
(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}
Herbie found 9 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 (asin (sqrt (/ (- 1.0 x) 2.0))))
(t_1 (* t_0 2.0))
(t_2 (* t_0 t_0))
(t_3 (* t_2 4.0))
(t_4 (* PI (/ PI 4.0))))
(/
(-
(* (/ PI 2.0) (/ PI 2.0))
(* (* (asin (/ (sqrt (- 1.0 x)) (sqrt 2.0))) 2.0) t_1))
(/ (/ (- (* t_3 t_3) (* t_4 t_4)) (fma t_2 4.0 t_4)) (- t_1 (/ PI 2.0))))))
double code(double x) {
double t_0 = asin(sqrt(((1.0 - x) / 2.0)));
double t_1 = t_0 * 2.0;
double t_2 = t_0 * t_0;
double t_3 = t_2 * 4.0;
double t_4 = ((double) M_PI) * (((double) M_PI) / 4.0);
return (((((double) M_PI) / 2.0) * (((double) M_PI) / 2.0)) - ((asin((sqrt((1.0 - x)) / sqrt(2.0))) * 2.0) * t_1)) / ((((t_3 * t_3) - (t_4 * t_4)) / fma(t_2, 4.0, t_4)) / (t_1 - (((double) M_PI) / 2.0)));
}
function code(x) t_0 = asin(sqrt(Float64(Float64(1.0 - x) / 2.0))) t_1 = Float64(t_0 * 2.0) t_2 = Float64(t_0 * t_0) t_3 = Float64(t_2 * 4.0) t_4 = Float64(pi * Float64(pi / 4.0)) return Float64(Float64(Float64(Float64(pi / 2.0) * Float64(pi / 2.0)) - Float64(Float64(asin(Float64(sqrt(Float64(1.0 - x)) / sqrt(2.0))) * 2.0) * t_1)) / Float64(Float64(Float64(Float64(t_3 * t_3) - Float64(t_4 * t_4)) / fma(t_2, 4.0, t_4)) / Float64(t_1 - Float64(pi / 2.0)))) end
code[x_] := Block[{t$95$0 = N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * 4.0), $MachinePrecision]}, Block[{t$95$4 = N[(Pi * N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[ArcSin[N[(N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(t$95$3 * t$95$3), $MachinePrecision] - N[(t$95$4 * t$95$4), $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * 4.0 + t$95$4), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 - N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\\
t_1 := t\_0 \cdot 2\\
t_2 := t\_0 \cdot t\_0\\
t_3 := t\_2 \cdot 4\\
t_4 := \pi \cdot \frac{\pi}{4}\\
\frac{\frac{\pi}{2} \cdot \frac{\pi}{2} - \left(\sin^{-1} \left(\frac{\sqrt{1 - x}}{\sqrt{2}}\right) \cdot 2\right) \cdot t\_1}{\frac{\frac{t\_3 \cdot t\_3 - t\_4 \cdot t\_4}{\mathsf{fma}\left(t\_2, 4, t\_4\right)}}{t\_1 - \frac{\pi}{2}}}
\end{array}
\end{array}
Initial program 6.8%
lift--.f64N/A
lift-*.f64N/A
lift-asin.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
flip--N/A
lower-/.f64N/A
Applied rewrites6.8%
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqrt-divN/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
lift-/.f648.3
Applied rewrites8.3%
lift-+.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
Applied rewrites8.3%
Applied rewrites8.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (asin (sqrt (/ (- 1.0 x) 2.0)))))
(/
(fma
0.25
(* PI PI)
(*
-4.0
(*
(asin (* (/ 1.0 (sqrt 2.0)) (sqrt (- 1.0 x))))
(asin (sqrt (* 0.5 (- 1.0 x)))))))
(/ (- (* (* t_0 t_0) 4.0) (* PI (/ PI 4.0))) (- (* t_0 2.0) (/ PI 2.0))))))
double code(double x) {
double t_0 = asin(sqrt(((1.0 - x) / 2.0)));
return fma(0.25, (((double) M_PI) * ((double) M_PI)), (-4.0 * (asin(((1.0 / sqrt(2.0)) * sqrt((1.0 - x)))) * asin(sqrt((0.5 * (1.0 - x))))))) / ((((t_0 * t_0) * 4.0) - (((double) M_PI) * (((double) M_PI) / 4.0))) / ((t_0 * 2.0) - (((double) M_PI) / 2.0)));
}
function code(x) t_0 = asin(sqrt(Float64(Float64(1.0 - x) / 2.0))) return Float64(fma(0.25, Float64(pi * pi), Float64(-4.0 * Float64(asin(Float64(Float64(1.0 / sqrt(2.0)) * sqrt(Float64(1.0 - x)))) * asin(sqrt(Float64(0.5 * Float64(1.0 - x))))))) / Float64(Float64(Float64(Float64(t_0 * t_0) * 4.0) - Float64(pi * Float64(pi / 4.0))) / Float64(Float64(t_0 * 2.0) - Float64(pi / 2.0)))) end
