
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 28 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(fma
(fma (fma (sqrt 5.0) 0.5 -0.5) (cos x) 1.0)
3.0
(* (- 1.5 (* (sqrt 5.0) 0.5)) (* (cos y) 3.0)))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / fma(fma(fma(sqrt(5.0), 0.5, -0.5), cos(x), 1.0), 3.0, ((1.5 - (sqrt(5.0) * 0.5)) * (cos(y) * 3.0)));
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / fma(fma(fma(sqrt(5.0), 0.5, -0.5), cos(x), 1.0), 3.0, Float64(Float64(1.5 - Float64(sqrt(5.0) * 0.5)) * Float64(cos(y) * 3.0)))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), \cos x, 1\right), 3, \left(1.5 - \sqrt{5} \cdot 0.5\right) \cdot \left(\cos y \cdot 3\right)\right)}
\end{array}
Initial program 99.2%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y))))
2.0)
(fma
(fma (sqrt 5.0) -1.5 4.5)
(cos y)
(fma (cos x) (fma 3.0 (* (sqrt 5.0) 0.5) -1.5) 3.0))))
double code(double x, double y) {
return fma((cos(x) - cos(y)), (sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), 2.0) / fma(fma(sqrt(5.0), -1.5, 4.5), cos(y), fma(cos(x), fma(3.0, (sqrt(5.0) * 0.5), -1.5), 3.0));
}
function code(x, y) return Float64(fma(Float64(cos(x) - cos(y)), Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), 2.0) / fma(fma(sqrt(5.0), -1.5, 4.5), cos(y), fma(cos(x), fma(3.0, Float64(sqrt(5.0) * 0.5), -1.5), 3.0))) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Sqrt[5.0], $MachinePrecision] * -1.5 + 4.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(3.0 * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision] + -1.5), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\cos x - \cos y, \sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -1.5, 4.5\right), \cos y, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(3, \sqrt{5} \cdot 0.5, -1.5\right), 3\right)\right)}
\end{array}
Initial program 99.2%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.3%
Taylor expanded in x around inf
Simplified99.3%
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
metadata-evalN/A
distribute-lft-inN/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
Applied egg-rr99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y))))
2.0)
(fma
(fma (sqrt 5.0) 1.5 -1.5)
(cos x)
(fma (cos y) (fma (sqrt 5.0) -1.5 4.5) 3.0))))
double code(double x, double y) {
return fma((cos(x) - cos(y)), (sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), 2.0) / fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), fma(cos(y), fma(sqrt(5.0), -1.5, 4.5), 3.0));
}
function code(x, y) return Float64(fma(Float64(cos(x) - cos(y)), Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), 2.0) / fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), fma(cos(y), fma(sqrt(5.0), -1.5, 4.5), 3.0))) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + -1.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * -1.5 + 4.5), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\cos x - \cos y, \sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 1.5, -1.5\right), \cos x, \mathsf{fma}\left(\cos y, \mathsf{fma}\left(\sqrt{5}, -1.5, 4.5\right), 3\right)\right)}
\end{array}
Initial program 99.2%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.3%
Taylor expanded in x around inf
Simplified99.3%
Taylor expanded in x around inf
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
sub-negN/A
metadata-evalN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
accelerator-lowering-fma.f64N/A
Simplified99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) 3.0))
(t_1 (fma (sqrt 5.0) 0.5 -0.5))
(t_2 (- (sin y) (/ (sin x) 16.0)))
(t_3
(/
(+ 2.0 (* (- (cos x) (cos y)) (* t_2 (* (sqrt 2.0) (sin x)))))
(fma t_1 (* (cos x) 3.0) (fma (fma (sqrt 5.0) -0.5 1.5) t_0 3.0)))))
(if (<= x -0.025)
t_3
(if (<= x 5.2e-23)
(/
(+
2.0
(*
(* t_2 (* (sqrt 2.0) (fma -0.0625 (sin y) x)))
(fma x (* x -0.5) (- 1.0 (cos y)))))
(fma (fma t_1 (cos x) 1.0) 3.0 (* (- 1.5 (* (sqrt 5.0) 0.5)) t_0)))
t_3))))
double code(double x, double y) {
double t_0 = cos(y) * 3.0;
double t_1 = fma(sqrt(5.0), 0.5, -0.5);
double t_2 = sin(y) - (sin(x) / 16.0);
double t_3 = (2.0 + ((cos(x) - cos(y)) * (t_2 * (sqrt(2.0) * sin(x))))) / fma(t_1, (cos(x) * 3.0), fma(fma(sqrt(5.0), -0.5, 1.5), t_0, 3.0));
double tmp;
if (x <= -0.025) {
tmp = t_3;
} else if (x <= 5.2e-23) {
tmp = (2.0 + ((t_2 * (sqrt(2.0) * fma(-0.0625, sin(y), x))) * fma(x, (x * -0.5), (1.0 - cos(y))))) / fma(fma(t_1, cos(x), 1.0), 3.0, ((1.5 - (sqrt(5.0) * 0.5)) * t_0));
} else {
tmp = t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * 3.0) t_1 = fma(sqrt(5.0), 0.5, -0.5) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_3 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_2 * Float64(sqrt(2.0) * sin(x))))) / fma(t_1, Float64(cos(x) * 3.0), fma(fma(sqrt(5.0), -0.5, 1.5), t_0, 3.0))) tmp = 0.0 if (x <= -0.025) tmp = t_3; elseif (x <= 5.2e-23) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))) * fma(x, Float64(x * -0.5), Float64(1.0 - cos(y))))) / fma(fma(t_1, cos(x), 1.0), 3.0, Float64(Float64(1.5 - Float64(sqrt(5.0) * 0.5)) * t_0))); else tmp = t_3; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] * 3.0), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.025], t$95$3, If[LessEqual[x, 5.2e-23], N[(N[(2.0 + N[(N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$1 * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot 3\\
t_1 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\\
t_2 := \sin y - \frac{\sin x}{16}\\
t_3 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(t\_2 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{\mathsf{fma}\left(t\_1, \cos x \cdot 3, \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), t\_0, 3\right)\right)}\\
