Average Error: 32.8 → 10.3
Time: 20.8s
Precision: 64
\[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\]
\[\begin{array}{l} \mathbf{if}\;b_2 \le -1.6239127264630285 \cdot 10^{-63}:\\ \;\;\;\;\frac{-1}{2} \cdot \frac{c}{b_2}\\ \mathbf{elif}\;b_2 \le 7.052614559736995 \cdot 10^{+62}:\\ \;\;\;\;\frac{1}{a} \cdot \left(\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - c \cdot a}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{b_2}{a}, -2, \frac{\frac{c}{b_2}}{2}\right)\\ \end{array}\]
\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\begin{array}{l}
\mathbf{if}\;b_2 \le -1.6239127264630285 \cdot 10^{-63}:\\
\;\;\;\;\frac{-1}{2} \cdot \frac{c}{b_2}\\

\mathbf{elif}\;b_2 \le 7.052614559736995 \cdot 10^{+62}:\\
\;\;\;\;\frac{1}{a} \cdot \left(\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - c \cdot a}\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{b_2}{a}, -2, \frac{\frac{c}{b_2}}{2}\right)\\

\end{array}
double f(double a, double b_2, double c) {
        double r3055611 = b_2;
        double r3055612 = -r3055611;
        double r3055613 = r3055611 * r3055611;
        double r3055614 = a;
        double r3055615 = c;
        double r3055616 = r3055614 * r3055615;
        double r3055617 = r3055613 - r3055616;
        double r3055618 = sqrt(r3055617);
        double r3055619 = r3055612 - r3055618;
        double r3055620 = r3055619 / r3055614;
        return r3055620;
}

double f(double a, double b_2, double c) {
        double r3055621 = b_2;
        double r3055622 = -1.6239127264630285e-63;
        bool r3055623 = r3055621 <= r3055622;
        double r3055624 = -0.5;
        double r3055625 = c;
        double r3055626 = r3055625 / r3055621;
        double r3055627 = r3055624 * r3055626;
        double r3055628 = 7.052614559736995e+62;
        bool r3055629 = r3055621 <= r3055628;
        double r3055630 = 1.0;
        double r3055631 = a;
        double r3055632 = r3055630 / r3055631;
        double r3055633 = -r3055621;
        double r3055634 = r3055621 * r3055621;
        double r3055635 = r3055625 * r3055631;
        double r3055636 = r3055634 - r3055635;
        double r3055637 = sqrt(r3055636);
        double r3055638 = r3055633 - r3055637;
        double r3055639 = r3055632 * r3055638;
        double r3055640 = r3055621 / r3055631;
        double r3055641 = -2.0;
        double r3055642 = 2.0;
        double r3055643 = r3055626 / r3055642;
        double r3055644 = fma(r3055640, r3055641, r3055643);
        double r3055645 = r3055629 ? r3055639 : r3055644;
        double r3055646 = r3055623 ? r3055627 : r3055645;
        return r3055646;
}

Error

Bits error versus a

Bits error versus b_2

Bits error versus c

Derivation

  1. Split input into 3 regimes
  2. if b_2 < -1.6239127264630285e-63

    1. Initial program 52.2

      \[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\]
    2. Taylor expanded around -inf 8.6

      \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{c}{b_2}}\]

    if -1.6239127264630285e-63 < b_2 < 7.052614559736995e+62

    1. Initial program 13.9

      \[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\]
    2. Using strategy rm
    3. Applied clear-num14.0

      \[\leadsto \color{blue}{\frac{1}{\frac{a}{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}}}\]
    4. Using strategy rm
    5. Applied div-inv14.1

      \[\leadsto \frac{1}{\color{blue}{a \cdot \frac{1}{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}}}\]
    6. Applied add-cube-cbrt14.1

      \[\leadsto \frac{\color{blue}{\left(\sqrt[3]{1} \cdot \sqrt[3]{1}\right) \cdot \sqrt[3]{1}}}{a \cdot \frac{1}{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}}\]
    7. Applied times-frac14.1

      \[\leadsto \color{blue}{\frac{\sqrt[3]{1} \cdot \sqrt[3]{1}}{a} \cdot \frac{\sqrt[3]{1}}{\frac{1}{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}}}\]
    8. Simplified14.1

      \[\leadsto \color{blue}{\frac{1}{a}} \cdot \frac{\sqrt[3]{1}}{\frac{1}{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}}\]
    9. Simplified14.0

      \[\leadsto \frac{1}{a} \cdot \color{blue}{\left(\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}\right)}\]

    if 7.052614559736995e+62 < b_2

    1. Initial program 38.0

      \[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\]
    2. Taylor expanded around inf 4.6

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c}{b_2} - 2 \cdot \frac{b_2}{a}}\]
    3. Simplified4.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{b_2}{a}, -2, \frac{\frac{c}{b_2}}{2}\right)}\]
  3. Recombined 3 regimes into one program.
  4. Final simplification10.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;b_2 \le -1.6239127264630285 \cdot 10^{-63}:\\ \;\;\;\;\frac{-1}{2} \cdot \frac{c}{b_2}\\ \mathbf{elif}\;b_2 \le 7.052614559736995 \cdot 10^{+62}:\\ \;\;\;\;\frac{1}{a} \cdot \left(\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - c \cdot a}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{b_2}{a}, -2, \frac{\frac{c}{b_2}}{2}\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2019158 +o rules:numerics
(FPCore (a b_2 c)
  :name "NMSE problem 3.2.1"
  (/ (- (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a))