| slovo | definícia |
fudge factor
(encz) | fudge factor, n: |
fudge factor
(gcide) | fudge factor \fudge factor\, n.
a term or factor inserted into a calculation to compensate
for anticipated errors, or to arbitrarily make the result
conform to some desired conclusion.
[PJC] |
fudge factor
(wn) | fudge factor
n 1: a quantity that is added or subtracted in order to increase
the accuracy of a scientific measure [syn: correction,
fudge factor] |
fudge factor
(foldoc) | fudge factor
A value or parameter that is varied in an ad hoc way to
produce the desired result. The terms "tolerance" and slop
are also used, though these usually indicate a one-sided
leeway, such as a buffer that is made larger than necessary
because one isn't sure exactly how large it needs to be, and
it is better to waste a little space than to lose completely
for not having enough. A fudge factor, on the other hand, can
often be tweaked in more than one direction. A good example
is the "fuzz" typically allowed in floating-point
calculations: two numbers being compared for equality must be
allowed to differ by a small amount; if that amount is too
small, a computation may never terminate, while if it is too
large, results will be needlessly inaccurate. Fudge factors
are frequently adjusted incorrectly by programmers who don't
fully understand their import.
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fudge factor
(jargon) | fudge factor
n.
[common] A value or parameter that is varied in an ad hoc way to produce
the desired result. The terms tolerance and slop are also used, though
these usually indicate a one-sided leeway, such as a buffer that is made
larger than necessary because one isn't sure exactly how large it needs to
be, and it is better to waste a little space than to lose completely for
not having enough. A fudge factor, on the other hand, can often be tweaked
in more than one direction. A good example is the fuzz typically allowed in
floating-point calculations: two numbers being compared for equality must
be allowed to differ by a small amount; if that amount is too small, a
computation may never terminate, while if it is too large, results will be
needlessly inaccurate. Fudge factors are frequently adjusted incorrectly by
programmers who don't fully understand their import. See also {coefficient
of X}.
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