\mathbf{if}\;x \leq -0.025:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{2 + \left(t\_2 \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right) \cdot \mathsf{fma}\left(x, x \cdot -0.5, 1 - \cos y\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_1, \cos x, 1\right), 3, \left(1.5 - \sqrt{5} \cdot 0.5\right) \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if x < -0.025000000000000001 or 5.2e-23 < x Initial program 98.8%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.0%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.1%
Taylor expanded in y around 0
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sin-lowering-sin.f6464.1
Simplified64.1%
if -0.025000000000000001 < x < 5.2e-23Initial program 99.6%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f6499.6
Simplified99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6499.6
Simplified99.6%
Final simplification81.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 1.5 (* (sqrt 5.0) 0.5)))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2 (- (cos x) (cos y)))
(t_3 (fma (sqrt 5.0) 0.5 -0.5)))
(if (<= x -0.06)
(/
(fma (sin x) (* (sqrt 2.0) (* t_2 (fma (sin x) -0.0625 (sin y)))) 2.0)
(* 3.0 (fma (fma (sqrt 5.0) -0.5 1.5) (cos y) (fma (cos x) t_3 1.0))))
(if (<= x 5.2e-23)
(/
(+
2.0
(*
(* t_1 (* (sqrt 2.0) (fma -0.0625 (sin y) x)))
(fma x (* x -0.5) (- 1.0 (cos y)))))
(fma (fma t_3 (cos x) 1.0) 3.0 (* t_0 (* (cos y) 3.0))))
(/
(+ 2.0 (* t_2 (* t_1 (* (sqrt 2.0) (sin x)))))
(* 3.0 (+ (fma t_0 (cos y) 1.0) (* (cos x) t_3))))))))
double code(double x, double y) {
double t_0 = 1.5 - (sqrt(5.0) * 0.5);
double t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = cos(x) - cos(y);
double t_3 = fma(sqrt(5.0), 0.5, -0.5);
double tmp;
if (x <= -0.06) {
tmp = fma(sin(x), (sqrt(2.0) * (t_2 * fma(sin(x), -0.0625, sin(y)))), 2.0) / (3.0 * fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), t_3, 1.0)));
} else if (x <= 5.2e-23) {
tmp = (2.0 + ((t_1 * (sqrt(2.0) * fma(-0.0625, sin(y), x))) * fma(x, (x * -0.5), (1.0 - cos(y))))) / fma(fma(t_3, cos(x), 1.0), 3.0, (t_0 * (cos(y) * 3.0)));
} else {
tmp = (2.0 + (t_2 * (t_1 * (sqrt(2.0) * sin(x))))) / (3.0 * (fma(t_0, cos(y), 1.0) + (cos(x) * t_3)));
}
return tmp;
}
function code(x, y) t_0 = Float64(1.5 - Float64(sqrt(5.0) * 0.5)) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = Float64(cos(x) - cos(y)) t_3 = fma(sqrt(5.0), 0.5, -0.5) tmp = 0.0 if (x <= -0.06) tmp = Float64(fma(sin(x), Float64(sqrt(2.0) * Float64(t_2 * fma(sin(x), -0.0625, sin(y)))), 2.0) / Float64(3.0 * fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), t_3, 1.0)))); elseif (x <= 5.2e-23) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))) * fma(x, Float64(x * -0.5), Float64(1.0 - cos(y))))) / fma(fma(t_3, cos(x), 1.0), 3.0, Float64(t_0 * Float64(cos(y) * 3.0)))); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_1 * Float64(sqrt(2.0) * sin(x))))) / Float64(3.0 * Float64(fma(t_0, cos(y), 1.0) + Float64(cos(x) * t_3)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]}, If[LessEqual[x, -0.06], N[(N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$3 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.2e-23], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$3 * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(t$95$0 * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(t$95$0 * N[Cos[y], $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1.5 - \sqrt{5} \cdot 0.5\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \cos x - \cos y\\
t_3 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\\
\mathbf{if}\;x \leq -0.06:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sin x, \sqrt{2} \cdot \left(t\_2 \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right), 2\right)}{3 \cdot \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y, \mathsf{fma}\left(\cos x, t\_3, 1\right)\right)}\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{2 + \left(t\_1 \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right) \cdot \mathsf{fma}\left(x, x \cdot -0.5, 1 - \cos y\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_3, \cos x, 1\right), 3, t\_0 \cdot \left(\cos y \cdot 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(t\_1 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{3 \cdot \left(\mathsf{fma}\left(t\_0, \cos y, 1\right) + \cos x \cdot t\_3\right)}\\
\end{array}
\end{array}
if x < -0.059999999999999998Initial program 98.9%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
div-subN/A
--lowering--.f64N/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.7%
Applied egg-rr99.0%
Taylor expanded in y around 0
sin-lowering-sin.f6460.7
Simplified60.7%
if -0.059999999999999998 < x < 5.2e-23Initial program 99.6%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f6499.6
Simplified99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6499.6
Simplified99.6%
if 5.2e-23 < x Initial program 98.7%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
div-subN/A
--lowering--.f64N/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.9%
Taylor expanded in y around 0
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sin-lowering-sin.f6467.0
Simplified67.0%
Final simplification81.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sqrt 5.0) 0.5 -0.5))
(t_1
(/
(fma
(sin x)
(* (sqrt 2.0) (* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y))))
2.0)
(*
3.0
(fma (fma (sqrt 5.0) -0.5 1.5) (cos y) (fma (cos x) t_0 1.0))))))
(if (<= x -0.0205)
t_1
(if (<= x 5.2e-23)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 (sin y) x)))
(fma x (* x -0.5) (- 1.0 (cos y)))))
(fma
(fma t_0 (cos x) 1.0)
3.0
(* (- 1.5 (* (sqrt 5.0) 0.5)) (* (cos y) 3.0))))
t_1))))
double code(double x, double y) {
double t_0 = fma(sqrt(5.0), 0.5, -0.5);
