Average Error: 0.0 → 0.0
Time: 19.4s
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 r31736 = f;
        double r31737 = n;
        double r31738 = r31736 + r31737;
        double r31739 = -r31738;
        double r31740 = r31736 - r31737;
        double r31741 = r31739 / r31740;
        return r31741;
}
↓
double f(double f, double n) {
        double r31742 = f;
        double r31743 = n;
        double r31744 = r31742 + r31743;
        double r31745 = -r31744;
        double r31746 = r31742 - r31743;
        double r31747 = r31745 / r31746;
        return r31747;
}

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 2019347 +o rules:numerics
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))