Search results
Results from the WOW.Com Content Network
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.
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 ...
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.
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 ...
Since this notation uses digits 0-9 followed by consecutive letters of the alphabet, it matches the digits used by the JavaScript parseInt() function [5] and the Python int() constructor [6] when a base larger than 10 (such as 16 or 32) is specified. It also retains hexadecimal's property of preserving bitwise sort order of the represented data ...
Compilers may also use long double for the IEEE 754 quadruple-precision binary floating-point format (binary128). This is the case on HP-UX, [4] Solaris/SPARC, [5] MIPS with the 64-bit or n32 ABI, [6] 64-bit ARM (AArch64) [7] (on operating systems using the standard AAPCS calling conventions, such as Linux), and z/OS with FLOAT(IEEE) [8] [9 ...
[1]: 22 [2]: 10 For example, in a floating-point arithmetic with five base-ten digits, the sum 12.345 + 1.0001 = 13.3451 might be rounded to 13.345. The term floating point refers to the fact that the number's radix point can "float" anywhere to the left, right, or between the significant digits of the number.
It also provides the macros FLT_EPSILON, DBL_EPSILON, LDBL_EPSILON, which represent the positive difference between 1.0 and the next greater representable number in the corresponding type (i.e. the ulp of one). [9] The Java standard library provides the functions Math.ulp(double) and Math.ulp(float). They were introduced with Java 1.5.