Average Error: 31.5 → 0.0
Time: 9.9s
Precision: binary64
\[\frac{x - \sin x}{x - \tan x}\]
\[\begin{array}{l} \mathbf{if}\;x \leq -0.027966059282491268 \lor \neg \left(x \leq 0.025115649644518994\right):\\ \;\;\;\;\log \left(e^{\frac{x - \sin x}{x - \tan x}}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-0.5 + \left(x \cdot x\right) \cdot 0.225\right) - 0.009642857142857142 \cdot {x}^{4}\\ \end{array}\]
\frac{x - \sin x}{x - \tan x}
\begin{array}{l}
\mathbf{if}\;x \leq -0.027966059282491268 \lor \neg \left(x \leq 0.025115649644518994\right):\\
\;\;\;\;\log \left(e^{\frac{x - \sin x}{x - \tan x}}\right)\\

\mathbf{else}:\\
\;\;\;\;\left(-0.5 + \left(x \cdot x\right) \cdot 0.225\right) - 0.009642857142857142 \cdot {x}^{4}\\

\end{array}
(FPCore (x) :precision binary64 (/ (- x (sin x)) (- x (tan x))))
(FPCore (x)
 :precision binary64
 (if (or (<= x -0.027966059282491268) (not (<= x 0.025115649644518994)))
   (log (exp (/ (- x (sin x)) (- x (tan x)))))
   (- (+ -0.5 (* (* x x) 0.225)) (* 0.009642857142857142 (pow x 4.0)))))
double code(double x) {
	return (x - sin(x)) / (x - tan(x));
}
double code(double x) {
	double tmp;
	if ((x <= -0.027966059282491268) || !(x <= 0.025115649644518994)) {
		tmp = log(exp((x - sin(x)) / (x - tan(x))));
	} else {
		tmp = (-0.5 + ((x * x) * 0.225)) - (0.009642857142857142 * pow(x, 4.0));
	}
	return tmp;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Split input into 2 regimes
  2. if x < -0.027966059282491268 or 0.025115649644518994 < x

    1. Initial program 0.0

      \[\frac{x - \sin x}{x - \tan x}\]
    2. Using strategy rm
    3. Applied add-log-exp_binary640.0

      \[\leadsto \color{blue}{\log \left(e^{\frac{x - \sin x}{x - \tan x}}\right)}\]

    if -0.027966059282491268 < x < 0.025115649644518994

    1. Initial program 62.9

      \[\frac{x - \sin x}{x - \tan x}\]
    2. Using strategy rm
    3. Applied add-log-exp_binary6462.9

      \[\leadsto \color{blue}{\log \left(e^{\frac{x - \sin x}{x - \tan x}}\right)}\]
    4. Taylor expanded around 0 0.0

      \[\leadsto \color{blue}{\left(\log \left(e^{-0.5}\right) + 0.225 \cdot {x}^{2}\right) - 0.009642857142857142 \cdot {x}^{4}}\]
    5. Simplified0.0

      \[\leadsto \color{blue}{\left(-0.5 + \left(x \cdot x\right) \cdot 0.225\right) - 0.009642857142857142 \cdot {x}^{4}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.0

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq -0.027966059282491268 \lor \neg \left(x \leq 0.025115649644518994\right):\\ \;\;\;\;\log \left(e^{\frac{x - \sin x}{x - \tan x}}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-0.5 + \left(x \cdot x\right) \cdot 0.225\right) - 0.009642857142857142 \cdot {x}^{4}\\ \end{array}\]

Reproduce

herbie shell --seed 2020299 
(FPCore (x)
  :name "sintan (problem 3.4.5)"
  :precision binary64
  (/ (- x (sin x)) (- x (tan x))))