Numerical Approximations of Stochastic Differential Equations with Non-Globally Lipschitz Continuous Coefficients

Many stochastic differential equations (SDEs) in the literature have a superlinearly growing nonlinearity in their drift or diffusion coefficient. Unfortunately, moments of the computationally efficient Euler-Maruyama approximation method diverge ...