
(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 2 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-rr98.5%
clear-numN/A
inv-powN/A
pow-lowering-pow.f64N/A
/-lowering-/.f64N/A
acos-lowering-acos.f64N/A
--lowering--.f64N/A
/-lowering-/.f64100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (g h) :precision binary64 (* 2.0 (cos (+ (* (asin (/ g h)) 0.3333333333333333) (* PI 0.8333333333333334)))))
double code(double g, double h) {
return 2.0 * cos(((asin((g / h)) * 0.3333333333333333) + (((double) M_PI) * 0.8333333333333334)));
}
public static double code(double g, double h) {
return 2.0 * Math.cos(((Math.asin((g / h)) * 0.3333333333333333) + (Math.PI * 0.8333333333333334)));
}
def code(g, h): return 2.0 * math.cos(((math.asin((g / h)) * 0.3333333333333333) + (math.pi * 0.8333333333333334)))
function code(g, h) return Float64(2.0 * cos(Float64(Float64(asin(Float64(g / h)) * 0.3333333333333333) + Float64(pi * 0.8333333333333334)))) end
function tmp = code(g, h) tmp = 2.0 * cos(((asin((g / h)) * 0.3333333333333333) + (pi * 0.8333333333333334))); end
code[g_, h_] := N[(2.0 * N[Cos[N[(N[(N[ArcSin[N[(g / h), $MachinePrecision]], $MachinePrecision] * 0.3333333333333333), $MachinePrecision] + N[(Pi * 0.8333333333333334), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \cos \left(\sin^{-1} \left(\frac{g}{h}\right) \cdot 0.3333333333333333 + \pi \cdot 0.8333333333333334\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%
acos-asinN/A
div-subN/A
frac-subN/A
/-lowering-/.f64N/A
Applied egg-rr98.5%
Taylor expanded in g around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-commutativeN/A
cancel-sign-sub-invN/A
neg-mul-1N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
neg-mul-1N/A
Simplified98.5%
sub0-negN/A
distribute-frac-neg2N/A
asin-negN/A
frac-2negN/A
distribute-frac-neg2N/A
distribute-frac-negN/A
sub0-negN/A
asin-negN/A
neg-lowering-neg.f64N/A
asin-negN/A
sub0-negN/A
distribute-frac-negN/A
distribute-frac-neg2N/A
frac-2negN/A
asin-lowering-asin.f64N/A
/-lowering-/.f6498.5%
Applied egg-rr98.5%
*-commutativeN/A
Applied egg-rr98.5%
Final simplification98.5%
herbie shell --seed 2024150
(FPCore (g h)
:name "2-ancestry mixing, negative discriminant"
:precision binary64
(* 2.0 (cos (+ (/ (* 2.0 PI) 3.0) (/ (acos (/ (- g) h)) 3.0)))))