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Probability Models for Computer Science
 
 

Probability Models for Computer Science, 1st Edition

 
Probability Models for Computer Science, 1st Edition,Sheldon Ross,ISBN9780125980517
 
 
 

  

Academic Press

9780125980517

304

229 X 152

Print Book

Hardcover

In Stock

Estimated Delivery Time
USD 106.00
 
 

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

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.

Readership

Computer professionals and software programmers.

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

View additional works by Sheldon M. Ross

Probability Models for Computer Science, 1st Edition

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