Number Theory for Computing | 
 enlarge | Author: Song Y. Yan
Creator: M.e. Hellmann
Publisher: Springer
Category: Book
List Price: $69.95
Buy New: $14.34
You Save: $55.61 (79%)
New (16) Used (8) from $12.91
Rating:  1 reviews
Sales Rank: 398380
Media: Hardcover
Edition: 2nd
Pages: 445
Number Of Items: 1
Shipping Weight (lbs): 1.7
Dimensions (in): 9.5 x 6.4 x 0.9
ISBN: 3540430725
Dewey Decimal Number: 512.7
EAN: 9783540430728
Publication Date: June 10, 2002
Availability: Usually ships in 1-2 business days
Condition: BRAND NEW -Hard back as Issue - Never READ or OPEN- 2nd Edition - Mailed in Bubble Malier W/USP Confirmation
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Product Description
There are many surprising connections between the theory of numbers, which is one of the oldest branches of mathematics, and computing and information theory. Number theory has important applications in computer organization and security, coding and cryptography, random number generation, hash functions, and graphics. Conversely, number theorists use computers in factoring large integers, determining primes, testing conjectures, and solving other problems. This book takes the reader from elementary number theory, via algorithmic number theory, to applied number theory in computer science. It introduces basic concepts, results, and methods, and discusses their applications in the design of hardware and software, cryptography, and security. It is aimed at undergraduates in computing and information technology, but will also be valuable to mathematics students interested in applications. In this 2nd edition full proofs of many theorems are added and some corrections are made.
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| Customer Reviews:
A gifted writer opens many doors for the student September 1, 2000
David L. Stern (Hillsboro, OR USA)
20 out of 23 found this review helpful
I just picked this monograph up at the Crypto-2000 conference at UCSB. It is an unassuming, straight forward walk through the elements of computational number theory. The author claims all that is required is high school math; however, once cracking the book open the reader finds that the material is more directed at the advanced undergraduate, or even the graduate math student, computer scientist, or to he/she who wants a singular experience in good mathematics. For example, there are side bars that touch on some of the very brightest of the number theory elite; providing much needed insight as to their motivations and pursuits of attack. Many a complicated concept is rendered harmless and fashioned readily available for the learned reader. It is the kind of book that you can not put down. I passed it around to a few of my colleaques; the book quickly became a pleasent read for them followed up by a request to forward the ISBN number to their email accounts. The author knows the crafts of both writing well and displaying the beauty of number theory. Lastly, the technical content is not watered down, the author maintains academic discipline while making anecdotal information available via side-bars. Otherwise, the inspired reader would have to track down a text on the history of mathematics to sort out the 'story' behind the insights. Instead it is "all" there for you to consider or mark for a later read.
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