Floating-point tricks

  • Authors:
  • J. F. Blinn

  • Affiliations:
  • Microsoft Res., USA

  • Venue:
  • IEEE Computer Graphics and Applications
  • Year:
  • 1997

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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