Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -8.6 \cdot 10^{-132}:\\
\;\;\;\;\frac{-0.5 \cdot c}{b_2}\\
\mathbf{elif}\;b_2 \leq 1.5 \cdot 10^{+81}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - c \cdot a}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
(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 -8.6e-132)
(/ (* -0.5 c) b_2)
(if (<= b_2 1.5e+81)
(/ (- (- b_2) (sqrt (- (* b_2 b_2) (* c a)))) a)
(+ (* -2.0 (/ b_2 a)) (* 0.5 (/ c b_2)))))) 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 <= -8.6e-132) {
tmp = (-0.5 * c) / b_2;
} else if (b_2 <= 1.5e+81) {
tmp = (-b_2 - sqrt(((b_2 * b_2) - (c * a)))) / a;
} else {
tmp = (-2.0 * (b_2 / a)) + (0.5 * (c / b_2));
}
return tmp;
}
real(8) function code(a, b_2, c)
real(8), intent (in) :: a
real(8), intent (in) :: b_2
real(8), intent (in) :: c
code = (-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a
end function
↓
real(8) function code(a, b_2, c)
real(8), intent (in) :: a
real(8), intent (in) :: b_2
real(8), intent (in) :: c
real(8) :: tmp
if (b_2 <= (-8.6d-132)) then
tmp = ((-0.5d0) * c) / b_2
else if (b_2 <= 1.5d+81) then
tmp = (-b_2 - sqrt(((b_2 * b_2) - (c * a)))) / a
else
tmp = ((-2.0d0) * (b_2 / a)) + (0.5d0 * (c / b_2))
end if
code = tmp
end function
public static double code(double a, double b_2, double c) {
return (-b_2 - Math.sqrt(((b_2 * b_2) - (a * c)))) / a;
}
↓
public static double code(double a, double b_2, double c) {
double tmp;
if (b_2 <= -8.6e-132) {
tmp = (-0.5 * c) / b_2;
} else if (b_2 <= 1.5e+81) {
tmp = (-b_2 - Math.sqrt(((b_2 * b_2) - (c * a)))) / a;
} else {
tmp = (-2.0 * (b_2 / a)) + (0.5 * (c / b_2));
}
return tmp;
}
def code(a, b_2, c):
return (-b_2 - math.sqrt(((b_2 * b_2) - (a * c)))) / a
↓
def code(a, b_2, c):
tmp = 0
if b_2 <= -8.6e-132:
tmp = (-0.5 * c) / b_2
elif b_2 <= 1.5e+81:
tmp = (-b_2 - math.sqrt(((b_2 * b_2) - (c * a)))) / a
else:
tmp = (-2.0 * (b_2 / a)) + (0.5 * (c / b_2))
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 <= -8.6e-132)
tmp = Float64(Float64(-0.5 * c) / b_2);
elseif (b_2 <= 1.5e+81)
tmp = Float64(Float64(Float64(-b_2) - sqrt(Float64(Float64(b_2 * b_2) - Float64(c * a)))) / a);
else
tmp = Float64(Float64(-2.0 * Float64(b_2 / a)) + Float64(0.5 * Float64(c / b_2)));
end
return tmp
end
function tmp = code(a, b_2, c)
tmp = (-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a;
end
↓
function tmp_2 = code(a, b_2, c)
tmp = 0.0;
if (b_2 <= -8.6e-132)
tmp = (-0.5 * c) / b_2;
elseif (b_2 <= 1.5e+81)
tmp = (-b_2 - sqrt(((b_2 * b_2) - (c * a)))) / a;
else
tmp = (-2.0 * (b_2 / a)) + (0.5 * (c / b_2));
end
tmp_2 = 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, -8.6e-132], N[(N[(-0.5 * c), $MachinePrecision] / b$95$2), $MachinePrecision], If[LessEqual[b$95$2, 1.5e+81], N[(N[((-b$95$2) - N[Sqrt[N[(N[(b$95$2 * b$95$2), $MachinePrecision] - N[(c * a), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision], N[(N[(-2.0 * N[(b$95$2 / a), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(c / b$95$2), $MachinePrecision]), $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 -8.6 \cdot 10^{-132}:\\
\;\;\;\;\frac{-0.5 \cdot c}{b_2}\\
\mathbf{elif}\;b_2 \leq 1.5 \cdot 10^{+81}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - c \cdot a}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\end{array}
Alternatives Alternative 1 Error 13.7 Cost 7240
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -8.6 \cdot 10^{-132}:\\
\;\;\;\;\frac{-0.5 \cdot c}{b_2}\\
\mathbf{elif}\;b_2 \leq 3.8 \cdot 10^{-116}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{c \cdot \left(-a\right)}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 2 Error 13.9 Cost 7112
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -8.6 \cdot 10^{-132}:\\
\;\;\;\;\frac{-0.5 \cdot c}{b_2}\\
\mathbf{elif}\;b_2 \leq 4.8 \cdot 10^{-118}:\\
\;\;\;\;\frac{-\sqrt{c \cdot \left(-a\right)}}{a}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 3 Error 39.5 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.05 \cdot 10^{-52}:\\
\;\;\;\;\frac{0}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-2}{\frac{a}{b_2}}\\
\end{array}
\]
Alternative 4 Error 22.6 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -5.8 \cdot 10^{-257}:\\
\;\;\;\;\frac{-0.5}{\frac{b_2}{c}}\\
\mathbf{else}:\\
\;\;\;\;\frac{-2}{\frac{a}{b_2}}\\
\end{array}
\]
Alternative 5 Error 22.6 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -5.8 \cdot 10^{-257}:\\
\;\;\;\;\frac{-0.5}{\frac{b_2}{c}}\\
\mathbf{else}:\\
\;\;\;\;b_2 \cdot \frac{-2}{a}\\
\end{array}
\]
Alternative 6 Error 22.3 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -5.8 \cdot 10^{-257}:\\
\;\;\;\;\frac{-0.5 \cdot c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;b_2 \cdot \frac{-2}{a}\\
\end{array}
\]
Alternative 7 Error 22.3 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -5.8 \cdot 10^{-257}:\\
\;\;\;\;\frac{-0.5 \cdot c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a}\\
\end{array}
\]
Alternative 8 Error 53.4 Cost 388
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.05 \cdot 10^{-52}:\\
\;\;\;\;\frac{0}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-b_2}{a}\\
\end{array}
\]
Alternative 9 Error 56.4 Cost 192
\[\frac{0}{a}
\]