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  2. Hexadecimal - Wikipedia

    en.wikipedia.org/wiki/Hexadecimal

    When the number becomes large, conversion to decimal is very tedious. However, when mapping to hexadecimal, it is trivial to regard the binary string as 4-digit groups and map each to a single hexadecimal digit. [30] This example shows the conversion of a binary number to decimal, mapping each digit to the decimal value, and adding the results.

  3. Binary number - Wikipedia

    en.wikipedia.org/wiki/Binary_number

    This is because the radix of the hexadecimal system (16) is a power of the radix of the binary system (2). More specifically, 16 = 2 4, so it takes four digits of binary to represent one digit of hexadecimal, as shown in the adjacent table. To convert a hexadecimal number into its binary equivalent, simply substitute the corresponding binary ...

  4. Binary-coded decimal - Wikipedia

    en.wikipedia.org/wiki/Binary-coded_decimal

    Decimal: 9 1. Binary : 1001 0001. Hence the numerical range for one unpacked BCD byte is zero through nine inclusive, whereas the range for one packed BCD byte is zero through ninety-nine inclusive. To represent numbers larger than the range of a single byte any number of contiguous bytes may be used.

  5. Computer number format - Wikipedia

    en.wikipedia.org/wiki/Computer_number_format

    Each of these number systems is a positional system, but while decimal weights are powers of 10, the octal weights are powers of 8 and the hexadecimal weights are powers of 16. To convert from hexadecimal or octal to decimal, for each digit one multiplies the value of the digit by the value of its position and then adds the results. For example:

  6. Half-precision floating-point format - Wikipedia

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

    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 .

  7. IBM hexadecimal floating-point - Wikipedia

    en.wikipedia.org/wiki/IBM_hexadecimal_floating-point

    28 hexadecimal digits of precision is roughly equivalent to 32 decimal digits. A conversion of extended precision HFP to decimal string would require at least 35 significant digits in order to convert back to the same HFP value. The stored exponent in the low-order part is 14 less than the high-order part, unless this would be less than zero.

  8. Octal - Wikipedia

    en.wikipedia.org/wiki/Octal

    To convert a number k to decimal, use the formula that defines its base-8 representation: = = In this formula, a i is an individual octal digit being converted, where i is the position of the digit (counting from 0 for the right-most digit). Example: Convert 764 8 to decimal:

  9. Single-precision floating-point format - Wikipedia

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

    Conversion of the fractional part: Consider 0.375, the fractional part of 12.375. To convert it into a binary fraction, multiply the fraction by 2, take the integer part and repeat with the new fraction by 2 until a fraction of zero is found or until the precision limit is reached which is 23 fraction digits for IEEE 754 binary32 format.