Average Error: 0.3 → 0.3
Time: 574.0ms
Precision: binary64
\[\frac{2}{x \cdot \left(x \cdot x - 1\right)}\]
↓
\[\frac{2}{x \cdot \left(x \cdot x - 1\right)}\]
\frac{2}{x \cdot \left(x \cdot x - 1\right)}
↓
\frac{2}{x \cdot \left(x \cdot x - 1\right)}
double code(double x) {
	return ((double) (2.0 / ((double) (x * ((double) (((double) (x * x)) - 1.0))))));
}
↓
double code(double x) {
	return ((double) (2.0 / ((double) (x * ((double) (((double) (x * x)) - 1.0))))));
}

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

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

  2. Final simplification0.3

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

Reproduce

herbie shell --seed 2020152 
(FPCore (x)
  :name "(/ 2.0 (* x (- (* x x) 1.0)))"
  :precision binary64
  (/ 2.0 (* x (- (* x x) 1.0))))