
(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 8 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
(if (<= g -5e-281)
(+
(cbrt (/ (- g) a))
(* (pow (cbrt a) -1.0) (pow (* -0.25 (* (/ h g) h)) 0.3333333333333333)))
(+
(/ (cbrt (- (fma (sqrt (+ h g)) (sqrt (- g h)) g))) (cbrt (* a 2.0)))
(/ 1.0 (cbrt (/ (* -2.0 a) (* 0.0 g)))))))
double code(double g, double h, double a) {
double tmp;
if (g <= -5e-281) {
tmp = cbrt((-g / a)) + (pow(cbrt(a), -1.0) * pow((-0.25 * ((h / g) * h)), 0.3333333333333333));
} else {
tmp = (cbrt(-fma(sqrt((h + g)), sqrt((g - h)), g)) / cbrt((a * 2.0))) + (1.0 / cbrt(((-2.0 * a) / (0.0 * g))));
}
return tmp;
}
function code(g, h, a) tmp = 0.0 if (g <= -5e-281) tmp = Float64(cbrt(Float64(Float64(-g) / a)) + Float64((cbrt(a) ^ -1.0) * (Float64(-0.25 * Float64(Float64(h / g) * h)) ^ 0.3333333333333333))); else tmp = Float64(Float64(cbrt(Float64(-fma(sqrt(Float64(h + g)), sqrt(Float64(g - h)), g))) / cbrt(Float64(a * 2.0))) + Float64(1.0 / cbrt(Float64(Float64(-2.0 * a) / Float64(0.0 * g))))); end return tmp end
code[g_, h_, a_] := If[LessEqual[g, -5e-281], N[(N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision] + N[(N[Power[N[Power[a, 1/3], $MachinePrecision], -1.0], $MachinePrecision] * N[Power[N[(-0.25 * N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision], 0.3333333333333333], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[(-N[(N[Sqrt[N[(h + g), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(g - h), $MachinePrecision]], $MachinePrecision] + g), $MachinePrecision]), 1/3], $MachinePrecision] / N[Power[N[(a * 2.0), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Power[N[(N[(-2.0 * a), $MachinePrecision] / N[(0.0 * g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;g \leq -5 \cdot 10^{-281}:\\
\;\;\;\;\sqrt[3]{\frac{-g}{a}} + {\left(\sqrt[3]{a}\right)}^{-1} \cdot {\left(-0.25 \cdot \left(\frac{h}{g} \cdot h\right)\right)}^{0.3333333333333333}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt[3]{-\mathsf{fma}\left(\sqrt{h + g}, \sqrt{g - h}, g\right)}}{\sqrt[3]{a \cdot 2}} + \frac{1}{\sqrt[3]{\frac{-2 \cdot a}{0 \cdot g}}}\\
\end{array}
\end{array}
if g < -4.9999999999999998e-281Initial program 44.7%
Taylor expanded in g around inf
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6411.0
Applied rewrites11.0%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6471.4
Applied rewrites71.4%
Applied rewrites71.7%
Applied rewrites71.7%
if -4.9999999999999998e-281 < g Initial program 47.0%
Applied rewrites47.0%
lift-cbrt.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
cbrt-divN/A
*-lft-identityN/A
lower-/.f64N/A
Applied rewrites55.4%
Taylor expanded in g around -inf
lower-*.f64N/A
+-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
metadata-eval96.6
Applied rewrites96.6%
Final simplification84.4%
(FPCore (g h a)
:precision binary64
(if (<= g 9.6e-279)
(+ (* (cbrt (* (/ h g) h)) (cbrt (/ -0.25 a))) (cbrt (/ (- g) a)))
(+
(/ (cbrt (- (fma (sqrt (+ h g)) (sqrt (- g h)) g))) (cbrt (* a 2.0)))
(/ 1.0 (cbrt (/ (* -2.0 a) (* 0.0 g)))))))
double code(double g, double h, double a) {
double tmp;
if (g <= 9.6e-279) {
tmp = (cbrt(((h / g) * h)) * cbrt((-0.25 / a))) + cbrt((-g / a));
} else {
tmp = (cbrt(-fma(sqrt((h + g)), sqrt((g - h)), g)) / cbrt((a * 2.0))) + (1.0 / cbrt(((-2.0 * a) / (0.0 * g))));
