Average Error: 0.0 → 0.0
Time: 2.2s
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 r7590 = f;
        double r7591 = n;
        double r7592 = r7590 + r7591;
        double r7593 = -r7592;
        double r7594 = r7590 - r7591;
        double r7595 = r7593 / r7594;
        return r7595;
}
↓
double f(double f, double n) {
        double r7596 = f;
        double r7597 = n;
        double r7598 = r7596 + r7597;
        double r7599 = -r7598;
        double r7600 = r7596 - r7597;
        double r7601 = r7599 / r7600;
        return r7601;
}

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 2020064 +o rules:numerics
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))