  The strong convergence of Euler approximations of stochastic delay
differential equations is proved under general conditions. The assumptions on
drift and diffusion coefficients have been relaxed to include polynomial growth
and only continuity in the arguments corresponding to delays. Furthermore, the
rate of convergence is obtained under one-sided and polynomial Lipschitz
conditions. Finally, our findings are demonstrated with the help of numerical
simulations.

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