1) Almost sure stability
几乎处处稳定
1.
For the linear stochastic differential equations a class of the full implicit Euler methods was proposed, the numerical solution generated by it was almost surely convergent, and the necessary and sufficient condition of almost sure stability for the method were given.
针对线性随机微分方程,提出了一类全隐式Euler方法,证明了该方法生成的数值解几乎处处收敛,给出了该方法几乎处处稳定的充要条件。
2) almost sure stability
几乎处处稳定性
1.
The sufficient condition for almost sure stability of Markov jump linear systems with disturbance;
具有干扰的马尔科夫跳跃线性系统几乎处处稳定性充分条件
3) almost sure asymptotic stability
几乎处处渐近稳定
1.
In this paper we present a study of the almost sure asymptotic stability properties of second order linear stochastic system with an egodic stiffness coefficient.
对刚度系数是遍历过程的二阶线性随机微分方程，本文研究了其平凡解几乎处处渐近稳定性问题。
4) almost everywhere
几乎处处
1.
This paper discusses the difference of the two of definitions of distribution func-tion, and the result is that the tow functions are equal almost everywhere.
其结论是:在不同方式的定义下,同一随机变量的分布函数几乎处处相等。
5) μ-almost everywhere,mu-almost everywhere
μ几乎处处
6) almost sure central limit theorem
几乎处处中心极限定理
1.
Note on the almost sure central limit theorem for ρ~--mixing sequences.;
ρ~--混合序列几乎处处中心极限定理的注记
2.
The almost sure central limit theorem for the maximum and minimum of stationary Gaussian sequences of d-mensional random vectors was considered as max1≤p≠q≤d supn≥0 |rn(p,q)|<1 and ρnlog n(log log n)1+ε=O(1).
max sup1≤p≠q≤dn≥0|rn(p,q)|<1且ρnlogn(log logn)1+ε=O(1)条件下,证明了d维标准化平稳高斯向量序列的最大值与最小值联合的几乎处处中心极限定理。
3.
Under the con- ditions of D′(u_n)and D_2({u_k,u_n}),an almost sure central limit theorem for the maximum of weakly de- pendent sequences is obtained.
设{ξ_i}_(i=1)~∞为弱相依平稳随机变量序列,{u_n}为给定的实数序列,在条件D′(u_n)和D_2({u_k,u_n})之下,研究了弱相依序列最大值的几乎处处中心极限定理。
补充资料：几乎处处收敛
几乎处处收敛
convergence, almost - everywhere
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说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条