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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. 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

  6. Mantissa - Wikipedia

    en.wikipedia.org/wiki/Mantissa

    Mantissa (/ m æ n ˈ t ɪ s ə /) may refer to: . Mantissa (logarithm), the fractional part of the common (base-10) logarithm Significand (also commonly called mantissa), the significant digits of a floating-point number or a number in scientific notation

  7. Talk:Single-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Talk:Single-precision...

    "The true significand 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 unless the exponent is stored with all zeros." Is the "exponent is stored with all zeros" part correct? - Richard Cavell 05:43, 17 December 2010 (UTC)

  8. Half-precision floating-point format - Wikipedia

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

    This can express values in the range ±65,504, with the minimum value above 1 being 1 + 1/1024. Depending on the computer, half-precision can be over an order of magnitude faster than double precision, e.g. 550 PFLOPS for half-precision vs 37 PFLOPS for double precision on one cloud provider.

  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