We consider an analytic iterative method to approximate the solution of the
backward stochastic differential equation of general type. More precisely, we
define a sequence of approximate equations and give sufficient conditions
under which the approximate solutions converge with probability one and in
pth moment sense, p ? 2, to the solution of the initial equation under
Lipschitz condition. The Z-algorithm for this iterative method is introduced
and some examples are presented to illustrate the theory.