Average Error: 13.5 → 0.2
Time: 1.0m
Precision: 64
Internal Precision: 896
\[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
↓
\[\begin{array}{l}
\mathbf{if}\;\frac{\frac{x}{e^{wj}}}{1 + wj} + \frac{{\left({wj}^{4}\right)}^{3} + {\left(\left(1 - wj\right) \cdot \left(wj \cdot wj\right)\right)}^{3}}{\left(\left(1 - wj\right) \cdot \left(wj \cdot wj\right)\right) \cdot \left(\left(1 - wj\right) \cdot \left(wj \cdot wj\right) - {wj}^{4}\right) + {wj}^{4} \cdot {wj}^{4}} \le 3.2733933496132436 \cdot 10^{-07}:\\
\;\;\;\;\frac{\frac{x}{e^{wj}}}{1 + wj} + \left({wj}^{4} + \left(1 - wj\right) \cdot \left(wj \cdot wj\right)\right)\\
\mathbf{if}\;\frac{\frac{x}{e^{wj}}}{1 + wj} + \frac{{\left({wj}^{4}\right)}^{3} + {\left(\left(1 - wj\right) \cdot \left(wj \cdot wj\right)\right)}^{3}}{\left(\left(1 - wj\right) \cdot \left(wj \cdot wj\right)\right) \cdot \left(\left(1 - wj\right) \cdot \left(wj \cdot wj\right) - {wj}^{4}\right) + {wj}^{4} \cdot {wj}^{4}} \le 3.5891781514450206 \cdot 10^{+85}:\\
\;\;\;\;wj - \left(\frac{wj}{wj + 1} - \frac{\frac{x}{1 + wj}}{e^{wj}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left({wj}^{2} + x\right) - 2 \cdot \left(wj \cdot x\right)\\
\end{array}\]
Target
| Original | 13.5 |
|---|
| Target | 13.0 |
|---|
| Herbie | 0.2 |
|---|
\[wj - \left(\frac{wj}{wj + 1} - \frac{x}{e^{wj} + wj \cdot e^{wj}}\right)\]
Derivation
- Split input into 3 regimes
if (+ (/ (/ x (exp wj)) (+ 1 wj)) (/ (+ (pow (pow wj 4) 3) (pow (* (- 1 wj) (* wj wj)) 3)) (+ (* (* (- 1 wj) (* wj wj)) (- (* (- 1 wj) (* wj wj)) (pow wj 4))) (* (pow wj 4) (pow wj 4))))) < 3.2733933496132436e-07
Initial program 31.1
\[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
- Using strategy
rm Applied div-sub31.1
\[\leadsto wj - \color{blue}{\left(\frac{wj \cdot e^{wj}}{e^{wj} + wj \cdot e^{wj}} - \frac{x}{e^{wj} + wj \cdot e^{wj}}\right)}\]
Applied associate--r-27.5
\[\leadsto \color{blue}{\left(wj - \frac{wj \cdot e^{wj}}{e^{wj} + wj \cdot e^{wj}}\right) + \frac{x}{e^{wj} + wj \cdot e^{wj}}}\]
Applied simplify27.4
\[\leadsto \color{blue}{\left(wj - \frac{wj}{1 + wj}\right)} + \frac{x}{e^{wj} + wj \cdot e^{wj}}\]
Taylor expanded around 0 0.3
\[\leadsto \color{blue}{\left(\left({wj}^{4} + {wj}^{2}\right) - {wj}^{3}\right)} + \frac{x}{e^{wj} + wj \cdot e^{wj}}\]
Applied simplify0.3
\[\leadsto \color{blue}{\frac{\frac{x}{e^{wj}}}{1 + wj} + \left({wj}^{4} + \left(1 - wj\right) \cdot \left(wj \cdot wj\right)\right)}\]
if 3.2733933496132436e-07 < (+ (/ (/ x (exp wj)) (+ 1 wj)) (/ (+ (pow (pow wj 4) 3) (pow (* (- 1 wj) (* wj wj)) 3)) (+ (* (* (- 1 wj) (* wj wj)) (- (* (- 1 wj) (* wj wj)) (pow wj 4))) (* (pow wj 4) (pow wj 4))))) < 3.5891781514450206e+85
Initial program 14.5
\[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
- Using strategy
rm Applied div-sub14.5
\[\leadsto wj - \color{blue}{\left(\frac{wj \cdot e^{wj}}{e^{wj} + wj \cdot e^{wj}} - \frac{x}{e^{wj} + wj \cdot e^{wj}}\right)}\]
Applied simplify0.4
\[\leadsto wj - \left(\color{blue}{\frac{wj}{wj + 1}} - \frac{x}{e^{wj} + wj \cdot e^{wj}}\right)\]
Applied simplify0.4
\[\leadsto wj - \left(\frac{wj}{wj + 1} - \color{blue}{\frac{\frac{x}{1 + wj}}{e^{wj}}}\right)\]
if 3.5891781514450206e+85 < (+ (/ (/ x (exp wj)) (+ 1 wj)) (/ (+ (pow (pow wj 4) 3) (pow (* (- 1 wj) (* wj wj)) 3)) (+ (* (* (- 1 wj) (* wj wj)) (- (* (- 1 wj) (* wj wj)) (pow wj 4))) (* (pow wj 4) (pow wj 4)))))
Initial program 9.2
\[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
Taylor expanded around 0 0.2
\[\leadsto \color{blue}{\left({wj}^{2} + x\right) - 2 \cdot \left(wj \cdot x\right)}\]
- Recombined 3 regimes into one program.
Runtime
herbie shell --seed '#(1070706311 3771791028 4128836681 4194990999 2341756049 504035650)'
(FPCore (wj x)
:name "Jmat.Real.lambertw, newton loop step"
:herbie-target
(- wj (- (/ wj (+ wj 1)) (/ x (+ (exp wj) (* wj (exp wj))))))
(- wj (/ (- (* wj (exp wj)) x) (+ (exp wj) (* wj (exp wj))))))