
(FPCore (g h a) :precision binary64 (let* ((t_0 (/ 1.0 (* 2.0 a))) (t_1 (sqrt (- (* g g) (* h h))))) (+ (cbrt (* t_0 (+ (- g) t_1))) (cbrt (* t_0 (- (- g) t_1))))))
double code(double g, double h, double a) {
double t_0 = 1.0 / (2.0 * a);
double t_1 = sqrt(((g * g) - (h * h)));
return cbrt((t_0 * (-g + t_1))) + cbrt((t_0 * (-g - t_1)));
}
public static double code(double g, double h, double a) {
double t_0 = 1.0 / (2.0 * a);
double t_1 = Math.sqrt(((g * g) - (h * h)));
return Math.cbrt((t_0 * (-g + t_1))) + Math.cbrt((t_0 * (-g - t_1)));
}
function code(g, h, a) t_0 = Float64(1.0 / Float64(2.0 * a)) t_1 = sqrt(Float64(Float64(g * g) - Float64(h * h))) return Float64(cbrt(Float64(t_0 * Float64(Float64(-g) + t_1))) + cbrt(Float64(t_0 * Float64(Float64(-g) - t_1)))) end
code[g_, h_, a_] := Block[{t$95$0 = N[(1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(N[Power[N[(t$95$0 * N[((-g) + t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(t$95$0 * N[((-g) - t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{2 \cdot a}\\
t_1 := \sqrt{g \cdot g - h \cdot h}\\
\sqrt[3]{t\_0 \cdot \left(\left(-g\right) + t\_1\right)} + \sqrt[3]{t\_0 \cdot \left(\left(-g\right) - t\_1\right)}
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 6 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (g h a) :precision binary64 (let* ((t_0 (/ 1.0 (* 2.0 a))) (t_1 (sqrt (- (* g g) (* h h))))) (+ (cbrt (* t_0 (+ (- g) t_1))) (cbrt (* t_0 (- (- g) t_1))))))
double code(double g, double h, double a) {
double t_0 = 1.0 / (2.0 * a);
double t_1 = sqrt(((g * g) - (h * h)));
return cbrt((t_0 * (-g + t_1))) + cbrt((t_0 * (-g - t_1)));
}
public static double code(double g, double h, double a) {
double t_0 = 1.0 / (2.0 * a);
double t_1 = Math.sqrt(((g * g) - (h * h)));
return Math.cbrt((t_0 * (-g + t_1))) + Math.cbrt((t_0 * (-g - t_1)));
}
function code(g, h, a) t_0 = Float64(1.0 / Float64(2.0 * a)) t_1 = sqrt(Float64(Float64(g * g) - Float64(h * h))) return Float64(cbrt(Float64(t_0 * Float64(Float64(-g) + t_1))) + cbrt(Float64(t_0 * Float64(Float64(-g) - t_1)))) end
code[g_, h_, a_] := Block[{t$95$0 = N[(1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(N[Power[N[(t$95$0 * N[((-g) + t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(t$95$0 * N[((-g) - t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{2 \cdot a}\\
t_1 := \sqrt{g \cdot g - h \cdot h}\\
\sqrt[3]{t\_0 \cdot \left(\left(-g\right) + t\_1\right)} + \sqrt[3]{t\_0 \cdot \left(\left(-g\right) - t\_1\right)}
\end{array}
\end{array}
(FPCore (g h a) :precision binary64 (fma (* (/ (cbrt g) (cbrt a)) (cbrt -0.5)) (pow 4.0 0.16666666666666666) (* (/ (cbrt (* (/ h g) h)) (cbrt a)) (* (cbrt 0.5) (cbrt -0.5)))))
double code(double g, double h, double a) {
return fma(((cbrt(g) / cbrt(a)) * cbrt(-0.5)), pow(4.0, 0.16666666666666666), ((cbrt(((h / g) * h)) / cbrt(a)) * (cbrt(0.5) * cbrt(-0.5))));
}
function code(g, h, a) return fma(Float64(Float64(cbrt(g) / cbrt(a)) * cbrt(-0.5)), (4.0 ^ 0.16666666666666666), Float64(Float64(cbrt(Float64(Float64(h / g) * h)) / cbrt(a)) * Float64(cbrt(0.5) * cbrt(-0.5)))) end
code[g_, h_, a_] := N[(N[(N[(N[Power[g, 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[-0.5, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[4.0, 0.16666666666666666], $MachinePrecision] + N[(N[(N[Power[N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[0.5, 1/3], $MachinePrecision] * N[Power[-0.5, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(\frac{\sqrt[3]{g}}{\sqrt[3]{a}} \cdot \sqrt[3]{-0.5}, {4}^{0.16666666666666666}, \frac{\sqrt[3]{\frac{h}{g} \cdot h}}{\sqrt[3]{a}} \cdot \left(\sqrt[3]{0.5} \cdot \sqrt[3]{-0.5}\right)\right)
\end{array}
Initial program 42.2%
Taylor expanded in h around 0
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
*-commutativeN/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6471.0
Applied rewrites71.0%
Applied rewrites92.7%
Applied rewrites97.5%
Applied rewrites98.1%
(FPCore (g h a) :precision binary64 (fma (/ (cbrt (* -0.5 g)) (cbrt a)) (cbrt 2.0) (* (/ (cbrt (* (/ h g) h)) (cbrt a)) (* (cbrt 0.5) (cbrt -0.5)))))
double code(double g, double h, double a) {
return fma((cbrt((-0.5 * g)) / cbrt(a)), cbrt(2.0), ((cbrt(((h / g) * h)) / cbrt(a)) * (cbrt(0.5) * cbrt(-0.5))));
}
function code(g, h, a) return fma(Float64(cbrt(Float64(-0.5 * g)) / cbrt(a)), cbrt(2.0), Float64(Float64(cbrt(Float64(Float64(h / g) * h)) / cbrt(a)) * Float64(cbrt(0.5) * cbrt(-0.5)))) end
