
(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 4 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 g)) (cbrt (/ 0.5 a))))
double code(double g, double h, double a) {
return cbrt((-2.0 * g)) * cbrt((0.5 / a));
}
public static double code(double g, double h, double a) {
return Math.cbrt((-2.0 * g)) * Math.cbrt((0.5 / a));
}
function code(g, h, a) return Float64(cbrt(Float64(-2.0 * g)) * cbrt(Float64(0.5 / a))) end
code[g_, h_, a_] := N[(N[Power[N[(-2.0 * g), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(0.5 / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{-2 \cdot g} \cdot \sqrt[3]{\frac{0.5}{a}}
\end{array}
Initial program 38.3%
Taylor expanded in g around inf
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6424.3
Applied rewrites24.3%
lift-+.f64N/A
+-commutativeN/A
lift-cbrt.f64N/A
lift-*.f64N/A
cbrt-prodN/A
lift-cbrt.f64N/A
lift-*.f64N/A
Applied rewrites29.3%
Taylor expanded in g around inf
lower-*.f64N/A
lower-cbrt.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6495.9
Applied rewrites95.9%
Applied rewrites96.4%
Final simplification96.4%
(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(Float64(-g)) / cbrt(a)) end
code[g_, h_, a_] := N[(N[Power[(-g), 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt[3]{-g}}{\sqrt[3]{a}}
\end{array}
Initial program 38.3%
lift-cbrt.f64N/A
pow1/3N/A
lift-*.f64N/A
unpow-prod-downN/A
lower-*.f64N/A
pow1/3N/A
lower-cbrt.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lower-/.f64N/A
pow1/3N/A
lower-cbrt.f6441.9
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6441.9
Applied rewrites41.9%
Taylor expanded in g around inf
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6470.0
Applied rewrites70.0%
Applied rewrites96.3%
(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 38.3%
lift-cbrt.f64N/A
pow1/3N/A
lift-*.f64N/A
unpow-prod-downN/A
lower-*.f64N/A
pow1/3N/A
lower-cbrt.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lower-/.f64N/A
pow1/3N/A
lower-cbrt.f6441.9
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6441.9
Applied rewrites41.9%
Taylor expanded in g around inf
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-cbrt.f64N/A
lower-/.f64N/A
lower-cbrt.f64N/A
lower-cbrt.f6470.0
Applied rewrites70.0%
Applied rewrites70.7%
(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 38.3%
lift-cbrt.f64N/A
pow1/3N/A
lift-*.f64N/A
unpow-prod-downN/A
lower-*.f64N/A
pow1/3N/A
lower-cbrt.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lower-/.f64N/A
pow1/3N/A
lower-cbrt.f6441.9
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6441.9
Applied rewrites41.9%
Taylor expanded in g around -inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-cbrt.f64N/A
*-commutativeN/A
*-lft-identityN/A
times-fracN/A
unpow2N/A
rem-square-sqrtN/A
metadata-evalN/A
times-fracN/A
mul0-lftN/A
mul0-lftN/A
metadata-evalN/A
distribute-rgt1-inN/A
*-lft-identityN/A
Applied rewrites2.9%
Applied rewrites2.9%
herbie shell --seed 2024288
(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))))))))