Average Error: 0.0 → 0.0
Time: 4.1s
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 r19788 = f;
        double r19789 = n;
        double r19790 = r19788 + r19789;
        double r19791 = -r19790;
        double r19792 = r19788 - r19789;
        double r19793 = r19791 / r19792;
        return r19793;
}
↓
double f(double f, double n) {
        double r19794 = f;
        double r19795 = n;
        double r19796 = r19794 + r19795;
        double r19797 = -r19796;
        double r19798 = r19794 - r19795;
        double r19799 = r19797 / r19798;
        return r19799;
}

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 2020018 +o rules:numerics
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))