
(FPCore (x) :precision binary64 (- (/ (PI) 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
\begin{array}{l}
\\
\frac{\mathsf{PI}\left(\right)}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 7 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (- (/ (PI) 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
\begin{array}{l}
\\
\frac{\mathsf{PI}\left(\right)}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (* 0.5 (PI))) (t_1 (sqrt (fma -0.5 x 0.5))) (t_2 (asin t_1)))
(fma
(/ (* -0.25 (PI)) (fma -2.0 t_2 (* -0.5 (PI))))
(PI)
(* (fma t_0 t_2 (* (- (acos t_1)) t_2)) (/ -4.0 (fma t_2 2.0 t_0))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \mathsf{PI}\left(\right)\\
t_1 := \sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\\
t_2 := \sin^{-1} t\_1\\
\mathsf{fma}\left(\frac{-0.25 \cdot \mathsf{PI}\left(\right)}{\mathsf{fma}\left(-2, t\_2, -0.5 \cdot \mathsf{PI}\left(\right)\right)}, \mathsf{PI}\left(\right), \mathsf{fma}\left(t\_0, t\_2, \left(-\cos^{-1} t\_1\right) \cdot t\_2\right) \cdot \frac{-4}{\mathsf{fma}\left(t\_2, 2, t\_0\right)}\right)
\end{array}
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Applied rewrites6.2%
lift-pow.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
pow2N/A
lift-asin.f64N/A
asin-acosN/A
lift-acos.f64N/A
unsub-negN/A
lift-acos.f64N/A
lift-sqrt.f64N/A
lift-fma.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites7.6%
Final simplification7.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (sqrt (fma -0.5 x 0.5))) (t_1 (asin t_0)))
(fma
(/ (* -0.25 (PI)) (fma -2.0 t_1 (* -0.5 (PI))))
(PI)
(*
(pow (fma (PI) 0.5 (- (acos t_0))) 2.0)
(/ -4.0 (fma t_1 2.0 (* 0.5 (PI))))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\\
t_1 := \sin^{-1} t\_0\\
\mathsf{fma}\left(\frac{-0.25 \cdot \mathsf{PI}\left(\right)}{\mathsf{fma}\left(-2, t\_1, -0.5 \cdot \mathsf{PI}\left(\right)\right)}, \mathsf{PI}\left(\right), {\left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.5, -\cos^{-1} t\_0\right)\right)}^{2} \cdot \frac{-4}{\mathsf{fma}\left(t\_1, 2, 0.5 \cdot \mathsf{PI}\left(\right)\right)}\right)
\end{array}
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Applied rewrites6.2%
lift-asin.f64N/A
asin-acosN/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
lift-acos.f64N/A
unsub-negN/A
lift-PI.f64N/A
div-invN/A
lift-PI.f64N/A
metadata-evalN/A
lift-acos.f64N/A
lift-sqrt.f64N/A
lift-fma.f64N/A
lift-PI.f64N/A
lower-fma.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
Applied rewrites7.6%
Final simplification7.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (acos (sqrt (fma -0.5 x 0.5))))
(t_1 (* t_0 2.0))
(t_2 (* (PI) (PI))))
(/
(fma (pow t_0 3.0) 8.0 (* (* t_2 (PI)) -0.125))
(fma t_2 0.25 (* (- t_1 (* -0.5 (PI))) t_1)))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\\
t_1 := t\_0 \cdot 2\\
t_2 := \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\\
\frac{\mathsf{fma}\left({t\_0}^{3}, 8, \left(t\_2 \cdot \mathsf{PI}\left(\right)\right) \cdot -0.125\right)}{\mathsf{fma}\left(t\_2, 0.25, \left(t\_1 - -0.5 \cdot \mathsf{PI}\left(\right)\right) \cdot t\_1\right)}
\end{array}
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Taylor expanded in x around 0
cancel-sign-sub-invN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
distribute-lft-inN/A
associate-+r+N/A
distribute-rgt1-inN/A
metadata-evalN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
Applied rewrites7.6%
Applied rewrites7.6%
Applied rewrites7.6%
Final simplification7.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (acos (sqrt (fma -0.5 x 0.5)))))
(*
(pow (fma (PI) -0.5 (* t_0 -2.0)) -1.0)
(- (* 0.25 (* (PI) (PI))) (* 4.0 (pow t_0 2.0))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\\
{\left(\mathsf{fma}\left(\mathsf{PI}\left(\right), -0.5, t\_0 \cdot -2\right)\right)}^{-1} \cdot \left(0.25 \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) - 4 \cdot {t\_0}^{2}\right)
\end{array}
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Taylor expanded in x around 0
cancel-sign-sub-invN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
distribute-lft-inN/A
associate-+r+N/A
distribute-rgt1-inN/A
metadata-evalN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
Applied rewrites7.6%
Applied rewrites7.6%
Final simplification7.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (acos (sqrt (fma -0.5 x 0.5)))))
(/
(- (* 0.25 (* (PI) (PI))) (* 4.0 (pow t_0 2.0)))
(fma (PI) -0.5 (* t_0 -2.0)))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\\
\frac{0.25 \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) - 4 \cdot {t\_0}^{2}}{\mathsf{fma}\left(\mathsf{PI}\left(\right), -0.5, t\_0 \cdot -2\right)}
\end{array}
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Taylor expanded in x around 0
cancel-sign-sub-invN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
distribute-lft-inN/A
associate-+r+N/A
distribute-rgt1-inN/A
metadata-evalN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
Applied rewrites7.6%
Applied rewrites7.6%
Final simplification7.6%
(FPCore (x) :precision binary64 (fma -0.5 (PI) (* (acos (sqrt (fma x -0.5 0.5))) 2.0)))
\begin{array}{l}
\\
\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), \cos^{-1} \left(\sqrt{\mathsf{fma}\left(x, -0.5, 0.5\right)}\right) \cdot 2\right)
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Taylor expanded in x around 0
cancel-sign-sub-invN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
distribute-lft-inN/A
associate-+r+N/A
distribute-rgt1-inN/A
metadata-evalN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
Applied rewrites7.6%
(FPCore (x) :precision binary64 (fma -0.5 (PI) (* (acos (sqrt 0.5)) 2.0)))
\begin{array}{l}
\\
\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), \cos^{-1} \left(\sqrt{0.5}\right) \cdot 2\right)
\end{array}
Initial program 6.2%
lift-asin.f64N/A
asin-acosN/A
lift-PI.f64N/A
lift-/.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-acos.f647.6
lift-/.f64N/A
lift--.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
+-commutativeN/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites7.6%
Taylor expanded in x around 0
cancel-sign-sub-invN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
distribute-lft-inN/A
associate-+r+N/A
distribute-rgt1-inN/A
metadata-evalN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
Applied rewrites7.6%
Taylor expanded in x around 0
Applied rewrites5.4%
(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 2024255
(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))))))