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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.
C and C++ perform such promotion for objects of Boolean, character, wide character, enumeration, and short integer types which are promoted to int, and for objects of type float, which are promoted to double. Unlike some other type conversions, promotions never lose precision or modify the value stored in the object. In Java:
The following is an incomplete list of some arbitrary-precision arithmetic libraries for C++. GMP [1] [nb 1] MPFR [3] MPIR [4] TTMath [5] Arbitrary Precision Math C++ ...
On some PowerPC systems, [11] long double is implemented as a double-double arithmetic, where a long double value is regarded as the exact sum of two double-precision values, giving at least a 106-bit precision; with such a format, the long double type does not conform to the IEEE floating-point standard.
ColdFusion: the built-in PrecisionEvaluate() function evaluates one or more string expressions, dynamically, from left to right, using BigDecimal precision arithmetic to calculate the values of arbitrary precision arithmetic expressions. D: standard library module std.bigint; Dart: the built-in int datatype implements arbitrary-precision ...
If, however, intermediate computations are all performed in extended precision (e.g. by setting line [1] to C99 long double), then up to full precision in the final double result can be maintained. [nb 13] Alternatively, a numerical analysis of the algorithm reveals that if the following non-obvious change to line [2] is made:
A property of the single- and double-precision formats is that their encoding allows one to easily sort them without using floating-point hardware, as if the bits represented sign-magnitude integers, although it is unclear whether this was a design consideration (it seems noteworthy that the earlier IBM hexadecimal floating-point representation ...
The Matrix Template Library (MTL) is a linear algebra library for C++ programs.. The MTL uses template programming, which considerably reduces the code length.All matrices and vectors are available in all classical numerical formats: float, double, complex<float> or complex<double>.