Math FPCore C Julia Wolfram TeX \[x \cdot \sqrt{y \cdot y - z \cdot z}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;y \leq -4.8 \cdot 10^{-251}:\\
\;\;\;\;\left(\frac{z}{y} \cdot \left(z \cdot 0.5\right) - y\right) \cdot x\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(y, x, -0.5 \cdot \left(x \cdot \frac{z}{\frac{y}{z}}\right)\right)\\
\end{array}
\]
(FPCore (x y z) :precision binary64 (* x (sqrt (- (* y y) (* z z))))) ↓
(FPCore (x y z)
:precision binary64
(if (<= y -4.8e-251)
(* (- (* (/ z y) (* z 0.5)) y) x)
(fma y x (* -0.5 (* x (/ z (/ y z))))))) double code(double x, double y, double z) {
return x * sqrt(((y * y) - (z * z)));
}
↓
double code(double x, double y, double z) {
double tmp;
if (y <= -4.8e-251) {
tmp = (((z / y) * (z * 0.5)) - y) * x;
} else {
tmp = fma(y, x, (-0.5 * (x * (z / (y / z)))));
}
return tmp;
}
function code(x, y, z)
return Float64(x * sqrt(Float64(Float64(y * y) - Float64(z * z))))
end
↓
function code(x, y, z)
tmp = 0.0
if (y <= -4.8e-251)
tmp = Float64(Float64(Float64(Float64(z / y) * Float64(z * 0.5)) - y) * x);
else
tmp = fma(y, x, Float64(-0.5 * Float64(x * Float64(z / Float64(y / z)))));
end
return tmp
end
code[x_, y_, z_] := N[(x * N[Sqrt[N[(N[(y * y), $MachinePrecision] - N[(z * z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := If[LessEqual[y, -4.8e-251], N[(N[(N[(N[(z / y), $MachinePrecision] * N[(z * 0.5), $MachinePrecision]), $MachinePrecision] - y), $MachinePrecision] * x), $MachinePrecision], N[(y * x + N[(-0.5 * N[(x * N[(z / N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
x \cdot \sqrt{y \cdot y - z \cdot z}
↓
\begin{array}{l}
\mathbf{if}\;y \leq -4.8 \cdot 10^{-251}:\\
\;\;\;\;\left(\frac{z}{y} \cdot \left(z \cdot 0.5\right) - y\right) \cdot x\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(y, x, -0.5 \cdot \left(x \cdot \frac{z}{\frac{y}{z}}\right)\right)\\
\end{array}