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  2. Double-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Double-precision_floating...

    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.

  3. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    Type Explanation Size (bits) Format specifier Range Suffix for decimal constants bool: Boolean type, added in C23.: 1 (exact) %d [false, true]char: Smallest addressable unit of the machine that can contain basic character set.

  4. Primitive data type - Wikipedia

    en.wikipedia.org/wiki/Primitive_data_type

    Instead, numeric values of zero are interpreted as false, and any other value is interpreted as true. [9] The newer C99 added a distinct Boolean type _Bool (the more intuitive name bool as well as the macros true and false can be included with stdbool.h), [10] and C++ supports bool as a built-in type and true and false as reserved words. [11]

  5. IEEE 754-1985 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754-1985

    In single precision, the bias is 127, so in this example the biased exponent is 124; in double precision, the bias is 1023, so the biased exponent in this example is 1020. fraction = .01000… 2 . IEEE 754 adds a bias to the exponent so that numbers can in many cases be compared conveniently by the same hardware that compares signed 2's ...

  6. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    The figure below shows the absolute precision for both formats over a range of values. This figure can be used to select an appropriate format given the expected value of a number and the required precision. Precision of binary32 and binary64 in the range 10 −12 to 10 12. An example of a layout for 32-bit floating point is

  7. Extended precision - Wikipedia

    en.wikipedia.org/wiki/Extended_precision

    Because M falls in the range 1 ≤ M < 2, the value of log 2 M will fall in the range 0 ≤ log 2 M < 1 so at least 52 bits are needed to the right of the radix point to represent the fractional part of the logarithm. Combining 10 bits to the left of the radix point with 52 bits to the right of the radix point means that the significand part of ...

  8. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Including single-precision and double-precision IEEE 754 floats, among others; Fixed-point representation of the rationals; Integer, a direct representation of either the integers or the non-negative integers; Reference, sometimes erroneously referred to as a pointer or handle, is a value that refers to another value, possibly including itself

  9. Range (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Range_(computer_programming)

    When used in this sense, range is defined as "a pair of begin/end iterators packed together". [1] It is argued [1] that "Ranges are a superior abstraction" (compared to iterators) for several reasons, including better safety. In particular, such ranges are supported in C++20, [2] Boost C++ Libraries [3] and the D standard library. [4]