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  2. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    In computing, a roundoff error, [1] also called rounding error, [2] is the difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic. [3]

  3. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    This type of rounding, which is also named rounding to a logarithmic scale, is a variant of rounding to a specified power. Rounding on a logarithmic scale is accomplished by taking the log of the amount and doing normal rounding to the nearest value on the log scale. For example, resistors are supplied with preferred numbers on a logarithmic scale.

  4. Machine epsilon - Wikipedia

    en.wikipedia.org/wiki/Machine_epsilon

    This alternative definition is significantly more widespread: machine epsilon is the difference between 1 and the next larger floating point number.This definition is used in language constants in Ada, C, C++, Fortran, MATLAB, Mathematica, Octave, Pascal, Python and Rust etc., and defined in textbooks like «Numerical Recipes» by Press et al.

  5. Quantization (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Quantization_(signal...

    Because quantization is a many-to-few mapping, it is an inherently non-linear and irreversible process (i.e., because the same output value is shared by multiple input values, it is impossible, in general, to recover the exact input value when given only the output value).

  6. Numerical stability - Wikipedia

    en.wikipedia.org/wiki/Numerical_stability

    The precise definition of stability depends on the context. ... in numerical algorithms for differential equations the concern is the growth of round-off errors and ...

  7. JPMorgan Settlement: Rounding Error? - AOL

    www.aol.com/news/2013-10-23-putting-the-massive...

    The tentative $13 billion JPMorgan settlement is enormous, but is it really just a rounding error? In this segment of The Motley Fool's financials-focused show, Where the Money Is, banking ...

  8. Associative property - Wikipedia

    en.wikipedia.org/wiki/Associative_property

    In mathematics, addition and multiplication of real numbers are associative. By contrast, in computer science, addition and multiplication of floating point numbers are not associative, as different rounding errors may be introduced when dissimilar-sized values are joined in a different order. [7]

  9. Opinion: Why the margin of error matters in the 2024 election ...

    www.aol.com/opinion-why-margin-error-matters...

    Those results were within our poll's margin of error, meaning we were correct to declare it "too close to call" — and we would have been wrong to say Clinton was ahead. 2024 will be a close election