
(FPCore (x) :precision binary64 (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
double code(double x) {
return (((double) M_PI) / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
}
public static double code(double x) {
return (Math.PI / 2.0) - (2.0 * Math.asin(Math.sqrt(((1.0 - x) / 2.0))));
}
def code(x): return (math.pi / 2.0) - (2.0 * math.asin(math.sqrt(((1.0 - x) / 2.0))))
function code(x) return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(sqrt(Float64(Float64(1.0 - x) / 2.0))))) end
function tmp = code(x) tmp = (pi / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0)))); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 8 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
double code(double x) {
return (((double) M_PI) / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
}
public static double code(double x) {
return (Math.PI / 2.0) - (2.0 * Math.asin(Math.sqrt(((1.0 - x) / 2.0))));
}
def code(x): return (math.pi / 2.0) - (2.0 * math.asin(math.sqrt(((1.0 - x) / 2.0))))
function code(x) return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(sqrt(Float64(Float64(1.0 - x) / 2.0))))) end
function tmp = code(x) tmp = (pi / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0)))); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (/ (* PI PI) 4.0))
(t_1 (* PI (* PI (/ (* PI PI) 16.0))))
(t_2 (+ 0.5 (/ x -2.0)))
(t_3 (acos (sqrt t_2)))
(t_4 (+ PI (* -2.0 (acos (pow t_2 0.5)))))
(t_5 (* t_4 (+ t_4 (/ PI 2.0)))))
(/
(- (/ (* PI (* PI PI)) 8.0) (pow (- PI (* t_3 2.0)) 3.0))
(/
(+ (* t_0 t_1) (pow t_5 3.0))
(+ t_1 (* t_5 (- (* t_4 (+ (/ PI 2.0) (+ PI (* -2.0 t_3)))) t_0)))))))
double code(double x) {
double t_0 = (((double) M_PI) * ((double) M_PI)) / 4.0;
double t_1 = ((double) M_PI) * (((double) M_PI) * ((((double) M_PI) * ((double) M_PI)) / 16.0));
double t_2 = 0.5 + (x / -2.0);
double t_3 = acos(sqrt(t_2));
double t_4 = ((double) M_PI) + (-2.0 * acos(pow(t_2, 0.5)));
double t_5 = t_4 * (t_4 + (((double) M_PI) / 2.0));
return (((((double) M_PI) * (((double) M_PI) * ((double) M_PI))) / 8.0) - pow((((double) M_PI) - (t_3 * 2.0)), 3.0)) / (((t_0 * t_1) + pow(t_5, 3.0)) / (t_1 + (t_5 * ((t_4 * ((((double) M_PI) / 2.0) + (((double) M_PI) + (-2.0 * t_3)))) - t_0))));
}
public static double code(double x) {
double t_0 = (Math.PI * Math.PI) / 4.0;
double t_1 = Math.PI * (Math.PI * ((Math.PI * Math.PI) / 16.0));
double t_2 = 0.5 + (x / -2.0);
double t_3 = Math.acos(Math.sqrt(t_2));
double t_4 = Math.PI + (-2.0 * Math.acos(Math.pow(t_2, 0.5)));
double t_5 = t_4 * (t_4 + (Math.PI / 2.0));
return (((Math.PI * (Math.PI * Math.PI)) / 8.0) - Math.pow((Math.PI - (t_3 * 2.0)), 3.0)) / (((t_0 * t_1) + Math.pow(t_5, 3.0)) / (t_1 + (t_5 * ((t_4 * ((Math.PI / 2.0) + (Math.PI + (-2.0 * t_3)))) - t_0))));
}
def code(x): t_0 = (math.pi * math.pi) / 4.0 t_1 = math.pi * (math.pi * ((math.pi * math.pi) / 16.0)) t_2 = 0.5 + (x / -2.0) t_3 = math.acos(math.sqrt(t_2)) t_4 = math.pi + (-2.0 * math.acos(math.pow(t_2, 0.5))) t_5 = t_4 * (t_4 + (math.pi / 2.0)) return (((math.pi * (math.pi * math.pi)) / 8.0) - math.pow((math.pi - (t_3 * 2.0)), 3.0)) / (((t_0 * t_1) + math.pow(t_5, 3.0)) / (t_1 + (t_5 * ((t_4 * ((math.pi / 2.0) + (math.pi + (-2.0 * t_3)))) - t_0))))
