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In computing, NaN (/ n æ n /), standing for Not a Number, is a particular value of a numeric data type (often a floating-point number) which is undefined as a number, such as the result of 0/0. Systematic use of NaNs was introduced by the IEEE 754 floating-point standard in 1985, along with the representation of other non-finite quantities ...
NaN is treated as if it had a larger absolute value than Infinity (or any other floating-point numbers). (−NaN < −Infinity; +Infinity < +NaN.) qNaN and sNaN are treated as if qNaN had a larger absolute value than sNaN. (−qNaN < −sNaN; +sNaN < +qNaN.) NaN is then sorted according to the payload.
the theoretical real numbers (an extended number line) the entities which can be represented in the format (a finite set of numbers, together with −0, infinities, and NaN) the particular representations of the entities: sign-exponent-significand, etc. the bit-pattern (encoding) used.
The decimal number 0.15625 10 represented in binary is 0.00101 2 (that is, 1/8 + 1/32). (Subscripts indicate the number base.) Analogous to scientific notation, where numbers are written to have a single non-zero digit to the left of the decimal point, we rewrite this number so it has a single 1 bit to the left of the "binary point". We simply ...
If an IEEE 754 single-precision number is converted to a decimal string with at least 9 significant digits, and then converted back to single-precision representation, the final result must match the original number. [6] The sign bit determines the sign of the number, which is the sign of the significand as well. "1" stands for negative.
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With three weeks left in the 2024 NFL regular season, it seems likely that at least a few records will be broken. Keep an eye on these marks.
largest number less than one 0 01111 0000000000: 3c00: 2 0 × (1 + 0 / 1024 ) = 1: one 0 01111 0000000001: 3c01: 2 0 × (1 + 1 / 1024 ) ≈ 1.00097656: smallest number larger than one 0 11110 1111111111: 7bff: 2 15 × (1 + 1023 / 1024 ) = 65504: largest normal number 0 11111 0000000000: 7c00: ∞: infinity 1 00000 ...