Finite Precision Number Systems and Arithmetic

Finite Precision Number Systems and Arithmetic

ISBN-10:
0521761352
ISBN-13:
9780521761352
Pub. Date:
09/30/2010
Publisher:
Cambridge University Press
ISBN-10:
0521761352
ISBN-13:
9780521761352
Pub. Date:
09/30/2010
Publisher:
Cambridge University Press
Finite Precision Number Systems and Arithmetic

Finite Precision Number Systems and Arithmetic

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Overview

Fundamental arithmetic operations support virtually all of the engineering, scientific, and financial computations required for practical applications, from cryptography, to financial planning, to rocket science. This comprehensive reference provides researchers with the thorough understanding of number representations that is a necessary foundation for designing efficient arithmetic algorithms. Using the elementary foundations of radix number systems as a basis for arithmetic, the authors develop and compare alternative algorithms for the fundamental operations of addition, multiplication, division, and square root with precisely defined roundings. Various finite precision number systems are investigated, with the focus on comparative analysis of practically efficient algorithms for closed arithmetic operations over these systems. Each chapter begins with an introduction to its contents and ends with bibliographic notes and an extensive bibliography. The book may also be used for graduate teaching: problems and exercises are scattered throughout the text and a solutions manual is available for instructors.

Product Details

ISBN-13: 9780521761352
Publisher: Cambridge University Press
Publication date: 09/30/2010
Series: Encyclopedia of Mathematics and its Applications , #133
Edition description: New Edition
Pages: 716
Product dimensions: 6.20(w) x 9.30(h) x 1.70(d)

About the Author

Peter Kornerup is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense.

David W. Matula is Professor of Computer Science at Southern Methodist University, Dallas.

Table of Contents

Preface; 1. Radix polynomial representations; 2. Base and digit set conversion; 3. Addition; 4. Multiplication; 5. Division; 6. Square root; 7. Floating point number systems; 8. Modular arithmetic and residue number systems; 9. Rational arithmetic; Author index; Index.
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