VERY GOOD: This OUT OF PRINT book is in very good condition, showing only slight signs of use and wear.
Product Details
Continued from the back cover: "The author's earlier book,Stochastic Modelling and Analysis: A Computational Approach (1986) has become a leading text in the fields of applied probability and stochastic optimization. While this new book retains the features of providing theory, realistic examples and practically useful algorithms it is written with a wider readership in mind and is more student-oriented.
"Covering renewal and regenerative processes, discrete-time and continuous-time Markov chains, Markovian decision processes, inventory and queueing theory the book will enable students to perform algorithmic analysis for specified problems. Chosen to illustrate the basic models and their associated solution methods, the examples are drawn from a variety of applications fields, such as inventory control, reliability, maintenance, insurance and teletraffic. Each chapter concludes with a range of interesting and thought-provoking exercises, some of which require the use of computer software.
"The accessible yet rigorous exposition ensures that the book will be an invaluable resource for senior undergraduate and graduate students of operations research, statistics, and engineering."
Chapters
Renewal Processes with Applications
Markov Chains: Theory and Applications
Markovian Decision Processes and Their Applications
