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In this paper, we design a class of general split-step methods for solving Itô stochastic differential systems, in which the drift or deterministic increment function can be taken
from special ordinary differential equations solver, based on the harmonic-mean. This method is
justified to have a strong convergence order of $\frac{1}{2}$. Further, we investigate mean-square stability
of the proposed method for linear scalar stochastic differential equation. Finally, some examples
are included to demonstrate the validity and efficiency of the introduced scheme.
In this paper, we design a class of general split-step methods for solving Itô stochastic differential systems, in which the drift or deterministic increment function can be taken
from special ordinary differential equations solver, based on the harmonic-mean. This method is
justified to have a strong convergence order of $\frac{1}{2}$. Further, we investigate mean-square stability
of the proposed method for linear scalar stochastic differential equation. Finally, some examples
are included to demonstrate the validity and efficiency of the introduced scheme.