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Probability Theory, Mathematical Programming & Operations Research, Research & Development - Operations Research
Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics by Daniel P. Heyman β€” book cover

Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics

by Daniel P. Heyman, Matthew J. Sobel
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Overview

This volume of a 2-volume set explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. Explores stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, this graduate-level text emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models.

Synopsis

Writing for graduate students dealing with stochastic processes in a range of fields (such as operations research, management science, engineering, computer science, applied mathematics, and economics), the authors describe the operating characteristics of stochastic systems, including queuing systems. The first of two volumes, with the second devoted to stochastic optimization, presents generic models derived from renewal theory and the concept of regeneration epochs. Other topics include Markov chains, Brownian motion, and stationary processes. Calculus, elementary matrix algebra, and introductory probability theory are considered by the authors to be prerequisites for understanding. This is a paperbound edition of a work first published in 1982. Annotation ©2004 Book News, Inc., Portland, OR

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Book Details

Published
December 1, 2003
Publisher
Dover Publications
Pages
560
Format
Paperback
ISBN
9780486432595

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