Average Error: 0.0 → 0.0
Time: 9.3s
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 r22932 = f;
        double r22933 = n;
        double r22934 = r22932 + r22933;
        double r22935 = -r22934;
        double r22936 = r22932 - r22933;
        double r22937 = r22935 / r22936;
        return r22937;
}
↓
double f(double f, double n) {
        double r22938 = f;
        double r22939 = n;
        double r22940 = r22938 + r22939;
        double r22941 = -r22940;
        double r22942 = r22938 - r22939;
        double r22943 = r22941 / r22942;
        return r22943;
}

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 2020047 +o rules:numerics
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))