Mean-Square Convergence of Two-Step Milstein Methods for Nonlinear Stochastic Delay Differential Equations

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Abstract

In this paper, a numerical method for solving nonlinear stochastic delay differential equations is proposed: two-step Milstein method. The mean square consistent and mean-square convergence of the numerical method are studied. Through the relevant derivation, the conditions that the coefficients need to be satisfied when the numerical method is mean-square consistent and mean-square convergent are obtained, and it is proved that the mean-square convergence order of the numerical method is 1. Finally, the theoretical results are verified by numerical experiments.

Author Biographies

  • Lijuan Peng

    Hunan Key Laboratory for Computation and Simulation in Science and Engineering, School of Mathematical and Computational Sciences, Xiangtan University, Xiangtan 411105, China

  • Lihang Zhou

    Hunan Key Laboratory for Computation and Simulation in Science and Engineering, School of Mathematical and Computational Sciences, Xiangtan University, Xiangtan 411105, China

  • Wenqiang Wang

    Hunan Key Laboratory for Computation and Simulation in Science and Engineering, School of Mathematical and Computational Sciences, Xiangtan University, Xiangtan 411105, China

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DOI

10.4208/jcm.2509-m2025-0023

How to Cite

Mean-Square Convergence of Two-Step Milstein Methods for Nonlinear Stochastic Delay Differential Equations. (2026). Journal of Computational Mathematics, 44(2), 578-592. https://doi.org/10.4208/jcm.2509-m2025-0023