function code(x) t_0 = Float64(Float64(pi * pi) / 4.0) t_1 = Float64(pi * Float64(pi * Float64(Float64(pi * pi) / 16.0))) t_2 = Float64(0.5 + Float64(x / -2.0)) t_3 = acos(sqrt(t_2)) t_4 = Float64(pi + Float64(-2.0 * acos((t_2 ^ 0.5)))) t_5 = Float64(t_4 * Float64(t_4 + Float64(pi / 2.0))) return Float64(Float64(Float64(Float64(pi * Float64(pi * pi)) / 8.0) - (Float64(pi - Float64(t_3 * 2.0)) ^ 3.0)) / Float64(Float64(Float64(t_0 * t_1) + (t_5 ^ 3.0)) / Float64(t_1 + Float64(t_5 * Float64(Float64(t_4 * Float64(Float64(pi / 2.0) + Float64(pi + Float64(-2.0 * t_3)))) - t_0))))) end
function tmp = code(x) t_0 = (pi * pi) / 4.0; t_1 = pi * (pi * ((pi * pi) / 16.0)); t_2 = 0.5 + (x / -2.0); t_3 = acos(sqrt(t_2)); t_4 = pi + (-2.0 * acos((t_2 ^ 0.5))); t_5 = t_4 * (t_4 + (pi / 2.0)); tmp = (((pi * (pi * pi)) / 8.0) - ((pi - (t_3 * 2.0)) ^ 3.0)) / (((t_0 * t_1) + (t_5 ^ 3.0)) / (t_1 + (t_5 * ((t_4 * ((pi / 2.0) + (pi + (-2.0 * t_3)))) - t_0)))); end
code[x_] := Block[{t$95$0 = N[(N[(Pi * Pi), $MachinePrecision] / 4.0), $MachinePrecision]}, Block[{t$95$1 = N[(Pi * N[(Pi * N[(N[(Pi * Pi), $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + N[(x / -2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[ArcCos[N[Sqrt[t$95$2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(Pi + N[(-2.0 * N[ArcCos[N[Power[t$95$2, 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 * N[(t$95$4 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(Pi * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision] / 8.0), $MachinePrecision] - N[Power[N[(Pi - N[(t$95$3 * 2.0), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(t$95$0 * t$95$1), $MachinePrecision] + N[Power[t$95$5, 3.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$1 + N[(t$95$5 * N[(N[(t$95$4 * N[(N[(Pi / 2.0), $MachinePrecision] + N[(Pi + N[(-2.0 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi \cdot \pi}{4}\\
t_1 := \pi \cdot \left(\pi \cdot \frac{\pi \cdot \pi}{16}\right)\\
t_2 := 0.5 + \frac{x}{-2}\\
t_3 := \cos^{-1} \left(\sqrt{t\_2}\right)\\
t_4 := \pi + -2 \cdot \cos^{-1} \left({t\_2}^{0.5}\right)\\
t_5 := t\_4 \cdot \left(t\_4 + \frac{\pi}{2}\right)\\
\frac{\frac{\pi \cdot \left(\pi \cdot \pi\right)}{8} - {\left(\pi - t\_3 \cdot 2\right)}^{3}}{\frac{t\_0 \cdot t\_1 + {t\_5}^{3}}{t\_1 + t\_5 \cdot \left(t\_4 \cdot \left(\frac{\pi}{2} + \left(\pi + -2 \cdot t\_3\right)\right) - t\_0\right)}}
\end{array}
\end{array}
Initial program 6.8%
asin-acosN/A
sub-negN/A
distribute-rgt-inN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
Applied egg-rr8.3%
Applied egg-rr8.3%
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f648.3%
Applied egg-rr8.3%
Final simplification8.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* -2.0 (acos (sqrt (+ 0.5 (* x -0.5)))))))
(/
(-
(/ (* PI (* PI PI)) 8.0)
(pow (- PI (* (acos (sqrt (+ 0.5 (/ x -2.0)))) 2.0)) 3.0))
(+ (* PI (* PI 0.25)) (* (+ PI t_0) (+ t_0 (* PI 1.5)))))))
double code(double x) {
double t_0 = -2.0 * acos(sqrt((0.5 + (x * -0.5))));
return (((((double) M_PI) * (((double) M_PI) * ((double) M_PI))) / 8.0) - pow((((double) M_PI) - (acos(sqrt((0.5 + (x / -2.0)))) * 2.0)), 3.0)) / ((((double) M_PI) * (((double) M_PI) * 0.25)) + ((((double) M_PI) + t_0) * (t_0 + (((double) M_PI) * 1.5))));
}
public static double code(double x) {
double t_0 = -2.0 * Math.acos(Math.sqrt((0.5 + (x * -0.5))));
return (((Math.PI * (Math.PI * Math.PI)) / 8.0) - Math.pow((Math.PI - (Math.acos(Math.sqrt((0.5 + (x / -2.0)))) * 2.0)), 3.0)) / ((Math.PI * (Math.PI * 0.25)) + ((Math.PI + t_0) * (t_0 + (Math.PI * 1.5))));
}
