Math FPCore C Julia Wolfram TeX \[x + \frac{y \cdot \left(z - t\right)}{z - a}
\]
↓
\[\begin{array}{l}
t_1 := \frac{y \cdot \left(z - t\right)}{z - a}\\
\mathbf{if}\;t_1 \leq -\infty:\\
\;\;\;\;\mathsf{fma}\left(y, \frac{z - t}{z - a}, x\right)\\
\mathbf{elif}\;t_1 \leq 3.2 \cdot 10^{-64}:\\
\;\;\;\;t_1 + x\\
\mathbf{else}:\\
\;\;\;\;x + \left(z - t\right) \cdot \frac{y}{z - a}\\
\end{array}
\]
(FPCore (x y z t a) :precision binary64 (+ x (/ (* y (- z t)) (- z a)))) ↓
(FPCore (x y z t a)
:precision binary64
(let* ((t_1 (/ (* y (- z t)) (- z a))))
(if (<= t_1 (- INFINITY))
(fma y (/ (- z t) (- z a)) x)
(if (<= t_1 3.2e-64) (+ t_1 x) (+ x (* (- z t) (/ y (- z a)))))))) double code(double x, double y, double z, double t, double a) {
return x + ((y * (z - t)) / (z - a));
}
↓
double code(double x, double y, double z, double t, double a) {
double t_1 = (y * (z - t)) / (z - a);
double tmp;
if (t_1 <= -((double) INFINITY)) {
tmp = fma(y, ((z - t) / (z - a)), x);
} else if (t_1 <= 3.2e-64) {
tmp = t_1 + x;
} else {
tmp = x + ((z - t) * (y / (z - a)));
}
return tmp;
}
function code(x, y, z, t, a)
return Float64(x + Float64(Float64(y * Float64(z - t)) / Float64(z - a)))
end
↓
function code(x, y, z, t, a)
t_1 = Float64(Float64(y * Float64(z - t)) / Float64(z - a))
tmp = 0.0
if (t_1 <= Float64(-Inf))
tmp = fma(y, Float64(Float64(z - t) / Float64(z - a)), x);
elseif (t_1 <= 3.2e-64)
tmp = Float64(t_1 + x);
else
tmp = Float64(x + Float64(Float64(z - t) * Float64(y / Float64(z - a))));
end
return tmp
end
code[x_, y_, z_, t_, a_] := N[(x + N[(N[(y * N[(z - t), $MachinePrecision]), $MachinePrecision] / N[(z - a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_] := Block[{t$95$1 = N[(N[(y * N[(z - t), $MachinePrecision]), $MachinePrecision] / N[(z - a), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, (-Infinity)], N[(y * N[(N[(z - t), $MachinePrecision] / N[(z - a), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision], If[LessEqual[t$95$1, 3.2e-64], N[(t$95$1 + x), $MachinePrecision], N[(x + N[(N[(z - t), $MachinePrecision] * N[(y / N[(z - a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
x + \frac{y \cdot \left(z - t\right)}{z - a}
↓
\begin{array}{l}
t_1 := \frac{y \cdot \left(z - t\right)}{z - a}\\
\mathbf{if}\;t_1 \leq -\infty:\\
\;\;\;\;\mathsf{fma}\left(y, \frac{z - t}{z - a}, x\right)\\
\mathbf{elif}\;t_1 \leq 3.2 \cdot 10^{-64}:\\
\;\;\;\;t_1 + x\\
\mathbf{else}:\\
\;\;\;\;x + \left(z - t\right) \cdot \frac{y}{z - a}\\
\end{array}
Alternatives Alternative 1 Error 1.39% Cost 1992
