Probability, Stochastic Processes, and Queueing Theory : The Mathematics of Computer Performance Modeling

Randolph Nelson

ISBN 10: 1441928464 / ISBN 13: 9781441928467

Edité par Springer New York, 2010

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - We will occasionally footnote a portion of text with a '\*\*, to indicate Notes on the that this portion can be initially bypassed. The reasons for bypassing a Text portion of the text include: the subject is a special topic that will not be referenced later, the material can be skipped on first reading, or the level of mathematics is higher than the rest of the text. In cases where a topic is self-contained, we opt to collect the material into an appendix that can be read by students at their leisure. The material in the text cannot be fully assimilated until one makes it Notes on 'their own' by applying the material to specific problems. Self-discovery Problems is the best teacher and although they are no substitute for an inquiring mind, problems that explore the subject from different viewpoints can often help the student to think about the material in a uniquely per sonal way. With this in mind, we have made problems an integral part of this work and have attempted to make them interesting as well as informative. N° de réf. du vendeur 9781441928467

Détails bibliographiques

Titre : Probability, Stochastic Processes, and ...

Éditeur : Springer New York

Date d'édition : 2010

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

Synopsis :

Probability, Stochastic Processes, and Queueing Theory This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modelling. The author's aim is to derive the theory in a way that combines its formal, intuitive, and applied aspects so that students may apply this indispensable tool in a variety of different settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including the concept of limit, but otherwise this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability inc...