Math 2.0

Numerical analysis Definition

Subnormal number

Builds on Floating-point arithmetic

Definition

Consider a floating-point system with base β\beta, precision pp and minimal exponent emin⁡e_{\min}. The smallest positive normalized number is βemin⁡\beta^{e_{\min}}. A subnormal number of the system is a real number x=± (0.d1d2…dp−1)β×βemin⁡,x = \pm\, (0 . d_1 d_2 \ldots d_{p-1})_\beta \times \beta^{e_{\min}}, where the digits did_i are integers in {0,…,β−1}\set{0, \ldots, \beta - 1}, not all zero. Equivalently, x=±k βemin⁡−p+1x = \pm k \, \beta^{e_{\min} - p + 1} with kk an integer and 1≤k≤βp−1−11 \le k \le \beta^{p-1} - 1.

Remarks

Example: in IEEE binary64, β=2\beta = 2, p=53p = 53 and emin⁡=−1022e_{\min} = -1022, so the subnormal numbers are ±k 2−1074\pm k \, 2^{-1074} with 1≤k≤252−11 \le k \le 2^{52} - 1; the smallest is 2−1074≈4.9×10−3242^{-1074} \approx 4.9 \times 10^{-324}. Non-example: 2−10222^{-1022} is not subnormal in binary64; it is the smallest positive normalized number, with leading digit 11. All subnormal numbers are multiples of the same spacing βemin⁡−p+1\beta^{e_{\min} - p + 1}, which is also the spacing of the normalized numbers in [βemin⁡,βemin⁡+1)[\beta^{e_{\min}}, \beta^{e_{\min}+1}). A subnormal number has fewer than pp significant digits, so the relative rounding error in the subnormal range can exceed the unit roundoff. Other names are denormal and denormalized numbers.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Subnormal_number
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