This book gives a systematic treatment of singularly perturbed systems that naturally arise in control and optimization, queueing networks, manufacturing system

Continuous time parameter Markov chains have been useful for modeling various random phenomena occurring in queueing theory, genetics, demography, epidemiology,

Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, a

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operation

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a particular focus on the firs