(FPCore (g a) :precision binary64 (cbrt (/ g (* 2.0 a))))
(FPCore (g a) :precision binary64 (* (cbrt (/ g 2.0)) (/ 1.0 (cbrt a))))
double code(double g, double a) {
return cbrt((g / (2.0 * a)));
}
double code(double g, double a) {
return cbrt((g / 2.0)) * (1.0 / cbrt(a));
}
public static double code(double g, double a) {
return Math.cbrt((g / (2.0 * a)));
}
public static double code(double g, double a) {
return Math.cbrt((g / 2.0)) * (1.0 / Math.cbrt(a));
}
function code(g, a) return cbrt(Float64(g / Float64(2.0 * a))) end
function code(g, a) return Float64(cbrt(Float64(g / 2.0)) * Float64(1.0 / cbrt(a))) end
code[g_, a_] := N[Power[N[(g / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
code[g_, a_] := N[(N[Power[N[(g / 2.0), $MachinePrecision], 1/3], $MachinePrecision] * N[(1.0 / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt[3]{\frac{g}{2 \cdot a}}
\sqrt[3]{\frac{g}{2}} \cdot \frac{1}{\sqrt[3]{a}}



Bits error versus g



Bits error versus a
Results
Initial program 15.5
Applied egg-rr0.8
Applied egg-rr0.8
Final simplification0.8
herbie shell --seed 2022133
(FPCore (g a)
:name "2-ancestry mixing, zero discriminant"
:precision binary64
(cbrt (/ g (* 2.0 a))))