
(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}
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}
Herbie found 5 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}
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}
(FPCore (g h a) :precision binary64 (* (cbrt (/ -0.5 a)) (cbrt (+ g g))))
double code(double g, double h, double a) {
return cbrt((-0.5 / a)) * cbrt((g + g));
}
public static double code(double g, double h, double a) {
return Math.cbrt((-0.5 / a)) * Math.cbrt((g + g));
}
function code(g, h, a) return Float64(cbrt(Float64(-0.5 / a)) * cbrt(Float64(g + g))) end
code[g_, h_, a_] := N[(N[Power[N[(-0.5 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(g + g), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\sqrt[3]{\frac{-0.5}{a}} \cdot \sqrt[3]{g + g}
Initial program 43.9%
Taylor expanded in g around inf
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6495.1
Applied rewrites95.1%
lift-/.f64N/A
frac-2negN/A
distribute-frac-negN/A
lift-*.f64N/A
lift-cbrt.f64N/A
pow1/3N/A
lift-*.f64N/A
lift-cbrt.f64N/A
lift-cbrt.f64N/A
cbrt-unprodN/A
metadata-evalN/A
pow1/3N/A
pow-prod-downN/A
*-commutativeN/A
mul-1-negN/A
lift-neg.f64N/A
pow1/3N/A
lift-neg.f64N/A
mul-1-negN/A
*-commutativeN/A
*-commutativeN/A
mul-1-negN/A
cbrt-neg-revN/A
lift-cbrt.f64N/A
Applied rewrites73.5%
lift-cbrt.f64N/A
pow1/3N/A
lower-pow.f6435.1
Applied rewrites35.1%
lift-neg.f64N/A
lift-pow.f64N/A
unpow1/3N/A
lift-/.f64N/A
cbrt-divN/A
*-rgt-identityN/A
metadata-evalN/A
distribute-rgt-neg-outN/A
metadata-evalN/A
associate-*l*N/A
lift-*.f64N/A
cbrt-neg-revN/A
cbrt-unprodN/A
lift-cbrt.f64N/A
lift-cbrt.f64N/A
lift-*.f64N/A
lift-cbrt.f64N/A
distribute-frac-neg2N/A
frac-2negN/A
lift-*.f64N/A
associate-/l*N/A
Applied rewrites95.7%
(FPCore (g h a) :precision binary64 (* (/ -1.0 (cbrt a)) (cbrt g)))
double code(double g, double h, double a) {
return (-1.0 / cbrt(a)) * cbrt(g);
}
public static double code(double g, double h, double a) {
return (-1.0 / Math.cbrt(a)) * Math.cbrt(g);
}
function code(g, h, a) return Float64(Float64(-1.0 / cbrt(a)) * cbrt(g)) end
code[g_, h_, a_] := N[(N[(-1.0 / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[g, 1/3], $MachinePrecision]), $MachinePrecision]
\frac{-1}{\sqrt[3]{a}} \cdot \sqrt[3]{g}
Initial program 43.9%
Taylor expanded in g around inf
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6495.1
Applied rewrites95.1%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-cbrt.f64N/A
lift-cbrt.f64N/A
cbrt-unprodN/A
metadata-evalN/A
lift-cbrt.f64N/A
lower-*.f64N/A
metadata-evalN/A
cbrt-neg-revN/A
metadata-evalN/A
metadata-evalN/A
lift-cbrt.f64N/A
lower-/.f6495.7
Applied rewrites95.7%
(FPCore (g h a) :precision binary64 (/ (cbrt g) (- (cbrt a))))
double code(double g, double h, double a) {
return cbrt(g) / -cbrt(a);
}
public static double code(double g, double h, double a) {
return Math.cbrt(g) / -Math.cbrt(a);
}
function code(g, h, a) return Float64(cbrt(g) / Float64(-cbrt(a))) end
code[g_, h_, a_] := N[(N[Power[g, 1/3], $MachinePrecision] / (-N[Power[a, 1/3], $MachinePrecision])), $MachinePrecision]
\frac{\sqrt[3]{g}}{-\sqrt[3]{a}}
Initial program 43.9%
Taylor expanded in g around inf
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6495.1
Applied rewrites95.1%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-cbrt.f64N/A
lift-cbrt.f64N/A
cbrt-unprodN/A
metadata-evalN/A
lift-cbrt.f64N/A
lower-*.f64N/A
metadata-evalN/A
cbrt-neg-revN/A
metadata-evalN/A
metadata-evalN/A
lift-cbrt.f64N/A
lower-/.f6495.7
Applied rewrites95.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
metadata-evalN/A
mult-flip-revN/A
lower-/.f64N/A
lower-neg.f6495.8
Applied rewrites95.8%
(FPCore (g h a) :precision binary64 (/ -1.0 (cbrt (/ a g))))
double code(double g, double h, double a) {
return -1.0 / cbrt((a / g));
}
public static double code(double g, double h, double a) {
return -1.0 / Math.cbrt((a / g));
}
function code(g, h, a) return Float64(-1.0 / cbrt(Float64(a / g))) end
code[g_, h_, a_] := N[(-1.0 / N[Power[N[(a / g), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\frac{-1}{\sqrt[3]{\frac{a}{g}}}
Initial program 43.9%
Taylor expanded in g around inf
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6495.1
Applied rewrites95.1%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-cbrt.f64N/A
lift-cbrt.f64N/A
cbrt-unprodN/A
metadata-evalN/A
lift-cbrt.f64N/A
lower-*.f64N/A
metadata-evalN/A
cbrt-neg-revN/A
metadata-evalN/A
metadata-evalN/A
lift-cbrt.f64N/A
lower-/.f6495.7
Applied rewrites95.7%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
mul-1-negN/A
lift-cbrt.f64N/A
cbrt-neg-revN/A
lift-neg.f64N/A
lift-cbrt.f64N/A
cbrt-divN/A
div-flip-revN/A
lift-/.f64N/A
frac-2negN/A
metadata-evalN/A
cbrt-divN/A
metadata-evalN/A
cbrt-neg-revN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
lower-cbrt.f64N/A
lift-/.f64N/A
distribute-neg-fracN/A
lift-neg.f64N/A
frac-2negN/A
lower-/.f6474.1
Applied rewrites74.1%
(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 Float64(-cbrt(Float64(g / a))) end
code[g_, h_, a_] := (-N[Power[N[(g / a), $MachinePrecision], 1/3], $MachinePrecision])
-\sqrt[3]{\frac{g}{a}}
Initial program 43.9%
Taylor expanded in g around inf
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6495.1
Applied rewrites95.1%
lift-/.f64N/A
frac-2negN/A
distribute-frac-negN/A
lift-*.f64N/A
lift-cbrt.f64N/A
pow1/3N/A
lift-*.f64N/A
lift-cbrt.f64N/A
lift-cbrt.f64N/A
cbrt-unprodN/A
metadata-evalN/A
pow1/3N/A
pow-prod-downN/A
*-commutativeN/A
mul-1-negN/A
lift-neg.f64N/A
pow1/3N/A
lift-neg.f64N/A
mul-1-negN/A
*-commutativeN/A
*-commutativeN/A
mul-1-negN/A
cbrt-neg-revN/A
lift-cbrt.f64N/A
Applied rewrites73.5%
herbie shell --seed 2025175
(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))))))))