\[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.2 \cdot 10^{-71}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 3.9 \cdot 10^{+111}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 + \mathsf{fma}\left(a, -c, \mathsf{fma}\left(a, -c, c \cdot a\right)\right)}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + \frac{c}{b_2} \cdot 0.5\\
\end{array}
\]
(FPCore (a b_2 c)
:precision binary64
(/ (- (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a))
↓
(FPCore (a b_2 c)
:precision binary64
(if (<= b_2 -1.2e-71)
(* -0.5 (/ c b_2))
(if (<= b_2 3.9e+111)
(/
(- (- b_2) (sqrt (+ (* b_2 b_2) (fma a (- c) (fma a (- c) (* c a))))))
a)
(+ (* -2.0 (/ b_2 a)) (* (/ c b_2) 0.5)))))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 tmp;
if (b_2 <= -1.2e-71) {
tmp = -0.5 * (c / b_2);
} else if (b_2 <= 3.9e+111) {
tmp = (-b_2 - sqrt(((b_2 * b_2) + fma(a, -c, fma(a, -c, (c * a)))))) / a;
} else {
tmp = (-2.0 * (b_2 / a)) + ((c / b_2) * 0.5);
}
return tmp;
}
function code(a, b_2, c)
return Float64(Float64(Float64(-b_2) - sqrt(Float64(Float64(b_2 * b_2) - Float64(a * c)))) / a)
end
↓
function code(a, b_2, c)
tmp = 0.0
if (b_2 <= -1.2e-71)
tmp = Float64(-0.5 * Float64(c / b_2));
elseif (b_2 <= 3.9e+111)
tmp = Float64(Float64(Float64(-b_2) - sqrt(Float64(Float64(b_2 * b_2) + fma(a, Float64(-c), fma(a, Float64(-c), Float64(c * a)))))) / a);
else
tmp = Float64(Float64(-2.0 * Float64(b_2 / a)) + Float64(Float64(c / b_2) * 0.5));
end
return tmp
end
code[a_, b$95$2_, c_] := N[(N[((-b$95$2) - N[Sqrt[N[(N[(b$95$2 * b$95$2), $MachinePrecision] - N[(a * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision]
↓
code[a_, b$95$2_, c_] := If[LessEqual[b$95$2, -1.2e-71], N[(-0.5 * N[(c / b$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[b$95$2, 3.9e+111], N[(N[((-b$95$2) - N[Sqrt[N[(N[(b$95$2 * b$95$2), $MachinePrecision] + N[(a * (-c) + N[(a * (-c) + N[(c * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision], N[(N[(-2.0 * N[(b$95$2 / a), $MachinePrecision]), $MachinePrecision] + N[(N[(c / b$95$2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]]]
\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
↓
\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.2 \cdot 10^{-71}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 3.9 \cdot 10^{+111}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 + \mathsf{fma}\left(a, -c, \mathsf{fma}\left(a, -c, c \cdot a\right)\right)}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + \frac{c}{b_2} \cdot 0.5\\
\end{array}
Alternatives
| Alternative 1 |
|---|
| Error | 9.4 |
|---|
| Cost | 7432 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.2 \cdot 10^{-71}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 3.9 \cdot 10^{+111}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - c \cdot a}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + \frac{c}{b_2} \cdot 0.5\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 12.6 |
|---|
| Cost | 7240 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.2 \cdot 10^{-71}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 8.2 \cdot 10^{-97}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{c \cdot \left(-a\right)}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + \frac{c}{b_2} \cdot 0.5\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 12.8 |
|---|
| Cost | 7112 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.2 \cdot 10^{-71}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 8.2 \cdot 10^{-97}:\\
\;\;\;\;\frac{-\sqrt{c \cdot \left(-a\right)}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + \frac{c}{b_2} \cdot 0.5\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 22.4 |
|---|
| Cost | 836 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -2.1 \cdot 10^{-300}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + \frac{c}{b_2} \cdot 0.5\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 36.1 |
|---|
| Cost | 452 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -3.05 \cdot 10^{-279}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{-b_2}{a}\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 22.5 |
|---|
| Cost | 452 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -3.05 \cdot 10^{-279}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;b_2 \cdot \frac{-2}{a}\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 22.4 |
|---|
| Cost | 452 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -3.05 \cdot 10^{-279}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\end{array}
\]
| Alternative 8 |
|---|
| Error | 53.2 |
|---|
| Cost | 388 |
|---|
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -6 \cdot 10^{-300}:\\
\;\;\;\;\frac{0}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-b_2}{a}\\
\end{array}
\]
| Alternative 9 |
|---|
| Error | 56.2 |
|---|
| Cost | 192 |
|---|
\[\frac{0}{a}
\]