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weak convergence相关的网络例句

查询词典 weak convergence

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

First, we present various new convergence concepts for sequence of fuzzy random variables, including convergence sure, convergence almost sure, uniform convergence, uniform convergence almost sure, almost uniform convergence, convergence in chance measure, and their corresponding weak convergence. Second, the relations among some types of convergence are studied. Finally, we design some algorithms about fuzzy random simulations to compute the mean chance of fuzzy random event, find the optimistic value of a return function, and evaluate the expected value of a fuzzy random variable.

首先,提出了几类模糊随机变量序列的收敛性概念,包括:必然收敛、几乎必然收敛、一致收敛、几乎必然一致收敛、近一致收敛、依机会测度收敛以及与以上概念相对应的弱收敛;其次,讨论了收敛性之间的关系;最后我们设计了模糊随机模拟算法,用于计算模糊随机事件的平均机会,寻找收益函数的乐观值,以及估计模糊随机变量的期望值。

First, we present various new convergence concepts for sequence of fuzzy random variables, including convergence sure, convergence almost sure, uniform convergence, uniform convergence almost sure, almost uniform convergence, convergence in chance measure, and their corresponding weak convergence.

首先,提出了几类模糊随机变量序列的收敛性概念,包括:必然收敛、几乎必然收敛、一致收敛、几乎必然一致收敛、近一致收敛、依机会测度收敛以及与以上概念相对应的弱收敛;其次,讨论了收敛性之间的关系;最后我们设计了模糊随机模拟算法,用于计算模糊随机事件的平均机会,寻找收益函数的乐观值,以及估计模糊随机变量的期望值。

The convergence problem in normed space has been analysised firstly in thistext. It is similar to weak convergence property.

本文首先分析了赋范线性空间的收敛问题,它是一种类似于弱收敛的收敛性。

The third chapter mainly verify the weak convergence and strong convergence theorem ofRTRL.

第三章我们主要论证了RTRL算法的弱收敛和强收敛性定理。

Stability and convergence of the model are proven by means of the weak convergence theorem of generalized function and the convolved integration theory.

由广义函数弱收敛定理和卷积理论,证明所提出的非局部连续模型具备收敛性和稳定性。

Finally ,this paper primarily study the strong and weak convergence property of decomposable sets, that means we can find a decomposable composition which is convergent in the strong topology to every weak convergence sequence .

本文的另一个主要结论是讨论了可分解集的强弱收敛性质,即对弱收敛的函数列,我们可以找到其可分解组合强收敛。

If the probability measure is a Dirac measure, then the weak convergence implies strong convergence.

来源:A4727B72C论文网www.abclunwen.com

Limit theorems for the integration of function sequence with respect to weak convergence probability measure sequence are proved under the condition of the weak tight, which have been used to research the some convergence of expectant functional sequence,and a sufficient condition for the epi-convergence of expectant functional sequence is obtained.

提出了弱胎紧的概念,并在弱胎紧的条件下证明了函数序列关于弱收敛概率测度序列积分的极限定理,用其研究了期望泛函序列的若干收敛性,得到了期望泛函序列的、上图收敛的一个充分条件。

Compactness and the relation between strong convergence and weak* convergence.

紧性以及强收敛和弱收敛之间的关系。

Then convergence has beenproved between normed convergence and weak convergence.

接下来,证明了收敛是介于依范数收敛和弱收敛之间的。

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