Based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems, this book is designed to provide students with a grounding in probability and stochastic processes, demonstrate their applicability to real-world probl[...]
Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. Covering a range of areas of application of Markov processes, this edition highlights the important aspects as well as the most recent trends and applications of M[...]
An exploration of the cutting-edge advancements in the field of voice and data convergence
Numerous attempts have been made in the past to integrate voice and data onto one network. The differing characteristics of voice and data have placed conflicting demands on the individual networks-- voic[...]
This book uniquely combines queuing networks with Bayesian, Boolean, and random networks and provides an interdisciplinary approach by including applications in biology, communications, mathematics, engineering, and operations management. Combining techniques from stochastic processes and graph theo[...]
Featuring an introduction to stochastic calculus, this book uniquely blends diffusion equations and random walk theory and provides an interdisciplinary approach by including numerous practical examples and exercises with real-world applications in operations research, economics, engineering, and ph[...]