Strong convergence rates of modified truncated EM methods for neutral stochastic differential delay equations

Author:

Lan Guangqiang,Wang Qiushi

Funder

Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference20 articles.

1. Mean square convergence of stochastic θ-methods for nonlinear neutral stochastic differential delay equations;Gan;Int. J. Numer. Anal. Model.,2011

2. Mean square convergence of one-step methods for neutral stochastic differential delay equations;Zhang;Appl. Math. Comput.,2008

3. Convergence and almost sure exponential stability of implicit numerical methods for a class of highly nonlinear neutral stochastic differential equations with constant delay;Milošević;J. Comput. Appl. Math.,2015

4. Strong convergence of the partially truncated Euler–Maruyama method for a class of stochastic differential delay equations;Zhang;J. Comput. Appl. Math.,2018

5. Convergence and stability of two classes of theta methods with variable step size for a stochastic pantograph equations;Eissa;J. Adv. Math. Appl.,2016

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