Average Error: 0.0 → 0.0
Time: 3.0s
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 r9776 = f;
        double r9777 = n;
        double r9778 = r9776 + r9777;
        double r9779 = -r9778;
        double r9780 = r9776 - r9777;
        double r9781 = r9779 / r9780;
        return r9781;
}
↓
double f(double f, double n) {
        double r9782 = f;
        double r9783 = n;
        double r9784 = r9782 + r9783;
        double r9785 = -r9784;
        double r9786 = r9782 - r9783;
        double r9787 = r9785 / r9786;
        return r9787;
}

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 2020001 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))