Probability Models for Computer Science Book + PRICE WATCH * Amazon pricing is not included in price watch

Probability Models for Computer Science Book

Offers explanations of the concepts of probability models applicable to computer science and related majors and practitioners. This book includes examples and...Read More

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  • Product 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.

    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

  • 0125980515
  • 9780125980517
  • Sheldon M. Ross
  • 12 July 2001
  • Academic Press
  • Hardcover (Book)
  • 304
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