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Probability Models for Computer Science - Sheldon M. Ross

Probability Models for Computer Science

Sheldon M. Ross (Autor)

Media-Kombination
304 Seiten
2001
Academic Press Inc
978-0-12-598051-7 (ISBN)
CHF 119,40 inkl. MwSt
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Offers explanations of the concepts of probability models applicable to computer science and related majors and practitioners. This book includes examples and exercises, along with the techniques presented, related to bin packing, sorting algorithms, find algorithm, random graphs, self-organising list problems, probabilistic verification and more.
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.

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

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

Erscheint lt. Verlag 12.7.2001
Verlagsort San Diego
Sprache englisch
Maße 152 x 229 mm
Gewicht 540 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-12-598051-5 / 0125980515
ISBN-13 978-0-12-598051-7 / 9780125980517
Zustand Neuware
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