Average Error: 0.0 → 0.0
Time: 6.9s
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 r20246 = f;
        double r20247 = n;
        double r20248 = r20246 + r20247;
        double r20249 = -r20248;
        double r20250 = r20246 - r20247;
        double r20251 = r20249 / r20250;
        return r20251;
}
↓
double f(double f, double n) {
        double r20252 = f;
        double r20253 = n;
        double r20254 = r20252 + r20253;
        double r20255 = -r20254;
        double r20256 = r20252 - r20253;
        double r20257 = r20255 / r20256;
        return r20257;
}

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 2020046 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))