1. Home
  2. Books & Journals
  3. Mathematics
  4. Statistics and Probability
  5. Probability Theory and Stochastic Processes
  6. Probability Models for Computer Science
Probability Models for Computer Science - 1st Edition - ISBN: 9780125980517, 9780080514888

Probability Models for Computer Science

1st Edition

Authors: Sheldon Ross
Hardcover ISBN: 9780125980517
eBook ISBN: 9780080514888
Imprint: Academic Press
Published Date: 12th July 2001
Page Count: 304
Tax/VAT will be calculated at check-out
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
In Stock
In Stock
In Stock
Sorry, this product is currently out of stock.
Sorry, we aren’t shipping this product to your region at this time.
113.64
85.23
85.23
85.23
85.23
85.23
90.91
90.91
75.95
56.96
56.96
56.96
56.96
56.96
60.76
60.76
64.99
48.74
48.74
48.74
48.74
48.74
51.99
51.99
10800.00
8100.00
8100.00
8100.00
8100.00
8100.00
8640.00
8640.00
106.00
79.50
79.50
79.50
79.50
79.50
84.80
84.80
Unavailable

Institutional Access

Support Center

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description

The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate student (and the advanced undergraduate), best-selling author Sheldon Ross has developed the premier probability text for aspiring computer scientists involved in computer simulation and modeling. The math is precise and easily understood. As with his other texts, Sheldon Ross presents very clear explanations of concepts and covers those probability models that are most in demand by, and applicable to, computer science and related majors and practitioners.

Key Features

Many interesting examples and exercises have been chosen to illuminate the techniques presented

Examples relating to bin packing, sorting algorithms, the find algorithm, random graphs, self-organising list problems, the maximum weighted independent set problem, hashing, probabilistic verification, max SAT problem, queuing networks, distributed workload models, and many othersMany interesting examples and exercises have been chosen to illuminate the techniques presented

Readership

Computer professionals and software programmers.

Table of Contents

Review of Probability Some Examples Poisson and Compound Poisson Variables, Approximations and Processes Markov Chains Queuing Random Algorithms and the Probabilistic Method Martingales Simulation

Details

No. of pages:
304
Language:
English
Copyright:
© Academic Press 2002
Published:
Imprint:
Academic Press
Hardcover ISBN:
9780125980517
eBook ISBN:
9780080514888

About the Author

Sheldon Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

University of Southern California, Los Angeles, USA

Request Quote

Tax Exemption

We cannot process tax exempt orders online. If you wish to place a tax exempt order please contact us.