Average Error: 0.0 → 0.0
Time: 1.9s
Precision: binary64
\[\frac{-\left(f + n\right)}{f - n}\]
↓
\[\frac{f + n}{n - f}\]
\frac{-\left(f + n\right)}{f - n}
↓
\frac{f + n}{n - f}
double code(double f, double n) {
	return (((double) -(((double) (f + n)))) / ((double) (f - n)));
}
↓
double code(double f, double n) {
	return (((double) (f + n)) / ((double) (n - f)));
}

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 Error: 0.0 bits

    \[\frac{-\left(f + n\right)}{f - n}\]

  2. SimplifiedError: 0.0 bits

    \[\leadsto \color{blue}{\frac{f + n}{n - f}}\]

  3. Final simplificationError: 0.0 bits

    \[\leadsto \frac{f + n}{n - f}\]

Reproduce

herbie shell --seed 2020200 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))