Numbers and Computers
- Publisher's listprice EUR 90.94
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38 385 Ft (36 557 Ft + 5% VAT)
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- Discount 12% (cc. 4 606 Ft off)
- Discounted price 33 779 Ft (32 170 Ft + 5% VAT)
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38 385 Ft
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Out of print
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Product details:
- Edition number Second Edition 2017
- Publisher Springer
- Date of Publication 17 February 2017
- Number of Volumes 1 pieces, Book
- ISBN 9783319505077
- Binding Hardback
- No. of pages346 pages
- Size 235x155 mm
- Weight 6623 g
- Language English
- Illustrations 56 Illustrations, black & white; 12 Illustrations, color 0
Categories
Long description:
This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers. This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers.
Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second examines several other number representations. Details are explained thoroughly, with clarity and specificity. Each chapter ends with a summary, recommendations, carefully selected references, and exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, big integers and rational arithmetic. This new edition has three new chapters: Pitfalls of Floating-Point Numbers (and How to Avoid Them), Arbitrary Precision Floating Point, and Other Number Systems.
This book is for anyone who develops software including software engineers, scientists, computer science students, engineering students and anyone who programs for fun.
?Kneusel offers a book for all these audiences, and for anyone who would like to delve deeper into this branch of technology. ? This book should be an excellent resource in the classroom. It can serve as a good reference for future use and can also be used very profitably for self-study.? (Edgar R. Chavez, Computing Reviews, May, 2018)? More
Table of Contents:
Number Systems.- Integers.- Floating Point.- Pitfalls of Floating-Point Numbers (and How to Avoid Them).- Big Integers and Rational Arithmetic.- Fixed-Point Numbers.- Decimal Floating Point.- Interval Arithmetic.- Arbitrary Precision Floating-Point.- Other Number Systems.
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