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[PDF] Top 20 The truncated Euler–Maruyama method for stochastic differential equations

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The truncated Euler–Maruyama method for stochastic differential equations

The truncated Euler–Maruyama method for stochastic differential equations

... tic differential equations (SDEs) under the local Lipschitz ...tamed EulerMaruyama (EM) method, the tamed Milstein method, the stopped EM, the backward EM, the backward forward ... See full document

22

Convergence rates of the truncated Euler-Maruyama method for stochastic differential equations

Convergence rates of the truncated Euler-Maruyama method for stochastic differential equations

... EM method was developed in [14] to approximate SDEs with one-sided Lipschitz drift coefficient and the linear growth diffusion ...This method was further developed in [33] while the tamed Milstein ... See full document

19

Convergence rate and stability of the truncated Euler-Maruyama method for stochastic differential equations

Convergence rate and stability of the truncated Euler-Maruyama method for stochastic differential equations

... explicit method, called the truncated EM ...the method under some additional ...the truncated EM method would be ...the truncated EM method is more widely ... See full document

16

Equivalence of the mean square stability between the partially truncated Euler–Maruyama method and stochastic differential equations with super linear growing coefficients

Equivalence of the mean square stability between the partially truncated Euler–Maruyama method and stochastic differential equations with super linear growing coefficients

... numerical method, then by carefully conducting the numerical sim- ulation one can know whether the SDE is stable or not without using the Lyapunov tech- ... See full document

15

Multi-level Monte Carlo methods with the truncated Euler-Maruyama scheme for stochastic differential equations

Multi-level Monte Carlo methods with the truncated Euler-Maruyama scheme for stochastic differential equations

... The truncated EulerMaruyama method is employed together with the Multi-level Monte Carlo method to approximate expectations of some func- tions of solutions to stochastic ... See full document

12

The truncated Milstein method for stochastic differential equations with commutative noise

The truncated Milstein method for stochastic differential equations with commutative noise

... explicit method called the truncated EulerMaruyama ...new method focuses on those SDEs with both the drift and diffusion coefficients allowed to grow ...the method could be ... See full document

13

The truncated Euler-Maruyama method for stochastic differential delay equations

The truncated Euler-Maruyama method for stochastic differential delay equations

... condition. In 2002, Mao [14] generalized the the well-known Khasminskii test [7] from stochastic differential equations (SDEs) to SDDEs. The Khasminskii-type the- orem established in [14] for SDDEs ... See full document

26

Strong convergence rates for backward Euler–Maruyama method for non-linear dissipative-type stochastic differential equations with super-linear diffusion coefficients

Strong convergence rates for backward Euler–Maruyama method for non-linear dissipative-type stochastic differential equations with super-linear diffusion coefficients

... At this point, it is worth mentioning how our work compares with that of Higham et al. [18]. Theorem 3.3 in their paper is a very important contribution to the numerical SDE theory. The authors proved strong convergence ... See full document

21

Stability of Exponential Euler Method for Linear Stochastic Delay Differential Equations

Stability of Exponential Euler Method for Linear Stochastic Delay Differential Equations

... of stochastic differential delay equations under the generalized Khasminskii-type conditions, Applied Mathematics and Computation, 217(2011), ...of Euler method for impulsive ... See full document

6

Almost sure and moment exponential stability of Euler-Maruyama discretizations for hybrid stochastic differential equations

Almost sure and moment exponential stability of Euler-Maruyama discretizations for hybrid stochastic differential equations

... for stochastic differential equations (SDEs) has recently received a more and more ...ordinary differential equations (ODEs) is motivated by the question “for what choices of stepsize ... See full document

21

Almost sure exponential stability of backward Euler–Maruyama discretizations for hybrid stochastic differential equations

Almost sure exponential stability of backward Euler–Maruyama discretizations for hybrid stochastic differential equations

... Let us now return to the SDE (3.1). In Section 3 we have shown that the EM method cannot reproduce the almost sure exponential stability of the SDE. However, our the- ory established in the previous sections shows ... See full document

23

Convergence and stability of the exponential Euler method for semi linear stochastic delay differential equations

Convergence and stability of the exponential Euler method for semi linear stochastic delay differential equations

... exponential Euler method to semi-linear stochastic delay differential equations ...exponential Euler approximation solution converges to the analytic solution with the strong ... See full document

19

Stability of numerical method for semi linear stochastic pantograph differential equations

Stability of numerical method for semi linear stochastic pantograph differential equations

... of stochastic delay differential equations, stochastic pantograph differential equations have been widely used in nonlinear dynamics, quantum mechanics, and ...semi-linear stochastic ... See full document

11

Stability of two classes of improved backward Euler methods for stochastic delay differential equations of neutral type

Stability of two classes of improved backward Euler methods for stochastic delay differential equations of neutral type

... SSBE method can reproduce the exponential mean-square stability of the exact solution with some restriction on stepsize ∆, but the SIE method can reproduce the exponential mean-square stability ... See full document

13

An improved Milstein method for stiff stochastic differential equations

An improved Milstein method for stiff stochastic differential equations

... Milstein method and no nonlinear algebra problems are encountered during ...IM method is, to a certain extent, improved even for the non-stiff prob- lem (see Table  in Section ), despite the fact that the ... See full document

16

Stochastic Runge-Kutta method for stochastic delay differential equations

Stochastic Runge-Kutta method for stochastic delay differential equations

... this method in approximating the solution of ...of stochastic Taylor expansions, up to ...the EulerMaruyama and Milstein schemes had been proposed to apply them in practice or to study their ... See full document

30

Convergence and stability of implicit compensated Euler method for stochastic differential equations with Poisson random measure

Convergence and stability of implicit compensated Euler method for stochastic differential equations with Poisson random measure

... compensated Euler method shares exponential mean-square stability for any step size t with SDEs with Poisson random measure; that is, the method can preserve exponential mean-square stability without ... See full document

17

Asymptotic moment boundedness of the stochastic theta method and its application for stochastic differential equations

Asymptotic moment boundedness of the stochastic theta method and its application for stochastic differential equations

... the stochastic theta method ...the method, the STM is regarded a generalisation of the Euler-Maruyama (EM) method and the backward Euler-Maruyama (BEM) ... See full document

14

Asymptotic boundedness and stability of solutions to hybrid stochastic differential equations with jumps and the Euler-Maruyama approximation

Asymptotic boundedness and stability of solutions to hybrid stochastic differential equations with jumps and the Euler-Maruyama approximation

... 12 4 5 6 7 8 9 10 13 14 15 16 17 Convergence analysis of the EM approximate solutions In this section, we will study the convergence of the EM approximate solutions for hybrid SDEs with [r] ... See full document

33

Exponential stability of the Euler-Maruyama method for neutral stochastic functional differential equations with jumps

Exponential stability of the Euler-Maruyama method for neutral stochastic functional differential equations with jumps

... neutral stochastic func- tional differential equations (NSFDEs) with jumps is ...the Euler-Maruyama method can reproduce the corresponding exponential stability of the trivial ... See full document

16

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