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  2. 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 ...

  3. Binary-to-text encoding - Wikipedia

    en.wikipedia.org/wiki/Binary-to-text_encoding

    A binary-to-text encoding is encoding of data in plain text. More precisely, it is an encoding of binary data in a sequence of printable characters. These encodings are necessary for transmission of data when the communication channel does not allow binary data (such as email or NNTP) or is not 8-bit clean. PGP documentation ( RFC 4880) uses ...

  4. Method of complements - Wikipedia

    en.wikipedia.org/wiki/Method_of_complements

    The smaller numbers, for use when subtracting, are the nines' complement of the larger numbers, which are used when adding. In mathematics and computing, the method of complements is a technique to encode a symmetric range of positive and negative integers in a way that they can use the same algorithm (or mechanism) for addition throughout the ...

  5. Computer number format - Wikipedia

    en.wikipedia.org/wiki/Computer_number_format

    Computer number format. A computer number format is the internal representation of numeric values in digital device hardware and software, such as in programmable computers and calculators. [ 1] Numerical values are stored as groupings of bits, such as bytes and words. The encoding between numerical values and bit patterns is chosen for ...

  6. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    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 ...

  7. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    When using a decimal floating-point format, the decimal representation will be preserved using: 7 decimal digits for decimal32, 16 decimal digits for decimal64, 34 decimal digits for decimal128. Algorithms, with code, for correctly rounded conversion from binary to decimal and decimal to binary are discussed by Gay, [59] and for testing – by ...

  8. Hexadecimal - Wikipedia

    en.wikipedia.org/wiki/Hexadecimal

    In mathematics and computing, the hexadecimal (also base-16 or simply hex) numeral system is a positional numeral system that represents numbers using a radix (base) of sixteen. Unlike the decimal system representing numbers using ten symbols, hexadecimal uses sixteen distinct symbols, most often the symbols "0"–"9" to represent values 0 to 9 ...

  9. Double dabble - Wikipedia

    en.wikipedia.org/wiki/Double_dabble

    Double dabble. In computer science, the double dabble algorithm is used to convert binary numbers into binary-coded decimal (BCD) notation. [ 1][ 2] It is also known as the shift-and-add -3 algorithm, and can be implemented using a small number of gates in computer hardware, but at the expense of high latency. [ 3]