In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in...

Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory;...

Single-precision floating-point format (sometimes called FP32 or float32) is a computer number format, usually occupying 32 bits in computer memory; it...

quadruple precision (or quad precision) is a binary floating-point–based computer number format that occupies 16 bytes (128 bits) with precision at least...

In computing, octuple precision is a binary floating-point-based computer number format that occupies 32 bytes (256 bits) in computer memory. This 256-bit...

by using a floating radix point. This format is a shortened (16-bit) version of the 32-bit IEEE 754 single-precision floating-point format (binary32)...

Extended precision refers to floating-point number formats that provide greater precision than the basic floating-point formats. Extended precision formats support...

In computing, floating-point arithmetic (FP) is arithmetic that represents subsets of real numbers using an integer with a fixed precision, called the significand...

Half-precision floating-point format Single-precision floating-point format Double-precision floating-point format Quadruple-precision floating-point format...

IEEE 754 standard. The standard defines: arithmetic formats: sets of binary and decimal floating-point data, which consist of finite numbers (including signed...

structures of floating-point arithmetic and IEEE 754 numbers. Minifloats with 16 bits are half-precision numbers (opposed to single and double precision). There...

Hexadecimal floating point (now called HFP by IBM) is a format for encoding floating-point numbers first introduced on the IBM System/360 computers, and...

16 catamaran design Volvo F16, a truck Half-precision floating-point format, a 16-bit computer number format Shibuya Station, a railway station in Tokyo...

Half-precision floating-point format Single-precision floating-point format Double-precision floating-point format IEEE Standard for Floating-Point Arithmetic...

In computing, Microsoft Binary Format (MBF) is a format for floating-point numbers which was used in Microsoft's BASIC languages, including MBASIC, GW-BASIC...

decimal128 is a decimal floating-point computer number format that occupies 128 bits in computer memory. Formally introduced in IEEE 754-2008, it is intended...

In computing, decimal64 is a decimal floating-point computer numbering format that occupies 8 bytes (64 bits) in computer memory. It is intended for applications...

In computing, decimal32 is a decimal floating-point computer numbering format that occupies 4 bytes (32 bits) in computer memory. It is intended for applications...

value is greater than 224 (for binary single-precision IEEE floating point) or of 253 (for double-precision). Overflow or underflow may occur if |S| is...

floating-point format, termed "Linear11". N = Signed Exponent Y = Signed Mantissa Value Represented = Y × 2N Unlike the half-precision floating-point...

programming languages, long double refers to a floating-point data type that is often more precise than double precision though the language standard only requires...

Decimal floating-point (DFP) arithmetic refers to both a representation and operations on decimal floating-point numbers. Working directly with decimal...

bit. Kahan, William Morton (2002-04-19). "Names for Standardized Floating-Point Formats" (PDF). Archived (PDF) from the original on 2023-12-27. Retrieved...

different measures of precision, for example, the TOP500 supercomputer list ranks computers by 64 bit (double-precision floating-point format) operations per...

Machine epsilon or machine precision is an upper bound on the relative approximation error due to rounding in floating point number systems. This value...

precision or half-precision data in the IEEE floating-point format, and with a higher dynamic range than half-precision. An exponent value of 128 maps integer...

delimited the value. Numbers can be stored in a fixed-point format, or in a floating-point format as a significand multiplied by an arbitrary exponent...

a floating-point number) which is undefined as a number, such as the result of 0/0. Systematic use of NaNs was introduced by the IEEE 754 floating-point...

greater range and precision of real numbers, we have to abandon signed integers and fixed-point numbers and go to a "floating-point" format. In the decimal...

numbers into IEEE 754 double-precision floating-point values before exposing the computed digits with a limited precision (notably within standard JavaScript...