}
return tmp;
}
function code(g, h, a) tmp = 0.0 if (g <= 9.6e-279) tmp = Float64(Float64(cbrt(Float64(Float64(h / g) * h)) * cbrt(Float64(-0.25 / a))) + cbrt(Float64(Float64(-g) / a))); else tmp = Float64(Float64(cbrt(Float64(-fma(sqrt(Float64(h + g)), sqrt(Float64(g - h)), g))) / cbrt(Float64(a * 2.0))) + Float64(1.0 / cbrt(Float64(Float64(-2.0 * a) / Float64(0.0 * g))))); end return tmp end
code[g_, h_, a_] := If[LessEqual[g, 9.6e-279], N[(N[(N[Power[N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(-0.25 / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] + N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[(-N[(N[Sqrt[N[(h + g), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(g - h), $MachinePrecision]], $MachinePrecision] + g), $MachinePrecision]), 1/3], $MachinePrecision] / N[Power[N[(a * 2.0), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Power[N[(N[(-2.0 * a), $MachinePrecision] / N[(0.0 * g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;g \leq 9.6 \cdot 10^{-279}:\\
\;\;\;\;\sqrt[3]{\frac{h}{g} \cdot h} \cdot \sqrt[3]{\frac{-0.25}{a}} + \sqrt[3]{\frac{-g}{a}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt[3]{-\mathsf{fma}\left(\sqrt{h + g}, \sqrt{g - h}, g\right)}}{\sqrt[3]{a \cdot 2}} + \frac{1}{\sqrt[3]{\frac{-2 \cdot a}{0 \cdot g}}}\\
\end{array}
\end{array}
if g < 9.59999999999999959e-279Initial program 44.7%
Taylor expanded in g around inf
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6411.0
Applied rewrites11.0%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6471.4
Applied rewrites71.4%
Applied rewrites71.7%
if 9.59999999999999959e-279 < g Initial program 47.0%
Applied rewrites47.0%
lift-cbrt.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
cbrt-divN/A
*-lft-identityN/A
lower-/.f64N/A
Applied rewrites55.4%
Taylor expanded in g around -inf
lower-*.f64N/A
+-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
metadata-eval96.6
Applied rewrites96.6%
Final simplification84.4%
(FPCore (g h a)
:precision binary64
(let* ((t_0 (* (* g g) a)))
(if (<= (/ 1.0 (* a 2.0)) 5e+176)
(+ (* (cbrt (* (/ h g) h)) (cbrt (/ -0.25 a))) (cbrt (/ (- g) a)))
(* (* (/ -1.0 (cbrt 2.0)) (+ (cbrt (/ 2.0 t_0)) (cbrt (/ 0.0 t_0)))) g))))
double code(double g, double h, double a) {
double t_0 = (g * g) * a;
double tmp;
if ((1.0 / (a * 2.0)) <= 5e+176) {
tmp = (cbrt(((h / g) * h)) * cbrt((-0.25 / a))) + cbrt((-g / a));
} else {
tmp = ((-1.0 / cbrt(2.0)) * (cbrt((2.0 / t_0)) + cbrt((0.0 / t_0)))) * g;
}
return tmp;
}
public static double code(double g, double h, double a) {
double t_0 = (g * g) * a;
double tmp;
if ((1.0 / (a * 2.0)) <= 5e+176) {
tmp = (Math.cbrt(((h / g) * h)) * Math.cbrt((-0.25 / a))) + Math.cbrt((-g / a));
} else {
tmp = ((-1.0 / Math.cbrt(2.0)) * (Math.cbrt((2.0 / t_0)) + Math.cbrt((0.0 / t_0)))) * g;
}
return tmp;
}
function code(g, h, a) t_0 = Float64(Float64(g * g) * a) tmp = 0.0 if (Float64(1.0 / Float64(a * 2.0)) <= 5e+176) tmp = Float64(Float64(cbrt(Float64(Float64(h / g) * h)) * cbrt(Float64(-0.25 / a))) + cbrt(Float64(Float64(-g) / a))); else tmp = Float64(Float64(Float64(-1.0 / cbrt(2.0)) * Float64(cbrt(Float64(2.0 / t_0)) + cbrt(Float64(0.0 / t_0)))) * g); end return tmp end