double t_1 = fma(sin(x), (sqrt(2.0) * ((cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / (3.0 * fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), t_0, 1.0)));
double tmp;
if (x <= -0.0205) {
tmp = t_1;
} else if (x <= 5.2e-23) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, sin(y), x))) * fma(x, (x * -0.5), (1.0 - cos(y))))) / fma(fma(t_0, cos(x), 1.0), 3.0, ((1.5 - (sqrt(5.0) * 0.5)) * (cos(y) * 3.0)));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(sqrt(5.0), 0.5, -0.5) t_1 = Float64(fma(sin(x), Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / Float64(3.0 * fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), t_0, 1.0)))) tmp = 0.0 if (x <= -0.0205) tmp = t_1; elseif (x <= 5.2e-23) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))) * fma(x, Float64(x * -0.5), Float64(1.0 - cos(y))))) / fma(fma(t_0, cos(x), 1.0), 3.0, Float64(Float64(1.5 - Float64(sqrt(5.0) * 0.5)) * Float64(cos(y) * 3.0)))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0205], t$95$1, If[LessEqual[x, 5.2e-23], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\\
t_1 := \frac{\mathsf{fma}\left(\sin x, \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right), 2\right)}{3 \cdot \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y, \mathsf{fma}\left(\cos x, t\_0, 1\right)\right)}\\
\mathbf{if}\;x \leq -0.0205:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right) \cdot \mathsf{fma}\left(x, x \cdot -0.5, 1 - \cos y\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \cos x, 1\right), 3, \left(1.5 - \sqrt{5} \cdot 0.5\right) \cdot \left(\cos y \cdot 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.0205000000000000009 or 5.2e-23 < x Initial program 98.8%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
div-subN/A
--lowering--.f64N/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.8%
Applied egg-rr98.9%
Taylor expanded in y around 0
sin-lowering-sin.f6464.0
Simplified64.0%
if -0.0205000000000000009 < x < 5.2e-23Initial program 99.6%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f6499.6
Simplified99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6499.6
Simplified99.6%
Final simplification81.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sqrt 5.0) 0.5 -0.5))
(t_1 (pow (sin y) 2.0))
(t_2 (fma (sqrt 5.0) -0.5 1.5)))
(if (<= y -0.012)
(/
(fma t_1 (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma t_0 (* (cos x) 3.0) (fma t_2 (* (cos y) 3.0) 3.0)))
(if (<= y 1.5e-6)
(/
(fma
(fma (sin y) -0.0625 (sin x))
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (fma -0.0625 (sin x) y))
2.0)
(* 3.0 (fma t_2 (cos y) (fma (cos x) t_0 1.0))))
(/
(fma t_1 (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma
1.5
(fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0))))
3.0))))))
double code(double x, double y) {
double t_0 = fma(sqrt(5.0), 0.5, -0.5);
double t_1 = pow(sin(y), 2.0);
double t_2 = fma(sqrt(5.0), -0.5, 1.5);
double tmp;
if (y <= -0.012) {
tmp = fma(t_1, ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(t_0, (cos(x) * 3.0), fma(t_2, (cos(y) * 3.0), 3.0));
} else if (y <= 1.5e-6) {
tmp = fma(fma(sin(y), -0.0625, sin(x)), ((sqrt(2.0) * (cos(x) + -1.0)) * fma(-0.0625, sin(x), y)), 2.0) / (3.0 * fma(t_2, cos(y), fma(cos(x), t_0, 1.0)));
} else {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(sqrt(5.0), 0.5, -0.5) t_1 = sin(y) ^ 2.0 t_2 = fma(sqrt(5.0), -0.5, 1.5) tmp = 0.0 if (y <= -0.012) tmp = Float64(fma(t_1, Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(t_0, Float64(cos(x) * 3.0), fma(t_2, Float64(cos(y) * 3.0), 3.0))); elseif (y <= 1.5e-6) tmp = Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * fma(-0.0625, sin(x), y)), 2.0) / Float64(3.0 * fma(t_2, cos(y), fma(cos(x), t_0, 1.0)))); else tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision]}, If[LessEqual[y, -0.012], N[(N[(t$95$1 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] * 3.0), $MachinePrecision] + N[(t$95$2 * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.5e-6], N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\\
t_1 := {\sin y}^{2}\\
t_2 := \mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right)\\
\mathbf{if}\;y \leq -0.012:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(t\_0, \cos x \cdot 3, \mathsf{fma}\left(t\_2, \cos y \cdot 3, 3\right)\right)}\\
\mathbf{elif}\;y \leq 1.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, y\right), 2\right)}{3 \cdot \mathsf{fma}\left(t\_2, \cos y, \mathsf{fma}\left(\cos x, t\_0, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.012Initial program 98.9%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6460.6
Simplified60.6%
if -0.012 < y < 1.5e-6Initial program 99.4%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
div-subN/A
--lowering--.f64N/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.4%
Applied egg-rr99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f6498.9
Simplified98.9%
if 1.5e-6 < y Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified63.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Simplified63.3%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)) (t_1 (pow (sin y) 2.0)))
(if (<= y -0.0118)
(/
(fma t_1 (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma
(fma (sqrt 5.0) 0.5 -0.5)
(* (cos x) 3.0)
(fma (fma (sqrt 5.0) -0.5 1.5) (* (cos y) 3.0) 3.0)))
(if (<= y 1.5e-6)
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma y -0.0625 (sin x))))))
(fma 1.5 (- (fma t_0 (cos x) 3.0) (sqrt 5.0)) 3.0))
(/
(fma t_1 (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos x) t_0 (* (cos y) (- 3.0 (sqrt 5.0)))) 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = pow(sin(y), 2.0);
double tmp;
if (y <= -0.0118) {
