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  2. Unit in the last place - Wikipedia

    en.wikipedia.org/wiki/Unit_in_the_last_place

    Only a few libraries compute them within 0.5 ulp, this problem being complex due to the Table-maker's dilemma. [5] Since the 2010s, advances in floating-point mathematics have allowed correctly rounded functions to be almost as fast in average as these earlier, less accurate functions. A correctly rounded function would also be fully reproducible.

  3. List of arbitrary-precision arithmetic software - Wikipedia

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

    Floats and complex Python: BSD: Computable Reals: Computable Reals: Common Lisp: BSD (3-clause) libmpdec and libmpdec++: Decimal floats: C and C++: BSD (2-clause) GEM Library: Floats and complex numbers MATLAB and GNU Octave: MPL: Bignums library Integers, rationals, floats, and complex Snap! Unknown Hyper: Integers, reals, floats For .NET ...

  4. Subnormal number - Wikipedia

    en.wikipedia.org/wiki/Subnormal_number

    The significand (or mantissa) of an IEEE floating-point number is the part of a floating-point number that represents the significant digits. For a positive normalised number, it can be represented as m 0.m 1 m 2 m 3...m p−2 m p−1 (where m represents a significant digit, and p is the precision) with non-zero m 0.

  5. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    Even floating-point numbers are soon outranged, so it may help to recast the calculations in terms of the logarithm of the number. But if exact values for large factorials are desired, then special software is required, as in the pseudocode that follows, which implements the classic algorithm to calculate 1, 1×2, 1×2×3, 1×2×3×4, etc. the ...

  6. Signed zero - Wikipedia

    en.wikipedia.org/wiki/Signed_zero

    Signed zero is zero with an associated sign.In ordinary arithmetic, the number 0 does not have a sign, so that −0, +0 and 0 are equivalent. However, in computing, some number representations allow for the existence of two zeros, often denoted by −0 (negative zero) and +0 (positive zero), regarded as equal by the numerical comparison operations but with possible different behaviors in ...

  7. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    In computing, NaN (/ n æ n /), standing for Not a Number, is a particular value of a numeric data type (often a floating-point number) which is undefined as a number, such as the result of 0/0. Systematic use of NaNs was introduced by the IEEE 754 floating-point standard in 1985, along with the representation of other non-finite quantities ...

  8. You need money and have no savings. Here’s what to do ... - AOL

    www.aol.com/finance/money-no-savings-instead...

    Even $500 in emergency savings is better than $0 with a hope and a prayer. The bottom line. When unexpected expenses happen, and your savings account isn’t up to the task, using your credit card ...

  9. Floating-point error mitigation - Wikipedia

    en.wikipedia.org/wiki/Floating-point_error...

    Variable length arithmetic represents numbers as a string of digits of a variable's length limited only by the memory available. Variable-length arithmetic operations are considerably slower than fixed-length format floating-point instructions.