Artikel bewerten Offers a modern and authoritative treatment of the mathematical processes that underlie performance modeling. This book looks at the fundamentals of probability single server queuing simulation, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers.
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role.
The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics.
The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers.
Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view.
Werner Sandmann. Journal of Simulation 1 2 :
Single server queuing simulation include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. Open and closed queueing networks are analyzed.
Simulation-Based Engineering of Complex Systems
The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available to professors only.
Stewart is professor of computer dating aurich at North Carolina State University. Queue