def code(x): t_0 = -2.0 * math.acos(math.sqrt((0.5 + (x * -0.5)))) return (((math.pi * (math.pi * math.pi)) / 8.0) - math.pow((math.pi - (math.acos(math.sqrt((0.5 + (x / -2.0)))) * 2.0)), 3.0)) / ((math.pi * (math.pi * 0.25)) + ((math.pi + t_0) * (t_0 + (math.pi * 1.5))))
function code(x) t_0 = Float64(-2.0 * acos(sqrt(Float64(0.5 + Float64(x * -0.5))))) return Float64(Float64(Float64(Float64(pi * Float64(pi * pi)) / 8.0) - (Float64(pi - Float64(acos(sqrt(Float64(0.5 + Float64(x / -2.0)))) * 2.0)) ^ 3.0)) / Float64(Float64(pi * Float64(pi * 0.25)) + Float64(Float64(pi + t_0) * Float64(t_0 + Float64(pi * 1.5))))) end
function tmp = code(x) t_0 = -2.0 * acos(sqrt((0.5 + (x * -0.5)))); tmp = (((pi * (pi * pi)) / 8.0) - ((pi - (acos(sqrt((0.5 + (x / -2.0)))) * 2.0)) ^ 3.0)) / ((pi * (pi * 0.25)) + ((pi + t_0) * (t_0 + (pi * 1.5)))); end
code[x_] := Block[{t$95$0 = N[(-2.0 * N[ArcCos[N[Sqrt[N[(0.5 + N[(x * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(Pi * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision] / 8.0), $MachinePrecision] - N[Power[N[(Pi - N[(N[ArcCos[N[Sqrt[N[(0.5 + N[(x / -2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(N[(Pi * N[(Pi * 0.25), $MachinePrecision]), $MachinePrecision] + N[(N[(Pi + t$95$0), $MachinePrecision] * N[(t$95$0 + N[(Pi * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -2 \cdot \cos^{-1} \left(\sqrt{0.5 + x \cdot -0.5}\right)\\
\frac{\frac{\pi \cdot \left(\pi \cdot \pi\right)}{8} - {\left(\pi - \cos^{-1} \left(\sqrt{0.5 + \frac{x}{-2}}\right) \cdot 2\right)}^{3}}{\pi \cdot \left(\pi \cdot 0.25\right) + \left(\pi + t\_0\right) \cdot \left(t\_0 + \pi \cdot 1.5\right)}
\end{array}
\end{array}
Initial program 6.8%
asin-acosN/A
sub-negN/A
distribute-rgt-inN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
Applied egg-rr8.3%
Taylor expanded in x around 0
metadata-evalN/A
cancel-sign-sub-invN/A
metadata-evalN/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
Simplified8.3%
Final simplification8.3%
(FPCore (x) :precision binary64 (let* ((t_0 (- (/ PI 2.0) PI)) (t_1 (acos (sqrt (+ 0.5 (/ x -2.0)))))) (/ (- (* t_0 t_0) (pow (* t_1 (- 0.0 2.0)) 2.0)) (- t_0 (* t_1 2.0)))))
double code(double x) {
double t_0 = (((double) M_PI) / 2.0) - ((double) M_PI);
double t_1 = acos(sqrt((0.5 + (x / -2.0))));
return ((t_0 * t_0) - pow((t_1 * (0.0 - 2.0)), 2.0)) / (t_0 - (t_1 * 2.0));
}
public static double code(double x) {
double t_0 = (Math.PI / 2.0) - Math.PI;
double t_1 = Math.acos(Math.sqrt((0.5 + (x / -2.0))));
return ((t_0 * t_0) - Math.pow((t_1 * (0.0 - 2.0)), 2.0)) / (t_0 - (t_1 * 2.0));
}
def code(x): t_0 = (math.pi / 2.0) - math.pi t_1 = math.acos(math.sqrt((0.5 + (x / -2.0)))) return ((t_0 * t_0) - math.pow((t_1 * (0.0 - 2.0)), 2.0)) / (t_0 - (t_1 * 2.0))
function code(x) t_0 = Float64(Float64(pi / 2.0) - pi) t_1 = acos(sqrt(Float64(0.5 + Float64(x / -2.0)))) return Float64(Float64(Float64(t_0 * t_0) - (Float64(t_1 * Float64(0.0 - 2.0)) ^ 2.0)) / Float64(t_0 - Float64(t_1 * 2.0))) end
function tmp = code(x) t_0 = (pi / 2.0) - pi; t_1 = acos(sqrt((0.5 + (x / -2.0)))); tmp = ((t_0 * t_0) - ((t_1 * (0.0 - 2.0)) ^ 2.0)) / (t_0 - (t_1 * 2.0)); end
code[x_] := Block[{t$95$0 = N[(N[(Pi / 2.0), $MachinePrecision] - Pi), $MachinePrecision]}, Block[{t$95$1 = N[ArcCos[N[Sqrt[N[(0.5 + N[(x / -2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[Power[N[(t$95$1 * N[(0.0 - 2.0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(t$95$1 * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{2} - \pi\\
