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));
}
Try it out
Enter valid numbers for all inputs
Target
| Original | 58.6 |
|---|
| Target | 0.2 |
|---|
| Herbie | 0.2 |
|---|
\[-2 \cdot \left(\left(\varepsilon + \frac{{\varepsilon}^{3}}{3}\right) + \frac{{\varepsilon}^{5}}{5}\right)\]
Alternatives
| Alternative 1 |
|---|
| Error | 61.2 |
|---|
| Cost | 45888 |
|---|
\[\left(\log \left(1 + \sqrt{\varepsilon}\right) + -2 \cdot \log \left(\sqrt[3]{1 + \varepsilon}\right)\right) + \log \left(\frac{1 - \sqrt{\varepsilon}}{\sqrt[3]{1 + \varepsilon}}\right)\]
| Alternative 2 |
|---|
| Error | 58.7 |
|---|
| Cost | 45888 |
|---|
\[\left(2 \cdot \log \left(\sqrt[3]{1 - \varepsilon}\right) - \log \left(\sqrt{1 + \varepsilon}\right)\right) + \log \left(\frac{\sqrt[3]{1 - \varepsilon}}{\sqrt{1 + \varepsilon}}\right)\]
| Alternative 3 |
|---|
| Error | 58.6 |
|---|
| Cost | 39872 |
|---|
\[\sqrt[3]{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)} \cdot \left(\sqrt[3]{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)} \cdot \sqrt[3]{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)}\right)\]
| Alternative 4 |
|---|
| Error | 61.3 |
|---|
| Cost | 39616 |
|---|
\[\log \left(\frac{1 - \sqrt{\varepsilon}}{\sqrt[3]{1 + \varepsilon}} \cdot \frac{1 + \sqrt{\varepsilon}}{\sqrt[3]{1 + \varepsilon} \cdot \sqrt[3]{1 + \varepsilon}}\right)\]
| Alternative 5 |
|---|
| Error | 61.1 |
|---|
| Cost | 39360 |
|---|
\[\log \left(\frac{1 + \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}}\right) + \log \left(\frac{1 - \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}}\right)\]
| Alternative 6 |
|---|
| Error | 61.3 |
|---|
| Cost | 32960 |
|---|
\[\log \left(\frac{1 + \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}} \cdot \frac{1 - \sqrt{\varepsilon}}{\sqrt{1 + \varepsilon}}\right)\]
| Alternative 7 |
|---|
| Error | 58.6 |
|---|
| Cost | 26560 |
|---|
\[\log \left(\sqrt{\frac{1 - \varepsilon}{1 + \varepsilon}}\right) + \log \left(\sqrt{\frac{1 - \varepsilon}{1 + \varepsilon}}\right)\]
| Alternative 8 |
|---|
| Error | 61.1 |
|---|
| Cost | 26304 |
|---|
\[\log \left(1 + \sqrt{\varepsilon}\right) + \log \left(\frac{1 - \sqrt{\varepsilon}}{1 + \varepsilon}\right)\]
| Alternative 9 |
|---|
| Error | 58.6 |
|---|
| Cost | 26304 |
|---|
\[\log \left(\frac{1 - \varepsilon}{\sqrt{1 + \varepsilon}}\right) - \log \left(\sqrt{1 + \varepsilon}\right)\]
| Alternative 10 |
|---|
| Error | 58.6 |
|---|
| Cost | 26304 |
|---|
\[\log \left(\sqrt{1 - \varepsilon}\right) + \log \left(\frac{\sqrt{1 - \varepsilon}}{1 + \varepsilon}\right)\]
| Alternative 11 |
|---|
| Error | 58.6 |
|---|
| Cost | 20224 |
|---|
\[\log \left(\frac{1 - \varepsilon}{1 + {\varepsilon}^{3}}\right) + \log \left(1 + \left(\varepsilon \cdot \varepsilon - \varepsilon\right)\right)\]
| Alternative 12 |
|---|
| Error | 61.3 |
|---|
| Cost | 19904 |
|---|
\[\log \left(\left(1 + \sqrt{\varepsilon}\right) \cdot \frac{1 - \sqrt{\varepsilon}}{1 + \varepsilon}\right)\]
| Alternative 13 |
|---|
| Error | 58.6 |
|---|
| Cost | 19712 |
|---|
\[\sqrt[3]{{\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)}^{3}}\]
| Alternative 14 |
|---|
| Error | 59.6 |
|---|
| Cost | 19648 |
|---|
\[e^{\log \log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)}\]
| Alternative 15 |
|---|
| Error | 58.6 |
|---|
| Cost | 13632 |
|---|
\[\log \left(\frac{1 - \varepsilon}{1 - \varepsilon \cdot \varepsilon}\right) + \log \left(1 - \varepsilon\right)\]
| Alternative 16 |
|---|
| Error | 58.6 |
|---|
| Cost | 13248 |
|---|
\[\log \left(1 - \varepsilon\right) - \log \left(1 + \varepsilon\right)\]
| Alternative 17 |
|---|
| Error | 0.2 |
|---|
| Cost | 7424 |
|---|
\[\left(\varepsilon \cdot -2 - \left(\varepsilon \cdot \varepsilon\right) \cdot \left(\varepsilon \cdot 0.6666666666666666\right)\right) - 0.4 \cdot {\varepsilon}^{5}\]
| Alternative 18 |
|---|
| Error | 0.3 |
|---|
| Cost | 6912 |
|---|
\[\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\]
| Alternative 19 |
|---|
| Error | 58.6 |
|---|
| Cost | 6848 |
|---|
\[\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)\]
| Alternative 20 |
|---|
| Error | 0.7 |
|---|
| Cost | 192 |
|---|
\[\varepsilon \cdot -2\]
| Alternative 21 |
|---|
| Error | 61.5 |
|---|
| Cost | 64 |
|---|
\[1\]
| Alternative 22 |
|---|
| Error | 60.6 |
|---|
| Cost | 64 |
|---|
\[0\]
| Alternative 23 |
|---|
| Error | 61.5 |
|---|
| Cost | 64 |
|---|
\[-1\]
Error

Derivation
Initial program 58.6
\[\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)\]
Taylor expanded around 0 0.2
\[\leadsto \color{blue}{-\left(0.4 \cdot {\varepsilon}^{5} + \left(2 \cdot \varepsilon + 0.6666666666666666 \cdot {\varepsilon}^{3}\right)\right)}\]
Simplified0.2
\[\leadsto \color{blue}{\left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}}\]
Simplified0.2
\[\leadsto \color{blue}{\left(\varepsilon \cdot -2 - {\varepsilon}^{3} \cdot 0.6666666666666666\right) - 0.4 \cdot {\varepsilon}^{5}}\]
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))))