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Children will connect with Paul forging his parents name on the permission slip for baseball. What child has not forged a signature, or thought about it, and then was caught? This experience by Paul is universal.
Childhood love of activity, also gives universal appeal, through Paul's love of baseball. Many young boys, and some girls, can name their favorite player's statistics. Paul, the main character, is the same. This book is a wonderful story to share. I would use this in a middle school English classroom.
This is my first time reading this book. Hang Tough Paul Mather is a book about a boy named Paul Mather who loves baseball but he has a disease that causes his parents not to let him play. Unless his doctor say it's OK, he can't play. But he plays anyway without doctor's permission. I would recommend it to any one(except a baby). It's a Great book.
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to neglect this book.
We used this in a course, and even though it's a handbook, it doubles up
pretty well as a textbook, since it has all the underlying mathematical
theory, presented in a clear and concise manner.
For sheer breadth and depth of coverage, this book is unmatched in the
field. It may not have enough on some topics to satisfy everyone, but
then i suspect most such topics were not so prominent in 1996, which
is when the book was written.
Starting with number theory, it goes on cover pseudorandom bits and
sequences, stream and block ciphers, hash functions, and digital signatures,
establishment protocols, implementation, patents and standards - you name
it, you got it.
On the one hand, there's enough theory to make you wonder whether it
should be called 'applied', but then it indeed qualifies as implementations
are discussed as well.
And of course, there's an exhaustive bibliography, with more pointers to
the literature than one could possibly follow up.
One word of caution, though : it requires hard work. If you want a more
'relaxed' coverage of comparable breadth (but not depth), you can do
worse than look up Bruce Schneier's 'Applied Crypography', which is a
delightful read, but nowhere as rigorous (read academic) as this one.
All in all, this is an indispensable reference for those in the field -
rigorous and exhaustive, yet eminently readable.
If you still haven't made your mind up, here's one final piece of advice :
visit the authors'(rather the book's) website, where you'll get the
implementations of all the algorithms in the book, and a (presumably)
pleasant surprise :-)
The second chapter provides a concise review of probability theory, information theory, complexity theory, and number theory. This chapter would be helpful to anyone in computer science who already has some discrete math background. For readers with no discrete math background I would recommend first reading "Discrete Mathematics and Its Applications" by Kenneth Rosen, the editor of the series this book belongs to.
The coverage of number-theoretic problems in chapter 3 is very easy to follow and provides a handy reference to the average case performance of the best known algorithms for each.
The next few chapters are very math-intensive and outline the most common encryption algorithms and standards with examples. The chapter on block ciphers includes a section on classical ciphers and cryptanalysis which, as a sidenote, might be of interest to students of linguistics.
The later chapters present protocols for authentication, digital signing, and key management which build on the algorithms of the previous chapters, but can be understood independently.
One of the final chapters presents methods of effecient computation which again would be useful to anyone in computer science, not just those who are interested in cryptography.
Overall, the development of the topics in the book is complete (although by no means rigorous) and concise, including examples only where necessary. I highly recommend this book to students who want to learn more about cryptography, anyone whose job requires some knowledge of standards for authentication, digital signing, etc., such as internet security, and any computer scientist who has an academic interest in algorithms and their applications.
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