Base64 is a group of similar binary-to-text encoding schemes that represent binary data in an ASCII string format by translating it into a radix-64 representation. Rue Du Soleil Essential Feelings Rar File there.

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Double-precision floating-point format is a, usually occupying 64 bits in computer memory; it represents a wide of numeric values by using a. Crack Plugin Cinema 4d R14 Studio Macro. Floating point is used to represent fractional values, or when a wider range is needed than is provided by (of the same bit width), even if at the cost of precision.

Double precision may be chosen when the range and/or precision of would be insufficent. In the, the 64-bit base-2 format is officially referred to as binary64; it was called double in.

IEEE 754 specifies additional floating-point types, including 32-bit base-2 single precision and, more recently, base-10 representations. One of the first to provide single- and double-precision floating-point data types was. Before the widespread adoption of IEEE 754-1985, the representation and properties of floating-point data types depended on the and computer model, and upon decisions made by programming-language implementers. E.g., 's double-precision data type was the floating-point format. •: (binary16) •: (binary32), •: (binary64), •: (binary128), •: (binary256) • (40-bit or 80-bit) Other • • • •. This section is from. ( ) Although the ubiquitous x86 processors of today use little-endian storage for all types of data (integer, floating point, ), there are a number of hardware architectures where numbers are represented in big-endian form while integers are represented in little-endian form.

There are processors that have half little-endian, half big-endian floating-point representation for double-precision numbers: both 32-bit words are stored in little-endian like integer registers, but the most significant one first. Because there have been many floating-point formats with no ' standard representation for them, the standard uses big-endian IEEE 754 as its representation.

It may therefore appear strange that the widespread floating-point standard does not specify endianness. Theoretically, this means that even standard IEEE floating-point data written by one machine might not be readable by another. However, on modern standard computers (i.e., implementing IEEE 754), one may in practice safely assume that the endianness is the same for floating-point numbers as for integers, making the conversion straightforward regardless of data type. (Small using special floating-point formats may be another matter however.) Double-precision examples [ ] 0 1 00 2 ≙ +2 01 = 1 0 1 01 2 ≙ +2 0(1 + 2 −52) ≈ 1.000002, the smallest number >1 0 1 10 2 ≙ +2 0(1 + 2 −51) ≈ 1.000004 0 0 00 2 ≙ +2 11 = 2 1 0 00 2 ≙ −2 11 = −2 0 0 00 2 ≙ +2 11.1 2 = 11 2 = 3 0 1 00 2 ≙ +2 21 = 100 2 = 4 0 1 00 2 ≙ +2 21.01 2 = 101 2 = 5 0 1 00 2 ≙ +2 21.1 2 = 110 2 = 6 0 1 00 2 ≙ +2 41.0111 2 = 10111 2 = 23 0 0 01 2 ≙ +2 −10222 −52 = 2 −1074 ≈ 4.910 −324 (Min. Subnormal positive double) 0 0 11 2 ≙ +2 −1022(1 − 2 −52) ≈ 2.07200910 −308 (Max. Subnormal double) 0 1 00 2 ≙ +2 −10221 ≈ 2.07201410 −308 (Min. Normal positive double) 0 0 11 2 ≙ +2 1023(1 + (1 − 2 −52)) ≈ 1.62315710 308 (Max.

Double) 0 0 00 2 ≙ +0 1 0 00 2 ≙ −0 0 1 00 2 ≙ +∞ (positive infinity) 1 1 00 2 ≙ −∞ (negative infinity) 0 1 00 2 ≙ NaN 0 1 11 2 ≙ NaN (an alternative encoding) 0 1 01 2 = 3fd5 5555 5555 5555 16 ≙ +2 −2(1 + 2 −2 + 2 −4 +. + 2 −52) ≈ 1/ 3 0 0 00 2 = 4009 21fb 5444 2d18 16 ≈ pi By default, 1/ 3 rounds down, instead of up like, because of the odd number of bits in the significand.