stochastic differential equations造句

例句与造句

1. study on a stochastic differential equation
   一个随机微分方程的研究
2. a note on the solution of backward stochastic differential equation
   关于倒向随机微分方程解的一点注记
3. stochastic differential equations; comparison theorem; weak convergence
   随机微分方程比较定理弱收敛
4. two optimal models associated with stochastic differential equations
   与随机微分方程联系的两个优化模型
5. coupled forward-backward stochastic differential equations with random jumps
   带跳的耦合正倒向随机微分方程
6. It's difficult to find stochastic differential equations in a sentence. 用stochastic differential equations造句挺难的
7. exponential stability of stochastic differential equation with time-varying delay
   变时滞随机微分方程的指数稳定性
8. fully-coupled forward-backward stochastic differential equations under local lipschitz condition
   条件下的正倒向随机微分方程
9. an almost surely continuous property on solutions of backward stochastic differential equation
   几乎处处意义下倒向随机微分方程解对终值的连续性
10. this method is based on ito stochastic differential equation which provides the statistical characteristic of the state variables
    此研究方法是以伊藤随机微分方程式为主。
11. continuous dependence of the solution of multi-dimensional reflected backward stochastic differential equations on the parameters
    多维反射倒向随机微分方程的解对参数的连续依赖性
12. in this paper, we study the existence and uniqueness of solutions to stochastic differential equations with jump in the plane by successive approximation's method
    摘要本文我们用逐次逼近的方法研究双参数带跳随机微分方程解的存在性和轨道唯一性。
13. in this paper, we prove existence and uniqueness of strong solutions for stochastic differential equations by a transformation of killing their diffusion coefficients
    摘要在这篇文章中我们通过一种去掉扩散系数的变换证明了随机微分方程强解的存在唯一性。
14. under the most elementary conditions for backward stochastic differential equation introduced by peng s ., we put forward and prove a general converse comparison theorem
    摘要在由彭实戈引入的倒向随机微分方程的最基本的条件下，提出并证明了一个一般的反比较定理。
15. the author uses comparison theorem for stochastic differential equations to explore the limit behavior of one-dimentional discontinuous dynamical system with small random perturbations
    作者利用随机微分方程的比较定理，确定间断动力系统在小随机扰动下的极限分布。
16. the backward stochastic differential equations ( bsdes ) can describe a class of investment decision-making process problems, which leads its numerical method to be focused
    摘要倒向随机微分方程从数学上描述了一类投资决策过程，这使得它的数值解计算成为大家关注的焦点之一。
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