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The Art of Computer Programming: Seminumerical Algorithms
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Bibliographic Detail
Publisher Prentice Hall
Publication date November 1, 1997
Pages 762
Binding Hardcover
Edition 3 sub
Book category Adult Non-Fiction
ISBN-13 9780201896848
ISBN-10 0201896842
Dimensions 1.50 by 6.75 by 9.50 in.
Weight 2.80 lbs.
Original list price $79.99
Summaries and Reviews
Amazon.com description: Product Description:

The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.

 

–Byte, September 1995

 

I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up.

 

–Charles Long

 

If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing.

 

–Bill Gates

 

It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers.

 

–Jonathan Laventhol

 

The second volume offers a complete introduction to the field of seminumerical algorithms, with separate chapters on random numbers and arithmetic. The book summarizes the major paradigms and basic theory of such algorithms, thereby providing a comprehensive interface between computer programming and numerical analysis. Particularly noteworthy in this third edition is Knuth's new treatment of random number generators, and his discussion of calculations with formal power series.


Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP),http://msp.org



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Hardcover
Book cover for 9780201896848
 
The price comparison is for this edition
3 sub edition from Prentice Hall (November 1, 1997)
9780201896848 | details & prices | 762 pages | 6.75 × 9.50 × 1.50 in. | 2.80 lbs | List price $79.99
About: The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.

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