1)  homogeneous Markov chains
时齐马氏链
2)  non-homogenous markov chain
非时齐马氏链
3)  non-time-homogeneous
非时齐
1.
In this paper,using a Picard type method of approximation,we research the existence and uniqueness of solutions of stochastic partial differential equations whose coefficients satisfy non-Lipschitz condition and are non-time-homogeneous,generalizing Denis and Stoica s results in [1].
在系数满足非时齐非Lipschitz条件下,利用Picard型逼近法研究了随机偏微分方程解的存在性和唯一性,把Denis和Stoica文章(2004)中相应结论推广到更一般情形,并给出两个具体的例子。
4)  time-homogeneity
时齐性
1.
In this note,we give the detail proofs of time-homogeneity of the solution of backward stochastic differential equation(BSDE in short)and their explanations in financial market.
本注记在一定条件下证明了倒向随机微分方程(简记为BSDE)的解满足时齐性,并给出其在金融市场中的解释。
5)  Homogeneous Markov Chain
时齐马链
6)  time homogeneous
时齐的
参考词条
补充资料：齐马
1.周时驾金路之马。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。