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  2. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    This rounding rule is biased because it always moves the result toward zero. Round-to-nearest: () is set to the nearest floating-point number to . When there is a tie, the floating-point number whose last stored digit is even (also, the last digit, in binary form, is equal to 0) is used.

  3. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    This has been a particular problem with Java as it is designed to be run identically on different machines, special programming tricks have had to be used to achieve this with x87 floating point. [17] [18] The Java language was changed to allow different results where the difference does not matter and require a strictfp qualifier to be used ...

  4. strictfp - Wikipedia

    en.wikipedia.org/wiki/Strictfp

    strictfp is an obsolete and redundant reserved word in the Java programming language. [1] [2] Previously, this keyword was used as a modifier that restricted floating-point calculations to IEEE 754 semantics to ensure portability.

  5. 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.

  6. Double-precision floating-point format - Wikipedia

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

    Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point. Double precision may be chosen when the range or precision of single precision would be insufficient.

  7. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    The mathematical basis of the operations, in particular correct rounding, allows one to prove mathematical properties and design floating-point algorithms such as 2Sum, Fast2Sum and Kahan summation algorithm, e.g. to improve accuracy or implement multiple-precision arithmetic subroutines relatively easily.

  8. Kahan summation algorithm - Wikipedia

    en.wikipedia.org/wiki/Kahan_summation_algorithm

    The exact result is 10005.85987, which rounds to 10005.9. With a plain summation, each incoming value would be aligned with sum, and many low-order digits would be lost (by truncation or rounding). The first result, after rounding, would be 10003.1. The second result would be 10005.81828 before rounding and 10005.8 after rounding. This is not ...

  9. List of Java keywords - Wikipedia

    en.wikipedia.org/wiki/List_of_Java_keywords

    Although reserved as a keyword in Java, goto is not used and has no function. [2] [26] strictfp (added in J2SE 1.2) [4] Although reserved as a keyword in Java, strictfp is obsolete, and no longer has any function. [27] Previously this keyword was used to restrict the precision and rounding of floating point calculations to ensure portability. [8]