Average Error: 31.6 → 0.3
Time: 3.0s
Precision: 64
\[\frac{1 - \cos x}{x \cdot x}\]
↓
\[\begin{array}{l} \mathbf{if}\;x \le -0.03299151901246776:\\ \;\;\;\;\frac{\left(1 - \cos x\right) \cdot \frac{1}{x}}{x}\\ \mathbf{elif}\;x \le 0.032971011098790887:\\ \;\;\;\;\frac{1}{2} + \left(\frac{1}{720} \cdot {x}^{4} - \frac{1}{24} \cdot {x}^{2}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{1}{x} - \frac{\cos x}{x}}{x}\\ \end{array}\]
\frac{1 - \cos x}{x \cdot x}
↓
\begin{array}{l}
\mathbf{if}\;x \le -0.03299151901246776:\\
\;\;\;\;\frac{\left(1 - \cos x\right) \cdot \frac{1}{x}}{x}\\

\mathbf{elif}\;x \le 0.032971011098790887:\\
\;\;\;\;\frac{1}{2} + \left(\frac{1}{720} \cdot {x}^{4} - \frac{1}{24} \cdot {x}^{2}\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{\frac{1}{x} - \frac{\cos x}{x}}{x}\\

\end{array}
double code(double x) {
	return ((1.0 - cos(x)) / (x * x));
}
↓
double code(double x) {
	double VAR;
	if ((x <= -0.03299151901246776)) {
		VAR = (((1.0 - cos(x)) * (1.0 / x)) / x);
	} else {
		double VAR_1;
		if ((x <= 0.03297101109879089)) {
			VAR_1 = (0.5 + ((0.001388888888888889 * pow(x, 4.0)) - (0.041666666666666664 * pow(x, 2.0))));
		} else {
			VAR_1 = (((1.0 / x) - (cos(x) / x)) / x);
		}
		VAR = VAR_1;
	}
	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 3 regimes

  2. if x < -0.03299151901246776

    1. Initial program 0.9

      \[\frac{1 - \cos x}{x \cdot x}\]
    2. Using strategy rm

    3. Applied associate-/r*0.4

      \[\leadsto \color{blue}{\frac{\frac{1 - \cos x}{x}}{x}}\]
    4. Using strategy rm

    5. Applied div-inv0.5

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

    if -0.03299151901246776 < x < 0.03297101109879089

    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 +-commutative0.0

      \[\leadsto \color{blue}{\left(\frac{1}{2} + \frac{1}{720} \cdot {x}^{4}\right)} - \frac{1}{24} \cdot {x}^{2}\]

    5. Applied associate--l+0.0

      \[\leadsto \color{blue}{\frac{1}{2} + \left(\frac{1}{720} \cdot {x}^{4} - \frac{1}{24} \cdot {x}^{2}\right)}\]

    if 0.03297101109879089 < x

    1. Initial program 1.0

      \[\frac{1 - \cos x}{x \cdot x}\]
    2. Using strategy rm

    3. Applied associate-/r*0.5

      \[\leadsto \color{blue}{\frac{\frac{1 - \cos x}{x}}{x}}\]
    4. Using strategy rm

    5. Applied div-sub0.6

      \[\leadsto \frac{\color{blue}{\frac{1}{x} - \frac{\cos x}{x}}}{x}\]
  3. Recombined 3 regimes into one program.

  4. Final simplification0.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \le -0.03299151901246776:\\ \;\;\;\;\frac{\left(1 - \cos x\right) \cdot \frac{1}{x}}{x}\\ \mathbf{elif}\;x \le 0.032971011098790887:\\ \;\;\;\;\frac{1}{2} + \left(\frac{1}{720} \cdot {x}^{4} - \frac{1}{24} \cdot {x}^{2}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{1}{x} - \frac{\cos x}{x}}{x}\\ \end{array}\]

Reproduce

herbie shell --seed 2020071 
(FPCore (x)
  :name "cos2 (problem 3.4.1)"
  :precision binary64
  (/ (- 1 (cos x)) (* x x)))