Average Error: 32.3 → 0.4
Time: 3.5s
Precision: binary64
\[\log \left(x + \sqrt{x \cdot x - 1}\right)\]
\[\log \left(x + \left(x - \frac{0.5}{x}\right)\right)\]
\log \left(x + \sqrt{x \cdot x - 1}\right)
\log \left(x + \left(x - \frac{0.5}{x}\right)\right)
(FPCore (x) :precision binary64 (log (+ x (sqrt (- (* x x) 1.0)))))
(FPCore (x) :precision binary64 (log (+ x (- x (/ 0.5 x)))))
double code(double x) {
	return log(x + sqrt((x * x) - 1.0));
}
double code(double x) {
	return log(x + (x - (0.5 / 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 0.4

    \[\leadsto \log \left(x + \color{blue}{\left(x - 0.5 \cdot \frac{1}{x}\right)}\right)\]
  3. Simplified0.4

    \[\leadsto \log \left(x + \color{blue}{\left(x - \frac{0.5}{x}\right)}\right)\]
  4. Final simplification0.4

    \[\leadsto \log \left(x + \left(x - \frac{0.5}{x}\right)\right)\]

Reproduce

herbie shell --seed 2021059 
(FPCore (x)
  :name "Hyperbolic arc-cosine"
  :precision binary64
  (log (+ x (sqrt (- (* x x) 1.0)))))