Synopses & Reviews
An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic models can be for gaining insight into the behavior of complex stochastic systems. Shows students how to obtain numerical solutions to specific situations. Includes a wide variety of realistic examples carefully chosen to illustrate the basic models and associated solution techniques.
Table of Contents
Renewal Processes with Applications.
Markov Chains: Theory and Applications.
Markovian Decision Processes and Their Applications.
Algorithmic Analysis of Queueing Models.
Appendices.
References.
Index.