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  2. Naming convention (programming) - Wikipedia

    en.wikipedia.org/wiki/Naming_convention...

    The hyphen is used by nearly all programmers writing COBOL (1959), Forth (1970), and Lisp (1958); it is also common in Unix for commands and packages, and is used in CSS. [5] This convention has no standard name, though it may be referred to as lisp-case or COBOL-CASE (compare Pascal case ), kebab-case , brochette-case , or other variants.

  3. Quadruple-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Quadruple-precision...

    A common software technique to implement nearly quadruple precision using pairs of double-precision values is sometimes called double-double arithmetic. [4] [5] [6] Using pairs of IEEE double-precision values with 53-bit significands, double-double arithmetic provides operations on numbers with significands of at least [4] 2 × 53 = 106 bits ...

  4. Double-precision floating-point format - Wikipedia

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

    Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point. Double precision may be chosen when the range or precision of single precision would be insufficient.

  5. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    However, since division almost immediately introduces infinitely repeating sequences of digits (such as 4/7 in decimal, or 1/10 in binary), should this possibility arise then either the representation would be truncated at some satisfactory size or else rational numbers would be used: a large integer for the numerator and for the denominator.

  6. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    FLT_EVAL_METHOD (C99) – evaluation method of expressions involving different floating-point types; FLT_RADIX – radix of the exponent in the floating-point types; FLT_DIG, DBL_DIG, LDBL_DIG – number of decimal digits that can be represented without losing precision by float, double, long double, respectively

  7. Double dabble - Wikipedia

    en.wikipedia.org/wiki/Double_dabble

    In the 1960s, the term double dabble was also used for a different mental algorithm, used by programmers to convert a binary number to decimal. It is performed by reading the binary number from left to right, doubling if the next bit is zero, and doubling and adding one if the next bit is one. [ 5 ]

  8. How To Write Numbers in Words on a Check - AOL

    www.aol.com/write-numbers-words-check-000044077.html

    Hyphenate all numbers under 100 that need more than one word. For example, $73 is written as “seventy-three,” and the words for $43.50 are “Forty-three and 50/100.”

  9. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    For numbers with a base-2 exponent part of 0, i.e. numbers with an absolute value higher than or equal to 1 but lower than 2, an ULP is exactly 2 −23 or about 10 −7 in single precision, and exactly 2 −53 or about 10 −16 in double precision. The mandated behavior of IEEE-compliant hardware is that the result be within one-half of a ULP.