Fixed-point arithmetic: Difference between revisions

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Most floating point representations in computers use base 2 values, which cannot exactly represent
most fractions that are easily represented in base 10.
For example, one-tenth (.1) and one-hundredth (.01) can only be represented only approximately
by base-2 floating point representations, while they can be represented exactly in fixed-point representations — one simply stores the data values multiplied by the appropriate power of 10.