Our purpose in this paper is to extend p-cyclic SOR theory to consiste
nt singular systems and to apply the results to the solution of large
scale systems arising, e.g., in queueing network problems in Markov an
alysis. Markov chains and queueing models lead to structured singular
linear systems and are playing an increasing role in the understanding
of complex phenomena arising in computer, communication and transport
ation systems. For certain important classes of singular problems, we
develop a convergence theory for p-cyclic SOR, and show how to reparti
tion for optimal convergence. Results by Kontovasilis, Plemmons and St
ewart on the concept of convergence of SOR in an extended sense are ri
gorously analyzed and applied to the solution of periodic Markov chain
s with period p = 2.