t_1 := \cos^{-1} \left(\sqrt{0.5 + \frac{x}{-2}}\right)\\
\frac{t\_0 \cdot t\_0 - {\left(t\_1 \cdot \left(0 - 2\right)\right)}^{2}}{t\_0 - t\_1 \cdot 2}
\end{array}
\end{array}
Initial program 6.8%
asin-acosN/A
sub-negN/A
distribute-rgt-inN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
associate--r+N/A
flip--N/A
/-lowering-/.f64N/A
Applied egg-rr8.2%
Final simplification8.2%
(FPCore (x) :precision binary64 (let* ((t_0 (- PI (* (acos (sqrt (+ 0.5 (/ x -2.0)))) 2.0)))) (/ (- (* PI (/ PI 4.0)) (pow t_0 2.0)) (+ t_0 (/ PI 2.0)))))
double code(double x) {
double t_0 = ((double) M_PI) - (acos(sqrt((0.5 + (x / -2.0)))) * 2.0);
return ((((double) M_PI) * (((double) M_PI) / 4.0)) - pow(t_0, 2.0)) / (t_0 + (((double) M_PI) / 2.0));
}
public static double code(double x) {
double t_0 = Math.PI - (Math.acos(Math.sqrt((0.5 + (x / -2.0)))) * 2.0);
return ((Math.PI * (Math.PI / 4.0)) - Math.pow(t_0, 2.0)) / (t_0 + (Math.PI / 2.0));
}
def code(x): t_0 = math.pi - (math.acos(math.sqrt((0.5 + (x / -2.0)))) * 2.0) return ((math.pi * (math.pi / 4.0)) - math.pow(t_0, 2.0)) / (t_0 + (math.pi / 2.0))
function code(x) t_0 = Float64(pi - Float64(acos(sqrt(Float64(0.5 + Float64(x / -2.0)))) * 2.0)) return Float64(Float64(Float64(pi * Float64(pi / 4.0)) - (t_0 ^ 2.0)) / Float64(t_0 + Float64(pi / 2.0))) end
function tmp = code(x) t_0 = pi - (acos(sqrt((0.5 + (x / -2.0)))) * 2.0); tmp = ((pi * (pi / 4.0)) - (t_0 ^ 2.0)) / (t_0 + (pi / 2.0)); end
code[x_] := Block[{t$95$0 = N[(Pi - N[(N[ArcCos[N[Sqrt[N[(0.5 + N[(x / -2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(Pi * N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision] - N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi - \cos^{-1} \left(\sqrt{0.5 + \frac{x}{-2}}\right) \cdot 2\\
\frac{\pi \cdot \frac{\pi}{4} - {t\_0}^{2}}{t\_0 + \frac{\pi}{2}}
\end{array}
\end{array}
Initial program 6.8%
asin-acosN/A
sub-negN/A
distribute-rgt-inN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
flip--N/A
/-lowering-/.f64N/A
Applied egg-rr8.2%
Final simplification8.2%
(FPCore (x) :precision binary64 (+ (/ PI 2.0) (- (* (acos (sqrt (+ 0.5 (/ x -2.0)))) 2.0) PI)))
double code(double x) {
return (((double) M_PI) / 2.0) + ((acos(sqrt((0.5 + (x / -2.0)))) * 2.0) - ((double) M_PI));
}
public static double code(double x) {
return (Math.PI / 2.0) + ((Math.acos(Math.sqrt((0.5 + (x / -2.0)))) * 2.0) - Math.PI);
}
def code(x): return (math.pi / 2.0) + ((math.acos(math.sqrt((0.5 + (x / -2.0)))) * 2.0) - math.pi)
function code(x) return Float64(Float64(pi / 2.0) + Float64(Float64(acos(sqrt(Float64(0.5 + Float64(x / -2.0)))) * 2.0) - pi)) end
function tmp = code(x) tmp = (pi / 2.0) + ((acos(sqrt((0.5 + (x / -2.0)))) * 2.0) - pi); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] + N[(N[(N[ArcCos[N[Sqrt[N[(0.5 + N[(x / -2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] - Pi), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} + \left(\cos^{-1} \left(\sqrt{0.5 + \frac{x}{-2}}\right) \cdot 2 - \pi\right)
\end{array}
Initial program 6.8%
asin-acosN/A
sub-negN/A
distribute-rgt-inN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
--lowering--.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-un-lft-identityN/A
fma-defineN/A
sub0-negN/A
distribute-lft-neg-outN/A
fmm-undefN/A
*-un-lft-identityN/A
