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The Art of Computer Programming: Seminumerical Algorithms v. 2
 
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The Art of Computer Programming: Seminumerical Algorithms v. 2 (Hardcover)

by Donald E. Knuth (Author)
5.0 out of 5 stars See all reviews (2 customer reviews)
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The Art of Computer Programming: Seminumerical Algorithms v. 2 + The Art of Computer Programming: Fundamental Algorithms v. 1
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Product details

  • Hardcover: 784 pages
  • Publisher: Addison Wesley; 3 edition (12 Jan 1998)
  • Language English
  • ISBN-10: 0201896842
  • ISBN-13: 978-0201896848
  • Product Dimensions: 23.8 x 17 x 4.2 cm
  • Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 190,019 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Book Description
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.

From the Back Cover

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.





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What Do Customers Ultimately Buy After Viewing This Item?

The Art of Computer Programming: Seminumerical Algorithms v. 2
51% buy the item featured on this page:
The Art of Computer Programming: Seminumerical Algorithms v. 2 5.0 out of 5 stars (2)
£39.94
The Art of Computer Programming: v. 1-3: Vol 1-3 (Series in Computer Science & Information Processing)
49% buy
The Art of Computer Programming: v. 1-3: Vol 1-3 (Series in Computer Science & Information Processing) 4.3 out of 5 stars (10)
£87.54

 

Customer Reviews

2 Reviews
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Average Customer Review
5.0 out of 5 stars (2 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
3 of 3 people found the following review helpful:
5.0 out of 5 stars Fascinating, 5 Mar 1998
By A Customer
Of course this is a classic programming text, but the book is fascinating from a mathematical point as well. The discussion of random number generation is worth the price alone. Also neat is the discussion of why numbers with lower initial digits are 'more common' in practice than those with higher initial digits, a topic I've never seen treated elsewhere.
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2 of 2 people found the following review helpful:
5.0 out of 5 stars State of the art reference for computer scientists, 7 Oct 1997
By A Customer
This book offers a stringent treatment of random number generators and algorithms not found anywhere else. It is particularly valuable for those that deal with encryption and the analysis of cyphers. The exercises add admirably to the text. References to other books in the field are extensive. The book is written in a non-wordy, but still very readable style, making it accessible to serious computer scientists at all levels. A mathematical background is necessary.
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