A general form of input-destination distribution matrix increases state space exorbitantly, thus making any buffer at every state statistically different from another. Certain specific forms of input-destination distribution matrix to which many real-life cases may conform, are analyzed. The idea called decomposition is applied here for specific nonhomogeneous flows. State space is not allowed to increase significantly; also the reduction in network size at successive stages is utilized to increase the computational efficiency.< >
Thomas TheimerErwin P. RathgebM. Huber