--lowering--.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
Final simplification8.2%
(FPCore (x) :precision binary64 (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
double code(double x) {
return (((double) M_PI) / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
}
public static double code(double x) {
return (Math.PI / 2.0) - (2.0 * Math.asin(Math.sqrt(((1.0 - x) / 2.0))));
}
def code(x): return (math.pi / 2.0) - (2.0 * math.asin(math.sqrt(((1.0 - x) / 2.0))))
function code(x) return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(sqrt(Float64(Float64(1.0 - x) / 2.0))))) end
function tmp = code(x) tmp = (pi / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0)))); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}
Initial program 6.8%
(FPCore (x) :precision binary64 (+ (/ PI 2.0) (- (* 2.0 (acos (sqrt 0.5))) PI)))
double code(double x) {
return (((double) M_PI) / 2.0) + ((2.0 * acos(sqrt(0.5))) - ((double) M_PI));
}
public static double code(double x) {
return (Math.PI / 2.0) + ((2.0 * Math.acos(Math.sqrt(0.5))) - Math.PI);
}
def code(x): return (math.pi / 2.0) + ((2.0 * math.acos(math.sqrt(0.5))) - math.pi)
function code(x) return Float64(Float64(pi / 2.0) + Float64(Float64(2.0 * acos(sqrt(0.5))) - pi)) end
function tmp = code(x) tmp = (pi / 2.0) + ((2.0 * acos(sqrt(0.5))) - pi); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] + N[(N[(2.0 * N[ArcCos[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - Pi), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} + \left(2 \cdot \cos^{-1} \left(\sqrt{0.5}\right) - \pi\right)
\end{array}
Initial program 6.8%
asin-acosN/A
sub-negN/A
distribute-rgt-inN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
Applied egg-rr8.2%
Taylor expanded in x around 0
sqrt-lowering-sqrt.f645.4%
Simplified5.4%
--lowering--.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-un-lft-identityN/A
fma-defineN/A
sub0-negN/A
distribute-lft-neg-outN/A
fmm-undefN/A
*-un-lft-identityN/A
--lowering--.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
acos-lowering-acos.f64N/A
sqrt-lowering-sqrt.f645.4%
Applied egg-rr5.4%
Final simplification5.4%
(FPCore (x) :precision binary64 (- (/ PI 2.0) (* 2.0 (asin (sqrt 0.5)))))
double code(double x) {
return (((double) M_PI) / 2.0) - (2.0 * asin(sqrt(0.5)));
}
public static double code(double x) {
return (Math.PI / 2.0) - (2.0 * Math.asin(Math.sqrt(0.5)));
}
def code(x): return (math.pi / 2.0) - (2.0 * math.asin(math.sqrt(0.5)))
function code(x) return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(sqrt(0.5)))) end
function tmp = code(x) tmp = (pi / 2.0) - (2.0 * asin(sqrt(0.5))); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)
\end{array}
Initial program 6.8%
Taylor expanded in x around 0
sqrt-lowering-sqrt.f644.2%
Simplified4.2%
(FPCore (x) :precision binary64 (asin x))
double code(double x) {
return asin(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = asin(x)
end function
public static double code(double x) {
return Math.asin(x);
}
def code(x): return math.asin(x)
function code(x) return asin(x) end
function tmp = code(x) tmp = asin(x); end
code[x_] := N[ArcSin[x], $MachinePrecision]
\begin{array}{l}
\\
\sin^{-1} x
\end{array}
herbie shell --seed 2024161
(FPCore (x)
:name "Ian Simplification"
:precision binary64
:alt
(! :herbie-platform default (asin x))
(- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))