In this paper we study different algorithms for backward
stochastic differential equations (BSDE in short) basing on random
walk framework for 1-dimensional Brownian motion. Implicit and
explicit schemes for both BSDE and reflected BSDE are introduced.
Then we prove the convergence of different algorithms and present
simulation results for different types of BSDEs.