(FPCore (g h a) :precision binary64 (+ (cbrt (* (/ 1.0 (* 2.0 a)) (+ (- g) (sqrt (- (* g g) (* h h)))))) (cbrt (* (/ 1.0 (* 2.0 a)) (- (- g) (sqrt (- (* g g) (* h h))))))))
(FPCore (g h a)
:precision binary64
(let* ((t_0 (sqrt (- (* g g) (* h h)))))
(+
(/ (cbrt (* 0.5 (- (fabs t_0) g))) (cbrt a))
(/ (cbrt (* (+ g t_0) -0.5)) (cbrt a)))))double code(double g, double h, double a) {
return cbrt(((1.0 / (2.0 * a)) * (-g + sqrt(((g * g) - (h * h)))))) + cbrt(((1.0 / (2.0 * a)) * (-g - sqrt(((g * g) - (h * h))))));
}
double code(double g, double h, double a) {
double t_0 = sqrt(((g * g) - (h * h)));
return (cbrt((0.5 * (fabs(t_0) - g))) / cbrt(a)) + (cbrt(((g + t_0) * -0.5)) / cbrt(a));
}
public static double code(double g, double h, double a) {
return Math.cbrt(((1.0 / (2.0 * a)) * (-g + Math.sqrt(((g * g) - (h * h)))))) + Math.cbrt(((1.0 / (2.0 * a)) * (-g - Math.sqrt(((g * g) - (h * h))))));
}
public static double code(double g, double h, double a) {
double t_0 = Math.sqrt(((g * g) - (h * h)));
return (Math.cbrt((0.5 * (Math.abs(t_0) - g))) / Math.cbrt(a)) + (Math.cbrt(((g + t_0) * -0.5)) / Math.cbrt(a));
}
function code(g, h, a) return Float64(cbrt(Float64(Float64(1.0 / Float64(2.0 * a)) * Float64(Float64(-g) + sqrt(Float64(Float64(g * g) - Float64(h * h)))))) + cbrt(Float64(Float64(1.0 / Float64(2.0 * a)) * Float64(Float64(-g) - sqrt(Float64(Float64(g * g) - Float64(h * h))))))) end
function code(g, h, a) t_0 = sqrt(Float64(Float64(g * g) - Float64(h * h))) return Float64(Float64(cbrt(Float64(0.5 * Float64(abs(t_0) - g))) / cbrt(a)) + Float64(cbrt(Float64(Float64(g + t_0) * -0.5)) / cbrt(a))) end
code[g_, h_, a_] := N[(N[Power[N[(N[(1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision] * N[((-g) + N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(N[(1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision] * N[((-g) - N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
code[g_, h_, a_] := Block[{t$95$0 = N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[Power[N[(0.5 * N[(N[Abs[t$95$0], $MachinePrecision] - g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[(N[(g + t$95$0), $MachinePrecision] * -0.5), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)}
\begin{array}{l}
t_0 := \sqrt{g \cdot g - h \cdot h}\\
\frac{\sqrt[3]{0.5 \cdot \left(\left|t_0\right| - g\right)}}{\sqrt[3]{a}} + \frac{\sqrt[3]{\left(g + t_0\right) \cdot -0.5}}{\sqrt[3]{a}}
\end{array}



Bits error versus g



Bits error versus h



Bits error versus a
Results
Initial program 36.3
Simplified36.3
Applied egg-rr34.2
Applied egg-rr32.4
Applied egg-rr32.4
Final simplification32.4
herbie shell --seed 2022155
(FPCore (g h a)
:name "2-ancestry mixing, positive discriminant"
:precision binary64
(+ (cbrt (* (/ 1.0 (* 2.0 a)) (+ (- g) (sqrt (- (* g g) (* h h)))))) (cbrt (* (/ 1.0 (* 2.0 a)) (- (- g) (sqrt (- (* g g) (* h h))))))))