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The range of a double-double remains essentially the same as the double-precision format because the exponent has still 11 bits, [4] significantly lower than the 15-bit exponent of IEEE quadruple precision (a range of 1.8 × 10 308 for double-double versus 1.2 × 10 4932 for binary128).
The double hyphen is used for several different purposes throughout the world: Some typefaces, such as Fraktur faces, use the double hyphen as a glyphic variant of the single hyphen. (With Fraktur faces, such a double hyphen is usually oblique.) It may be also used for artistic or commercial purposes to achieve a distinctive visual effect.
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.
Some numbers may have several possible floating-point representations. For instance, if b = 10, and p = 7, then −12.345 can be represented by −12345×10 −3, −123450×10 −4, and −1234500×10 −5. However, for most operations, such as arithmetic operations, the result (value) does not depend on the representation of the inputs.
FLT_MANT_DIG, DBL_MANT_DIG, LDBL_MANT_DIG – number of FLT_RADIX-base digits in the floating-point significand for types float, double, long double, respectively FLT_MIN_EXP , DBL_MIN_EXP , LDBL_MIN_EXP – minimum negative integer such that FLT_RADIX raised to a power one less than that number is a normalized float, double, long double ...
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.
Both alternatives provide exactly the same set of representable numbers: 16 digits of significand and 3 × 2 8 = 768 possible decimal exponent values. (All the possible decimal exponent values storable in a binary64 number are representable in decimal64, and most bits of the significand of a binary64 are stored keeping roughly the same number ...
Here we start with 0 in single precision (binary32) and repeatedly add 1 until the operation does not change the value. Since the significand for a single-precision number contains 24 bits, the first integer that is not exactly representable is 2 24 +1, and this value rounds to 2 24 in round to nearest, ties to even.