
(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 7 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 (* (* (cbrt (/ 2.0 a)) (cbrt g)) (cbrt -0.5)))
double code(double g, double h, double a) {
return (cbrt((2.0 / a)) * cbrt(g)) * cbrt(-0.5);
}
public static double code(double g, double h, double a) {
return (Math.cbrt((2.0 / a)) * Math.cbrt(g)) * Math.cbrt(-0.5);
}
function code(g, h, a) return Float64(Float64(cbrt(Float64(2.0 / a)) * cbrt(g)) * cbrt(-0.5)) end
code[g_, h_, a_] := N[(N[(N[Power[N[(2.0 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[g, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[-0.5, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt[3]{\frac{2}{a}} \cdot \sqrt[3]{g}\right) \cdot \sqrt[3]{-0.5}
\end{array}
Initial program 39.9%
Taylor expanded in g around inf
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6471.3%
Simplified71.3%
cbrt-unprodN/A
div-invN/A
associate-*l*N/A
cbrt-prodN/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6496.0%
Applied egg-rr96.0%
*-commutativeN/A
pow1/3N/A
sqr-powN/A
pow-prod-downN/A
sqr-negN/A
sub0-negN/A
sub0-negN/A
pow-prod-downN/A
sqr-powN/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
sqr-powN/A
pow-prod-downN/A
sub0-negN/A
sub0-negN/A
sqr-negN/A
pow-prod-downN/A
sqr-powN/A
pow1/3N/A
cbrt-lowering-cbrt.f6496.0%
Applied egg-rr96.0%
(FPCore (g h a) :precision binary64 (* (cbrt (/ 2.0 a)) (cbrt (* g -0.5))))
double code(double g, double h, double a) {
return cbrt((2.0 / a)) * cbrt((g * -0.5));
}
public static double code(double g, double h, double a) {
return Math.cbrt((2.0 / a)) * Math.cbrt((g * -0.5));
}
function code(g, h, a) return Float64(cbrt(Float64(2.0 / a)) * cbrt(Float64(g * -0.5))) end
code[g_, h_, a_] := N[(N[Power[N[(2.0 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(g * -0.5), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\frac{2}{a}} \cdot \sqrt[3]{g \cdot -0.5}
\end{array}
Initial program 39.9%
Taylor expanded in g around inf
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6471.3%
Simplified71.3%
cbrt-unprodN/A
div-invN/A
associate-*l*N/A
cbrt-prodN/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6496.0%
Applied egg-rr96.0%
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cbrt-unprodN/A
cbrt-lowering-cbrt.f64N/A
*-lowering-*.f6496.0%
Applied egg-rr96.0%
(FPCore (g h a) :precision binary64 (/ (cbrt g) (- 0.0 (cbrt a))))
double code(double g, double h, double a) {
return cbrt(g) / (0.0 - cbrt(a));
}
public static double code(double g, double h, double a) {
return Math.cbrt(g) / (0.0 - Math.cbrt(a));
}
function code(g, h, a) return Float64(cbrt(g) / Float64(0.0 - cbrt(a))) end
code[g_, h_, a_] := N[(N[Power[g, 1/3], $MachinePrecision] / N[(0.0 - N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt[3]{g}}{0 - \sqrt[3]{a}}
\end{array}
Initial program 39.9%
Taylor expanded in g around -inf
mul-1-negN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6471.5%
Simplified71.5%
cbrt-divN/A
cbrt-unprodN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6495.9%
Applied egg-rr95.9%
Final simplification95.9%
(FPCore (g h a) :precision binary64 (/ 1.0 (cbrt (/ (- 0.0 a) g))))
double code(double g, double h, double a) {
return 1.0 / cbrt(((0.0 - a) / g));
}
public static double code(double g, double h, double a) {
return 1.0 / Math.cbrt(((0.0 - a) / g));
}
function code(g, h, a) return Float64(1.0 / cbrt(Float64(Float64(0.0 - a) / g))) end
