Average Error: 0.0 → 0.0
Time: 4.3s
Precision: 64
\[\frac{-\left(f + n\right)}{f - n}\]
↓
\[\frac{-\left(f + n\right)}{f - n}\]
\frac{-\left(f + n\right)}{f - n}
↓
\frac{-\left(f + n\right)}{f - n}
double f(double f, double n) {
        double r21013 = f;
        double r21014 = n;
        double r21015 = r21013 + r21014;
        double r21016 = -r21015;
        double r21017 = r21013 - r21014;
        double r21018 = r21016 / r21017;
        return r21018;
}
↓
double f(double f, double n) {
        double r21019 = f;
        double r21020 = n;
        double r21021 = r21019 + r21020;
        double r21022 = -r21021;
        double r21023 = r21019 - r21020;
        double r21024 = r21022 / r21023;
        return r21024;
}

Error

Bits error versus f

Bits error versus n

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{-\left(f + n\right)}{f - n}\]

  2. Final simplification0.0

    \[\leadsto \frac{-\left(f + n\right)}{f - n}\]

Reproduce

herbie shell --seed 2020024 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))