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2 Reviews
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5.0 out of 5 stars
great book, use it in Probabilistic methods course,
This review is from: Probability Models for Computer Science (Hardcover)
This is great book for Computer Science students which studies Probabilistic Methods course. The book is selfcontained. Well explained. Has a lot of interesting and complecated examples.
Martingales, using of tail inequalities, many other tehniques covered in this book. I taught according to this book and highly recommendet it.
1 of 2 people found the following review helpful:
3.0 out of 5 stars
Lots of theory; no applications,
By A Customer
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This review is from: Probability Models for Computer Science (Hardcover)
I was very disappointed by this book. While it does an excellent job of presenting and analyzing the THEORY of various kinds of probability models, it says almost nothing about how to apply these models to the problems of computer science. For example queueing theory is incredibly useful in many areas of performance modeling, but Ross doesn't mention any of them. Instead, he presents queueing theory as if it fell from the sky one day -- pristine and beautiful, not to be tarnished by having any actual purpose. The presentation reminds me of the way some "pure" mathematicians take offense when a physicist even hints that their beautiful equations might be used to solve an actual problem. If you're interested in applying this stuff, take a look instead at Trivedi's "Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition." It's a much better book.
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Probability Models for Computer Science by Sheldon M. Ross (Hardcover - June 25, 2001)
$99.95 $66.69
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