code[g_, h_, a_] := N[(N[(N[Power[N[(-0.5 * g), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision] + N[(N[(N[Power[N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[0.5, 1/3], $MachinePrecision] * N[Power[-0.5, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(\frac{\sqrt[3]{-0.5 \cdot g}}{\sqrt[3]{a}}, \sqrt[3]{2}, \frac{\sqrt[3]{\frac{h}{g} \cdot h}}{\sqrt[3]{a}} \cdot \left(\sqrt[3]{0.5} \cdot \sqrt[3]{-0.5}\right)\right)
\end{array}
Initial program 42.2%
Taylor expanded in h around 0
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
*-commutativeN/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6471.0
Applied rewrites71.0%
Applied rewrites92.7%
Applied rewrites97.5%
Applied rewrites97.7%
(FPCore (g h a) :precision binary64 (fma (* (/ (cbrt g) (cbrt a)) (cbrt -0.5)) (cbrt 2.0) (* (/ (cbrt (* (/ h g) h)) (cbrt a)) (cbrt -0.25))))
double code(double g, double h, double a) {
return fma(((cbrt(g) / cbrt(a)) * cbrt(-0.5)), cbrt(2.0), ((cbrt(((h / g) * h)) / cbrt(a)) * cbrt(-0.25)));
}
function code(g, h, a) return fma(Float64(Float64(cbrt(g) / cbrt(a)) * cbrt(-0.5)), cbrt(2.0), Float64(Float64(cbrt(Float64(Float64(h / g) * h)) / cbrt(a)) * cbrt(-0.25))) end
code[g_, h_, a_] := N[(N[(N[(N[Power[g, 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[-0.5, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision] + N[(N[(N[Power[N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[-0.25, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(\frac{\sqrt[3]{g}}{\sqrt[3]{a}} \cdot \sqrt[3]{-0.5}, \sqrt[3]{2}, \frac{\sqrt[3]{\frac{h}{g} \cdot h}}{\sqrt[3]{a}} \cdot \sqrt[3]{-0.25}\right)
\end{array}
Initial program 42.2%
Taylor expanded in h around 0
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
*-commutativeN/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6471.0
Applied rewrites71.0%
Applied rewrites92.7%
Applied rewrites97.5%
Applied rewrites97.5%
(FPCore (g h a) :precision binary64 (/ (* (cbrt g) (cbrt -1.0)) (cbrt a)))
double code(double g, double h, double a) {
return (cbrt(g) * cbrt(-1.0)) / cbrt(a);
}
public static double code(double g, double h, double a) {
return (Math.cbrt(g) * Math.cbrt(-1.0)) / Math.cbrt(a);
}
function code(g, h, a) return Float64(Float64(cbrt(g) * cbrt(-1.0)) / cbrt(a)) end
code[g_, h_, a_] := N[(N[(N[Power[g, 1/3], $MachinePrecision] * N[Power[-1.0, 1/3], $MachinePrecision]), $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt[3]{g} \cdot \sqrt[3]{-1}}{\sqrt[3]{a}}
\end{array}
Initial program 42.2%
lift-cbrt.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
cbrt-divN/A
*-lft-identityN/A
lower-/.f64N/A
Applied rewrites45.9%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f6470.1
Applied rewrites70.1%
Applied rewrites95.9%
(FPCore (g h a) :precision binary64 (+ (cbrt (* (/ (* (/ h g) h) a) -0.25)) (cbrt (/ (- g) a))))
double code(double g, double h, double a) {
return cbrt(((((h / g) * h) / a) * -0.25)) + cbrt((-g / a));
}
public static double code(double g, double h, double a) {
return Math.cbrt(((((h / g) * h) / a) * -0.25)) + Math.cbrt((-g / a));
}
function code(g, h, a) return Float64(cbrt(Float64(Float64(Float64(Float64(h / g) * h) / a) * -0.25)) + cbrt(Float64(Float64(-g) / a))) end
code[g_, h_, a_] := N[(N[Power[N[(N[(N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision] / a), $MachinePrecision] * -0.25), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\frac{\frac{h}{g} \cdot h}{a} \cdot -0.25} + \sqrt[3]{\frac{-g}{a}}
\end{array}
Initial program 42.2%
Taylor expanded in h around 0
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
*-commutativeN/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6471.0
Applied rewrites71.0%
Applied rewrites92.7%
Applied rewrites97.5%
Applied rewrites71.8%
Final simplification71.8%
(FPCore (g h a) :precision binary64 (cbrt (/ (- g) a)))
double code(double g, double h, double a) {
return cbrt((-g / a));
}
public static double code(double g, double h, double a) {
return Math.cbrt((-g / a));
}
function code(g, h, a) return cbrt(Float64(Float64(-g) / a)) end
code[g_, h_, a_] := N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\frac{-g}{a}}
\end{array}
Initial program 42.2%
lift-cbrt.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
cbrt-divN/A
*-lft-identityN/A
lower-/.f64N/A
Applied rewrites45.9%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f6470.1
Applied rewrites70.1%
Applied rewrites70.1%
Final simplification70.1%
herbie shell --seed 2024332
(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))))))))