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NaN. In computing, NaN (/ næn /), standing for Not a Number, is a particular value of a numeric data type (often 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 standard in 1985, along with the representation of other non-finite quantities ...
The IEEE Standard for Floating-Point Arithmetic (IEEE 754) is a technical standard for floating-point arithmetic originally established in 1985 by the Institute of Electrical and Electronics Engineers (IEEE). The standard addressed many problems found in the diverse floating-point implementations that made them difficult to use reliably and ...
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 dynamic 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.
isnan(x) a predicate for "x is a NaN", equivalent to "x ≠ x" x <> y, which turns out to have different behavior than NOT(x = y) due to NaN. unordered(x, y) is true when "x is unordered with y", i.e., either x or y is a NaN. class(x) nextafter(x,y) returns the next representable value from x in the direction towards y
In computing, floating-point arithmetic (FP) is arithmetic that represents subsets of real numbers using an integer with a fixed precision, called the significand, scaled by an integer exponent of a fixed base. Numbers of this form are called floating-point numbers. [1]: 3 [2]: 10 For example, 12.345 is a floating-point number in base ten with ...
The null coalescing operator replaces null pointers with a default value. The Haskell equivalent is a way of extracting a value from a Maybe by supplying a default value. This is the function fromMaybe. fromMaybe :: a -> Maybe a -> a fromMaybe defaultValue x = case x of Nothing -> defaultValue Just value -> value.
In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks.
t. e. The bfloat16 (brain floating point) [1][2] floating-point format is a computer number format occupying 16 bits in computer memory; it represents a wide dynamic range of numeric values 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) with ...