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[PDF] Top 20 Convergence rates of the truncated Euler-Maruyama method for stochastic differential equations

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

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

... strong convergence question for numerical approximations under the local Lipschitz ...of convergence, say weak convergence, convergence in probability and pathwise convergence, are ... See full document

19

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

... simulations. Convergence and stability of these methods are well understood for SDEs with Lipschitz continuous coefficients: see [26] for ...strong convergence and stability questions for numerical ... See full document

21

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

... Actually, many interesting works have been devoted to (A), i.e., given the SDE is stable under certain conditions, some numerical method can reproduce such a stability. We just mention some of the works here [2, ... See full document

15

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

... be arbitrarily close to q / 2 under some additional conditions. However, there are some restrictions on the truncation functions and these restrictions sometimes might force the step size to be so small that the ... See full document

16

The truncated Euler–Maruyama method for stochastic differential equations

The truncated Euler–Maruyama method for stochastic differential equations

... EM method has its simple algebraic structure, cheap com- putational cost and acceptable convergence rate under the global Lipschitz condition, it has been attracting lots of attention ...EM method ... See full document

22

The truncated Milstein method for stochastic differential equations with commutative noise

The truncated Milstein method for stochastic differential equations with commutative noise

... the truncated EulerMaruyama method developed in Mao (2015), we propose the truncated Milstein method in this ...strong convergence rate is proved to be close to 1 for a ... See full document

13

The Euler scheme for stochastic differential equations with discontinuous drift coefficient: a numerical study of the convergence rate

The Euler scheme for stochastic differential equations with discontinuous drift coefficient: a numerical study of the convergence rate

... the Euler scheme, by analyzing the numerical convergence rates based on a reference ...of convergence heavily depends on the initial value and properties of the drift coefficient, ...numerical ... See full document

21

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 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

Numerical stationary distribution and its convergence for nonlinear stochastic differential equations

Numerical stationary distribution and its convergence for nonlinear stochastic differential equations

... In [31], the authors provided the following three assumptions and proved that under those assumptions the EulerMaruyama solution of the stochastic dif- ferential equation has a unique stationary ... See full document

28

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

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

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

... In finance and economics, in order to obtain the dynamics observed, it is important to model the impact of event-driven uncertainty. Events such as corporate defaults, opera- tional failures, market crashes or central ... See full document

17

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

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

... In this subsection, under the same conditions as those in Theorem ., we will obtain the exponential stability in mean square of the exponential Euler method (.) to SLSDDEs (.) in Theorem .. It is ... See full document

19

Numerical solution of stochastic state dependent delay differential equations: convergence and stability

Numerical solution of stochastic state dependent delay differential equations: convergence and stability

... for stochastic volatility involving state-dependent delayed response and applied the EulerMaruyama discrete-time approximation in the strong convergence sense to simu- ...of stochastic ... See full document

34

Convergence and stability of the compensated split step θ method for stochastic differential equations with jumps

Convergence and stability of the compensated split step θ method for stochastic differential equations with jumps

... Recently, stochastic differential equations with jumps (SDEwJs) are becoming increas- ingly used to model real-world phenomena in different fields, such as economics, finance, biology, and ...the ... See full document

19

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

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), ...Ding, Convergence and stability of Euler ... See full document

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