\[\begin{array}{l}
t_1 := \frac{y \cdot \left(z - t\right)}{z - a}\\
\mathbf{if}\;t_1 \leq -1 \cdot 10^{+307}:\\
\;\;\;\;x + \frac{y}{\frac{z - a}{z - t}}\\
\mathbf{elif}\;t_1 \leq 3.2 \cdot 10^{-64}:\\
\;\;\;\;t_1 + x\\
\mathbf{else}:\\
\;\;\;\;x + \left(z - t\right) \cdot \frac{y}{z - a}\\
\end{array}
\]
Alternative 2 Error 18.5% Cost 841
\[\begin{array}{l}
\mathbf{if}\;z \leq -1350000 \lor \neg \left(z \leq 2.4 \cdot 10^{-70}\right):\\
\;\;\;\;x + y \cdot \frac{z - t}{z}\\
\mathbf{else}:\\
\;\;\;\;x + \frac{t}{\frac{a}{y}}\\
\end{array}
\]
Alternative 3 Error 16.01% Cost 841
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.2 \cdot 10^{-99} \lor \neg \left(z \leq 5.8 \cdot 10^{-43}\right):\\
\;\;\;\;x + \frac{y}{\frac{z - a}{z}}\\
\mathbf{else}:\\
\;\;\;\;x + \frac{t}{\frac{a}{y}}\\
\end{array}
\]
Alternative 4 Error 13.47% Cost 841
\[\begin{array}{l}
\mathbf{if}\;t \leq -4.9 \cdot 10^{-20} \lor \neg \left(t \leq 9.2 \cdot 10^{+90}\right):\\
\;\;\;\;x - t \cdot \frac{y}{z - a}\\
\mathbf{else}:\\
\;\;\;\;x + \frac{y}{\frac{z - a}{z}}\\
\end{array}
\]
Alternative 5 Error 2.23% Cost 836
\[\begin{array}{l}
\mathbf{if}\;t \leq -1.2 \cdot 10^{-103}:\\
\;\;\;\;x + \left(z - t\right) \cdot \frac{y}{z - a}\\
\mathbf{else}:\\
\;\;\;\;x + \frac{y}{\frac{z - a}{z - t}}\\
\end{array}
\]
Alternative 6 Error 22.59% Cost 713
\[\begin{array}{l}
\mathbf{if}\;z \leq -230000 \lor \neg \left(z \leq 7400000000000\right):\\
\;\;\;\;y + x\\
\mathbf{else}:\\
\;\;\;\;x + y \cdot \frac{t}{a}\\
\end{array}
\]
Alternative 7 Error 22.46% Cost 713
\[\begin{array}{l}
\mathbf{if}\;z \leq -4200000 \lor \neg \left(z \leq 30000000000\right):\\
\;\;\;\;y + x\\
\mathbf{else}:\\
\;\;\;\;x + t \cdot \frac{y}{a}\\
\end{array}
\]
Alternative 8 Error 22.44% Cost 712
\[\begin{array}{l}
\mathbf{if}\;z \leq -390000:\\
\;\;\;\;y + x\\
\mathbf{elif}\;z \leq 29000000000000:\\
\;\;\;\;x + \frac{t}{\frac{a}{y}}\\
\mathbf{else}:\\
\;\;\;\;y + x\\
\end{array}
\]
Alternative 9 Error 22.38% Cost 712
\[\begin{array}{l}
\mathbf{if}\;z \leq -125000:\\
\;\;\;\;y + x\\
\mathbf{elif}\;z \leq 6600000000:\\
\;\;\;\;x + \frac{y}{\frac{a}{t}}\\
\mathbf{else}:\\
\;\;\;\;y + x\\
\end{array}
\]
Alternative 10 Error 4.38% Cost 704
\[x + \left(z - t\right) \cdot \frac{y}{z - a}
\]
Alternative 11 Error 31.46% Cost 456
\[\begin{array}{l}
\mathbf{if}\;z \leq -115000:\\
\;\;\;\;y + x\\
\mathbf{elif}\;z \leq 8200000000:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;y + x\\
\end{array}
\]
Alternative 12 Error 45.46% Cost 64
\[x
\]