tmp = fma(t_1, ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(fma(sqrt(5.0), 0.5, -0.5), (cos(x) * 3.0), fma(fma(sqrt(5.0), -0.5, 1.5), (cos(y) * 3.0), 3.0));
} else if (y <= 1.5e-6) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(y, -0.0625, sin(x)))))) / fma(1.5, (fma(t_0, cos(x), 3.0) - sqrt(5.0)), 3.0);
} else {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(x), t_0, (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = sin(y) ^ 2.0 tmp = 0.0 if (y <= -0.0118) tmp = Float64(fma(t_1, Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(fma(sqrt(5.0), 0.5, -0.5), Float64(cos(x) * 3.0), fma(fma(sqrt(5.0), -0.5, 1.5), Float64(cos(y) * 3.0), 3.0))); elseif (y <= 1.5e-6) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(y, -0.0625, sin(x)))))) / fma(1.5, Float64(fma(t_0, cos(x), 3.0) - sqrt(5.0)), 3.0)); else tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[y, -0.0118], N[(N[(t$95$1 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * 3.0), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.5e-6], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(y * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := {\sin y}^{2}\\
\mathbf{if}\;y \leq -0.0118:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), \cos x \cdot 3, \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y \cdot 3, 3\right)\right)}\\
\mathbf{elif}\;y \leq 1.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(y, -0.0625, \sin x\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, 3\right) - \sqrt{5}, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0117999999999999997Initial program 98.9%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6460.6
Simplified60.6%
if -0.0117999999999999997 < y < 1.5e-6Initial program 99.4%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Simplified98.8%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
+-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f6498.8
Simplified98.8%
if 1.5e-6 < y Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified63.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Simplified63.3%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (pow (sin y) 2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= y -0.0118)
(/
(fma t_1 (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma
(fma (sqrt 5.0) 0.5 -0.5)
(* (cos x) 3.0)
(fma (fma (sqrt 5.0) -0.5 1.5) (* (cos y) 3.0) 3.0)))
(if (<= y 0.0006)
(/
(fma
0.3333333333333333
(* (pow (sin x) 2.0) (* (sqrt 2.0) (fma -0.0625 (cos x) 0.0625)))
0.6666666666666666)
(fma 0.5 (fma (cos y) t_2 (* (cos x) t_0)) 1.0))
(/
(fma t_1 (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos x) t_0 (* (cos y) t_2)) 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = pow(sin(y), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (y <= -0.0118) {
tmp = fma(t_1, ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(fma(sqrt(5.0), 0.5, -0.5), (cos(x) * 3.0), fma(fma(sqrt(5.0), -0.5, 1.5), (cos(y) * 3.0), 3.0));
} else if (y <= 0.0006) {
tmp = fma(0.3333333333333333, (pow(sin(x), 2.0) * (sqrt(2.0) * fma(-0.0625, cos(x), 0.0625))), 0.6666666666666666) / fma(0.5, fma(cos(y), t_2, (cos(x) * t_0)), 1.0);
} else {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(x), t_0, (cos(y) * t_2)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = sin(y) ^ 2.0 t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (y <= -0.0118) tmp = Float64(fma(t_1, Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(fma(sqrt(5.0), 0.5, -0.5), Float64(cos(x) * 3.0), fma(fma(sqrt(5.0), -0.5, 1.5), Float64(cos(y) * 3.0), 3.0))); elseif (y <= 0.0006) tmp = Float64(fma(0.3333333333333333, Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * fma(-0.0625, cos(x), 0.0625))), 0.6666666666666666) / fma(0.5, fma(cos(y), t_2, Float64(cos(x) * t_0)), 1.0)); else tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(cos(y) * t_2)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0118], N[(N[(t$95$1 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * 3.0), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0006], N[(N[(0.3333333333333333 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2 + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := {\sin y}^{2}\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;y \leq -0.0118:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), \cos x \cdot 3, \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y \cdot 3, 3\right)\right)}\\
\mathbf{elif}\;y \leq 0.0006:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_2, \cos x \cdot t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \cos y \cdot t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0117999999999999997Initial program 98.9%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6460.6
Simplified60.6%
if -0.0117999999999999997 < y < 5.99999999999999947e-4Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified98.4%
Taylor expanded in x around inf
Simplified98.7%
if 5.99999999999999947e-4 < y Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified62.7%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Simplified62.8%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= y -0.0118)
(/
(fma (- 0.5 (* 0.5 (cos (+ y y)))) t_1 2.0)
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_0 2.0)))))
(if (<= y 0.0008)
(/
(fma
0.3333333333333333
(* (pow (sin x) 2.0) (* (sqrt 2.0) (fma -0.0625 (cos x) 0.0625)))
0.6666666666666666)
(fma 0.5 (fma (cos y) t_0 (* (cos x) t_2)) 1.0))
(/
(fma (pow (sin y) 2.0) t_1 2.0)
(fma 1.5 (fma (cos x) t_2 (* (cos y) t_0)) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(2.0) * fma(cos(y), 0.0625, -0.0625);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -0.0118) {
tmp = fma((0.5 - (0.5 * cos((y + y)))), t_1, 2.0) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else if (y <= 0.0008) {
