Average Error: 0.0 → 0.0
Time: 11.8s
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 r18404 = f;
        double r18405 = n;
        double r18406 = r18404 + r18405;
        double r18407 = -r18406;
        double r18408 = r18404 - r18405;
        double r18409 = r18407 / r18408;
        return r18409;
}
↓
double f(double f, double n) {
        double r18410 = f;
        double r18411 = n;
        double r18412 = r18410 + r18411;
        double r18413 = -r18412;
        double r18414 = r18410 - r18411;
        double r18415 = r18413 / r18414;
        return r18415;
}

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 2020043 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))