Average Error: 0.0 → 0.0
Time: 3.4s
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 r14610 = f;
        double r14611 = n;
        double r14612 = r14610 + r14611;
        double r14613 = -r14612;
        double r14614 = r14610 - r14611;
        double r14615 = r14613 / r14614;
        return r14615;
}
↓
double f(double f, double n) {
        double r14616 = f;
        double r14617 = n;
        double r14618 = r14616 + r14617;
        double r14619 = -r14618;
        double r14620 = r14616 - r14617;
        double r14621 = r14619 / r14620;
        return r14621;
}

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 2020062 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))