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  2. Numeric precision in Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Numeric_precision_in...

    Here the 'IEEE 754 double value' resulting of the 15 bit figure is 3.330560653658221E-15, which is rounded by Excel for the 'user interface' to 15 digits 3.33056065365822E-15, and then displayed with 30 decimals digits gets one 'fake zero' added, thus the 'binary' and 'decimal' values in the sample are identical only in display, the values ...

  3. Renard series - Wikipedia

    en.wikipedia.org/wiki/Renard_series

    The R20 series is usually rounded to a multiple of 0.05, and the R40 and R80 values interpolate between the R20 values, rather than being powers of the 80th root of 10 rounded correctly. In the table below, the additional R80 values are written to the right of the R40 values in the column named "R80 add'l".

  4. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    As a general rule, rounding is idempotent; [2] i.e., once a number has been rounded, rounding it again to the same precision will not change its value. Rounding functions are also monotonic; i.e., rounding two numbers to the same absolute precision will not exchange their order (but may give the same value).

  5. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    If a chart plots 10 colors or fewer, then by default it uses every other one: The colors can be manually set in a graph by adding them to the 'colors' parameter. For example, for two pie charts, the first of which is default and the second of which omits some colors in the first, you would manually enter your selections from the default 20:

  6. E series of preferred numbers - Wikipedia

    en.wikipedia.org/wiki/E_series_of_preferred_numbers

    For E48 / E96 / E192, the values from the formula are rounded to 3 significant figures, but one value (shown in bold) is different from the calculated values. To calculate the E48 series: is 48, then is incremented from 0 to 47 through the formula. All official values of E48 series match their calculated values.

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  8. Machine epsilon - Wikipedia

    en.wikipedia.org/wiki/Machine_epsilon

    This alternative definition is significantly more widespread: machine epsilon is the difference between 1 and the next larger floating point number.This definition is used in language constants in Ada, C, C++, Fortran, MATLAB, Mathematica, Octave, Pascal, Python and Rust etc., and defined in textbooks like «Numerical Recipes» by Press et al.

  9. The 2-Ingredient Bars I Make Every Christmas - AOL

    www.aol.com/2-ingredient-bars-every-christmas...

    Use a tablespoon to dollop the jam on top, then spread it out evenly, leaving about 1/4 inch bare around the edges. Crumble the remaining dough on top, creating a crumble-like topping and ...

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