Average Error: 31.5 → 0.3
Time: 3.9s
Precision: 64
\[\frac{1 - \cos x}{x \cdot x}\]
\[\begin{array}{l} \mathbf{if}\;x \le -0.03054575583888737 \lor \neg \left(x \le 0.03411142251183559\right):\\ \;\;\;\;\frac{1}{x} \cdot \frac{e^{\log \left(1 - \cos x\right)}}{x}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{720} \cdot {x}^{4} + \left(\frac{1}{2} - \frac{1}{24} \cdot {x}^{2}\right)\\ \end{array}\]
\frac{1 - \cos x}{x \cdot x}
\begin{array}{l}
\mathbf{if}\;x \le -0.03054575583888737 \lor \neg \left(x \le 0.03411142251183559\right):\\
\;\;\;\;\frac{1}{x} \cdot \frac{e^{\log \left(1 - \cos x\right)}}{x}\\

\mathbf{else}:\\
\;\;\;\;\frac{1}{720} \cdot {x}^{4} + \left(\frac{1}{2} - \frac{1}{24} \cdot {x}^{2}\right)\\

\end{array}
double code(double x) {
	return ((double) (((double) (1.0 - ((double) cos(x)))) / ((double) (x * x))));
}
double code(double x) {
	double VAR;
	if (((x <= -0.03054575583888737) || !(x <= 0.03411142251183559))) {
		VAR = ((double) (((double) (1.0 / x)) * ((double) (((double) exp(((double) log(((double) (1.0 - ((double) cos(x)))))))) / x))));
	} else {
		VAR = ((double) (((double) (0.001388888888888889 * ((double) pow(x, 4.0)))) + ((double) (0.5 - ((double) (0.041666666666666664 * ((double) pow(x, 2.0))))))));
	}
	return VAR;
}

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 < -0.03054575583888737 or 0.03411142251183559 < x

    1. Initial program 1.0

      \[\frac{1 - \cos x}{x \cdot x}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity1.0

      \[\leadsto \frac{\color{blue}{1 \cdot \left(1 - \cos x\right)}}{x \cdot x}\]
    4. Applied times-frac0.5

      \[\leadsto \color{blue}{\frac{1}{x} \cdot \frac{1 - \cos x}{x}}\]
    5. Using strategy rm
    6. Applied add-exp-log0.5

      \[\leadsto \frac{1}{x} \cdot \frac{\color{blue}{e^{\log \left(1 - \cos x\right)}}}{x}\]

    if -0.03054575583888737 < x < 0.03411142251183559

    1. Initial program 62.2

      \[\frac{1 - \cos x}{x \cdot x}\]
    2. Taylor expanded around 0 0.0

      \[\leadsto \color{blue}{\left(\frac{1}{720} \cdot {x}^{4} + \frac{1}{2}\right) - \frac{1}{24} \cdot {x}^{2}}\]
    3. Using strategy rm
    4. Applied associate--l+0.0

      \[\leadsto \color{blue}{\frac{1}{720} \cdot {x}^{4} + \left(\frac{1}{2} - \frac{1}{24} \cdot {x}^{2}\right)}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \le -0.03054575583888737 \lor \neg \left(x \le 0.03411142251183559\right):\\ \;\;\;\;\frac{1}{x} \cdot \frac{e^{\log \left(1 - \cos x\right)}}{x}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{720} \cdot {x}^{4} + \left(\frac{1}{2} - \frac{1}{24} \cdot {x}^{2}\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2020114 
(FPCore (x)
  :name "cos2 (problem 3.4.1)"
  :precision binary64
  (/ (- 1 (cos x)) (* x x)))