随机微分方程
- 网络Stochastic differential equation;SDE;SDES
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虽然Ito-Volterra型的随机微分方程与Ito型随机微分方程在许多地方不同,但在方程系数是无穷次可微的条件和其它一些条件下,我们得到同样的结果。
Although Ito-Volterra SDE is different from It o SDE in many aspects , the . same result can be also obtained if its coefficients are infinitely differentiable and satisfy some other conditions .
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随机微分方程比较定理建立了顺向的占优理论。
Compare Theorem of SDE establishes pathwise almost surely dominance .
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用摄动法解n阶线性随机微分方程
The solution of Nth-order linear stochastic differential equations By perturbation method
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倒向随机微分方程中生成元g的经济含义
The Economic Meanings of Generators in Backward Stochastic Differential Equations
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倒向重随机微分方程是由E。
Backward doubly stochastic differential equation was introduced first by E.
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提出一种基于随机微分方程的通用P2P文件分发模型。
A general stochastic equation-based model for P2P file distribution is presented .
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带Markov跳的中立型随机微分方程的指数稳定性
Exponential stability of neutral stochastic differential equations with Markov switches
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带跳的非线性随机微分方程的Lyapunov指数的估计
Approximation of Lyapunov Exponents of Nonlinear Stochastic Systems with Jumps
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关于Hilbert空间上随机微分方程的稳定性问题
On the stability problem of stochastic differential equation on Hilbert space
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建立了Markov调制奇异随机微分方程的p阶指数稳定性和几乎必然指数稳定性的充要条件。
The conditions of p-moment exponential stability and almost surely exponential stability for singularly stochastic differential equations with Markov switching are derived .
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离散倒向随机微分方程的改进Euler算法
The Discrete Backward Stochastic Differential Equations with Improved Euler Method
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线性随机微分方程的全隐式Euler方法
Full Implicit Euler Methods for Linear Stochastic Differential Equation
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在[4]中,Chen给出并证明了带停时的倒向随机微分方程解的存在唯一性定理。
Chen also proved the existence and uniqueness theorem for BSDEs with stopping time in [ 4 ] .
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两参数Ito型随机微分方程解的收敛定理
The Convergence Theorem of the Solutions for Two-Parameter Ito Type Stochastic Differential Equations
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基于Ito随机微分方程的客户群变动模型分析
Modeling Customer Group Alteration Based on Stochastic Differential Equation
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带Poisson跳随机微分方程终值与边值问题的适应解
Adapted Solutions of Stochastic Differential Equations for Terminal and Boundary Value Problems with Poisson Jumps
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平面上Volterra型随机微分方程的弱解
The weak solution of Volterra stochastic differential equation in the plane
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随机微分方程Euler法的均方稳定性和指数稳定性
Mean Square Stability and Exponential Stability of Euler Scheme for Solving Stochastic Differential Equations
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倒向随机微分方程和Monte-Carlo方法在期权和期货上的应用
Application on Options and Futures for Backward Stochastic Differential Equations and Monte-Carlo Methods
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一类两参数POISSON型随机微分方程解存在唯一性
Existence and uniqueness of the solution to a class of two-parameter Poisson type stochastic different equation
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一类Volterra型随机微分方程解的指数p-稳定性
P-th moment exponential stability of some Volterra stochastic differential equations
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线性随机微分方程与其ARMA形式的采样模型
Stochastic differential equation and its sampled model in the form of ARMA
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局部Lipschitz条件下倒退随机微分方程的适应解
Adapted Solutions of Backward Stochastic Differential Equations under Local Lipschitz Conditions
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随机微分方程的Runge-Kutta数值解法
Runge-Kutta methods for numerical solutions of stochastic ordinary differential equations
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一种基于随机微分方程的CAC方案
CAC Scheme Based on Stochastic Differential Equation in Cellular Networks
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非Lipschitz条件的倒向随机微分方程和g-期望
Non - Lipschitz Backward Stochastic Differential Equations and g-Expectations
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半鞅非Lipschitz系数随机微分方程解的大偏差
Large Deviations for Solutions to Stochastic Differential Equations Driven by Semimartingale with Non-Lipschitz Coefficients
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本文介绍了随机微分方程理论解的随机渐进稳定性和均方(MS)稳定性,同时介绍了数值解的MS-稳定性和T-稳定性。
Stochastic asymptotical stability and that in mean-square sense ( MS-stability ) of the theoretical solution is introduced in the paper , as well as MS-stability and T-stability .
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基于Hamilton系统理论,结合伊藤随机微分方程理论,研究了系统首次穿越问题。
The first-passage time problem of the system is studied by using theories of Hamilton system and Ito stochastic differential .
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一类随机微分方程的Legendre多项式谱逼近分析
Numerical Approximation for One Type of Stochastic Differential Equations Based on the Legendre Polynomials