image enhancement

基本解释映象增强

网络释义

1)image enhancement,映象增强2)strongly accretive mapping,强增生映象3)Φ-strongly accretive mappings,Φ-强增生映象4)local strongly accretive mapping,局部强增殖映象5)ψ-strongly accretive mapping,ψ-强增生映象6)Ф-strongly accretive mappings,Φ强增生映象

用法和例句

Under the only assumption of the continuity of strongly accretive mappings, and by virtue of the Holder continuity of th duality mapping Jp given by Prof.

在仅假设强增生映象的连续性下,利用徐宗本教授等人(1991年)给出的对偶映象Jp的Holder连续性,证明了具误差的Mann迭代法强收敛到这类变分包含的唯一解。

Under the only assumption of the continuity of strongly accretive mappings and without the condition βn→0(n→∞), by virtue of the Holder continuity of the duality mapping Jp given by Xu Zong-ben et al.

在仅假设强增生映象的连续性与没有条件βn→0(n→∞)下,利用徐宗本等人给出的对偶映象Jp的Holder连续性,证明了具误差的Ishikawa迭代程序强收敛到这类变分包含的唯一解。

The author presents a related result that the new Ishikawa iterative with errors converges to a solution of the nonlinear equation Tx = f when T is Lipschitz strongly accretive mapping.

本文给出一个新的具误差的 Ishikawa 迭代程序强收敛到 T 的唯一不动点,并给出一个涉 及 Lipschitz 强增生映象 T 的非线性方程 Tx = f 的解的迭代逼近。

This article studys the Ishikawa iterative method with errors converges storongiy to the solutions of the equations for Φ-strongly accretive mappings in general Banach spaces,the results presented in this paper improve and extend relevant results of Chidume C.

在任意的实Banach空间中,研究Φ-强增生映象T的方程的解的具误差Ishikawa迭代序列的逼近问题,改进并推广了Chidume CE,Osilike M O中的相关研究结果,使结论更具一般性。

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