
(FPCore (g h) :precision binary64 (* 2.0 (cos (+ (/ (* 2.0 PI) 3.0) (/ (acos (/ (- g) h)) 3.0)))))
double code(double g, double h) {
return 2.0 * cos((((2.0 * ((double) M_PI)) / 3.0) + (acos((-g / h)) / 3.0)));
}
public static double code(double g, double h) {
return 2.0 * Math.cos((((2.0 * Math.PI) / 3.0) + (Math.acos((-g / h)) / 3.0)));
}
def code(g, h): return 2.0 * math.cos((((2.0 * math.pi) / 3.0) + (math.acos((-g / h)) / 3.0)))
function code(g, h) return Float64(2.0 * cos(Float64(Float64(Float64(2.0 * pi) / 3.0) + Float64(acos(Float64(Float64(-g) / h)) / 3.0)))) end
function tmp = code(g, h) tmp = 2.0 * cos((((2.0 * pi) / 3.0) + (acos((-g / h)) / 3.0))); end
code[g_, h_] := N[(2.0 * N[Cos[N[(N[(N[(2.0 * Pi), $MachinePrecision] / 3.0), $MachinePrecision] + N[(N[ArcCos[N[((-g) / h), $MachinePrecision]], $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \cos \left(\frac{2 \cdot \pi}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 4 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (g h) :precision binary64 (* 2.0 (cos (+ (/ (* 2.0 PI) 3.0) (/ (acos (/ (- g) h)) 3.0)))))
double code(double g, double h) {
return 2.0 * cos((((2.0 * ((double) M_PI)) / 3.0) + (acos((-g / h)) / 3.0)));
}
public static double code(double g, double h) {
return 2.0 * Math.cos((((2.0 * Math.PI) / 3.0) + (Math.acos((-g / h)) / 3.0)));
}
def code(g, h): return 2.0 * math.cos((((2.0 * math.pi) / 3.0) + (math.acos((-g / h)) / 3.0)))
function code(g, h) return Float64(2.0 * cos(Float64(Float64(Float64(2.0 * pi) / 3.0) + Float64(acos(Float64(Float64(-g) / h)) / 3.0)))) end
function tmp = code(g, h) tmp = 2.0 * cos((((2.0 * pi) / 3.0) + (acos((-g / h)) / 3.0))); end
code[g_, h_] := N[(2.0 * N[Cos[N[(N[(N[(2.0 * Pi), $MachinePrecision] / 3.0), $MachinePrecision] + N[(N[ArcCos[N[((-g) / h), $MachinePrecision]], $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \cos \left(\frac{2 \cdot \pi}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)
\end{array}
(FPCore (g h)
:precision binary64
(let* ((t_0 (acos (/ g (- 0.0 h)))))
(*
2.0
(-
(* (cos (* PI 0.6666666666666666)) (cos (/ t_0 3.0)))
(* (sin (* PI 0.6666666666666666)) (sin (pow (/ 3.0 t_0) -1.0)))))))
double code(double g, double h) {
double t_0 = acos((g / (0.0 - h)));
return 2.0 * ((cos((((double) M_PI) * 0.6666666666666666)) * cos((t_0 / 3.0))) - (sin((((double) M_PI) * 0.6666666666666666)) * sin(pow((3.0 / t_0), -1.0))));
}
public static double code(double g, double h) {
double t_0 = Math.acos((g / (0.0 - h)));
return 2.0 * ((Math.cos((Math.PI * 0.6666666666666666)) * Math.cos((t_0 / 3.0))) - (Math.sin((Math.PI * 0.6666666666666666)) * Math.sin(Math.pow((3.0 / t_0), -1.0))));
}
def code(g, h): t_0 = math.acos((g / (0.0 - h))) return 2.0 * ((math.cos((math.pi * 0.6666666666666666)) * math.cos((t_0 / 3.0))) - (math.sin((math.pi * 0.6666666666666666)) * math.sin(math.pow((3.0 / t_0), -1.0))))
function code(g, h) t_0 = acos(Float64(g / Float64(0.0 - h))) return Float64(2.0 * Float64(Float64(cos(Float64(pi * 0.6666666666666666)) * cos(Float64(t_0 / 3.0))) - Float64(sin(Float64(pi * 0.6666666666666666)) * sin((Float64(3.0 / t_0) ^ -1.0))))) end
function tmp = code(g, h) t_0 = acos((g / (0.0 - h))); tmp = 2.0 * ((cos((pi * 0.6666666666666666)) * cos((t_0 / 3.0))) - (sin((pi * 0.6666666666666666)) * sin(((3.0 / t_0) ^ -1.0)))); end
code[g_, h_] := Block[{t$95$0 = N[ArcCos[N[(g / N[(0.0 - h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(2.0 * N[(N[(N[Cos[N[(Pi * 0.6666666666666666), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(t$95$0 / 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(Pi * 0.6666666666666666), $MachinePrecision]], $MachinePrecision] * N[Sin[N[Power[N[(3.0 / t$95$0), $MachinePrecision], -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos^{-1} \left(\frac{g}{0 - h}\right)\\
2 \cdot \left(\cos \left(\pi \cdot 0.6666666666666666\right) \cdot \cos \left(\frac{t\_0}{3}\right) - \sin \left(\pi \cdot 0.6666666666666666\right) \cdot \sin \left({\left(\frac{3}{t\_0}\right)}^{-1}\right)\right)
\end{array}
\end{array}
Initial program 98.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
distribute-frac-negN/A
distribute-neg-frac2N/A
neg-mul-1N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f6498.5%
Simplified98.5%
cos-sumN/A
--lowering--.f64N/A
Applied egg-rr98.4%
