Average Error: 0.0 → 0.0
Time: 13.9s
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 r23213 = f;
        double r23214 = n;
        double r23215 = r23213 + r23214;
        double r23216 = -r23215;
        double r23217 = r23213 - r23214;
        double r23218 = r23216 / r23217;
        return r23218;
}
↓
double f(double f, double n) {
        double r23219 = f;
        double r23220 = n;
        double r23221 = r23219 + r23220;
        double r23222 = -r23221;
        double r23223 = r23219 - r23220;
        double r23224 = r23222 / r23223;
        return r23224;
}

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 2019351 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))