Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.9 \cdot 10^{-135}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 1.38 \cdot 10^{+97}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\end{array}
\]
(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 -1.9e-135)
(* -0.5 (/ c b_2))
(if (<= b_2 1.38e+97)
(/ (- (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a)
(/ (* b_2 -2.0) a)))) 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 <= -1.9e-135) {
tmp = -0.5 * (c / b_2);
} else if (b_2 <= 1.38e+97) {
tmp = (-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a;
} else {
tmp = (b_2 * -2.0) / a;
}
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 <= (-1.9d-135)) then
tmp = (-0.5d0) * (c / b_2)
else if (b_2 <= 1.38d+97) then
tmp = (-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a
else
tmp = (b_2 * (-2.0d0)) / a
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 <= -1.9e-135) {
tmp = -0.5 * (c / b_2);
} else if (b_2 <= 1.38e+97) {
tmp = (-b_2 - Math.sqrt(((b_2 * b_2) - (a * c)))) / a;
} else {
tmp = (b_2 * -2.0) / a;
}
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 <= -1.9e-135:
tmp = -0.5 * (c / b_2)
elif b_2 <= 1.38e+97:
tmp = (-b_2 - math.sqrt(((b_2 * b_2) - (a * c)))) / a
else:
tmp = (b_2 * -2.0) / a
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 <= -1.9e-135)
tmp = Float64(-0.5 * Float64(c / b_2));
elseif (b_2 <= 1.38e+97)
tmp = Float64(Float64(Float64(-b_2) - sqrt(Float64(Float64(b_2 * b_2) - Float64(a * c)))) / a);
else
tmp = Float64(Float64(b_2 * -2.0) / a);
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 <= -1.9e-135)
tmp = -0.5 * (c / b_2);
elseif (b_2 <= 1.38e+97)
tmp = (-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a;
else
tmp = (b_2 * -2.0) / a;
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, -1.9e-135], N[(-0.5 * N[(c / b$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[b$95$2, 1.38e+97], 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], N[(N[(b$95$2 * -2.0), $MachinePrecision] / a), $MachinePrecision]]]
\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
↓
\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.9 \cdot 10^{-135}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 1.38 \cdot 10^{+97}:\\
\;\;\;\;\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\end{array}