\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\begin{array}{l}
\mathbf{if}\;b_2 \le -4.8621678288459276 \cdot 10^{80}:\\
\;\;\;\;\frac{-1}{2} \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \le -5.07965843072761894 \cdot 10^{-161}:\\
\;\;\;\;\frac{\frac{0 + a \cdot c}{\sqrt{b_2 \cdot b_2 - a \cdot c} - b_2}}{a}\\
\mathbf{elif}\;b_2 \le 1.2919983862558445 \cdot 10^{30}:\\
\;\;\;\;\frac{1}{\frac{a}{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{2} \cdot \frac{c}{b_2} - 2 \cdot \frac{b_2}{a}\\
\end{array}double code(double a, double b_2, double c) {
return ((-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a);
}
double code(double a, double b_2, double c) {
double VAR;
if ((b_2 <= -4.862167828845928e+80)) {
VAR = (-0.5 * (c / b_2));
} else {
double VAR_1;
if ((b_2 <= -5.079658430727619e-161)) {
VAR_1 = (((0.0 + (a * c)) / (sqrt(((b_2 * b_2) - (a * c))) - b_2)) / a);
} else {
double VAR_2;
if ((b_2 <= 1.2919983862558445e+30)) {
VAR_2 = (1.0 / (a / (-b_2 - sqrt(((b_2 * b_2) - (a * c))))));
} else {
VAR_2 = ((0.5 * (c / b_2)) - (2.0 * (b_2 / a)));
}
VAR_1 = VAR_2;
}
VAR = VAR_1;
}
return VAR;
}



Bits error versus a



Bits error versus b_2



Bits error versus c
Results
if b_2 < -4.862167828845928e+80Initial program 58.0
Taylor expanded around -inf 3.1
if -4.862167828845928e+80 < b_2 < -5.079658430727619e-161Initial program 36.9
rmApplied add-exp-log40.7
rmApplied flip--40.7
Simplified18.7
Simplified16.2
if -5.079658430727619e-161 < b_2 < 1.2919983862558445e+30Initial program 12.6
rmApplied clear-num12.7
if 1.2919983862558445e+30 < b_2 Initial program 34.2
Taylor expanded around inf 6.6
Final simplification9.7
herbie shell --seed 2020100 +o rules:numerics
(FPCore (a b_2 c)
:name "NMSE problem 3.2.1"
:precision binary64
(/ (- (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a))