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In this paper, an axiomatic system for the definition of degree of greyness of grey number is built based on discussion with two definitions of degree of greyness of grey number which have been put forward in the past.

基于对已有的几种灰数灰度定义的讨论,建立了灰数灰度定义的公理系统;以灰数灰度定义公理为准绳,由灰数产生的背景或论域及灰数取数域的测度构造出一种新的灰数灰度定义式。

And with these results, I delve further into the theoretical issues of MSP and the concentration is on a special class of MSP-Doob skeleton processes. Generalized limit distribution, limit distribution of these processes and conditions and the expressions for the existence of invariable measure of such processes are provided. Finally, these new results are then applied to queueing theory, reliability theory and inventory theory. A detailed study of GI/G/1 queuing model, parallel connection system model, water reservoir model and perishable inventory model is discussed. These models have already been investigated to some degree. In particular, as mentioned above, some scholars have already successfully applied the transient behavior theory of MSP to these models and transient distributions of main variables in such models have been obtained. However, the limit behavior has not been addressed. In this thesis, limit behavior of main variables in the above-mentioned models is established.

在这个基础上,对马尔可夫骨架过程的理论进一步进行了探讨,将注意力集中于一类特殊的马尔可夫骨架过程Doob骨架过程,给出了这类过程的广义极限分布、极限分布以及不变测度存在性条件和表达式,并应用这些结论于排队论、可靠性理论和存储论等领域-具体分析了GI/G/1排队论系统模型、并联系统模型、水库储水模型、易腐烂物品库存模型——这些模型都不同程度地被许多学者研究过,特别,如前面提及,已有人成功地应用马尔可夫骨架过程的瞬时性态理论,获得了上述各模型中的主要参量过程的瞬时分布,但是,却并没有探讨它们的极限性态——建立了若干关于上述各模犁的主要参量过程的极限性态的结果。

In this thesis, we investigate the properties of two classes of infinite dimensional Markov processes, measure-valued branching processes with immigration and distribution-valued generalized Ornstein-Uhlenbeck processes.

在论文中,我们将研究两类无穷维马尔可夫过程的性质—带移民的测度值分枝过程和分布值广义Ornstein-Uhlenbeck过程。

2 The concept of index utility and its mensuration is built up.

提出了指数效用论观点和测度方法。

New properties and improvements on VSI. Combining the density processof local absolute continuous measure, properties of the martingale space H1 and semi-martingale space, and the closed image theorem of functional analysis (see the proofs ofTheorem 2.4.5 and Theorem 2.4.10), we obtain the general form of Girsanov Theorem forsemi-martingale vector stochastic integral .

特别是利用局部绝对连续测度的密度过程、鞅空间H1与半鞅空间的性质以及泛函分析中的闭图像定理(见定理2.4.5与定理2.4.10的证明)获得了一般形式的半鞅向(来源:Ab6BC论a1文网www.abclunwen.com)量随机积分的Girsa-nov定理,它对于随机分析的理论与随机积分的应用都具有重要价值。

However, the theory of stochastic differential equations, the theory of Wiener measure, and the theory of entropy have gone far beyond the original purpose of their study.

他们发展出来的如随机微分方程,维纳测度沦,熵论等,最终都远远超出它们原来的动机。

The contents of the abstract of the short Communication is:"The paper gives a complete differential partition to a Euclidean straight line with a fixed frame, and three axioms for the integral of infinitesimals indexed by real numbers; proves in standard mathematics there are positive infinitesimals outside of real number set; Gives cosmic, macro and micro counterexamples to two axioms in Jordan, Carathéodory, and Lebesgue measure theory; transforms Weierstrass limit into Huang limit, Cantor continuum into Huang continuum, and Newton-Leibniz formula into Huang formula."

这个短的发言的摘要的内容如下:&此文对一条确定了固定标架的欧几里德直线给出了完整的微分分拆,并对以实数为标号的无穷小的积分给出了三条公理;在标准数学中证明了在实数集合之外存在正的无穷小;对若当,卡拉特欧多里和勒贝格测度论中的两条公理给出了宇观的,宏观的和微观的反例;将外尔斯特拉斯极限改进为黄氏极限,将康托连续统改进为黄氏连续统,和将牛顿-莱布尼茨公式改进为黄氏公式。&

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