Average Error: 0.2 → 0.2
Time: 1.6s
Precision: binary64
\[\frac{2}{1 - \tanh \left(\frac{x}{2}\right)} - 1\]
\[\frac{2}{1 - \tanh \left(\frac{x}{2}\right)} - 1\]
\frac{2}{1 - \tanh \left(\frac{x}{2}\right)} - 1
\frac{2}{1 - \tanh \left(\frac{x}{2}\right)} - 1
double code(double x) {
	return ((double) (((double) (2.0 / ((double) (1.0 - ((double) tanh(((double) (x / 2.0)))))))) - 1.0));
}
double code(double x) {
	return ((double) (((double) (2.0 / ((double) (1.0 - ((double) tanh(((double) (x / 2.0)))))))) - 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 0.2

    \[\frac{2}{1 - \tanh \left(\frac{x}{2}\right)} - 1\]
  2. Final simplification0.2

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

Reproduce

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