Balanced-Euler approximation schemes for stiff systems of stochastic differential equations

This paper aims to design new families of balanced-Euler approximation schemes for the solutions stiff stochastic differential systems. To prove mean-square convergence, we use some fundamental inequalities such as global Lipschitz condition and linear growth bound. The meansquare stability properties our are analyzed. Also, numerical examples illustrate accuracy efficiency proposed schemes.