Average Error: 0.0 → 0.0
Time: 16.9s
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 r30110 = f;
        double r30111 = n;
        double r30112 = r30110 + r30111;
        double r30113 = -r30112;
        double r30114 = r30110 - r30111;
        double r30115 = r30113 / r30114;
        return r30115;
}
↓
double f(double f, double n) {
        double r30116 = f;
        double r30117 = n;
        double r30118 = r30116 + r30117;
        double r30119 = -r30118;
        double r30120 = r30116 - r30117;
        double r30121 = r30119 / r30120;
        return r30121;
}

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 2019304 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))