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Modern computer arithmetic

Author: R P Brent; Paul Zimmermann
Publisher: Cambridge ; New York : Cambridge University Press, 2011.
Series: Cambridge monographs on applied and computational mathematics, 18.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Modern Computer Arithmetic focuses on arbitrary-precision algorithms for efficiently performing arithmetic operations such as addition, multiplication and division, and their connections to topics such as modular arithmetic, greatest common divisors, the Fast Fourier Transform (FFT), and the computation of elementary and special functions. Brent and Zimmermann present algorithms that are ready to implement in your  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: R P Brent; Paul Zimmermann
ISBN: 9780521194693 0521194695
OCLC Number: 693517114
Description: xvi, 221 p. : ill. ; 24 cm.
Contents: Notation --
Integer arithmetic --
Modular arithmetic and the FFT --
Floating-point arithmetic --
Newton's method and function evaluation --
Appendix. Implementations and pointers.
Series Title: Cambridge monographs on applied and computational mathematics, 18.
Responsibility: Richard P. Brent, Paul Zimmermann.

Abstract:

Contains all state-of-the-art algorithms dealing with multiple-precision integers or floating-point numbers in a ready-to-implement format.  Read more...

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'Very few books do justice to material that is suitable for both professional software engineers and graduate students. This book does just that, without losing its focus or stressing one audience Read more...

 
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schema:description""Modern Computer Arithmetic focuses on arbitrary-precision algorithms for efficiently performing arithmetic operations such as addition, multiplication and division, and their connections to topics such as modular arithmetic, greatest common divisors, the Fast Fourier Transform (FFT), and the computation of elementary and special functions. Brent and Zimmermann present algorithms that are ready to implement in your favorite language, while keeping a high-level description and avoiding too low-level or machine-dependent details. The book is intended for anyone interested in the design and implementation of efficient high-precision algorithms for computer arithmetic, and more generally efficient multiple-precision numerical algorithms. It may also be used in a graduate course in mathematics or computer science, for which exercises are included. These vary considerably in difficulty, from easy to small research projects, and expand on topics discussed in the text. Solutions are available from the authors."--Publisher's website."
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