Average Error: 0.0 → 0.0
Time: 15.6s
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 r30359 = f;
        double r30360 = n;
        double r30361 = r30359 + r30360;
        double r30362 = -r30361;
        double r30363 = r30359 - r30360;
        double r30364 = r30362 / r30363;
        return r30364;
}
↓
double f(double f, double n) {
        double r30365 = f;
        double r30366 = n;
        double r30367 = r30365 + r30366;
        double r30368 = -r30367;
        double r30369 = r30365 - r30366;
        double r30370 = r30368 / r30369;
        return r30370;
}

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