(FPCore (g a) :precision binary64 (cbrt (/ g (* 2.0 a))))
(FPCore (g a) :precision binary64 (* (cbrt g) (* (cbrt (/ -1.0 a)) (cbrt -0.5))))
double code(double g, double a) {
return cbrt((g / (2.0 * a)));
}
double code(double g, double a) {
return cbrt(g) * (cbrt((-1.0 / a)) * cbrt(-0.5));
}
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) * (Math.cbrt((-1.0 / a)) * Math.cbrt(-0.5));
}
function code(g, a) return cbrt(Float64(g / Float64(2.0 * a))) end
function code(g, a) return Float64(cbrt(g) * Float64(cbrt(Float64(-1.0 / a)) * cbrt(-0.5))) end
code[g_, a_] := N[Power[N[(g / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
code[g_, a_] := N[(N[Power[g, 1/3], $MachinePrecision] * N[(N[Power[N[(-1.0 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[-0.5, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt[3]{\frac{g}{2 \cdot a}}
\sqrt[3]{g} \cdot \left(\sqrt[3]{\frac{-1}{a}} \cdot \sqrt[3]{-0.5}\right)



Bits error versus g



Bits error versus a
Results
Initial program 15.9
Applied egg-rr0.8
Taylor expanded in a around -inf 34.5
Simplified0.9
Final simplification0.9
herbie shell --seed 2022151
(FPCore (g a)
:name "2-ancestry mixing, zero discriminant"
:precision binary64
(cbrt (/ g (* 2.0 a))))