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  2. Approximations of π - Wikipedia

    en.wikipedia.org/wiki/Approximations_of_π

    The best known approximations to π dating to before the Common Era were accurate to two decimal places; this was improved upon in Chinese mathematics in particular by the mid-first millennium, to an accuracy of seven decimal places.

  3. Scientific notation - Wikipedia

    en.wikipedia.org/wiki/Scientific_notation

    All of the significant digits remain, but the placeholding zeroes are no longer required. Thus 1 230 400 would become 1.2304 × 10 6 if it had five significant digits. If the number were known to six or seven significant figures, it would be shown as 1.230 40 × 10 6 or 1.230 400 × 10 6. Thus, an additional advantage of scientific notation is ...

  4. Order of approximation - Wikipedia

    en.wikipedia.org/wiki/Order_of_approximation

    Thus quoting an average value containing three significant digits in the output with just one significant digit in the input data could be recognized as an example of false precision. With the implied accuracy of the data points of ±0.5, the zeroth order approximation could at best yield the result for y of ~3.7 ± 2.0 in the interval of x ...

  5. Bit numbering - Wikipedia

    en.wikipedia.org/wiki/Bit_numbering

    This table illustrates an example of decimal value of 149 and the location of LSb. In this particular example, the position of unit value (decimal 1 or 0) is located in bit position 0 (n = 0). MSb stands for most significant bit, while LSb stands for least significant bit.

  6. Approximation error - Wikipedia

    en.wikipedia.org/wiki/Approximation_error

    Best rational approximants for π (green circle), e (blue diamond), ϕ (pink oblong), (√3)/2 (grey hexagon), 1/√2 (red octagon) and 1/√3 (orange triangle) calculated from their continued fraction expansions, plotted as slopes y/x with errors from their true values (black dashes)

  7. Floating point operations per second - Wikipedia

    en.wikipedia.org/wiki/Floating_point_operations...

    The exponentiation inherent in floating-point computation assures a much larger dynamic range – the largest and smallest numbers that can be represented – which is especially important when processing data sets where some of the data may have extremely large range of numerical values or where the range may be unpredictable.

  8. Datasaurus dozen - Wikipedia

    en.wikipedia.org/wiki/Datasaurus_dozen

    The Datasaurus dozen comprises thirteen data sets that have nearly identical simple descriptive statistics to two decimal places, yet have very different distributions and appear very different when graphed. [1]

  9. List of Solar System objects by size - Wikipedia

    en.wikipedia.org/wiki/List_of_Solar_System...

    The known densities of TNOs in this size range are remarkably low (1–1.2 g/cm 3), implying that the objects retain significant internal porosity from their formation and were never gravitationally compressed into fully solid bodies. [10]