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  2. Numeric precision in Microsoft Excel - Wikipedia

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

    The Double data type is 8 bytes, the Integer data type is 2 bytes, and the general purpose 16 byte Variant data type can be converted to a 12 byte Decimal data type using the VBA conversion function CDec. [12] Choice of variable types in a VBA calculation involves consideration of storage requirements, accuracy and speed.

  3. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    There are two common rounding rules, round-by-chop and round-to-nearest. The IEEE standard uses round-to-nearest. Round-by-chop: The base-expansion of is truncated after the ()-th digit. This rounding rule is biased because it always moves the result toward zero.

  4. Single-precision floating-point format - Wikipedia

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

    Integers between 2 24 =16777216 and 2 25 =33554432 round to a multiple of 2 (even number) Integers between 2 25 and 2 26 round to a multiple of 4... Integers between 2 n and 2 n+1 round to a multiple of 2 n-23... Integers between 2 127 and 2 128 round to a multiple of 2 104; Integers greater than or equal to 2 128 are rounded to "infinity".

  5. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    Rounding should be done by a function. This way, when the same input is rounded in different instances, the output is unchanged. Calculations done with rounding should be close to those done without rounding. As a result of (1) and (2), the output from rounding should be close to its input, often as close as possible by some metric.

  6. 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.

  7. Unit in the last place - Wikipedia

    en.wikipedia.org/wiki/Unit_in_the_last_place

    Here we start with 0 in single precision (binary32) and repeatedly add 1 until the operation does not change the value. Since the significand for a single-precision number contains 24 bits, the first integer that is not exactly representable is 2 24 +1, and this value rounds to 2 24 in round to nearest, ties to even.

  8. Double-precision floating-point format - Wikipedia

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

    00000000000 2 =000 16 is used to represent a signed zero (if F = 0) and subnormal numbers (if F ≠ 0); and; 11111111111 2 =7ff 16 is used to represent ∞ (if F = 0) and NaNs (if F ≠ 0), where F is the fractional part of the significand. All bit patterns are valid encoding. Except for the above exceptions, the entire double-precision number ...

  9. Kahan summation algorithm - Wikipedia

    en.wikipedia.org/wiki/Kahan_summation_algorithm

    = 2.80000 - 2.75987 As expected, the low-order parts can be retained in c with no or minor round-off effects. = 0.0401300 In this iteration, t was a bit too high, the excess will be subtracted off in next iteration. sum = 10005.9 Exact result is 10005.85987, sum is correct, rounded to 6 digits.