Search Result for "fudge_factor":
Wordnet 3.0

NOUN (1)

1. a quantity that is added or subtracted in order to increase the accuracy of a scientific measure;
[syn: correction, fudge factor]

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The Collaborative International Dictionary of English v.0.48: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]

WordNet (r) 3.0 (2006):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]

The Jargon File (version 4.4.7, 29 Dec 2003):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
of X.

The Free On-line Dictionary of Computing (30 December 2018):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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