  In this paper, we study discrete approximation of reflected Brownian motions
on domains in Euclidean space. Our approximation is given by a sequence of
Markov chains on partitions of the domain, where we allow uneven or random
partitions. We provide sufficient conditions for the weak convergence of the
Markov chains.
