This work considers Kronecker-based models with finite as well as
countably infinite state spaces for multidimensional Markovian systems
by paying particular attention to those whose reachable state spaces are
smaller than their product state spaces. Numerical methods for
steady-state and transient analysis of Kronecker-based multidimensional
Markovian models are discussed in detail together with implementation
issues. Case studies are provided to explain concepts and motivate use
of methods.
Having grown out of research from the past twenty years, this book
expands upon the author's previously published book Analyzing Markov
Chains using Kronecker Products (Springer, 2012). The subject matter is
interdisciplinary and at the intersection of applied mathematics and
computer science. The book will be of use to researchers and graduate
students with an understanding of basic linear algebra, probability, and
discrete mathematics.