code[x_] := Block[{t$95$0 = N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(N[(0.25 * N[(Pi * Pi), $MachinePrecision] + N[(-4.0 * N[(N[ArcSin[N[(N[(1.0 / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[ArcSin[N[Sqrt[N[(0.5 * N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * 4.0), $MachinePrecision] - N[(Pi * N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$0 * 2.0), $MachinePrecision] - N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\\
\frac{\mathsf{fma}\left(0.25, \pi \cdot \pi, -4 \cdot \left(\sin^{-1} \left(\frac{1}{\sqrt{2}} \cdot \sqrt{1 - x}\right) \cdot \sin^{-1} \left(\sqrt{0.5 \cdot \left(1 - x\right)}\right)\right)\right)}{\frac{\left(t\_0 \cdot t\_0\right) \cdot 4 - \pi \cdot \frac{\pi}{4}}{t\_0 \cdot 2 - \frac{\pi}{2}}}
\end{array}
\end{array}
Initial program 6.8%
lift--.f64N/A
lift-*.f64N/A
lift-asin.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
flip--N/A
lower-/.f64N/A
Applied rewrites6.8%
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqrt-divN/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
lift-/.f648.3
Applied rewrites8.3%
lift-+.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
Applied rewrites8.3%
Taylor expanded in x around 0
frac-timesN/A
metadata-evalN/A
associate-*r/N/A
fp-cancel-sub-sign-invN/A
Applied rewrites8.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (asin (sqrt (* 0.5 (- 1.0 x))))))
(*
(fma
0.25
(* PI PI)
(* -4.0 (* (asin (* (/ 1.0 (sqrt 2.0)) (sqrt (- 1.0 x)))) t_0)))
(/ (fma t_0 2.0 (* -0.5 PI)) (fma (* t_0 t_0) 4.0 (* -0.25 (* PI PI)))))))
double code(double x) {
double t_0 = asin(sqrt((0.5 * (1.0 - x))));
return fma(0.25, (((double) M_PI) * ((double) M_PI)), (-4.0 * (asin(((1.0 / sqrt(2.0)) * sqrt((1.0 - x)))) * t_0))) * (fma(t_0, 2.0, (-0.5 * ((double) M_PI))) / fma((t_0 * t_0), 4.0, (-0.25 * (((double) M_PI) * ((double) M_PI)))));
}
function code(x) t_0 = asin(sqrt(Float64(0.5 * Float64(1.0 - x)))) return Float64(fma(0.25, Float64(pi * pi), Float64(-4.0 * Float64(asin(Float64(Float64(1.0 / sqrt(2.0)) * sqrt(Float64(1.0 - x)))) * t_0))) * Float64(fma(t_0, 2.0, Float64(-0.5 * pi)) / fma(Float64(t_0 * t_0), 4.0, Float64(-0.25 * Float64(pi * pi))))) end
code[x_] := Block[{t$95$0 = N[ArcSin[N[Sqrt[N[(0.5 * N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(N[(0.25 * N[(Pi * Pi), $MachinePrecision] + N[(-4.0 * N[(N[ArcSin[N[(N[(1.0 / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$0 * 2.0 + N[(-0.5 * Pi), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$0 * t$95$0), $MachinePrecision] * 4.0 + N[(-0.25 * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin^{-1} \left(\sqrt{0.5 \cdot \left(1 - x\right)}\right)\\
\mathsf{fma}\left(0.25, \pi \cdot \pi, -4 \cdot \left(\sin^{-1} \left(\frac{1}{\sqrt{2}} \cdot \sqrt{1 - x}\right) \cdot t\_0\right)\right) \cdot \frac{\mathsf{fma}\left(t\_0, 2, -0.5 \cdot \pi\right)}{\mathsf{fma}\left(t\_0 \cdot t\_0, 4, -0.25 \cdot \left(\pi \cdot \pi\right)\right)}
\end{array}
\end{array}
Initial program 6.8%
lift--.f64N/A
lift-*.f64N/A
lift-asin.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
flip--N/A
lower-/.f64N/A
Applied rewrites6.8%
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqrt-divN/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
lift-/.f648.3
