• DocumentCode
    33809
  • Title

    Practically Accurate Floating-Point Math

  • Author

    Toronto, Neil ; McCarthy, John

  • Author_Institution
    Brigham Young Univ., Provo, UT, USA
  • Volume
    16
  • Issue
    4
  • fYear
    2014
  • fDate
    July-Aug. 2014
  • Firstpage
    80
  • Lastpage
    95
  • Abstract
    With the right tools, floating-point code can be debugged like any other code, drastically improving its accuracy and reliability.
  • Keywords
    floating point arithmetic; mathematics computing; floating-point code debugging; floating-point math; Debugging; Encoding; Floating-point arithmetic; Mathematics; Measurement uncertainty; Programming; Standards; IEEE 754-2008 floating-point standard; Scientific programming; code debugging; floating-point code; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2014.90
  • Filename
    6879754
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=33809