Math FPCore C Java Python Julia MATLAB Wolfram TeX \[\frac{x \cdot \left(y - z\right)}{y}
\]
↓
\[\begin{array}{l}
t_0 := \frac{x \cdot \left(y - z\right)}{y}\\
\mathbf{if}\;t_0 \leq -\infty \lor \neg \left(t_0 \leq -5 \cdot 10^{-163}\right):\\
\;\;\;\;x - \frac{x}{\frac{y}{z}}\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
(FPCore (x y z) :precision binary64 (/ (* x (- y z)) y)) ↓
(FPCore (x y z)
:precision binary64
(let* ((t_0 (/ (* x (- y z)) y)))
(if (or (<= t_0 (- INFINITY)) (not (<= t_0 -5e-163)))
(- x (/ x (/ y z)))
t_0))) double code(double x, double y, double z) {
return (x * (y - z)) / y;
}
↓
double code(double x, double y, double z) {
double t_0 = (x * (y - z)) / y;
double tmp;
if ((t_0 <= -((double) INFINITY)) || !(t_0 <= -5e-163)) {
tmp = x - (x / (y / z));
} else {
tmp = t_0;
}
return tmp;
}
public static double code(double x, double y, double z) {
return (x * (y - z)) / y;
}
↓
public static double code(double x, double y, double z) {
double t_0 = (x * (y - z)) / y;
double tmp;
if ((t_0 <= -Double.POSITIVE_INFINITY) || !(t_0 <= -5e-163)) {
tmp = x - (x / (y / z));
} else {
tmp = t_0;
}
return tmp;
}
def code(x, y, z):
return (x * (y - z)) / y
↓
def code(x, y, z):
t_0 = (x * (y - z)) / y
tmp = 0
if (t_0 <= -math.inf) or not (t_0 <= -5e-163):
tmp = x - (x / (y / z))
else:
tmp = t_0
return tmp
function code(x, y, z)
return Float64(Float64(x * Float64(y - z)) / y)
end
↓
function code(x, y, z)
t_0 = Float64(Float64(x * Float64(y - z)) / y)
tmp = 0.0
if ((t_0 <= Float64(-Inf)) || !(t_0 <= -5e-163))
tmp = Float64(x - Float64(x / Float64(y / z)));
else
tmp = t_0;
end
return tmp
end
function tmp = code(x, y, z)
tmp = (x * (y - z)) / y;
end
↓
function tmp_2 = code(x, y, z)
t_0 = (x * (y - z)) / y;
tmp = 0.0;
if ((t_0 <= -Inf) || ~((t_0 <= -5e-163)))
tmp = x - (x / (y / z));
else
tmp = t_0;
end
tmp_2 = tmp;
end
code[x_, y_, z_] := N[(N[(x * N[(y - z), $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]
↓
code[x_, y_, z_] := Block[{t$95$0 = N[(N[(x * N[(y - z), $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]}, If[Or[LessEqual[t$95$0, (-Infinity)], N[Not[LessEqual[t$95$0, -5e-163]], $MachinePrecision]], N[(x - N[(x / N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]
\frac{x \cdot \left(y - z\right)}{y}
↓
\begin{array}{l}
t_0 := \frac{x \cdot \left(y - z\right)}{y}\\
\mathbf{if}\;t_0 \leq -\infty \lor \neg \left(t_0 \leq -5 \cdot 10^{-163}\right):\\
\;\;\;\;x - \frac{x}{\frac{y}{z}}\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
Alternatives Alternative 1 Error 30.33% Cost 914
\[\begin{array}{l}
\mathbf{if}\;z \leq -7.8 \cdot 10^{+35} \lor \neg \left(z \leq -30000000 \lor \neg \left(z \leq -1.7 \cdot 10^{-44}\right) \land z \leq 5.5 \cdot 10^{-35}\right):\\
\;\;\;\;z \cdot \frac{-x}{y}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 2 Error 31.73% Cost 912
\[\begin{array}{l}
t_0 := z \cdot \frac{-x}{y}\\
\mathbf{if}\;z \leq -1.4 \cdot 10^{+36}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq -230000000000:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq -6.5 \cdot 10^{-45}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq 5.8 \cdot 10^{-35}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;x \cdot \left(-\frac{z}{y}\right)\\
\end{array}
\]
Alternative 3 Error 31.68% Cost 912
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.5 \cdot 10^{+32}:\\
\;\;\;\;z \cdot \frac{-x}{y}\\
\mathbf{elif}\;z \leq -102000000000:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq -3.7 \cdot 10^{-44}:\\
\;\;\;\;\frac{-z}{\frac{y}{x}}\\
\mathbf{elif}\;z \leq 6.5 \cdot 10^{-35}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;x \cdot \left(-\frac{z}{y}\right)\\
\end{array}
\]
Alternative 4 Error 31.81% Cost 912
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.5 \cdot 10^{+37}:\\
\;\;\;\;\frac{x \cdot \left(-z\right)}{y}\\
\mathbf{elif}\;z \leq -23500000:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq -3.6 \cdot 10^{-44}:\\
\;\;\;\;\frac{-z}{\frac{y}{x}}\\
\mathbf{elif}\;z \leq 6 \cdot 10^{-35}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;x \cdot \left(-\frac{z}{y}\right)\\
\end{array}
\]
Alternative 5 Error 5.21% Cost 713
\[\begin{array}{l}
\mathbf{if}\;y \leq -1 \cdot 10^{-161} \lor \neg \left(y \leq 2.3 \cdot 10^{-158}\right):\\
\;\;\;\;x - \frac{x}{\frac{y}{z}}\\
\mathbf{else}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\end{array}
\]
Alternative 6 Error 12.34% Cost 712
\[\begin{array}{l}
\mathbf{if}\;y \leq -2.6 \cdot 10^{+179}:\\
\;\;\;\;x\\
\mathbf{elif}\;y \leq 3 \cdot 10^{+193}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 7 Error 5.23% Cost 712
\[\begin{array}{l}
\mathbf{if}\;y \leq -2 \cdot 10^{-163}:\\
\;\;\;\;\frac{x}{\frac{y}{y - z}}\\
\mathbf{elif}\;y \leq 2 \cdot 10^{-158}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\mathbf{else}:\\
\;\;\;\;x - \frac{x}{\frac{y}{z}}\\
\end{array}
\]
Alternative 8 Error 40.74% Cost 64
\[x
\]