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uniformly convex相关的网络例句

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与 uniformly convex 相关的网络例句 [注:此内容来源于网络,仅供参考]

These results were obtained without the assumption that Banach space is uniformly convex.

这些结果都不需要空间一致凸的假设。

We proved the nonlinear ergodic theorem for semitopological semigroups of asymptotically nonexpansive mappings in the uniformly convex Banach space with the Frechet differentiable norm. We also point out that some key conditions in [23] [24] are unnecessary.

本文第一章主要将文[23][24]中的结论推广到殆轨道的情形,这不仅回答了Lau-Takahashi[24]中的问题,而且指出了文[23][24]中的某些关键条件是不必要的。

Li 101 proved the nonlinear ergodic theorem for semitopological semigroups of Lipschitzian mappings in the uniformly convex Banach space with the Frechet differentiable norm without using the concept of invariant mean and submean. In Chapter 1, we extend the results in [23 [24] to the case of almost-orbit.

Li[10]避开了不变平均及不变子平均的概念,在具Frechet可微范数的一致凸Banach空间中,给出了一般拓扑半群上渐近非扩张半群的遍历压缩定理。

Using Bruck抯 Lemma [2], Passty [7] extended to the results of [4,5] to a uniformly convex Banach space with a Frechet differentiable norm.

随后,Passty[7]又利用Bruck引理[2]将[4][5]的结果推广到具有范数Frechet可微的一致凸Banach空间中。

Pisier\'s results,under tree martingale valued space X is isomorphic toan a-uniformly convex space (2≤a<∞),some quasi-normal or normal inequalitiesof a-variation maximal operator and a-conditional variation maximal operator of X-valued predictable tree martingales are identified.

同时,用G.Pisier's结果在树鞅取值空间X同构于a一致凸Banach空间条件下,证明了几个X-值树鞅α-方极大算子和a-条件方极大算子的拟范数不等式与范数不等式。

This paper studied the iterative approximation problem of fixed points for asymptotically quasi-nonexpansive type mappings with mixed errors in uniformly convex Banach space.

研究了一致凸Banach空间中渐近拟非扩张型映象不动点具混合误差的迭代逼近问题,改进和推广了相关文献的结果。

In this paper, the problem of an iterative sequence approximation a common fixed point for nonexpansive non-self mappings is studied in real uniformly convex Banach space, then we obtain a strongly convergence theorem.

在实一致凸Banach空间中,讨论了关于非扩张非自映射序列逼近公共不动点的问题,获得了一个强收敛定理,改进和推广了现有文献的一些相应结果。

The objective of Chapter 2 is to give the weak convergence theorem of S ={T1 :t E G of asymptotically nonexpansive mappings in a uniformly convex Banach space without assuming that X has a Frechet differentiable norm.

本文第二章在G仅要求是一个定向网,X为不具有范数Frechet可微条件的一致凸Banach空间的情况下,给出了一族渐近非扩张映射的弱收敛定理。

A class of modified BFGS algorithm which satisfies the new quasi-Newton equation is proposed in the paper[1],and the global convergence of the algorithm is proved under the condition that the objective function is uniformly convex.

文献[1]曾在已建立的一类新拟牛顿方程 Bk+1sk=yk-=yk+kγskTsksk的基础上,证明了满足新拟牛顿方程的一类改进BFGS算法在目标函数为一致凸的条件下,具有全局收敛性。

In 1936, J.Clarkson first introduced the concept of uniformly convex Banach spaces ,initiated from geometric structure of the unit sphere of Banach spaces to research the properties of Banach spaces, began to research convex theory of Banach spaces. The same year, J.

Clarkson首先引入了一致凸Banach空间的概念,开创了从Banach空间单位球的几何结构出发来研究Banach空间性质的方法,开始了Banach空间凸性理论的研究。

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