Applied rewrites8.3%
lift-+.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
Applied rewrites8.3%
Taylor expanded in x around 0
Applied rewrites8.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (asin (sqrt (* 0.5 (- 1.0 x))))))
(/
(fma
0.25
(* PI PI)
(* -4.0 (* (asin (* (/ 1.0 (sqrt 2.0)) (sqrt (- 1.0 x)))) t_0)))
(fma t_0 2.0 (* 0.5 PI)))))
double code(double x) {
double t_0 = asin(sqrt((0.5 * (1.0 - x))));
return fma(0.25, (((double) M_PI) * ((double) M_PI)), (-4.0 * (asin(((1.0 / sqrt(2.0)) * sqrt((1.0 - x)))) * t_0))) / fma(t_0, 2.0, (0.5 * ((double) M_PI)));
}
function code(x) t_0 = asin(sqrt(Float64(0.5 * Float64(1.0 - x)))) return Float64(fma(0.25, Float64(pi * pi), Float64(-4.0 * Float64(asin(Float64(Float64(1.0 / sqrt(2.0)) * sqrt(Float64(1.0 - x)))) * t_0))) / fma(t_0, 2.0, Float64(0.5 * pi))) end
code[x_] := Block[{t$95$0 = N[ArcSin[N[Sqrt[N[(0.5 * N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(N[(0.25 * N[(Pi * Pi), $MachinePrecision] + N[(-4.0 * N[(N[ArcSin[N[(N[(1.0 / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * 2.0 + N[(0.5 * Pi), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin^{-1} \left(\sqrt{0.5 \cdot \left(1 - x\right)}\right)\\
\frac{\mathsf{fma}\left(0.25, \pi \cdot \pi, -4 \cdot \left(\sin^{-1} \left(\frac{1}{\sqrt{2}} \cdot \sqrt{1 - x}\right) \cdot t\_0\right)\right)}{\mathsf{fma}\left(t\_0, 2, 0.5 \cdot \pi\right)}
\end{array}
\end{array}
Initial program 6.8%
lift--.f64N/A
lift-*.f64N/A
lift-asin.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
flip--N/A
lower-/.f64N/A
Applied rewrites6.8%
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqrt-divN/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
lift-/.f648.3
Applied rewrites8.3%
Taylor expanded in x around 0
Applied rewrites8.3%
(FPCore (x) :precision binary64 (fma PI 0.5 (* -2.0 (- (* PI 0.5) (acos (sqrt (* 0.5 (- 1.0 x))))))))
double code(double x) {
return fma(((double) M_PI), 0.5, (-2.0 * ((((double) M_PI) * 0.5) - acos(sqrt((0.5 * (1.0 - x)))))));
}
function code(x) return fma(pi, 0.5, Float64(-2.0 * Float64(Float64(pi * 0.5) - acos(sqrt(Float64(0.5 * Float64(1.0 - x))))))) end
code[x_] := N[(Pi * 0.5 + N[(-2.0 * N[(N[(Pi * 0.5), $MachinePrecision] - N[ArcCos[N[Sqrt[N[(0.5 * N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(\pi \cdot 0.5 - \cos^{-1} \left(\sqrt{0.5 \cdot \left(1 - x\right)}\right)\right)\right)
\end{array}
Initial program 6.8%
lift-asin.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
asin-acosN/A
lift-/.f64N/A
lift-PI.f64N/A
lower--.f64N/A
lower-acos.f64N/A
lift-/.f64N/A
lift--.f64N/A
lift-sqrt.f648.3
Applied rewrites8.3%
Taylor expanded in x around 0
lift-/.f64N/A
lift-PI.f64N/A
asin-acos-revN/A
sqrt-divN/A
fp-cancel-sub-sign-invN/A
sqrt-divN/A
fp-cancel-sub-sign-invN/A
lift-PI.f64N/A
lift-/.f64N/A
Applied rewrites8.3%
(FPCore (x) :precision binary64 (- (/ PI 2.0) (* 2.0 (asin (/ (sqrt (- 1.0 x)) (sqrt 2.0))))))
double code(double x) {
return (((double) M_PI) / 2.0) - (2.0 * asin((sqrt((1.0 - x)) / sqrt(2.0))));
}
public static double code(double x) {
return (Math.PI / 2.0) - (2.0 * Math.asin((Math.sqrt((1.0 - x)) / Math.sqrt(2.0))));
}
def code(x): return (math.pi / 2.0) - (2.0 * math.asin((math.sqrt((1.0 - x)) / math.sqrt(2.0))))
function code(x) return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(Float64(sqrt(Float64(1.0 - x)) / sqrt(2.0))))) end
