DocumentCode
1271426
Title
Floating-point tricks
Author
Blinn, James F.
Author_Institution
Microsoft Res., USA
Volume
17
Issue
4
fYear
1997
Firstpage
80
Lastpage
84
Abstract
The author discusses IEEE floating point representation that stores numbers in what amounts to scientific notation. He considers the sign bit, the logarithm function, function approximations, errors and refinements
Keywords
floating point arithmetic; function approximation; societies; IEEE floating point representation; errors; function approximations; logarithm function; refinements; scientific notation; sign bit; Assembly; Digital arithmetic; Engineering profession; Hardware; Personal communication networks; Programming profession; Testing; Text processing;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/38.595279
Filename
595279
Link To Document