Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -9 \cdot 10^{+63}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 1.2 \cdot 10^{-69}:\\
\;\;\;\;\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
(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 -9e+63)
(/ (* b_2 -2.0) a)
(if (<= b_2 1.2e-69)
(/ (+ (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) 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 <= -9e+63) {
tmp = (b_2 * -2.0) / a;
} else if (b_2 <= 1.2e-69) {
tmp = (-b_2 + sqrt(((b_2 * b_2) - (a * c)))) / a;
} else {
tmp = -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 <= (-9d+63)) then
tmp = (b_2 * (-2.0d0)) / a
else if (b_2 <= 1.2d-69) then
tmp = (-b_2 + sqrt(((b_2 * b_2) - (a * c)))) / a
else
tmp = (-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 <= -9e+63) {
tmp = (b_2 * -2.0) / a;
} else if (b_2 <= 1.2e-69) {
tmp = (-b_2 + Math.sqrt(((b_2 * b_2) - (a * c)))) / a;
} else {
tmp = -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 <= -9e+63:
tmp = (b_2 * -2.0) / a
elif b_2 <= 1.2e-69:
tmp = (-b_2 + math.sqrt(((b_2 * b_2) - (a * c)))) / a
else:
tmp = -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 <= -9e+63)
tmp = Float64(Float64(b_2 * -2.0) / a);
elseif (b_2 <= 1.2e-69)
tmp = Float64(Float64(Float64(-b_2) + sqrt(Float64(Float64(b_2 * b_2) - Float64(a * c)))) / a);
else
tmp = 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 <= -9e+63)
tmp = (b_2 * -2.0) / a;
elseif (b_2 <= 1.2e-69)
tmp = (-b_2 + sqrt(((b_2 * b_2) - (a * c)))) / a;
else
tmp = -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, -9e+63], N[(N[(b$95$2 * -2.0), $MachinePrecision] / a), $MachinePrecision], If[LessEqual[b$95$2, 1.2e-69], 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[(-0.5 * N[(c / b$95$2), $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 -9 \cdot 10^{+63}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 1.2 \cdot 10^{-69}:\\
\;\;\;\;\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
Alternatives Alternative 1 Error 20.3 Cost 7504
\[\begin{array}{l}
t_0 := \sqrt{-\frac{c}{a}}\\
\mathbf{if}\;b_2 \leq -1.55 \cdot 10^{-25}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq -4 \cdot 10^{-32}:\\
\;\;\;\;-t_0\\
\mathbf{elif}\;b_2 \leq -1.25 \cdot 10^{-218}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 2.6 \cdot 10^{-145}:\\
\;\;\;\;-\left(t_0 + \frac{b_2}{a}\right)\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 2 Error 13.7 Cost 7504
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.55 \cdot 10^{-25}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq -4 \cdot 10^{-32}:\\
\;\;\;\;-\sqrt{-\frac{c}{a}}\\
\mathbf{elif}\;b_2 \leq -1.95 \cdot 10^{-52}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 4.4 \cdot 10^{-70}:\\
\;\;\;\;\frac{\sqrt{c \cdot \left(-a\right)} + \left(-b_2\right)}{a}\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 3 Error 20.4 Cost 7248
\[\begin{array}{l}
t_0 := -\sqrt{-\frac{c}{a}}\\
\mathbf{if}\;b_2 \leq -3.5 \cdot 10^{-18}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq -1.2 \cdot 10^{-32}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;b_2 \leq -1.25 \cdot 10^{-218}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 6 \cdot 10^{-145}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 4 Error 19.8 Cost 6920
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -5.9 \cdot 10^{-161}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 9.6 \cdot 10^{-206}:\\
\;\;\;\;\sqrt{-\frac{c}{a}}\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 5 Error 36.9 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq 8.5 \cdot 10^{-204}:\\
\;\;\;\;-\frac{b_2}{a}\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 6 Error 22.5 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq 1.2 \cdot 10^{-205}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{else}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\end{array}
\]
Alternative 7 Error 59.1 Cost 256
\[-\frac{b_2}{a}
\]