  A version of the fundamental mean-square convergence theorem is proved for
stochastic differential equations (SDE) which coefficients are allowed to grow
polynomially at infinity and which satisfy a one-sided Lipschitz condition. The
theorem is illustrated on a number of particular numerical methods, including a
special balanced scheme and fully implicit methods. Some numerical tests are
presented.
