Average Error: 32.3 → 0.2
Time: 3.8s
Precision: 64
\[\log \left(x + \sqrt{x \cdot x - 1}\right)\]
\[\log \left(x + \left(\left(x - \frac{0.125}{{x}^{3}}\right) - 0.5 \cdot \frac{1}{x}\right)\right)\]
\log \left(x + \sqrt{x \cdot x - 1}\right)
\log \left(x + \left(\left(x - \frac{0.125}{{x}^{3}}\right) - 0.5 \cdot \frac{1}{x}\right)\right)
double code(double x) {
	return log((x + sqrt(((x * x) - 1.0))));
}
double code(double x) {
	return log((x + ((x - (0.125 / pow(x, 3.0))) - (0.5 * (1.0 / x)))));
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 32.3

    \[\log \left(x + \sqrt{x \cdot x - 1}\right)\]
  2. Taylor expanded around inf 0.2

    \[\leadsto \log \left(x + \color{blue}{\left(x - \left(0.5 \cdot \frac{1}{x} + 0.125 \cdot \frac{1}{{x}^{3}}\right)\right)}\right)\]
  3. Simplified0.2

    \[\leadsto \log \left(x + \color{blue}{\left(\left(x - \frac{0.125}{{x}^{3}}\right) - 0.5 \cdot \frac{1}{x}\right)}\right)\]
  4. Final simplification0.2

    \[\leadsto \log \left(x + \left(\left(x - \frac{0.125}{{x}^{3}}\right) - 0.5 \cdot \frac{1}{x}\right)\right)\]

Reproduce

herbie shell --seed 2020078 
(FPCore (x)
  :name "Hyperbolic arc-cosine"
  :precision binary64
  (log (+ x (sqrt (- (* x x) 1)))))