Stochastic Models In Operations Research, Vol. I: Stochastic Processes And Operating Characteristics (Dover Books On Computer Science)
SKU: SONG0486432599
ISBN : 0800759432592
Condition : Used
Shipping & Tax will be calculated at Checkout.
US Delivery Time: 3-5 Business Days.
Outside US Delivery Time: 8-12 Business Days.
Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics (Dover Books on Computer Science)
The first of a two-volume set begins with discussions of stochastic processes, including posterity analysis, birth-and-death processes, renewal theory, renewal-reward and regenerative processes, Markov chains, continuous-time Markov chains, Markov processes, and stationery processes and ergodic theory. Its coverage of operating characteristics of stochastic systems examines system properties, networks of queues, and bounds and approximations.This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization.Comprehensive in its scope, this work emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models. It is intended primarily as a graduate-level text for studies in operations research, management science, computer science, and all branches of engineering, applied mathematics, statistics, and economics.
Specification of Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics (Dover Books on Computer Science)
GENERAL | |
---|---|
Author | Heyman, Daniel P. |
Binding | paperback |
Language | english |
ISBN-10 | 0486432599 |
ISBN-13 | 0800759432592 |
Publication Year | 2003-12-10T00:00:01Z |
Write a review
Your Name:
Your Email:
Your Review:
Note: HTML is not translated!
Rating: Bad Good
Enter the code in the box below: