Average Error: 0.0 → 0.0
Time: 4.2s
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 r19623 = f;
        double r19624 = n;
        double r19625 = r19623 + r19624;
        double r19626 = -r19625;
        double r19627 = r19623 - r19624;
        double r19628 = r19626 / r19627;
        return r19628;
}
↓
double f(double f, double n) {
        double r19629 = f;
        double r19630 = n;
        double r19631 = r19629 + r19630;
        double r19632 = -r19631;
        double r19633 = r19629 - r19630;
        double r19634 = r19632 / r19633;
        return r19634;
}

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 2020046 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))