Average Error: 0.0 → 0.0
Time: 2.2s
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 r7478 = f;
        double r7479 = n;
        double r7480 = r7478 + r7479;
        double r7481 = -r7480;
        double r7482 = r7478 - r7479;
        double r7483 = r7481 / r7482;
        return r7483;
}
↓
double f(double f, double n) {
        double r7484 = f;
        double r7485 = n;
        double r7486 = r7484 + r7485;
        double r7487 = -r7486;
        double r7488 = r7484 - r7485;
        double r7489 = r7487 / r7488;
        return r7489;
}

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 2020064 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))