• DocumentCode
    1360084
  • Title

    Monte Carlo arithmetic: how to gamble with floating point and win

  • Author

    Parker, D. Stott ; Pierce, Brad ; Eggert, Paul R.

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
  • Volume
    2
  • Issue
    4
  • fYear
    2000
  • Firstpage
    58
  • Lastpage
    68
  • Abstract
    How sensitive to rounding errors are the results generated from a particular code running on a particular machine applied to a particular input? Monte Carlo arithmetic illustrates the potential for tools to support new kinds of a posteriori round-off error analysis
  • Keywords
    Monte Carlo methods; error analysis; floating point arithmetic; roundoff errors; Monte Carlo arithmetic; floating point arithmetic; round-off error analysis; rounding errors; Computational modeling; Error analysis; Floating-point arithmetic; Measurement uncertainty; Monte Carlo methods; Random variables; Roundoff errors; Stability; Statistical analysis; Sun;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/5992.852391
  • Filename
    852391
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1360084