Average Error: 0.0 → 0.0
Time: 7.4s
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 r30468 = f;
        double r30469 = n;
        double r30470 = r30468 + r30469;
        double r30471 = -r30470;
        double r30472 = r30468 - r30469;
        double r30473 = r30471 / r30472;
        return r30473;
}
↓
double f(double f, double n) {
        double r30474 = f;
        double r30475 = n;
        double r30476 = r30474 + r30475;
        double r30477 = -r30476;
        double r30478 = r30474 - r30475;
        double r30479 = r30477 / r30478;
        return r30479;
}

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 2019304 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))