function tmp = code(x) tmp = (pi / 2.0) - (2.0 * asin((sqrt((1.0 - x)) / sqrt(2.0)))); end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[(N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\frac{\sqrt{1 - x}}{\sqrt{2}}\right)
\end{array}
Initial program 6.8%
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lift--.f64N/A
lower-sqrt.f646.7
Applied rewrites6.7%
(FPCore (x) :precision binary64 (fma 0.5 PI (* -2.0 (asin (sqrt (fma -0.5 x 0.5))))))
double code(double x) {
return fma(0.5, ((double) M_PI), (-2.0 * asin(sqrt(fma(-0.5, x, 0.5)))));
}
function code(x) return fma(0.5, pi, Float64(-2.0 * asin(sqrt(fma(-0.5, x, 0.5))))) end
code[x_] := N[(0.5 * Pi + N[(-2.0 * N[ArcSin[N[Sqrt[N[(-0.5 * x + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(0.5, \pi, -2 \cdot \sin^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\right)
\end{array}
Initial program 6.8%
Taylor expanded in x around 0
fp-cancel-sub-sign-invN/A
lower-fma.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-asin.f64N/A
sqrt-unprodN/A
lower-sqrt.f64N/A
lower-*.f64N/A
lift--.f646.8
Applied rewrites6.8%
Taylor expanded in x around 0
+-commutativeN/A
lower-fma.f646.8
Applied rewrites6.8%
(FPCore (x) :precision binary64 (if (<= x -5e-310) (fma 0.5 PI (* -2.0 (asin (sqrt 0.5)))) (- (/ PI 2.0) (* 2.0 (asin (/ 1.0 (sqrt 2.0)))))))
double code(double x) {
double tmp;
if (x <= -5e-310) {
tmp = fma(0.5, ((double) M_PI), (-2.0 * asin(sqrt(0.5))));
} else {
tmp = (((double) M_PI) / 2.0) - (2.0 * asin((1.0 / sqrt(2.0))));
}
return tmp;
}
function code(x) tmp = 0.0 if (x <= -5e-310) tmp = fma(0.5, pi, Float64(-2.0 * asin(sqrt(0.5)))); else tmp = Float64(Float64(pi / 2.0) - Float64(2.0 * asin(Float64(1.0 / sqrt(2.0))))); end return tmp end
code[x_] := If[LessEqual[x, -5e-310], N[(0.5 * Pi + N[(-2.0 * N[ArcSin[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[(1.0 / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\mathsf{fma}\left(0.5, \pi, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\frac{1}{\sqrt{2}}\right)\\
\end{array}
\end{array}
if x < -4.999999999999985e-310Initial program 8.3%
Taylor expanded in x around 0
fp-cancel-sub-sign-invN/A
lower-fma.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-asin.f64N/A
sqrt-unprodN/A
lower-sqrt.f64N/A
lower-*.f64N/A
lift--.f648.3
Applied rewrites8.3%
Taylor expanded in x around 0
Applied rewrites5.9%
if -4.999999999999985e-310 < x Initial program 5.3%
lift-sqrt.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lift--.f64N/A
lower-sqrt.f648.2
Applied rewrites8.2%
Taylor expanded in x around 0
Applied rewrites5.8%
(FPCore (x) :precision binary64 (fma 0.5 PI (* -2.0 (asin (sqrt 0.5)))))
double code(double x) {
return fma(0.5, ((double) M_PI), (-2.0 * asin(sqrt(0.5))));
}
function code(x) return fma(0.5, pi, Float64(-2.0 * asin(sqrt(0.5)))) end
code[x_] := N[(0.5 * Pi + N[(-2.0 * N[ArcSin[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(0.5, \pi, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)
\end{array}
Initial program 6.8%
Taylor expanded in x around 0
fp-cancel-sub-sign-invN/A
lower-fma.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-asin.f64N/A
sqrt-unprodN/A
lower-sqrt.f64N/A
lower-*.f64N/A
lift--.f646.8
Applied rewrites6.8%
Taylor expanded in x around 0
Applied rewrites4.1%
herbie shell --seed 2025114
(FPCore (x)
:name "Ian Simplification"
:precision binary64
(- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))