Math FPCore C Java Python Julia MATLAB Wolfram TeX \[\frac{x \cdot \left(y - z\right)}{y}
\]
↓
\[\begin{array}{l}
t_0 := \frac{x \cdot \left(y - z\right)}{y}\\
t_1 := x - x \cdot \frac{z}{y}\\
\mathbf{if}\;t_0 \leq -\infty:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t_0 \leq -2 \cdot 10^{+80}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;t_0 \leq 10^{-108}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t_0 \leq 2 \cdot 10^{+299}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\end{array}
\]
(FPCore (x y z) :precision binary64 (/ (* x (- y z)) y)) ↓
(FPCore (x y z)
:precision binary64
(let* ((t_0 (/ (* x (- y z)) y)) (t_1 (- x (* x (/ z y)))))
(if (<= t_0 (- INFINITY))
t_1
(if (<= t_0 -2e+80)
t_0
(if (<= t_0 1e-108)
t_1
(if (<= t_0 2e+299) t_0 (* (- y z) (/ x y)))))))) 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 t_1 = x - (x * (z / y));
double tmp;
if (t_0 <= -((double) INFINITY)) {
tmp = t_1;
} else if (t_0 <= -2e+80) {
tmp = t_0;
} else if (t_0 <= 1e-108) {
tmp = t_1;
} else if (t_0 <= 2e+299) {
tmp = t_0;
} else {
tmp = (y - z) * (x / y);
}
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 t_1 = x - (x * (z / y));
double tmp;
if (t_0 <= -Double.POSITIVE_INFINITY) {
tmp = t_1;
} else if (t_0 <= -2e+80) {
tmp = t_0;
} else if (t_0 <= 1e-108) {
tmp = t_1;
} else if (t_0 <= 2e+299) {
tmp = t_0;
} else {
tmp = (y - z) * (x / y);
}
return tmp;
}
def code(x, y, z):
return (x * (y - z)) / y
↓
def code(x, y, z):
t_0 = (x * (y - z)) / y
t_1 = x - (x * (z / y))
tmp = 0
if t_0 <= -math.inf:
tmp = t_1
elif t_0 <= -2e+80:
tmp = t_0
elif t_0 <= 1e-108:
tmp = t_1
elif t_0 <= 2e+299:
tmp = t_0
else:
tmp = (y - z) * (x / y)
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)
t_1 = Float64(x - Float64(x * Float64(z / y)))
tmp = 0.0
if (t_0 <= Float64(-Inf))
tmp = t_1;
elseif (t_0 <= -2e+80)
tmp = t_0;
elseif (t_0 <= 1e-108)
tmp = t_1;
elseif (t_0 <= 2e+299)
tmp = t_0;
else
tmp = Float64(Float64(y - z) * Float64(x / y));
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;
t_1 = x - (x * (z / y));
tmp = 0.0;
if (t_0 <= -Inf)
tmp = t_1;
elseif (t_0 <= -2e+80)
tmp = t_0;
elseif (t_0 <= 1e-108)
tmp = t_1;
elseif (t_0 <= 2e+299)
tmp = t_0;
else
tmp = (y - z) * (x / y);
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]}, Block[{t$95$1 = N[(x - N[(x * N[(z / y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, (-Infinity)], t$95$1, If[LessEqual[t$95$0, -2e+80], t$95$0, If[LessEqual[t$95$0, 1e-108], t$95$1, If[LessEqual[t$95$0, 2e+299], t$95$0, N[(N[(y - z), $MachinePrecision] * N[(x / y), $MachinePrecision]), $MachinePrecision]]]]]]]
\frac{x \cdot \left(y - z\right)}{y}
↓
\begin{array}{l}
t_0 := \frac{x \cdot \left(y - z\right)}{y}\\
t_1 := x - x \cdot \frac{z}{y}\\
\mathbf{if}\;t_0 \leq -\infty:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t_0 \leq -2 \cdot 10^{+80}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;t_0 \leq 10^{-108}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t_0 \leq 2 \cdot 10^{+299}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\end{array}
Alternatives Alternative 1 Error 7.6 Cost 976
\[\begin{array}{l}
t_0 := \left(y - z\right) \cdot \frac{x}{y}\\
\mathbf{if}\;y \leq -3.6 \cdot 10^{+127}:\\
\;\;\;\;x\\
\mathbf{elif}\;y \leq -1.1 \cdot 10^{-304}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 1.28 \cdot 10^{-256}:\\
\;\;\;\;\frac{x \cdot \left(-z\right)}{y}\\
\mathbf{elif}\;y \leq 1.35 \cdot 10^{+146}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 2 Error 18.6 Cost 912
\[\begin{array}{l}
t_0 := z \cdot \frac{-x}{y}\\
\mathbf{if}\;z \leq -28000:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq 5.8 \cdot 10^{-96}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 1.06 \cdot 10^{-84}:\\
\;\;\;\;x \cdot \left(-\frac{z}{y}\right)\\
\mathbf{elif}\;z \leq 5.2 \cdot 10^{+82}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 3 Error 18.6 Cost 912
\[\begin{array}{l}
t_0 := z \cdot \frac{-x}{y}\\
\mathbf{if}\;z \leq -480:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq 5.8 \cdot 10^{-96}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 1.06 \cdot 10^{-84}:\\
\;\;\;\;\frac{x}{\frac{-y}{z}}\\
\mathbf{elif}\;z \leq 8 \cdot 10^{+82}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 4 Error 3.1 Cost 713
\[\begin{array}{l}
\mathbf{if}\;y \leq -3.1 \cdot 10^{-198} \lor \neg \left(y \leq 1.2 \cdot 10^{-159}\right):\\
\;\;\;\;x - x \cdot \frac{z}{y}\\
\mathbf{else}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\end{array}
\]
Alternative 5 Error 2.9 Cost 713
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.18 \cdot 10^{-198} \lor \neg \left(y \leq 1.06 \cdot 10^{-159}\right):\\
\;\;\;\;x - \frac{x}{\frac{y}{z}}\\
\mathbf{else}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{y}\\
\end{array}
\]
Alternative 6 Error 18.4 Cost 649
\[\begin{array}{l}
\mathbf{if}\;z \leq -23000 \lor \neg \left(z \leq 1.8 \cdot 10^{+83}\right):\\
\;\;\;\;z \cdot \frac{-x}{y}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 7 Error 25.7 Cost 64
\[x
\]