Average Error: 58.6 → 0.2
Time: 7.9s
Precision: binary64
Cost: 13632
\[\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)\]
\[\left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}\]
\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)
\left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}
(FPCore (eps) :precision binary64 (log (/ (- 1.0 eps) (+ 1.0 eps))))
(FPCore (eps)
 :precision binary64
 (-
  (- (* eps -2.0) (* (pow eps 3.0) 0.6666666666666666))
  (* 0.4 (pow eps 5.0))))
double code(double eps) {
	return log((1.0 - eps) / (1.0 + eps));
}
double code(double eps) {
	return ((eps * -2.0) - (pow(eps, 3.0) * 0.6666666666666666)) - (0.4 * pow(eps, 5.0));
}

Error

Bits error versus eps

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original58.6
Target0.2
Herbie0.2
\[-2 \cdot \left(\left(\varepsilon + \frac{{\varepsilon}^{3}}{3}\right) + \frac{{\varepsilon}^{5}}{5}\right)\]

Alternatives

Alternative 1
Error61.2
Cost45888
\[\left(\log \left(1 + \sqrt{\varepsilon}\right) + -2 \cdot \log \left(\sqrt[3]{1 + \varepsilon}\right)\right) + \log \left(\frac{1 - \sqrt{\varepsilon}}{\sqrt[3]{1 + \varepsilon}}\right)\]
Alternative 2
Error58.7
Cost45888
\[\left(2 \cdot \log \left(\sqrt[3]{1 - \varepsilon}\right) - \log \left(\sqrt{1 + \varepsilon}\right)\right) + \log \left(\frac{\sqrt[3]{1 - \varepsilon}}{\sqrt{1 + \varepsilon}}\right)\]
Alternative 3
Error58.6
Cost39872
\[\sqrt[3]{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)} \cdot \left(\sqrt[3]{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)} \cdot \sqrt[3]{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)}\right)\]
Alternative 4
Error61.3
Cost39616
\[\log \left(\frac{1 - \sqrt{\varepsilon}}{\sqrt[3]{1 + \varepsilon}} \cdot \frac{1 + \sqrt{\varepsilon}}{\sqrt[3]{1 + \varepsilon} \cdot \sqrt[3]{1 + \varepsilon}}\right)\]
Alternative 5
Error61.1
Cost39360
\[\log \left(\frac{1 + \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}}\right) + \log \left(\frac{1 - \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}}\right)\]
Alternative 6
Error61.3
Cost32960
\[\log \left(\frac{1 + \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}} \cdot \frac{1 - \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}}\right)\]
Alternative 7
Error58.6
Cost26560
\[\log \left(\sqrt{\frac{1 - \varepsilon}{1 + \varepsilon}}\right) + \log \left(\sqrt{\frac{1 - \varepsilon}{1 + \varepsilon}}\right)\]
Alternative 8
Error61.1
Cost26304
\[\log \left(1 + \sqrt{\varepsilon}\right) + \log \left(\frac{1 - \sqrt{\varepsilon}}{1 + \varepsilon}\right)\]
Alternative 9
Error58.6
Cost26304
\[\log \left(\frac{1 - \varepsilon}{\sqrt{1 + \varepsilon}}\right) - \log \left(\sqrt{1 + \varepsilon}\right)\]
Alternative 10
Error58.6
Cost26304
\[\log \left(\sqrt{1 - \varepsilon}\right) + \log \left(\frac{\sqrt{1 - \varepsilon}}{1 + \varepsilon}\right)\]
Alternative 11
Error58.6
Cost20224
\[\log \left(\frac{1 - \varepsilon}{1 + {\varepsilon}^{3}}\right) + \log \left(1 + \left(\varepsilon \cdot \varepsilon - \varepsilon\right)\right)\]
Alternative 12
Error61.3
Cost19904
\[\log \left(\left(1 + \sqrt{\varepsilon}\right) \cdot \frac{1 - \sqrt{\varepsilon}}{1 + \varepsilon}\right)\]
Alternative 13
Error58.6
Cost19712
\[\sqrt[3]{{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)}^{3}}\]
Alternative 14
Error59.6
Cost19648
\[e^{\log \log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)}\]
Alternative 15
Error58.6
Cost13632
\[\log \left(\frac{1 - \varepsilon}{1 - \varepsilon \cdot \varepsilon}\right) + \log \left(1 - \varepsilon\right)\]
Alternative 16
Error58.6
Cost13248
\[\log \left(1 - \varepsilon\right) - \log \left(1 + \varepsilon\right)\]
Alternative 17
Error0.2
Cost7424
\[\left(\varepsilon \cdot -2 - \left(\varepsilon \cdot \varepsilon\right) \cdot \left(\varepsilon \cdot 0.6666666666666666\right)\right) - 0.4 \cdot {\varepsilon}^{5}\]
Alternative 18
Error0.3
Cost6912
\[\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\]
Alternative 19
Error58.6
Cost6848
\[\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)\]
Alternative 20
Error0.7
Cost192
\[\varepsilon \cdot -2\]
Alternative 21
Error61.5
Cost64
\[1\]
Alternative 22
Error60.6
Cost64
\[0\]
Alternative 23
Error61.5
Cost64
\[-1\]

Error

Derivation

  1. Initial program 58.6

    \[\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)\]
  2. Taylor expanded around 0 0.2

    \[\leadsto \color{blue}{-\left(0.4 \cdot {\varepsilon}^{5} + \left(2 \cdot \varepsilon + 0.6666666666666666 \cdot {\varepsilon}^{3}\right)\right)}\]
  3. Simplified0.2

    \[\leadsto \color{blue}{\left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}}\]
  4. Simplified0.2

    \[\leadsto \color{blue}{\left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}}\]
  5. Final simplification0.2

    \[\leadsto \left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}\]

Reproduce

herbie shell --seed 2021022 
(FPCore (eps)
  :name "logq (problem 3.4.3)"
  :precision binary64

  :herbie-target
  (* -2.0 (+ (+ eps (/ (pow eps 3.0) 3.0)) (/ (pow eps 5.0) 5.0)))

  (log (/ (- 1.0 eps) (+ 1.0 eps))))