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  2. Single-precision floating-point format - Wikipedia

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

    The true significand of normal numbers includes 23 fraction bits to the right of the binary point and an implicit leading bit (to the left of the binary point) with value 1. Subnormal numbers and zeros (which are the floating-point numbers smaller in magnitude than the least positive normal number) are represented with the biased exponent value ...

  3. Significand - Wikipedia

    en.wikipedia.org/wiki/Significand

    The significand [1] (also coefficient, [1] sometimes argument, [2] or more ambiguously mantissa, [3] fraction, [4] [5] [nb 1] or characteristic [6] [3]) is the first (left) part of a number in scientific notation or related concepts in floating-point representation, consisting of its significant digits. For negative numbers, it does not include ...

  4. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    The base determines the fractions that can be represented; ... The 24-bit significand will stop at position 23, ... 1 8 23 32 Representable numbers, conversion and ...

  5. Significant figures - Wikipedia

    en.wikipedia.org/wiki/Significant_figures

    Eliminate ambiguous or non-significant zeros by using Scientific Notation: For example, 1300 with three significant figures becomes 1.30 × 10 3. Likewise 0.0123 can be rewritten as 1.23 × 10 −2. The part of the representation that contains the significant figures (1.30 or 1.23) is known as the significand or mantissa.

  6. Double-precision floating-point format - Wikipedia

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

    With the 52 bits of the fraction (F) significand appearing in the ... 2 ≙ 4037 0000 0000 0000 16 ≙ +2 4 × 1.0111 2 = 10111 2 = 23

  7. A crisis by the numbers: Nursing shortages in 2025 by state - AOL

    www.aol.com/crisis-numbers-nursing-shortages...

    However, only seven of the 26 states with an increased supply end up with an oversupply, between 1% and 23%. Utah notably goes from 99% adequacy in 2025 to 123% in 2037, a jump of 24%.

  8. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    As with IEEE 754-1985, the biased-exponent field is filled with all 1 bits to indicate either infinity (trailing significand field = 0) or a NaN (trailing significand field ≠ 0). For NaNs, quiet NaNs and signaling NaNs are distinguished by using the most significant bit of the trailing significand field exclusively, [ f ] and the payload is ...

  9. IEEE 754-1985 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754-1985

    The positive and negative normalized numbers closest to zero (represented with the binary value 1 in the Exp field and 0 in the fraction field) are ±1 × 2 −1022 ≈ ±2.22507 × 10 −308 The finite positive and finite negative numbers furthest from zero (represented by the value with 2046 in the Exp field and all 1s in the fraction field) are