Average Error: 0.0 → 0.0
Time: 2.8s
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 r11022 = f;
        double r11023 = n;
        double r11024 = r11022 + r11023;
        double r11025 = -r11024;
        double r11026 = r11022 - r11023;
        double r11027 = r11025 / r11026;
        return r11027;
}
↓
double f(double f, double n) {
        double r11028 = f;
        double r11029 = n;
        double r11030 = r11028 + r11029;
        double r11031 = -r11030;
        double r11032 = r11028 - r11029;
        double r11033 = r11031 / r11032;
        return r11033;
}

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 2020081 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))