Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{x + y}{1 - \frac{y}{z}}
\]
↓
\[\begin{array}{l}
t_0 := \frac{x + y}{1 - \frac{y}{z}}\\
\mathbf{if}\;t_0 \leq -2 \cdot 10^{-238}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;t_0 \leq 0:\\
\;\;\;\;z \cdot \left(-1 - \frac{x}{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
(FPCore (x y z) :precision binary64 (/ (+ x y) (- 1.0 (/ y z)))) ↓
(FPCore (x y z)
:precision binary64
(let* ((t_0 (/ (+ x y) (- 1.0 (/ y z)))))
(if (<= t_0 -2e-238) t_0 (if (<= t_0 0.0) (* z (- -1.0 (/ x y))) t_0)))) double code(double x, double y, double z) {
return (x + y) / (1.0 - (y / z));
}
↓
double code(double x, double y, double z) {
double t_0 = (x + y) / (1.0 - (y / z));
double tmp;
if (t_0 <= -2e-238) {
tmp = t_0;
} else if (t_0 <= 0.0) {
tmp = z * (-1.0 - (x / y));
} else {
tmp = t_0;
}
return tmp;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (x + y) / (1.0d0 - (y / z))
end function
↓
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8) :: t_0
real(8) :: tmp
t_0 = (x + y) / (1.0d0 - (y / z))
if (t_0 <= (-2d-238)) then
tmp = t_0
else if (t_0 <= 0.0d0) then
tmp = z * ((-1.0d0) - (x / y))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double x, double y, double z) {
return (x + y) / (1.0 - (y / z));
}
↓
public static double code(double x, double y, double z) {
double t_0 = (x + y) / (1.0 - (y / z));
double tmp;
if (t_0 <= -2e-238) {
tmp = t_0;
} else if (t_0 <= 0.0) {
tmp = z * (-1.0 - (x / y));
} else {
tmp = t_0;
}
return tmp;
}
def code(x, y, z):
return (x + y) / (1.0 - (y / z))
↓
def code(x, y, z):
t_0 = (x + y) / (1.0 - (y / z))
tmp = 0
if t_0 <= -2e-238:
tmp = t_0
elif t_0 <= 0.0:
tmp = z * (-1.0 - (x / y))
else:
tmp = t_0
return tmp
function code(x, y, z)
return Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
end
↓
function code(x, y, z)
t_0 = Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
tmp = 0.0
if (t_0 <= -2e-238)
tmp = t_0;
elseif (t_0 <= 0.0)
tmp = Float64(z * Float64(-1.0 - Float64(x / y)));
else
tmp = t_0;
end
return tmp
end
function tmp = code(x, y, z)
tmp = (x + y) / (1.0 - (y / z));
end
↓
function tmp_2 = code(x, y, z)
t_0 = (x + y) / (1.0 - (y / z));
tmp = 0.0;
if (t_0 <= -2e-238)
tmp = t_0;
elseif (t_0 <= 0.0)
tmp = z * (-1.0 - (x / y));
else
tmp = t_0;
end
tmp_2 = tmp;
end
code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] / N[(1.0 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := Block[{t$95$0 = N[(N[(x + y), $MachinePrecision] / N[(1.0 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -2e-238], t$95$0, If[LessEqual[t$95$0, 0.0], N[(z * N[(-1.0 - N[(x / y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\frac{x + y}{1 - \frac{y}{z}}
↓
\begin{array}{l}
t_0 := \frac{x + y}{1 - \frac{y}{z}}\\
\mathbf{if}\;t_0 \leq -2 \cdot 10^{-238}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;t_0 \leq 0:\\
\;\;\;\;z \cdot \left(-1 - \frac{x}{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}