Average Error: 0.0 → 0.0
Time: 11.7s
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 r29762 = f;
        double r29763 = n;
        double r29764 = r29762 + r29763;
        double r29765 = -r29764;
        double r29766 = r29762 - r29763;
        double r29767 = r29765 / r29766;
        return r29767;
}
↓
double f(double f, double n) {
        double r29768 = f;
        double r29769 = n;
        double r29770 = r29768 + r29769;
        double r29771 = -r29770;
        double r29772 = r29768 - r29769;
        double r29773 = r29771 / r29772;
        return r29773;
}

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 2019209 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))