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  2. Cash rounding - Wikipedia

    en.wikipedia.org/wiki/Cash_rounding

    An equal distance is possible when the rounding interval is an even number. The introduction of cash rounding is typically accompanied by publicity campaigns for awareness among both consumers and implementing merchants; smaller campaigns will accompany the extension of an existing rounding system to a higher rounding interval.

  3. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    This type of rounding, which is also named rounding to a logarithmic scale, is a variant of rounding to a specified power. Rounding on a logarithmic scale is accomplished by taking the log of the amount and doing normal rounding to the nearest value on the log scale. For example, resistors are supplied with preferred numbers on a logarithmic scale.

  4. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    This rounding rule is biased because it always moves the result toward zero. Round-to-nearest : f l ( x ) {\displaystyle fl(x)} is set to the nearest floating-point number to x {\displaystyle x} . When there is a tie, the floating-point number whose last stored digit is even (also, the last digit, in binary form, is equal to 0) is used.

  5. Harvey balls - Wikipedia

    en.wikipedia.org/wiki/Harvey_balls

    In addition to their use in qualitative comparison, Harvey balls are also commonly used in project management for project tracking; in lean manufacturing for value-stream mapping and continuous improvement tracking; and in business process modeling software for visualisation.

  6. Microsoft PowerPoint - Wikipedia

    en.wikipedia.org/wiki/Microsoft_PowerPoint

    PowerPoint version 14.0 (2010, 2011 for Mac) could read and write Transitional, and also read but not write Strict. PowerPoint version 15.0 and later (beginning 2013, 2016 for Mac) can read and write both Transitional and Strict formats. The reason for the two variants was explained by Microsoft: [278]

  7. Approximation algorithm - Wikipedia

    en.wikipedia.org/wiki/Approximation_algorithm

    Then converting this fractional solution into a feasible solution by some appropriate rounding. The popular relaxations include the following. Linear programming relaxations; Semidefinite programming relaxations; Primal-dual methods; Dual fitting; Embedding the problem in some metric and then solving the problem on the metric.