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stochastic相关的网络例句

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

It is useful for us to understand and apply models from the view of statistical dependence and stochastic comparison to study multivariate models.

从统计相依与随机比较的角度来研究多维模型,有利于人们更好把握与应用模型。

Statistical dependence and stochastic comparisons have been proven to be very useful in applied probability, statistics, reliability, operations research, and other fields.

统计相依与随机比较在应用概率、统计学、可靠性理论、运筹学等其它的领域有着广泛的应用。

First, we get the small noise asymptotic results for stochastic differential equation with jumps.

首先,我们得到了带跳的随机微分方程的小噪音渐近结果。

In Chapter 3, the existence and uniqueness of time-delayed forward-backward stochastic differential equation are considered.

在第三章中,我们研究了带时滞的正倒向随机微分方程解的存在唯一性问题,在一定的单调性假设条件下,我们对这一问题给出了肯定的回答。

Therefore applied the stochastic differential equation in the financial domain is a hot topic of discussion in recently several years.

所以将随机微分方程应用于金融领域是最近几年的1个热门话题。

Moreover,the stochastic differential equation of seepage boundary is proposed and the mechanism of seepage evolution is analyzed.

建立了渗流边界的随机微分方程,揭示了渗流边界形貌的演化机理。

There are two ways to describe uncertainty: one is by way of the stochastic differential equation, another is using the differential inclusion.

描述不确定性的方法主要有两种:一种是利用随机微分方程来描述;另一种是利用微分包含来描述。

The stochastic differential equation is not only the traditional but also the popular way to describe the uncertainty of the evolution of the stock price.

利用随机微分方程来描述股票价格变动的不确定性是一种传统的方法,也是现在比较流行的一种方法。

Stochastic differential equation plays an important role in mathematical finance.

随机微分方程是一个经典课题,在数理金融中有着重要的应用。

And some computing methods of stochastic differential equation are given.

基于Monte Carlo方法,结合微分方程数值解的方法,采用多种随机过程产生策略和随机模拟方法,对原系统进行了仿真,提出了相应的数值计算格式。

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