Abstract
In this paper, some variants of stochastic solvers free from derivatives for It\(\hat{\text {o}}\) stochastic ordinary differential equations (SODEs) are given. The derived strong variants are convergent and explicit. Then, some implicit solvers are also proposed. Numerical results are reported for confirming convergence properties and for comparing the behavior of these methods for pathwise approximation of SODEs.
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