Average Error: 0.3 → 0.3
Time: 526.0ms
Precision: binary64
\[\frac{1}{\left(x + 2\right) \cdot \left(x - 2\right)}\]
↓
\[\frac{1}{\left(x + 2\right) \cdot \left(x - 2\right)}\]
\frac{1}{\left(x + 2\right) \cdot \left(x - 2\right)}
↓
\frac{1}{\left(x + 2\right) \cdot \left(x - 2\right)}
double code(double x) {
	return ((double) (1.0 / ((double) (((double) (x + 2.0)) * ((double) (x - 2.0))))));
}
↓
double code(double x) {
	return ((double) (1.0 / ((double) (((double) (x + 2.0)) * ((double) (x - 2.0))))));
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.3

    \[\frac{1}{\left(x + 2\right) \cdot \left(x - 2\right)}\]

  2. Final simplification0.3

    \[\leadsto \frac{1}{\left(x + 2\right) \cdot \left(x - 2\right)}\]

Reproduce

herbie shell --seed 2020153 
(FPCore (x)
  :name "(/ 1 (* (+ x 2) (- x 2)))"
  :precision binary64
  (/ 1.0 (* (+ x 2.0) (- x 2.0))))