Average Error: 0.0 → 0.0
Time: 4.5s
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 r17148 = f;
        double r17149 = n;
        double r17150 = r17148 + r17149;
        double r17151 = -r17150;
        double r17152 = r17148 - r17149;
        double r17153 = r17151 / r17152;
        return r17153;
}
↓
double f(double f, double n) {
        double r17154 = f;
        double r17155 = n;
        double r17156 = r17154 + r17155;
        double r17157 = -r17156;
        double r17158 = r17154 - r17155;
        double r17159 = r17157 / r17158;
        return r17159;
}

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 2019352 +o rules:numerics
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))