Average Error: 31.8 → 0.3
Time: 4.1s
Precision: 64
\[\frac{1 - \cos x}{x \cdot x}\]
↓
\[\begin{array}{l} \mathbf{if}\;x \le -0.0349430473850340859:\\ \;\;\;\;\frac{\frac{1}{x} - \cos x \cdot \frac{1}{x}}{x}\\ \mathbf{elif}\;x \le 0.029021184668687444:\\ \;\;\;\;\left(\frac{1}{720} \cdot {x}^{4} + \frac{1}{2}\right) - \frac{1}{24} \cdot {x}^{2}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\log \left(e^{1 - \cos x}\right)}{x}}{x}\\ \end{array}\]
\frac{1 - \cos x}{x \cdot x}
↓
\begin{array}{l}
\mathbf{if}\;x \le -0.0349430473850340859:\\
\;\;\;\;\frac{\frac{1}{x} - \cos x \cdot \frac{1}{x}}{x}\\

\mathbf{elif}\;x \le 0.029021184668687444:\\
\;\;\;\;\left(\frac{1}{720} \cdot {x}^{4} + \frac{1}{2}\right) - \frac{1}{24} \cdot {x}^{2}\\

\mathbf{else}:\\
\;\;\;\;\frac{\frac{\log \left(e^{1 - \cos x}\right)}{x}}{x}\\

\end{array}
double code(double x) {
	return ((1.0 - cos(x)) / (x * x));
}
↓
double code(double x) {
	double temp;
	if ((x <= -0.034943047385034086)) {
		temp = (((1.0 / x) - (cos(x) * (1.0 / x))) / x);
	} else {
		double temp_1;
		if ((x <= 0.029021184668687444)) {
			temp_1 = (((0.001388888888888889 * pow(x, 4.0)) + 0.5) - (0.041666666666666664 * pow(x, 2.0)));
		} else {
			temp_1 = ((log(exp((1.0 - cos(x)))) / x) / x);
		}
		temp = temp_1;
	}
	return temp;
}

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 < -0.034943047385034086

    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

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

    7. Applied div-inv0.6

      \[\leadsto \frac{\frac{1}{x} - \color{blue}{\cos x \cdot \frac{1}{x}}}{x}\]

    if -0.034943047385034086 < x < 0.029021184668687444

    1. Initial program 62.1

      \[\frac{1 - \cos x}{x \cdot x}\]

    2. Taylor expanded around 0 0.0

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

    if 0.029021184668687444 < 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 add-log-exp0.6

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

    6. Applied add-log-exp0.6

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

    7. Applied diff-log0.6

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

    8. Simplified0.6

      \[\leadsto \frac{\frac{\log \color{blue}{\left(e^{1 - \cos x}\right)}}{x}}{x}\]
  3. Recombined 3 regimes into one program.

  4. Final simplification0.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \le -0.0349430473850340859:\\ \;\;\;\;\frac{\frac{1}{x} - \cos x \cdot \frac{1}{x}}{x}\\ \mathbf{elif}\;x \le 0.029021184668687444:\\ \;\;\;\;\left(\frac{1}{720} \cdot {x}^{4} + \frac{1}{2}\right) - \frac{1}{24} \cdot {x}^{2}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\log \left(e^{1 - \cos x}\right)}{x}}{x}\\ \end{array}\]

Reproduce

herbie shell --seed 2020053 
(FPCore (x)
  :name "cos2 (problem 3.4.1)"
  :precision binary64
  (/ (- 1 (cos x)) (* x x)))