Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\]
↓
\[\begin{array}{l}
t_0 := \sqrt{b_2 \cdot b_2 - a \cdot c}\\
\mathbf{if}\;b_2 \leq -1.06 \cdot 10^{+153}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a}\\
\mathbf{elif}\;b_2 \leq 2.3 \cdot 10^{-138}:\\
\;\;\;\;\frac{t_0 - b_2}{a}\\
\mathbf{elif}\;b_2 \leq 3.8 \cdot 10^{-16} \lor \neg \left(b_2 \leq 0.00019\right):\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_0}{a} - \frac{b_2}{a}\\
\end{array}
\]
(FPCore (a b_2 c)
:precision binary64
(/ (+ (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a)) ↓
(FPCore (a b_2 c)
:precision binary64
(let* ((t_0 (sqrt (- (* b_2 b_2) (* a c)))))
(if (<= b_2 -1.06e+153)
(* -2.0 (/ b_2 a))
(if (<= b_2 2.3e-138)
(/ (- t_0 b_2) a)
(if (or (<= b_2 3.8e-16) (not (<= b_2 0.00019)))
(* -0.5 (/ c b_2))
(- (/ t_0 a) (/ b_2 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 t_0 = sqrt(((b_2 * b_2) - (a * c)));
double tmp;
if (b_2 <= -1.06e+153) {
tmp = -2.0 * (b_2 / a);
} else if (b_2 <= 2.3e-138) {
tmp = (t_0 - b_2) / a;
} else if ((b_2 <= 3.8e-16) || !(b_2 <= 0.00019)) {
tmp = -0.5 * (c / b_2);
} else {
tmp = (t_0 / a) - (b_2 / 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) :: t_0
real(8) :: tmp
t_0 = sqrt(((b_2 * b_2) - (a * c)))
if (b_2 <= (-1.06d+153)) then
tmp = (-2.0d0) * (b_2 / a)
else if (b_2 <= 2.3d-138) then
tmp = (t_0 - b_2) / a
else if ((b_2 <= 3.8d-16) .or. (.not. (b_2 <= 0.00019d0))) then
tmp = (-0.5d0) * (c / b_2)
else
tmp = (t_0 / a) - (b_2 / 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 t_0 = Math.sqrt(((b_2 * b_2) - (a * c)));
double tmp;
if (b_2 <= -1.06e+153) {
tmp = -2.0 * (b_2 / a);
} else if (b_2 <= 2.3e-138) {
tmp = (t_0 - b_2) / a;
} else if ((b_2 <= 3.8e-16) || !(b_2 <= 0.00019)) {
tmp = -0.5 * (c / b_2);
} else {
tmp = (t_0 / a) - (b_2 / 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):
t_0 = math.sqrt(((b_2 * b_2) - (a * c)))
tmp = 0
if b_2 <= -1.06e+153:
tmp = -2.0 * (b_2 / a)
elif b_2 <= 2.3e-138:
tmp = (t_0 - b_2) / a
elif (b_2 <= 3.8e-16) or not (b_2 <= 0.00019):
tmp = -0.5 * (c / b_2)
else:
tmp = (t_0 / a) - (b_2 / 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)
t_0 = sqrt(Float64(Float64(b_2 * b_2) - Float64(a * c)))
tmp = 0.0
if (b_2 <= -1.06e+153)
tmp = Float64(-2.0 * Float64(b_2 / a));
elseif (b_2 <= 2.3e-138)
tmp = Float64(Float64(t_0 - b_2) / a);
elseif ((b_2 <= 3.8e-16) || !(b_2 <= 0.00019))
tmp = Float64(-0.5 * Float64(c / b_2));
else
tmp = Float64(Float64(t_0 / a) - Float64(b_2 / 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)
t_0 = sqrt(((b_2 * b_2) - (a * c)));
tmp = 0.0;
if (b_2 <= -1.06e+153)
tmp = -2.0 * (b_2 / a);
elseif (b_2 <= 2.3e-138)
tmp = (t_0 - b_2) / a;
elseif ((b_2 <= 3.8e-16) || ~((b_2 <= 0.00019)))
tmp = -0.5 * (c / b_2);
else
tmp = (t_0 / a) - (b_2 / 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_] := Block[{t$95$0 = N[Sqrt[N[(N[(b$95$2 * b$95$2), $MachinePrecision] - N[(a * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[b$95$2, -1.06e+153], N[(-2.0 * N[(b$95$2 / a), $MachinePrecision]), $MachinePrecision], If[LessEqual[b$95$2, 2.3e-138], N[(N[(t$95$0 - b$95$2), $MachinePrecision] / a), $MachinePrecision], If[Or[LessEqual[b$95$2, 3.8e-16], N[Not[LessEqual[b$95$2, 0.00019]], $MachinePrecision]], N[(-0.5 * N[(c / b$95$2), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 / a), $MachinePrecision] - N[(b$95$2 / a), $MachinePrecision]), $MachinePrecision]]]]]
\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
↓
\begin{array}{l}
t_0 := \sqrt{b_2 \cdot b_2 - a \cdot c}\\
\mathbf{if}\;b_2 \leq -1.06 \cdot 10^{+153}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a}\\
\mathbf{elif}\;b_2 \leq 2.3 \cdot 10^{-138}:\\
\;\;\;\;\frac{t_0 - b_2}{a}\\
\mathbf{elif}\;b_2 \leq 3.8 \cdot 10^{-16} \lor \neg \left(b_2 \leq 0.00019\right):\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_0}{a} - \frac{b_2}{a}\\
\end{array}