Verwandte Artikel zu Probability Models for Computer Science

Probability Models for Computer Science - Softcover

Ross, Sheldon M.

 
9780125980517: Probability Models for Computer Science
Softcover
ISBN 10: 0125980515 ISBN 13: 9780125980517
Verlag: Academic Press, 2001

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

The role of probability in computer science is growing and, in lieu of a tailored book, many professionals employ a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer scientists, probability and statistics sage Sheldon Ross has developed the premier probability title for computer scientists involved in computer simulation and modeling.

A clear understanding of the nature of probability modeling is an essential task in developing computer systems and software.

The math is precise and easily understood. As with his other best-selling titles, 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) topics.

A key feature of this book is its many interesting examples and exercises that have been chosen to illuminate the techniques presented. For instance, there are examples relating to bin packing, sorting algorithms, the find algorithm, random graphs, self-organizing list problems, antichains, minimal and maximal cuts in graphs, random permutations, the maximum weighted independent set problem, hashing, probabilistic verification, max SAT problem, queing networks, distributed workload models, and more.

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Verlag
Academic Press
Erscheinungsdatum
2001
Sprache
Englisch
ISBN 10 
0125980515
ISBN 13 
9780125980517
Einband
Taschenbuch
Anzahl der Seiten
304
Kontakt zum Hersteller
Academic Press
https://shop.elsevier.com/

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