code[g_, h_, a_] := Block[{t$95$0 = N[(N[(g * g), $MachinePrecision] * a), $MachinePrecision]}, If[LessEqual[N[(1.0 / N[(a * 2.0), $MachinePrecision]), $MachinePrecision], 5e+176], N[(N[(N[Power[N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(-0.25 / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] + N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], N[(N[(N[(-1.0 / N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 / t$95$0), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(0.0 / t$95$0), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * g), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(g \cdot g\right) \cdot a\\
\mathbf{if}\;\frac{1}{a \cdot 2} \leq 5 \cdot 10^{+176}:\\
\;\;\;\;\sqrt[3]{\frac{h}{g} \cdot h} \cdot \sqrt[3]{\frac{-0.25}{a}} + \sqrt[3]{\frac{-g}{a}}\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{-1}{\sqrt[3]{2}} \cdot \left(\sqrt[3]{\frac{2}{t\_0}} + \sqrt[3]{\frac{0}{t\_0}}\right)\right) \cdot g\\
\end{array}
\end{array}
if (/.f64 #s(literal 1 binary64) (*.f64 #s(literal 2 binary64) a)) < 5e176Initial program 47.6%
Taylor expanded in g around inf
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6430.1
Applied rewrites30.1%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6478.0
Applied rewrites78.0%
Applied rewrites78.2%
if 5e176 < (/.f64 #s(literal 1 binary64) (*.f64 #s(literal 2 binary64) a)) Initial program 30.4%
Applied rewrites33.2%
lift-cbrt.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
cbrt-divN/A
*-lft-identityN/A
lower-/.f64N/A
Applied rewrites38.1%
Taylor expanded in g around -inf
associate-*r*N/A
mul-1-negN/A
lower-*.f64N/A
lower-neg.f64N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
Applied rewrites55.2%
Final simplification75.9%
(FPCore (g h a) :precision binary64 (+ (* (cbrt (* (/ h g) h)) (cbrt (/ -0.25 a))) (cbrt (/ (- g) a))))
double code(double g, double h, double a) {
return (cbrt(((h / g) * h)) * cbrt((-0.25 / a))) + cbrt((-g / a));
}
public static double code(double g, double h, double a) {
return (Math.cbrt(((h / g) * h)) * Math.cbrt((-0.25 / a))) + Math.cbrt((-g / a));
}
function code(g, h, a) return Float64(Float64(cbrt(Float64(Float64(h / g) * h)) * cbrt(Float64(-0.25 / a))) + cbrt(Float64(Float64(-g) / a))) end
code[g_, h_, a_] := N[(N[(N[Power[N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(-0.25 / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] + N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\frac{h}{g} \cdot h} \cdot \sqrt[3]{\frac{-0.25}{a}} + \sqrt[3]{\frac{-g}{a}}
\end{array}
Initial program 45.9%
Taylor expanded in g around inf
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6429.4
Applied rewrites29.4%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6473.5
Applied rewrites73.5%
Applied rewrites73.7%
Final simplification73.7%
(FPCore (g h a) :precision binary64 (+ (* (cbrt (* (/ -0.25 a) (/ h g))) (cbrt h)) (cbrt (/ (- g) a))))
double code(double g, double h, double a) {
return (cbrt(((-0.25 / a) * (h / g))) * cbrt(h)) + cbrt((-g / a));
}
public static double code(double g, double h, double a) {
return (Math.cbrt(((-0.25 / a) * (h / g))) * Math.cbrt(h)) + Math.cbrt((-g / a));
}
function code(g, h, a) return Float64(Float64(cbrt(Float64(Float64(-0.25 / a) * Float64(h / g))) * cbrt(h)) + cbrt(Float64(Float64(-g) / a))) end
