Math FPCore C Julia Wolfram TeX \[x \cdot \sqrt{y \cdot y - z \cdot z}
\]
↓
\[\begin{array}{l}
t_0 := \frac{z}{\frac{y}{z}}\\
\mathbf{if}\;y \leq -2 \cdot 10^{-304}:\\
\;\;\;\;\left(0.5 \cdot t_0 - y\right) \cdot x\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(y, x, -0.5 \cdot \left(t_0 \cdot x\right)\right)\\
\end{array}
\]
(FPCore (x y z) :precision binary64 (* x (sqrt (- (* y y) (* z z))))) ↓
(FPCore (x y z)
:precision binary64
(let* ((t_0 (/ z (/ y z))))
(if (<= y -2e-304) (* (- (* 0.5 t_0) y) x) (fma y x (* -0.5 (* t_0 x)))))) double code(double x, double y, double z) {
return x * sqrt(((y * y) - (z * z)));
}
↓
double code(double x, double y, double z) {
double t_0 = z / (y / z);
double tmp;
if (y <= -2e-304) {
tmp = ((0.5 * t_0) - y) * x;
} else {
tmp = fma(y, x, (-0.5 * (t_0 * x)));
}
return tmp;
}
function code(x, y, z)
return Float64(x * sqrt(Float64(Float64(y * y) - Float64(z * z))))
end
↓
function code(x, y, z)
t_0 = Float64(z / Float64(y / z))
tmp = 0.0
if (y <= -2e-304)
tmp = Float64(Float64(Float64(0.5 * t_0) - y) * x);
else
tmp = fma(y, x, Float64(-0.5 * Float64(t_0 * x)));
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_] := Block[{t$95$0 = N[(z / N[(y / z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -2e-304], N[(N[(N[(0.5 * t$95$0), $MachinePrecision] - y), $MachinePrecision] * x), $MachinePrecision], N[(y * x + N[(-0.5 * N[(t$95$0 * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
x \cdot \sqrt{y \cdot y - z \cdot z}
↓
\begin{array}{l}
t_0 := \frac{z}{\frac{y}{z}}\\
\mathbf{if}\;y \leq -2 \cdot 10^{-304}:\\
\;\;\;\;\left(0.5 \cdot t_0 - y\right) \cdot x\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(y, x, -0.5 \cdot \left(t_0 \cdot x\right)\right)\\
\end{array}