clear-numN/A
inv-powN/A
pow-lowering-pow.f64N/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
--lowering--.f64N/A
/-lowering-/.f6499.9%
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (g h)
:precision binary64
(*
2.0
(cos
(fma
(cbrt (* PI (* PI PI)))
0.6666666666666666
(/ (acos (/ g (- 0.0 h))) 3.0)))))
double code(double g, double h) {
return 2.0 * cos(fma(cbrt((((double) M_PI) * (((double) M_PI) * ((double) M_PI)))), 0.6666666666666666, (acos((g / (0.0 - h))) / 3.0)));
}
function code(g, h) return Float64(2.0 * cos(fma(cbrt(Float64(pi * Float64(pi * pi))), 0.6666666666666666, Float64(acos(Float64(g / Float64(0.0 - h))) / 3.0)))) end
code[g_, h_] := N[(2.0 * N[Cos[N[(N[Power[N[(Pi * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * 0.6666666666666666 + N[(N[ArcCos[N[(g / N[(0.0 - h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \cos \left(\mathsf{fma}\left(\sqrt[3]{\pi \cdot \left(\pi \cdot \pi\right)}, 0.6666666666666666, \frac{\cos^{-1} \left(\frac{g}{0 - h}\right)}{3}\right)\right)
\end{array}
Initial program 98.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
distribute-frac-negN/A
distribute-neg-frac2N/A
neg-mul-1N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f6498.5%
Simplified98.5%
fma-defineN/A
fma-lowering-fma.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
neg-sub0N/A
metadata-evalN/A
--lowering--.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
frac-2negN/A
metadata-evalN/A
/-rgt-identityN/A
remove-double-neg98.5%
Applied egg-rr98.5%
add-cbrt-cubeN/A
pow3N/A
cbrt-lowering-cbrt.f64N/A
pow3N/A
associate-*l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
PI-lowering-PI.f6498.5%
Applied egg-rr98.5%
Final simplification98.5%
(FPCore (g h) :precision binary64 (* 2.0 (cos (fma PI 0.6666666666666666 (/ (acos (/ g (- 0.0 h))) 3.0)))))
double code(double g, double h) {
return 2.0 * cos(fma(((double) M_PI), 0.6666666666666666, (acos((g / (0.0 - h))) / 3.0)));
}
function code(g, h) return Float64(2.0 * cos(fma(pi, 0.6666666666666666, Float64(acos(Float64(g / Float64(0.0 - h))) / 3.0)))) end
code[g_, h_] := N[(2.0 * N[Cos[N[(Pi * 0.6666666666666666 + N[(N[ArcCos[N[(g / N[(0.0 - h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \cos \left(\mathsf{fma}\left(\pi, 0.6666666666666666, \frac{\cos^{-1} \left(\frac{g}{0 - h}\right)}{3}\right)\right)
\end{array}
Initial program 98.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
distribute-frac-negN/A
distribute-neg-frac2N/A
neg-mul-1N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f6498.5%
Simplified98.5%
fma-defineN/A
fma-lowering-fma.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
neg-sub0N/A
metadata-evalN/A
--lowering--.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
frac-2negN/A
metadata-evalN/A
/-rgt-identityN/A
remove-double-neg98.5%
Applied egg-rr98.5%
Final simplification98.5%
(FPCore (g h) :precision binary64 (* 2.0 (cos (+ (* PI 0.6666666666666666) (/ (acos (/ (/ g -1.0) h)) 3.0)))))
double code(double g, double h) {
return 2.0 * cos(((((double) M_PI) * 0.6666666666666666) + (acos(((g / -1.0) / h)) / 3.0)));
}
public static double code(double g, double h) {
return 2.0 * Math.cos(((Math.PI * 0.6666666666666666) + (Math.acos(((g / -1.0) / h)) / 3.0)));
}
def code(g, h): return 2.0 * math.cos(((math.pi * 0.6666666666666666) + (math.acos(((g / -1.0) / h)) / 3.0)))
function code(g, h) return Float64(2.0 * cos(Float64(Float64(pi * 0.6666666666666666) + Float64(acos(Float64(Float64(g / -1.0) / h)) / 3.0)))) end
function tmp = code(g, h) tmp = 2.0 * cos(((pi * 0.6666666666666666) + (acos(((g / -1.0) / h)) / 3.0))); end
code[g_, h_] := N[(2.0 * N[Cos[N[(N[(Pi * 0.6666666666666666), $MachinePrecision] + N[(N[ArcCos[N[(N[(g / -1.0), $MachinePrecision] / h), $MachinePrecision]], $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \cos \left(\pi \cdot 0.6666666666666666 + \frac{\cos^{-1} \left(\frac{\frac{g}{-1}}{h}\right)}{3}\right)
\end{array}
Initial program 98.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
distribute-frac-negN/A
distribute-neg-frac2N/A
neg-mul-1N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f6498.5%
Simplified98.5%
herbie shell --seed 2024155
(FPCore (g h)
:name "2-ancestry mixing, negative discriminant"
:precision binary64
(* 2.0 (cos (+ (/ (* 2.0 PI) 3.0) (/ (acos (/ (- g) h)) 3.0)))))