tmp = fma(0.3333333333333333, (pow(sin(x), 2.0) * (sqrt(2.0) * fma(-0.0625, cos(x), 0.0625))), 0.6666666666666666) / fma(0.5, fma(cos(y), t_0, (cos(x) * t_2)), 1.0);
} else {
tmp = fma(pow(sin(y), 2.0), t_1, 2.0) / fma(1.5, fma(cos(x), t_2, (cos(y) * t_0)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -0.0118) tmp = Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(y + y)))), t_1, 2.0) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); elseif (y <= 0.0008) tmp = Float64(fma(0.3333333333333333, Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * fma(-0.0625, cos(x), 0.0625))), 0.6666666666666666) / fma(0.5, fma(cos(y), t_0, Float64(cos(x) * t_2)), 1.0)); else tmp = Float64(fma((sin(y) ^ 2.0), t_1, 2.0) / fma(1.5, fma(cos(x), t_2, Float64(cos(y) * t_0)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -0.0118], N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(y + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0008], N[(N[(0.3333333333333333 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.0118:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(y + y\right), t\_1, 2\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_2}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{elif}\;y \leq 0.0008:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_2\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, t\_1, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, \cos y \cdot t\_0\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0117999999999999997Initial program 98.9%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified60.5%
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f6460.5
Applied egg-rr60.5%
if -0.0117999999999999997 < y < 8.00000000000000038e-4Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified98.4%
Taylor expanded in x around inf
Simplified98.7%
if 8.00000000000000038e-4 < y Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified62.7%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Simplified62.8%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= y -0.0118)
(/
(fma (- 0.5 (* 0.5 (cos (+ y y)))) t_1 2.0)
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_0 2.0)))))
(if (<= y 1.5e-6)
(*
(fma
(+ 0.5 (* -0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(/
0.3333333333333333
(fma
(fma (sqrt 5.0) -0.5 1.5)
(cos y)
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0))))
(/
(fma (pow (sin y) 2.0) t_1 2.0)
(fma 1.5 (fma (cos x) t_2 (* (cos y) t_0)) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(2.0) * fma(cos(y), 0.0625, -0.0625);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -0.0118) {
tmp = fma((0.5 - (0.5 * cos((y + y)))), t_1, 2.0) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else if (y <= 1.5e-6) {
tmp = fma((0.5 + (-0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * (0.3333333333333333 / fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)));
} else {
tmp = fma(pow(sin(y), 2.0), t_1, 2.0) / fma(1.5, fma(cos(x), t_2, (cos(y) * t_0)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -0.0118) tmp = Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(y + y)))), t_1, 2.0) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); elseif (y <= 1.5e-6) tmp = Float64(fma(Float64(0.5 + Float64(-0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * Float64(0.3333333333333333 / fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)))); else tmp = Float64(fma((sin(y) ^ 2.0), t_1, 2.0) / fma(1.5, fma(cos(x), t_2, Float64(cos(y) * t_0)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -0.0118], N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(y + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.5e-6], N[(N[(N[(0.5 + N[(-0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * N[(0.3333333333333333 / N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.0118:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(y + y\right), t\_1, 2\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_2}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{elif}\;y \leq 1.5 \cdot 10^{-6}:\\
\;\;\;\;\mathsf{fma}\left(0.5 + -0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right) \cdot \frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, t\_1, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, \cos y \cdot t\_0\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0117999999999999997Initial program 98.9%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified60.5%
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f6460.5
Applied egg-rr60.5%
if -0.0117999999999999997 < y < 1.5e-6Initial program 99.4%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified98.4%
Applied egg-rr98.7%
if 1.5e-6 < y Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified63.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Simplified63.3%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(fma
(- 0.5 (* 0.5 (cos (+ y y))))
(* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625))
2.0)
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))))
(if (<= y -0.0118)
t_0
(if (<= y 1.5e-6)
(*
(fma
(+ 0.5 (* -0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(/
0.3333333333333333
(fma
(fma (sqrt 5.0) -0.5 1.5)
(cos y)
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0))))
t_0))))
double code(double x, double y) {
double t_0 = fma((0.5 - (0.5 * cos((y + y)))), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
double tmp;
if (y <= -0.0118) {
tmp = t_0;
} else if (y <= 1.5e-6) {
tmp = fma((0.5 + (-0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * (0.3333333333333333 / fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)));
