
(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 4 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 (sqrt (PI))) (t_1 (sqrt (fma -0.5 x 0.5))))
(/
(fma (pow (acos t_1) 2.0) 4.0 (* (- 0.25) (* (PI) (PI))))
(fma (fma (* t_0 0.5) t_0 (- (asin t_1))) 2.0 (* (PI) 0.5)))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
t_1 := \sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\\
\frac{\mathsf{fma}\left({\cos^{-1} t\_1}^{2}, 4, \left(-0.25\right) \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_0 \cdot 0.5, t\_0, -\sin^{-1} t\_1\right), 2, \mathsf{PI}\left(\right) \cdot 0.5\right)}
\end{array}
\end{array}
Initial program 7.8%
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.f649.2
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 rewrites9.2%
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
+-commutativeN/A
Applied rewrites9.2%
Applied rewrites9.3%
Applied rewrites9.3%
Final simplification9.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (acos (sqrt (fma -0.5 x 0.5)))))
(/
(fma (pow t_0 2.0) 4.0 (* -0.25 (* (PI) (PI))))
(fma t_0 2.0 (* (PI) 0.5)))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\\
\frac{\mathsf{fma}\left({t\_0}^{2}, 4, -0.25 \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right)}{\mathsf{fma}\left(t\_0, 2, \mathsf{PI}\left(\right) \cdot 0.5\right)}
\end{array}
\end{array}
Initial program 7.8%
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.f649.2
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 rewrites9.2%
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
+-commutativeN/A
Applied rewrites9.2%
Applied rewrites9.3%
Applied rewrites9.3%
Final simplification9.3%
(FPCore (x) :precision binary64 (fma (acos (sqrt (fma x -0.5 0.5))) 2.0 (* (PI) -0.5)))
\begin{array}{l}
\\
\mathsf{fma}\left(\cos^{-1} \left(\sqrt{\mathsf{fma}\left(x, -0.5, 0.5\right)}\right), 2, \mathsf{PI}\left(\right) \cdot -0.5\right)
\end{array}
Initial program 7.8%
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.f649.2
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 rewrites9.2%
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
+-commutativeN/A
Applied rewrites9.2%
Final simplification9.2%
(FPCore (x) :precision binary64 (fma (acos (sqrt 0.5)) 2.0 (* (PI) -0.5)))
\begin{array}{l}
\\
\mathsf{fma}\left(\cos^{-1} \left(\sqrt{0.5}\right), 2, \mathsf{PI}\left(\right) \cdot -0.5\right)
\end{array}
Initial program 7.8%
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.f649.2
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 rewrites9.2%
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
+-commutativeN/A
Applied rewrites9.2%
Taylor expanded in x around 0
Applied rewrites5.3%
Final simplification5.3%
(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 2024270
(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))))))