family of asymptotically nonexpansive mappings in Banach spaces;
Banach空间中有限个渐近非扩展映象公共不动点的隐式迭代逼近
2.
In the present paper, several strong convergence results for the modified multistep iterative schemes for a class of asymptotically nonexpansive mappings were established.
 建立了渐近非扩展映象族的多步迭代格式的几个强收敛结果,所得结果扩展并改进了Xu和Noor等人的最新结果。
2)  asymptotically quasi-nonexpansive type mapping
渐近拟非扩展型映象
1.
The author studied the iterative approximation problem of fixed points for asymptotically quasi-nonexpansive type mappings and asymptotically nonexpansive type mappings in Banach spaces under some new condition.
在更一般的条件下研究了Banach空间中渐近拟非扩展型映象和渐近非扩展型映象不动点的迭代逼近问题。
3)  asymptotically nonexpansive mapping
渐近非扩张映象
1.
Weak and Strong Convergence Theorems of Common Fixed Points for Asymptotically Nonexpansive Mappings with Errors;
渐近非扩张映象公共不动点具误差的弱和强收敛定理
2.
Approximating Common Fixed Points of Asymptotically Nonexpansive Mappings with Errors;
渐近非扩张映象对公共不动点具误差的逼近问题
3.
A new implicit iterative process for a finite family asymptotically nonexpansive mappings in banach spaces;
Banach空间中有限族渐近非扩张映象的新隐迭代程序
4)  asymptotically nonexpansive mappings
渐近非扩张映象
1.
The CKQ Method for Modified Ishikawa Iterative Sequences Involving Asymptotically Nonexpansive Mappings;
具渐近非扩张映象的修改Ishikawa迭代序列的CKQ方法
2.
Approximating to fixed points of asymptotically nonexpansive mappings in uniformly convex Banach spaces;
逼近一致凸Banach空间中渐近非扩张映象的不动点
3.
Let E be a uniformly convex Banach space satisfying Opial s condition,C be a nonempty closed convex subset of E,and T_1,T_2…,T_N:C→C be N asymptotically nonexpansive mappings with common fixed points.
设E是满足Op ial条件的一致凸Banach空间,C是E的非空闭凸子集,T1,T2…,TN:C→C是N个具有公共不动点的渐近非扩张映象。
5)  asymptotically non-expansive mapping
渐近非扩张映象
1.
The stability problems with asymptotically non-expansive mappings in uniformly convex Banach spaces are identified.
在一致凸的Banach空间中,研究了渐近非扩张映象的稳定性问题,文中不要求定义域和值域有界;且使用了一种新的方法进行了定理的证明。
2.
Some necessary and sufficient conditions for strongly convergence of Ishikawa iterative sequence with random errors of fixed points for asymptotically pseudo-contraction mappings and asymptotically non-expansive mapping in real Banach spaces were given .
给出了实Banach空间中渐近伪压缩映象和渐近非扩张映象带随机误差的Ishikawa迭代序列强收敛于某不动点的充要条件,所得结果改进和推广了张石生、LiuQH等人的最新结果。
6)  non-self asymptotically nonexpansive mappings
渐近非扩张非自映象
补充资料:渐近公式


渐近公式
asymptotic formula

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