例句與造句

1. study on a stochastic differential equation
   一個(gè)隨機(jī)微分方程的研究
2. a note on the solution of backward stochastic differential equation
   關(guān)于倒向隨機(jī)微分方程解的一點(diǎn)注記
3. stochastic differential equations; comparison theorem; weak convergence
   隨機(jī)微分方程比較定理弱收斂
4. two optimal models associated with stochastic differential equations
   與隨機(jī)微分方程聯(lián)系的兩個(gè)優(yōu)化模型
5. coupled forward-backward stochastic differential equations with random jumps
   帶跳的耦合正倒向隨機(jī)微分方程
6. It's difficult to find stochastic differential equations in a sentence. 用stochastic differential equations造句挺難的
7. exponential stability of stochastic differential equation with time-varying delay
   變時(shí)滯隨機(jī)微分方程的指數(shù)穩(wěn)定性
8. fully-coupled forward-backward stochastic differential equations under local lipschitz condition
   條件下的正倒向隨機(jī)微分方程
9. an almost surely continuous property on solutions of backward stochastic differential equation
   幾乎處處意義下倒向隨機(jī)微分方程解對(duì)終值的連續(xù)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隨機(jī)微分方程式為主。
11. continuous dependence of the solution of multi-dimensional reflected backward stochastic differential equations on the parameters
    多維反射倒向隨機(jī)微分方程的解對(duì)參數(shù)的連續(xù)依賴性
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
    摘要本文我們用逐次逼近的方法研究雙參數(shù)帶跳隨機(jī)微分方程解的存在性和軌道唯一性。
13. in this paper, we prove existence and uniqueness of strong solutions for stochastic differential equations by a transformation of killing their diffusion coefficients
    摘要在這篇文章中我們通過(guò)一種去掉擴(kuò)散系數(shù)的變換證明了隨機(jī)微分方程強(qiáng)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
    摘要在由彭實(shí)戈引入的倒向隨機(jī)微分方程的最基本的條件下，提出并證明了一個(gè)一般的反比較定理。
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
    作者利用隨機(jī)微分方程的比較定理，確定間斷動(dòng)力系統(tǒng)在小隨機(jī)擾動(dòng)下的極限分布。
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
    摘要倒向隨機(jī)微分方程從數(shù)學(xué)上描述了一類投資決策過(guò)程，這使得它的數(shù)值解計(jì)算成為大家關(guān)注的焦點(diǎn)之一。
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