Strong approximations for stochastic differential equations with boundary conditions

We study the Euler approximation scheme for solutions of stochastic differential equations with boundary conditions in two different examples: (a) the one-dimensional case with linear boundary condition, and (b) the multidimensional case with constant diffusion coefficient and general boundary condition. In both cases the error is measured in the Lp-norm.