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 :
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