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  2. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    However, since division almost immediately introduces infinitely repeating sequences of digits (such as 4/7 in decimal, or 1/10 in binary), should this possibility arise then either the representation would be truncated at some satisfactory size or else rational numbers would be used: a large integer for the numerator and for the denominator.

  3. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    The original binary value will be preserved by converting to decimal and back again using: [58] 5 decimal digits for binary16, 9 decimal digits for binary32, 17 decimal digits for binary64, 36 decimal digits for binary128. For other binary formats, the required number of decimal digits is [h]

  4. Fixed-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_arithmetic

    This decimal format can also represent any binary fraction a/2 m, such as 1/8 (0.125) or 17/32 (0.53125). More generally, a rational number a / b , with a and b relatively prime and b positive, can be exactly represented in binary fixed point only if b is a power of 2; and in decimal fixed point only if b has no prime factors other than 2 and/or 5.

  5. 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.

  6. List of arbitrary-precision arithmetic software - Wikipedia

    en.wikipedia.org/wiki/List_of_arbitrary...

    Java: Class java.math.BigInteger (integer), java.math.BigDecimal Class (decimal) JavaScript: as of ES2020, BigInt is supported in most browsers; [2] the gwt-math library provides an interface to java.math.BigDecimal, and libraries such as DecimalJS, BigInt and Crunch support arbitrary-precision integers.

  7. Double-precision floating-point format - Wikipedia

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

    The 53-bit significand precision gives from 15 to 17 significant decimal digits precision (2 −53 ≈ 1.11 × 10 −16). If a decimal string with at most 15 significant digits is converted to the IEEE 754 double-precision format, giving a normal number, and then converted back to a decimal string with the same number of digits, the final ...

  8. Unum (number format) - Wikipedia

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

    Convert decimal to posit 6, 8, 16, 32; generate tables 2–17 with es 1–4. N/A N/A; interactive widget Fully tested Table generator and conversion Universal. Stillwater Supercomputing, Inc C++ template library C library Python wrapper Golang library Arbitrary precision posit float valid (p) Unum type 1 (p) Unum type 2 (p)

  9. Scale factor (computer science) - Wikipedia

    en.wikipedia.org/wiki/Scale_factor_(computer...

    In other words, to preserve n digits to the right of the decimal point, it is necessary to multiply the entire number by 10 n. In computers, which perform calculations in binary, the real number is multiplied by 2 m to preserve m digits to the right of the binary point; alternatively, one can bit shift the value m places to the left. For ...