code[g_, h_, a_] := N[(1.0 / N[Power[N[(N[(0.0 - a), $MachinePrecision] / g), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt[3]{\frac{0 - a}{g}}}
\end{array}
Initial program 39.9%
Taylor expanded in g around inf
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6471.3%
Simplified71.3%
associate-*l*N/A
pow1/3N/A
sqr-powN/A
pow-prod-downN/A
metadata-evalN/A
metadata-evalN/A
pow-prod-downN/A
sqr-powN/A
pow1/3N/A
*-commutativeN/A
cbrt-unprodN/A
metadata-evalN/A
metadata-evalN/A
*-rgt-identityN/A
clear-numN/A
frac-2negN/A
metadata-evalN/A
cbrt-divN/A
Applied egg-rr72.8%
Final simplification72.8%
(FPCore (g h a) :precision binary64 (- 0.0 (pow (/ g a) 0.3333333333333333)))
double code(double g, double h, double a) {
return 0.0 - pow((g / a), 0.3333333333333333);
}
real(8) function code(g, h, a)
real(8), intent (in) :: g
real(8), intent (in) :: h
real(8), intent (in) :: a
code = 0.0d0 - ((g / a) ** 0.3333333333333333d0)
end function
public static double code(double g, double h, double a) {
return 0.0 - Math.pow((g / a), 0.3333333333333333);
}
def code(g, h, a): return 0.0 - math.pow((g / a), 0.3333333333333333)
function code(g, h, a) return Float64(0.0 - (Float64(g / a) ^ 0.3333333333333333)) end
function tmp = code(g, h, a) tmp = 0.0 - ((g / a) ^ 0.3333333333333333); end
code[g_, h_, a_] := N[(0.0 - N[Power[N[(g / a), $MachinePrecision], 0.3333333333333333], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0 - {\left(\frac{g}{a}\right)}^{0.3333333333333333}
\end{array}
Initial program 39.9%
Taylor expanded in g around -inf
mul-1-negN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6471.5%
Simplified71.5%
cbrt-unprodN/A
metadata-evalN/A
metadata-evalN/A
distribute-rgt-neg-outN/A
*-rgt-identityN/A
neg-lowering-neg.f64N/A
pow1/3N/A
pow-lowering-pow.f64N/A
/-lowering-/.f6433.2%
Applied egg-rr33.2%
Final simplification33.2%
(FPCore (g h a) :precision binary64 (- 0.0 (cbrt (/ g a))))
double code(double g, double h, double a) {
return 0.0 - cbrt((g / a));
}
public static double code(double g, double h, double a) {
return 0.0 - Math.cbrt((g / a));
}
function code(g, h, a) return Float64(0.0 - cbrt(Float64(g / a))) end
code[g_, h_, a_] := N[(0.0 - N[Power[N[(g / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0 - \sqrt[3]{\frac{g}{a}}
\end{array}
Initial program 39.9%
+-lowering-+.f64N/A
Simplified39.9%
cbrt-divN/A
clear-numN/A
cbrt-divN/A
/-lowering-/.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
/-lowering-/.f64N/A
--lowering--.f64N/A
rem-square-sqrtN/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6440.8%
Applied egg-rr40.8%
Taylor expanded in g around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f6472.1%
Simplified72.1%
(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 cbrt(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 39.9%
Taylor expanded in g around inf
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f64N/A
cbrt-lowering-cbrt.f64N/A
cbrt-lowering-cbrt.f6471.3%
Simplified71.3%
associate-*l*N/A
pow1/3N/A
sqr-powN/A
pow-prod-downN/A
metadata-evalN/A
metadata-evalN/A
pow-prod-downN/A
sqr-powN/A
pow1/3N/A
*-commutativeN/A
cbrt-unprodN/A
metadata-evalN/A
metadata-evalN/A
*-rgt-identityN/A
cbrt-lowering-cbrt.f64N/A
/-lowering-/.f641.4%
Applied egg-rr1.4%
herbie shell --seed 2024191
(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))))))))