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  2. LEB128 - Wikipedia

    en.wikipedia.org/wiki/LEB128

    LEB128. LEB128 or Little Endian Base 128 is a variable-length code compression used to store arbitrarily large integers in a small number of bytes. LEB128 is used in the DWARF debug file format [1][2] and the WebAssembly binary encoding for all integer literals. [3]

  3. Sign extension - Wikipedia

    en.wikipedia.org/wiki/Sign_extension

    Sign extension (sometimes abbreviated as sext, particularly in mnemonics) is the operation, in computer arithmetic, of increasing the number of bits of a binary number while preserving the number's sign (positive/negative) and value. This is done by appending digits to the most significant side of the number, following a procedure dependent on ...

  4. Unum (number format) - Wikipedia

    en.wikipedia.org/wiki/Unum_(number_format)

    Unum (number format) Unums (universal numbers[1]) are a family of number formats and arithmetic for implementing real numbers on a computer, proposed by John L. Gustafson in 2015. [2] They are designed as an alternative to the ubiquitous IEEE 754 floating-point standard. The latest version is known as posits. [3]

  5. Magic number (programming) - Wikipedia

    en.wikipedia.org/wiki/Magic_number_(programming)

    The term magic number or magic constant refers to the anti-pattern of using numbers directly in source code. This has been referred to as breaking one of the oldest rules of programming, dating back to the COBOL, FORTRAN and PL/1 manuals of the 1960s. [1] The use of unnamed magic numbers in code obscures the developers' intent in choosing that ...

  6. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    But even with the greatest common divisor divided out, arithmetic with rational numbers can become unwieldy very quickly: 1/99 − 1/100 = 1/9900, and if 1/101 is then added, the result is 10001/999900. The size of arbitrary-precision numbers is limited in practice by the total storage available, and computation time.

  7. Integer overflow - Wikipedia

    en.wikipedia.org/wiki/Integer_overflow

    In computer programming, an integer overflow occurs when an arithmetic operation on integers attempts to create a numeric value that is outside of the range that can be represented with a given number of digits – either higher than the maximum or lower than the minimum representable value. The most common result of an overflow is that the ...

  8. Integer (computer science) - Wikipedia

    en.wikipedia.org/wiki/Integer_(computer_science)

    The width, precision, or bitness [3] of an integral type is the number of bits in its representation. An integral type with n bits can encode 2 n numbers; for example an unsigned type typically represents the non-negative values 0 through 2 n −1.

  9. Fixed-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_arithmetic

    A fixed-point representation of a fractional number is essentially an integer that is to be implicitly multiplied by a fixed scaling factor. For example, the value 1.23 can be stored in a variable as the integer value 1230 with implicit scaling factor of 1/1000 (meaning that the last 3 decimal digits are implicitly assumed to be a decimal fraction), and the value 1 230 000 can be represented ...