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(y + y)))), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) tmp = 0.0 if (y <= -0.0118) tmp = t_0; elseif (y <= 1.5e-6) tmp = Float64(fma(Float64(0.5 + Float64(-0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * Float64(0.3333333333333333 / fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)))); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(y + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0118], t$95$0, If[LessEqual[y, 1.5e-6], N[(N[(N[(0.5 + N[(-0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * N[(0.3333333333333333 / N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(y + y\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{if}\;y \leq -0.0118:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;y \leq 1.5 \cdot 10^{-6}:\\
\;\;\;\;\mathsf{fma}\left(0.5 + -0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right) \cdot \frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if y < -0.0117999999999999997 or 1.5e-6 < y Initial program 99.0%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.9%
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f6461.9
Applied egg-rr61.9%
if -0.0117999999999999997 < y < 1.5e-6Initial program 99.4%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified98.4%
Applied egg-rr98.7%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
(fma
(+ 0.5 (* -0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(/
0.3333333333333333
(fma
(fma (sqrt 5.0) -0.5 1.5)
(cos y)
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0))))))
(if (<= x -4.2e-6)
t_0
(if (<= x 5.2e-23)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (+ (sqrt 5.0) -1.0)) 3.0))
t_0))))
double code(double x, double y) {
double t_0 = fma((0.5 + (-0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * (0.3333333333333333 / fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)));
double tmp;
if (x <= -4.2e-6) {
tmp = t_0;
} else if (x <= 5.2e-23) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (sqrt(5.0) + -1.0)), 3.0);
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma(Float64(0.5 + Float64(-0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * Float64(0.3333333333333333 / fma(fma(sqrt(5.0), -0.5, 1.5), cos(y), fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)))) tmp = 0.0 if (x <= -4.2e-6) tmp = t_0; elseif (x <= 5.2e-23) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(sqrt(5.0) + -1.0)), 3.0)); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(0.5 + N[(-0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * N[(0.3333333333333333 / N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -4.2e-6], t$95$0, If[LessEqual[x, 5.2e-23], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5 + -0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right) \cdot \frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right)\right)}\\
\mathbf{if}\;x \leq -4.2 \cdot 10^{-6}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5} + -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -4.1999999999999996e-6 or 5.2e-23 < x Initial program 98.8%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified60.3%
Applied egg-rr60.5%
if -4.1999999999999996e-6 < x < 5.2e-23Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.3
Simplified99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sqrt 5.0) 0.5 -0.5))
(t_1 (pow (sin x) 2.0))
(t_2 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))))
(if (<= x -5.2e-6)
(/
(fma t_1 t_2 2.0)
(fma (fma t_0 (cos x) 1.0) 3.0 (fma (sqrt 5.0) -1.5 4.5)))
(if (<= x 5.2e-23)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (+ (sqrt 5.0) -1.0)) 3.0))
(/
(fma (* t_1 t_2) 0.3333333333333333 0.6666666666666666)
(fma -0.5 (sqrt 5.0) (fma t_0 (cos x) 2.5)))))))
double code(double x, double y) {
double t_0 = fma(sqrt(5.0), 0.5, -0.5);
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(2.0) * fma(cos(x), -0.0625, 0.0625);
double tmp;
if (x <= -5.2e-6) {
tmp = fma(t_1, t_2, 2.0) / fma(fma(t_0, cos(x), 1.0), 3.0, fma(sqrt(5.0), -1.5, 4.5));
} else if (x <= 5.2e-23) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (sqrt(5.0) + -1.0)), 3.0);
} else {
tmp = fma((t_1 * t_2), 0.3333333333333333, 0.6666666666666666) / fma(-0.5, sqrt(5.0), fma(t_0, cos(x), 2.5));
}
return tmp;
}
function code(x, y) t_0 = fma(sqrt(5.0), 0.5, -0.5) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)) tmp = 0.0 if (x <= -5.2e-6) tmp = Float64(fma(t_1, t_2, 2.0) / fma(fma(t_0, cos(x), 1.0), 3.0, fma(sqrt(5.0), -1.5, 4.5))); elseif (x <= 5.2e-23) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(sqrt(5.0) + -1.0)), 3.0)); else tmp = Float64(fma(Float64(t_1 * t_2), 0.3333333333333333, 0.6666666666666666) / fma(-0.5, sqrt(5.0), fma(t_0, cos(x), 2.5))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -5.2e-6], N[(N[(t$95$1 * t$95$2 + 2.0), $MachinePrecision] / N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[Sqrt[5.0], $MachinePrecision] * -1.5 + 4.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.2e-23], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 * t$95$2), $MachinePrecision] * 0.3333333333333333 + 0.6666666666666666), $MachinePrecision] / N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision] + 2.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\\
t_1 := {\sin x}^{2}\\
t_2 := \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\\
\mathbf{if}\;x \leq -5.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, t\_2, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \cos x, 1\right), 3, \mathsf{fma}\left(\sqrt{5}, -1.5, 4.5\right)\right)}\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5} + -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1 \cdot t\_2, 0.3333333333333333, 0.6666666666666666\right)}{\mathsf{fma}\left(-0.5, \sqrt{5}, \mathsf{fma}\left(t\_0, \cos x, 2.5\right)\right)}\\
