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 r16843 = f;
        double r16844 = n;
        double r16845 = r16843 + r16844;
        double r16846 = -r16845;
        double r16847 = r16843 - r16844;
        double r16848 = r16846 / r16847;
        return r16848;
}
↓
double f(double f, double n) {
        double r16849 = f;
        double r16850 = n;
        double r16851 = r16849 + r16850;
        double r16852 = -r16851;
        double r16853 = r16849 - r16850;
        double r16854 = r16852 / r16853;
        return r16854;
}

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