Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -9.4 \cdot 10^{+114}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 1.28 \cdot 10^{-123}:\\
\;\;\;\;\frac{{\left(b_2 \cdot b_2 - a \cdot c\right)}^{0.5} - b_2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b_2}\\
\end{array}
\]
(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 -9.4e+114)
(/ (* b_2 -2.0) a)
(if (<= b_2 1.28e-123)
(/ (- (pow (- (* b_2 b_2) (* a c)) 0.5) b_2) a)
(/ (* c -0.5) 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 <= -9.4e+114) {
tmp = (b_2 * -2.0) / a;
} else if (b_2 <= 1.28e-123) {
tmp = (pow(((b_2 * b_2) - (a * c)), 0.5) - b_2) / a;
} else {
tmp = (c * -0.5) / 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 <= (-9.4d+114)) then
tmp = (b_2 * (-2.0d0)) / a
else if (b_2 <= 1.28d-123) then
tmp = ((((b_2 * b_2) - (a * c)) ** 0.5d0) - b_2) / a
else
tmp = (c * (-0.5d0)) / 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 <= -9.4e+114) {
tmp = (b_2 * -2.0) / a;
} else if (b_2 <= 1.28e-123) {
tmp = (Math.pow(((b_2 * b_2) - (a * c)), 0.5) - b_2) / a;
} else {
tmp = (c * -0.5) / 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 <= -9.4e+114:
tmp = (b_2 * -2.0) / a
elif b_2 <= 1.28e-123:
tmp = (math.pow(((b_2 * b_2) - (a * c)), 0.5) - b_2) / a
else:
tmp = (c * -0.5) / 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 <= -9.4e+114)
tmp = Float64(Float64(b_2 * -2.0) / a);
elseif (b_2 <= 1.28e-123)
tmp = Float64(Float64((Float64(Float64(b_2 * b_2) - Float64(a * c)) ^ 0.5) - b_2) / a);
else
tmp = Float64(Float64(c * -0.5) / 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 <= -9.4e+114)
tmp = (b_2 * -2.0) / a;
elseif (b_2 <= 1.28e-123)
tmp = ((((b_2 * b_2) - (a * c)) ^ 0.5) - b_2) / a;
else
tmp = (c * -0.5) / 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, -9.4e+114], N[(N[(b$95$2 * -2.0), $MachinePrecision] / a), $MachinePrecision], If[LessEqual[b$95$2, 1.28e-123], N[(N[(N[Power[N[(N[(b$95$2 * b$95$2), $MachinePrecision] - N[(a * c), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] - b$95$2), $MachinePrecision] / a), $MachinePrecision], N[(N[(c * -0.5), $MachinePrecision] / b$95$2), $MachinePrecision]]]
\frac{\left(-b_2\right) + \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
↓
\begin{array}{l}
\mathbf{if}\;b_2 \leq -9.4 \cdot 10^{+114}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 1.28 \cdot 10^{-123}:\\
\;\;\;\;\frac{{\left(b_2 \cdot b_2 - a \cdot c\right)}^{0.5} - b_2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b_2}\\
\end{array}
Alternatives Alternative 1 Error 10.5 Cost 7368
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -1.45 \cdot 10^{+115}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{elif}\;b_2 \leq 1.28 \cdot 10^{-123}:\\
\;\;\;\;\frac{\sqrt{b_2 \cdot b_2 - a \cdot c} - b_2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b_2}\\
\end{array}
\]
Alternative 2 Error 13.6 Cost 7240
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -2.55 \cdot 10^{-95}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 1.35 \cdot 10^{-131}:\\
\;\;\;\;\frac{{\left(c \cdot \left(-a\right)\right)}^{0.5} - b_2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b_2}\\
\end{array}
\]
Alternative 3 Error 13.5 Cost 7176
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq -2.55 \cdot 10^{-95}:\\
\;\;\;\;-2 \cdot \frac{b_2}{a} + 0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 1.28 \cdot 10^{-123}:\\
\;\;\;\;\frac{\sqrt{c \cdot \left(-a\right)} - b_2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b_2}\\
\end{array}
\]
Alternative 4 Error 23.2 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq 1.15 \cdot 10^{-194}:\\
\;\;\;\;\frac{-2}{\frac{a}{b_2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{-0.5}{\frac{b_2}{c}}\\
\end{array}
\]
Alternative 5 Error 23.1 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq 1.15 \cdot 10^{-194}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-0.5}{\frac{b_2}{c}}\\
\end{array}
\]
Alternative 6 Error 22.9 Cost 452
\[\begin{array}{l}
\mathbf{if}\;b_2 \leq 1.15 \cdot 10^{-194}:\\
\;\;\;\;\frac{b_2 \cdot -2}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b_2}\\
\end{array}
\]
Alternative 7 Error 45.6 Cost 320
\[b_2 \cdot \frac{-2}{a}
\]
Alternative 8 Error 45.6 Cost 320
\[\frac{-2}{\frac{a}{b_2}}
\]
Alternative 9 Error 59.3 Cost 256
\[\frac{-b_2}{a}
\]