Average Error: 14.0 → 1.0
Time: 26.6s
Precision: 64
\[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
\[\begin{array}{l} \mathbf{if}\;wj \le 8.976401343690175460051364946315044512914 \cdot 10^{-9}:\\ \;\;\;\;x + wj \cdot \left(wj - 2 \cdot x\right)\\ \mathbf{else}:\\ \;\;\;\;wj - \frac{1}{\sqrt{wj + 1}} \cdot \frac{wj - \frac{x}{e^{wj}}}{\sqrt{wj + 1}}\\ \end{array}\]
wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}
\begin{array}{l}
\mathbf{if}\;wj \le 8.976401343690175460051364946315044512914 \cdot 10^{-9}:\\
\;\;\;\;x + wj \cdot \left(wj - 2 \cdot x\right)\\

\mathbf{else}:\\
\;\;\;\;wj - \frac{1}{\sqrt{wj + 1}} \cdot \frac{wj - \frac{x}{e^{wj}}}{\sqrt{wj + 1}}\\

\end{array}
double f(double wj, double x) {
        double r237706 = wj;
        double r237707 = exp(r237706);
        double r237708 = r237706 * r237707;
        double r237709 = x;
        double r237710 = r237708 - r237709;
        double r237711 = r237707 + r237708;
        double r237712 = r237710 / r237711;
        double r237713 = r237706 - r237712;
        return r237713;
}

double f(double wj, double x) {
        double r237714 = wj;
        double r237715 = 8.976401343690175e-09;
        bool r237716 = r237714 <= r237715;
        double r237717 = x;
        double r237718 = 2.0;
        double r237719 = r237718 * r237717;
        double r237720 = r237714 - r237719;
        double r237721 = r237714 * r237720;
        double r237722 = r237717 + r237721;
        double r237723 = 1.0;
        double r237724 = r237714 + r237723;
        double r237725 = sqrt(r237724);
        double r237726 = r237723 / r237725;
        double r237727 = exp(r237714);
        double r237728 = r237717 / r237727;
        double r237729 = r237714 - r237728;
        double r237730 = r237729 / r237725;
        double r237731 = r237726 * r237730;
        double r237732 = r237714 - r237731;
        double r237733 = r237716 ? r237722 : r237732;
        return r237733;
}

Error

Bits error versus wj

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original14.0
Target13.4
Herbie1.0
\[wj - \left(\frac{wj}{wj + 1} - \frac{x}{e^{wj} + wj \cdot e^{wj}}\right)\]

Derivation

  1. Split input into 2 regimes
  2. if wj < 8.976401343690175e-09

    1. Initial program 13.6

      \[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
    2. Simplified13.6

      \[\leadsto \color{blue}{wj - \frac{wj - \frac{x}{e^{wj}}}{wj + 1}}\]
    3. Taylor expanded around 0 0.8

      \[\leadsto \color{blue}{\left(x + {wj}^{2}\right) - 2 \cdot \left(wj \cdot x\right)}\]
    4. Simplified0.9

      \[\leadsto \color{blue}{x + wj \cdot \left(wj - 2 \cdot x\right)}\]

    if 8.976401343690175e-09 < wj

    1. Initial program 26.6

      \[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\]
    2. Simplified3.8

      \[\leadsto \color{blue}{wj - \frac{wj - \frac{x}{e^{wj}}}{wj + 1}}\]
    3. Using strategy rm
    4. Applied clear-num3.9

      \[\leadsto wj - \color{blue}{\frac{1}{\frac{wj + 1}{wj - \frac{x}{e^{wj}}}}}\]
    5. Using strategy rm
    6. Applied *-un-lft-identity3.9

      \[\leadsto wj - \frac{1}{\frac{wj + 1}{\color{blue}{1 \cdot \left(wj - \frac{x}{e^{wj}}\right)}}}\]
    7. Applied add-sqr-sqrt4.3

      \[\leadsto wj - \frac{1}{\frac{\color{blue}{\sqrt{wj + 1} \cdot \sqrt{wj + 1}}}{1 \cdot \left(wj - \frac{x}{e^{wj}}\right)}}\]
    8. Applied times-frac4.2

      \[\leadsto wj - \frac{1}{\color{blue}{\frac{\sqrt{wj + 1}}{1} \cdot \frac{\sqrt{wj + 1}}{wj - \frac{x}{e^{wj}}}}}\]
    9. Applied add-cube-cbrt4.2

      \[\leadsto wj - \frac{\color{blue}{\left(\sqrt[3]{1} \cdot \sqrt[3]{1}\right) \cdot \sqrt[3]{1}}}{\frac{\sqrt{wj + 1}}{1} \cdot \frac{\sqrt{wj + 1}}{wj - \frac{x}{e^{wj}}}}\]
    10. Applied times-frac4.2

      \[\leadsto wj - \color{blue}{\frac{\sqrt[3]{1} \cdot \sqrt[3]{1}}{\frac{\sqrt{wj + 1}}{1}} \cdot \frac{\sqrt[3]{1}}{\frac{\sqrt{wj + 1}}{wj - \frac{x}{e^{wj}}}}}\]
    11. Simplified4.2

      \[\leadsto wj - \color{blue}{\frac{1}{\sqrt{wj + 1}}} \cdot \frac{\sqrt[3]{1}}{\frac{\sqrt{wj + 1}}{wj - \frac{x}{e^{wj}}}}\]
    12. Simplified4.3

      \[\leadsto wj - \frac{1}{\sqrt{wj + 1}} \cdot \color{blue}{\frac{wj - \frac{x}{e^{wj}}}{\sqrt{wj + 1}}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification1.0

    \[\leadsto \begin{array}{l} \mathbf{if}\;wj \le 8.976401343690175460051364946315044512914 \cdot 10^{-9}:\\ \;\;\;\;x + wj \cdot \left(wj - 2 \cdot x\right)\\ \mathbf{else}:\\ \;\;\;\;wj - \frac{1}{\sqrt{wj + 1}} \cdot \frac{wj - \frac{x}{e^{wj}}}{\sqrt{wj + 1}}\\ \end{array}\]

Reproduce

herbie shell --seed 2019326 
(FPCore (wj x)
  :name "Jmat.Real.lambertw, newton loop step"
  :precision binary64

  :herbie-target
  (- wj (- (/ wj (+ wj 1)) (/ x (+ (exp wj) (* wj (exp wj))))))

  (- wj (/ (- (* wj (exp wj)) x) (+ (exp wj) (* wj (exp wj))))))