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  2. Root-finding algorithm - Wikipedia

    en.wikipedia.org/wiki/Root-finding_algorithm

    [8]: 11, Lemma.4.7 Note that Vrahatis and Iordanidis [8] prove a lower bound on the number of evaluations, and not an upper bound. A fourth method uses an intermediate value theorem on simplices. [9] Again, no upper bound on the number of queries is given.

  3. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    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 ...

  4. Half-precision floating-point format - Wikipedia

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

    largest subnormal number 0 00001 0000000000: 0400: 2 −14 × (1 + ⁠ 0 / 1024 ⁠) ≈ 0.00006103515625: smallest positive normal number 0 01101 0101010101: 3555: 2 −2 × (1 + ⁠ 341 / 1024 ⁠) ≈ 0.33325195: nearest value to 1/3 0 01110 1111111111: 3bff: 2 −1 × (1 + ⁠ 1023 / 1024 ⁠) ≈ 0.99951172: largest number less than one 0 ...

  5. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    The numerical value of such a finite number is (−1) s × c × b q. [a] Moreover, there are two zero values, called signed zeros: the sign bit specifies whether a zero is +0 (positive zero) or −0 (negative zero). Two infinities: +∞ and −∞. Two kinds of NaN (not-a-number): a quiet NaN (qNaN) and a signaling NaN (sNaN).

  6. Single-precision floating-point format - Wikipedia

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

    All integers with seven or fewer decimal digits, and any 2 n for a whole number −149 ≤ n ≤ 127, can be converted exactly into an IEEE 754 single-precision floating-point value. In the IEEE 754 standard , the 32-bit base-2 format is officially referred to as binary32 ; it was called single in IEEE 754-1985 .

  7. Relational operator - Wikipedia

    en.wikipedia.org/wiki/Relational_operator

    A strict equality operator is also often available in those languages, returning true only for values with identical or equivalent types (in PHP, 4 === "4" is false although 4 == "4" is true). [ 3 ] [ 4 ] For languages where the number 0 may be interpreted as false , this operator may simplify things such as checking for zero (as x == 0 would ...

  8. Truth value - Wikipedia

    en.wikipedia.org/wiki/Truth_value

    In C, the number 0 or 0.0 is false, and all other values are treated as true. In JavaScript, the empty string (""), null, undefined, NaN, +0, −0 and false [3] are sometimes called falsy (of which the complement is truthy) to distinguish between strictly type-checked and coerced Booleans (see also: JavaScript syntax#Type conversion). [4]

  9. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    Rather than storing values as a fixed number of bits related to the size of the processor register, these implementations typically use variable-length arrays of digits. Arbitrary precision is used in applications where the speed of arithmetic is not a limiting factor, or where precise results with very large numbers are required.