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Issue No.04 - July/August (2000 vol.2)
pp: 58-68
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.
CITATION
D. Stott Parker, Brad Pierce, Paul R. Eggert, "Monte Carlo Arithmetic: How to Gamble with Floating Point and Win", Computing in Science & Engineering, vol.2, no. 4, pp. 58-68, July/August 2000, doi:10.1109/5992.852391
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