\end{array}
\end{array}
if x < -5.20000000000000019e-6Initial program 98.9%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.2%
Taylor expanded in y around 0
Simplified55.4%
if -5.20000000000000019e-6 < x < 5.2e-23Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.3
Simplified99.3%
if 5.2e-23 < x Initial program 98.7%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
div-subN/A
--lowering--.f64N/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.9%
Applied egg-rr98.7%
Taylor expanded in y around 0
Simplified63.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (pow (sin x) 2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -7.8e-6)
(*
0.3333333333333333
(/
(fma t_1 (* (sqrt 2.0) (fma -0.0625 (cos x) 0.0625)) 2.0)
(fma 0.5 (fma (cos x) t_0 t_2) 1.0)))
(if (<= x 5.2e-23)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_2 t_0) 3.0))
(/
(fma
(* t_1 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)))
0.3333333333333333
0.6666666666666666)
(fma -0.5 (sqrt 5.0) (fma (fma (sqrt 5.0) 0.5 -0.5) (cos x) 2.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = pow(sin(x), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -7.8e-6) {
tmp = 0.3333333333333333 * (fma(t_1, (sqrt(2.0) * fma(-0.0625, cos(x), 0.0625)), 2.0) / fma(0.5, fma(cos(x), t_0, t_2), 1.0));
} else if (x <= 5.2e-23) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0);
} else {
tmp = fma((t_1 * (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625))), 0.3333333333333333, 0.6666666666666666) / fma(-0.5, sqrt(5.0), fma(fma(sqrt(5.0), 0.5, -0.5), cos(x), 2.5));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = sin(x) ^ 2.0 t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -7.8e-6) tmp = Float64(0.3333333333333333 * Float64(fma(t_1, Float64(sqrt(2.0) * fma(-0.0625, cos(x), 0.0625)), 2.0) / fma(0.5, fma(cos(x), t_0, t_2), 1.0))); elseif (x <= 5.2e-23) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0)); else tmp = Float64(fma(Float64(t_1 * Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625))), 0.3333333333333333, 0.6666666666666666) / fma(-0.5, sqrt(5.0), fma(fma(sqrt(5.0), 0.5, -0.5), cos(x), 2.5))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -7.8e-6], N[(0.3333333333333333 * N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.2e-23], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333 + 0.6666666666666666), $MachinePrecision] / N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 2.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := {\sin x}^{2}\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -7.8 \cdot 10^{-6}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_0, t\_2\right), 1\right)}\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_2, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1 \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.3333333333333333, 0.6666666666666666\right)}{\mathsf{fma}\left(-0.5, \sqrt{5}, \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), \cos x, 2.5\right)\right)}\\
\end{array}
\end{array}
if x < -7.7999999999999999e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified56.3%
Taylor expanded in y around 0
Simplified55.4%
if -7.7999999999999999e-6 < x < 5.2e-23Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.3
Simplified99.3%
if 5.2e-23 < x Initial program 98.7%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
div-subN/A
--lowering--.f64N/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.9%
Applied egg-rr98.7%
Taylor expanded in y around 0
Simplified63.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2
(*
0.3333333333333333
(/
(fma
(pow (sin x) 2.0)
(* (sqrt 2.0) (fma -0.0625 (cos x) 0.0625))
2.0)
(fma 0.5 (fma (cos x) t_1 t_0) 1.0)))))
(if (<= x -3.5e-5)
t_2
(if (<= x 5.2e-23)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_0 t_1) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = 0.3333333333333333 * (fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(-0.0625, cos(x), 0.0625)), 2.0) / fma(0.5, fma(cos(x), t_1, t_0), 1.0));
double tmp;
if (x <= -3.5e-5) {
tmp = t_2;
} else if (x <= 5.2e-23) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(0.3333333333333333 * Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(-0.0625, cos(x), 0.0625)), 2.0) / fma(0.5, fma(cos(x), t_1, t_0), 1.0))) tmp = 0.0 if (x <= -3.5e-5) tmp = t_2; elseif (x <= 5.2e-23) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(0.3333333333333333 * N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -3.5e-5], t$95$2, If[LessEqual[x, 5.2e-23], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := 0.3333333333333333 \cdot \frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_1, t\_0\right), 1\right)}\\
\mathbf{if}\;x \leq -3.5 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -3.4999999999999997e-5 or 5.2e-23 < x Initial program 98.8%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified60.3%
Taylor expanded in y around 0
Simplified59.5%
if -3.4999999999999997e-5 < x < 5.2e-23Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.3
Simplified99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (cos x) -0.0625 0.0625)) (t_1 (+ (sqrt 5.0) -1.0)))
(if (<= x -2.3e-5)
(/
1.0
(/
(fma (- (fma (cos x) t_1 3.0) (sqrt 5.0)) 1.5 3.0)
(fma (- 0.5 (* 0.5 (cos (+ x x)))) (* (sqrt 2.0) t_0) 2.0)))
(if (<= x 5.2e-23)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_1) 3.0))
(/
(fma (sqrt 2.0) (* (pow (sin x) 2.0) t_0) 2.0)
(fma (sqrt 5.0) -1.5 (fma (fma (sqrt 5.0) 1.5 -1.5) (cos x) 7.5)))))))
double code(double x, double y) {
double t_0 = fma(cos(x), -0.0625, 0.0625);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -2.3e-5) {
tmp = 1.0 / (fma((fma(cos(x), t_1, 3.0) - sqrt(5.0)), 1.5, 3.0) / fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * t_0), 2.0));
