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  2. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    Rounding or rounding off means replacing a number with an approximate value that has a shorter, simpler, or more explicit representation. For example, replacing $ 23.4476 with $ 23.45, the fraction 312/937 with 1/3, or the expression √2 with 1.414. Rounding is often done to obtain a value that is easier to report and communicate than the ...

  3. Cash rounding - Wikipedia

    en.wikipedia.org/wiki/Cash_rounding

    When small-value coins are withdrawn, an alternative to the implementation of cash rounding is instead to increase the minimum unit of account to the smallest remaining currency unit and to round all prices and bank accounts to this value. Whereas cash rounding is an ongoing process, this alternative is a one-time conversion.

  4. Round number - Wikipedia

    en.wikipedia.org/wiki/Round_number

    A round number is an integer that ends with one or more "0"s (zero-digit) in a given base. [1] So, 590 is rounder than 592, but 590 is less round than 600. In both technical and informal language, a round number is often interpreted to stand for a value or values near to the nominal value expressed.

  5. Mathematics - Wikipedia

    en.wikipedia.org/wiki/Mathematics

    The Babylonians also possessed a place-value system and used a sexagesimal numeral system which is still in use today for measuring angles and time. [76] In the 6th century BC, Greek mathematics began to emerge as a distinct discipline and some Ancient Greeks such as the Pythagoreans appeared to have considered it a subject in its own right. [77]

  6. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    In computing, a roundoff error, [1] also called rounding error, [2] is the difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic. [3]

  7. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    The value distribution is similar to floating point, but the value-to-representation curve (i.e., the graph of the logarithm function) is smooth (except at 0). Conversely to floating-point arithmetic, in a logarithmic number system multiplication, division and exponentiation are simple to implement, but addition and subtraction are complex.

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