code[g_, h_, a_] := N[(N[(N[Power[N[(N[(-0.25 / a), $MachinePrecision] * N[(h / g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[h, 1/3], $MachinePrecision]), $MachinePrecision] + N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\frac{-0.25}{a} \cdot \frac{h}{g}} \cdot \sqrt[3]{h} + \sqrt[3]{\frac{-g}{a}}
\end{array}
Initial program 45.9%
Taylor expanded in g around inf
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6429.4
Applied rewrites29.4%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6473.5
Applied rewrites73.5%
Applied rewrites73.7%
Final simplification73.7%
(FPCore (g h a) :precision binary64 (+ (cbrt (* (* (/ -0.25 a) h) (/ h g))) (cbrt (/ (- g) a))))
double code(double g, double h, double a) {
return cbrt((((-0.25 / a) * h) * (h / g))) + cbrt((-g / a));
}
public static double code(double g, double h, double a) {
return Math.cbrt((((-0.25 / a) * h) * (h / g))) + Math.cbrt((-g / a));
}
function code(g, h, a) return Float64(cbrt(Float64(Float64(Float64(-0.25 / a) * h) * Float64(h / g))) + cbrt(Float64(Float64(-g) / a))) end
code[g_, h_, a_] := N[(N[Power[N[(N[(N[(-0.25 / a), $MachinePrecision] * h), $MachinePrecision] * N[(h / g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[((-g) / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\left(\frac{-0.25}{a} \cdot h\right) \cdot \frac{h}{g}} + \sqrt[3]{\frac{-g}{a}}
\end{array}
Initial program 45.9%
Taylor expanded in g around inf
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6429.4
Applied rewrites29.4%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6473.5
Applied rewrites73.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6473.5
Applied rewrites73.5%
Final simplification73.5%
(FPCore (g h a) :precision binary64 (* (cbrt -1.0) (cbrt (/ g a))))
double code(double g, double h, double a) {
return cbrt(-1.0) * cbrt((g / a));
}
public static double code(double g, double h, double a) {
return Math.cbrt(-1.0) * Math.cbrt((g / a));
}
function code(g, h, a) return Float64(cbrt(-1.0) * cbrt(Float64(g / a))) end
code[g_, h_, a_] := N[(N[Power[-1.0, 1/3], $MachinePrecision] * N[Power[N[(g / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{-1} \cdot \sqrt[3]{\frac{g}{a}}
\end{array}
Initial program 45.9%
Applied rewrites46.1%
lift-cbrt.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
cbrt-divN/A
*-lft-identityN/A
lower-/.f64N/A
Applied rewrites28.4%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f6472.3
Applied rewrites72.3%
Final simplification72.3%
(FPCore (g h a) :precision binary64 0.0)
double code(double g, double h, double a) {
return 0.0;
}
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
end function
public static double code(double g, double h, double a) {
return 0.0;
}
def code(g, h, a): return 0.0
function code(g, h, a) return 0.0 end
function tmp = code(g, h, a) tmp = 0.0; end
code[g_, h_, a_] := 0.0
\begin{array}{l}
\\
0
\end{array}
Initial program 45.9%
lift-cbrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lift-*.f64N/A
associate-/r*N/A
cbrt-divN/A
lower-/.f64N/A
Applied rewrites48.3%
Taylor expanded in g around -inf
mul-1-negN/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-*.f64N/A
+-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
metadata-evalN/A
lower-cbrt.f643.0
Applied rewrites3.0%
Taylor expanded in a around 0
Applied rewrites3.0%
herbie shell --seed 2024268
(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))))))))