The partially truncated Euler–Maruyama (EM) method is proposed in this paper for highly nonlinear stochastic differential equations (SDEs). We will not only establish the finite-time strong Lr-convergence theory for the partially truncated EM method, but also demonstrate the real benefit of the method by showing that the method can preserve the asymptotic stability and boundedness of the underlying SDEs
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
Influenced by Higham, Mao and Stuart [9], several numerical methods have been developed to study the...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
The partially truncated Euler–Maruyama (EM) method was recently proposed in our earlier paper [3] fo...
Recently, Mao [13] developed a new explicit method, called the truncated Euler- Maruyama (EM) method...
Recently, Mao [13] developed a new explicit method, called the truncated Euler- Maruyama (EM) method...
Influenced by Higham et al. (2003), several numerical methods have been developed to study the stron...
Influenced by Higham et al. (2003), several numerical methods have been developed to study the stron...
Positive results are derived concerning the long time dynamics of numerical simulations of stochasti...
Positive results are derived concerning the long time dynamics of numerical simulations of stochasti...
The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stocha...
The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stocha...
The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stocha...
Abstract For stochastic differential equations (SDEs) whose drift and diffusion coefficients can gro...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
Influenced by Higham, Mao and Stuart [9], several numerical methods have been developed to study the...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
The partially truncated Euler–Maruyama (EM) method was recently proposed in our earlier paper [3] fo...
Recently, Mao [13] developed a new explicit method, called the truncated Euler- Maruyama (EM) method...
Recently, Mao [13] developed a new explicit method, called the truncated Euler- Maruyama (EM) method...
Influenced by Higham et al. (2003), several numerical methods have been developed to study the stron...
Influenced by Higham et al. (2003), several numerical methods have been developed to study the stron...
Positive results are derived concerning the long time dynamics of numerical simulations of stochasti...
Positive results are derived concerning the long time dynamics of numerical simulations of stochasti...
The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stocha...
The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stocha...
The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stocha...
Abstract For stochastic differential equations (SDEs) whose drift and diffusion coefficients can gro...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...
Influenced by Higham, Mao and Stuart [9], several numerical methods have been developed to study the...
The numerical solutions of stochastic differential delay equations (SDDEs) under the generalized Kha...