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  2. Numeric precision in Microsoft Excel - Wikipedia

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

    Excel maintains 15 figures in its numbers, but they are not always accurate; mathematically, the bottom line should be the same as the top line, in 'fp-math' the step '1 + 1/9000' leads to a rounding up as the first bit of the 14 bit tail '10111000110010' of the mantissa falling off the table when adding 1 is a '1', this up-rounding is not undone when subtracting the 1 again, since there is no ...

  3. Point (typography) - Wikipedia

    en.wikipedia.org/wiki/Point_(typography)

    The Fournier scale: two inches in total, divided into four half-inches, the medium intervals are one line (1 ⁄ 12 inch), and the smallest intervals are 1 ⁄ 36 inch; no intervals for the point is given, though. Fournier printed a reference scale of 144 points over two inches; however, it was too rough to accurately measure a single point. [11]

  4. Traditional point-size names - Wikipedia

    en.wikipedia.org/wiki/Traditional_point-size_names

    ⁠2 + 1 / 2 ⁠ ≈ 0.882 mm: Norse: Microscopique [9] Microscopique [8] Microscoop Microscopie 3 ≈ 1.058 mm: Excelsior [10] [b] Minikin [10] Diamant: Brillant [8] Viertelcicero: Kwart cicero ⁠3 + 1 / 2 ⁠ ≈ 1.235 mm: Ruby Brilliant [12] 4 ≈ 1.411 mm: Brilliant Perle: Diamant Halbpetit [8] Robijn Diamant Halve petit ⁠4 + 1 / 4 ...

  5. Harvey balls - Wikipedia

    en.wikipedia.org/wiki/Harvey_balls

    Harvey balls are round ideograms used for visual communication of qualitative information. They are commonly used in comparison tables to indicate the degree to which a particular item meets a particular criterion.

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  7. Half-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Half-precision_floating...

    In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks .

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  9. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    One may also round half away from zero (or round half toward infinity), a tie-breaking rule that is commonly taught and used, namely: If the fractional part of x is exactly 0.5, then y = x + 0.5 if x is positive, and y = x − 0.5 if x is negative.