| Alternative 1 | |
|---|---|
| Error | 2.6 |
| Cost | 33728 |
\[\sqrt[3]{\frac{0.5}{a} \cdot \left(\mathsf{fma}\left(-0.5, \frac{h}{\frac{g}{h}}, g\right) - g\right)} + \frac{\sqrt[3]{-0.5 \cdot \mathsf{fma}\left(-0.5, h \cdot \frac{h}{g}, g + g\right)}}{\sqrt[3]{a}}
\]
(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 (* h (/ h g))))
(+
(/ (cbrt (* (- (fma -0.5 t_0 g) g) 0.5)) (cbrt a))
(* (cbrt (fma -0.5 t_0 (+ g g))) (cbrt (/ -0.5 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 = h * (h / g);
return (cbrt(((fma(-0.5, t_0, g) - g) * 0.5)) / cbrt(a)) + (cbrt(fma(-0.5, t_0, (g + g))) * cbrt((-0.5 / 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 = Float64(h * Float64(h / g)) return Float64(Float64(cbrt(Float64(Float64(fma(-0.5, t_0, g) - g) * 0.5)) / cbrt(a)) + Float64(cbrt(fma(-0.5, t_0, Float64(g + g))) * cbrt(Float64(-0.5 / 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[(h * N[(h / g), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[N[(N[(N[(-0.5 * t$95$0 + g), $MachinePrecision] - g), $MachinePrecision] * 0.5), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[(-0.5 * t$95$0 + N[(g + g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(-0.5 / a), $MachinePrecision], 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 := h \cdot \frac{h}{g}\\
\frac{\sqrt[3]{\left(\mathsf{fma}\left(-0.5, t_0, g\right) - g\right) \cdot 0.5}}{\sqrt[3]{a}} + \sqrt[3]{\mathsf{fma}\left(-0.5, t_0, g + g\right)} \cdot \sqrt[3]{\frac{-0.5}{a}}
\end{array}
Initial program 35.8
Simplified35.8
Taylor expanded in g around inf 46.7
Simplified46.7
Taylor expanded in g around inf 19.2
Simplified17.0
Applied egg-rr2.6
Applied egg-rr2.4
Final simplification2.4
| Alternative 1 | |
|---|---|
| Error | 2.6 |
| Cost | 33728 |
| Alternative 2 | |
|---|---|
| Error | 2.6 |
| Cost | 33728 |
| Alternative 3 | |
|---|---|
| Error | 2.9 |
| Cost | 33344 |
| Alternative 4 | |
|---|---|
| Error | 2.8 |
| Cost | 20288 |
| Alternative 5 | |
|---|---|
| Error | 2.8 |
| Cost | 19968 |
| Alternative 6 | |
|---|---|
| Error | 16.9 |
| Cost | 14016 |
| Alternative 7 | |
|---|---|
| Error | 17.3 |
| Cost | 13760 |
| Alternative 8 | |
|---|---|
| Error | 17.3 |
| Cost | 13568 |
| Alternative 9 | |
|---|---|
| Error | 63.2 |
| Cost | 13504 |

herbie shell --seed 2022292
(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))))))))