Matrix-analytic Methods in Stochastic Models (Springer Proceedings in Mathematics & Statistics)

Discovers underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a variety of fields.