Opening book details…
Can I read Probability Models for Computer Science on EtoBox?
Probability Models for Computer Science by Sheldon M. Ross is a mathematics available to read on EtoBox.
What is Probability Models for Computer Science about?
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. 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
Who reads Probability Models for Computer Science?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sheldon M. Ross
- Publisher
- Harcourt Academic Press
- Published
- 2002
- Language
- EN
- ISBN
- 9780125980517
- Category
- mathematics
- Subjects
- Mathematics, Engineering, Computer Science
- Rating
- 4.5 / 5 (5 ratings)
- Updated
- 2026-03-14
Other editions & translations
More by Sheldon M. Ross
Browse all works by Sheldon M. Ross
Similar books
- Probability, Statistics, and Queuing Theory with Computer Science Applications, Second Edition (Computer Science and Scientific Computing) — Arnold O Allen; Harcourt Brace Jovanovich (1990)
- Introduction to Probability Models, 13e — Sheldon M. Ross (2024)
- Probability and Statistics for Computer Science — David Forsyth (2018)
- Probability and Statistics for Computer Scientists — Michael Baron (2006)
- Essential Discrete Mathematics for Computer Science — Harry Lewis & Rachel Zax (2019)
- Probability and Statistics for Computer Science — James L. Johnson (2008)