On 10/9/05 7:41 AM, "Mark Waddingham" <[EMAIL PROTECTED]> wrote:
> Floating-point arithmetic (which Revolution uses) works entirely in base > 2. However, while all decimal integers have an accurate representation > in binary, not all decimal fractions do and this is where the > approximation error comes from. > > For example: > 1/8 = 0.125 (decimal) and 0.001 (binary) > But > 1/5 = 0.2 (decimal) and 0.0011001100110011... (binary) > Note that the binary representation of 1/5 is a recurring fraction and > as such admits no finite (non-rational) representation. Thanks for that explanation, Mark! It makes sense to me now... Ken Ray Sons of Thunder Software Web site: http://www.sonsothunder.com/ Email: [EMAIL PROTECTED] _______________________________________________ use-revolution mailing list use-revolution@lists.runrev.com Please visit this url to subscribe, unsubscribe and manage your subscription preferences: http://lists.runrev.com/mailman/listinfo/use-revolution
