Item description for Number Theory for Computing by M.E. Hellmann Song Y. Yan...
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.
Promise Angels is dedicated to bringing you great books at great prices. Whether you read for entertainment, to learn, or for literacy - you will find what you want at promiseangels.com!
Est. Packaging Dimensions: Length: 9.45" Width: 6.38" Height: 0.87" Weight: 1.68 lbs.
Release Date Jun 10, 2002
ISBN 3540430725 ISBN13 9783540430728
Availability 71 units. Availability accurate as of Mar 23, 2017 02:29.
Usually ships within one to two business days from La Vergne, TN.
Orders shipping to an address other than a confirmed Credit Card / Paypal Billing address may incur and additional processing delay.
Reviews - What do customers think about Number Theory for Computing?
A gifted writer opens many doors for the student Sep 1, 2000
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.