} else if (x <= 5.2e-23) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_1), 3.0);
} else {
tmp = fma(sqrt(2.0), (pow(sin(x), 2.0) * t_0), 2.0) / fma(sqrt(5.0), -1.5, fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), 7.5));
}
return tmp;
}
function code(x, y) t_0 = fma(cos(x), -0.0625, 0.0625) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -2.3e-5) tmp = Float64(1.0 / Float64(fma(Float64(fma(cos(x), t_1, 3.0) - sqrt(5.0)), 1.5, 3.0) / fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * t_0), 2.0))); elseif (x <= 5.2e-23) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_1), 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64((sin(x) ^ 2.0) * t_0), 2.0) / fma(sqrt(5.0), -1.5, fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), 7.5))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -2.3e-5], N[(1.0 / N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision] / N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.2e-23], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] * -1.5 + N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + -1.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 7.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -2.3 \cdot 10^{-5}:\\
\;\;\;\;\frac{1}{\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, t\_1, 3\right) - \sqrt{5}, 1.5, 3\right)}{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot t\_0, 2\right)}}\\
\mathbf{elif}\;x \leq 5.2 \cdot 10^{-23}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin x}^{2} \cdot t\_0, 2\right)}{\mathsf{fma}\left(\sqrt{5}, -1.5, \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 1.5, -1.5\right), \cos x, 7.5\right)\right)}\\
\end{array}
\end{array}
if x < -2.3e-5Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified56.3%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6455.3
Simplified55.3%
Applied egg-rr55.3%
if -2.3e-5 < x < 5.2e-23Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.3
Simplified99.3%
if 5.2e-23 < x Initial program 98.7%
distribute-rgt-inN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
div-subN/A
metadata-evalN/A
sub-negN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr98.9%
associate-*r*N/A
distribute-rgt-outN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
Applied egg-rr99.0%
Taylor expanded in x around inf
Simplified98.9%
Taylor expanded in y around 0
Simplified63.1%
(FPCore (x y) :precision binary64 (/ (fma (fma (cos x) -0.0625 0.0625) (* (sqrt 2.0) (- 0.5 (* 0.5 (cos (+ x x))))) 2.0) (fma 3.0 (* 0.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (- 3.0 (sqrt 5.0)))) 3.0)))
double code(double x, double y) {
return fma(fma(cos(x), -0.0625, 0.0625), (sqrt(2.0) * (0.5 - (0.5 * cos((x + x))))), 2.0) / fma(3.0, (0.5 * fma(cos(x), (sqrt(5.0) + -1.0), (3.0 - sqrt(5.0)))), 3.0);
}
function code(x, y) return Float64(fma(fma(cos(x), -0.0625, 0.0625), Float64(sqrt(2.0) * Float64(0.5 - Float64(0.5 * cos(Float64(x + x))))), 2.0) / fma(3.0, Float64(0.5 * fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(3.0 - sqrt(5.0)))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(0.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), \sqrt{2} \cdot \left(0.5 - 0.5 \cdot \cos \left(x + x\right)\right), 2\right)}{\mathsf{fma}\left(3, 0.5 \cdot \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6459.2
Simplified59.2%
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f6459.2
Applied egg-rr59.2%
(FPCore (x y) :precision binary64 (* (fma (- 0.5 (* 0.5 (cos (+ x x)))) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0) (/ 1.0 (fma (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 1.5 3.0))))
double code(double x, double y) {
return fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * (1.0 / fma((fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.5, 3.0));
}
function code(x, y) return Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * Float64(1.0 / fma(Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.5, 3.0))) end
code[x_, y_] := N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * N[(1.0 / N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right) \cdot \frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 1.5, 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6459.2
Simplified59.2%
Applied egg-rr59.2%
(FPCore (x y) :precision binary64 (/ (fma (- 0.5 (* 0.5 (cos (+ x x)))) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0) (fma (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 1.5 3.0)))
double code(double x, double y) {
return fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma((fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.5, 3.0);
}
function code(x, y) return Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.5, 3.0)) end
code[x_, y_] := N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 1.5, 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6459.2
Simplified59.2%
Applied egg-rr59.2%
(FPCore (x y)
:precision binary64
(/
2.0
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return 2.0 / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 2.0d0 / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end function
public static double code(double x, double y) {
return 2.0 / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
def code(x, y): return 2.0 / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))))
function code(x, y) return Float64(2.0 / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
function tmp = code(x, y) tmp = 2.0 / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end
code[x_, y_] := N[(2.0 / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
--lowering--.f64N/A
cos-lowering-cos.f6463.2
Simplified63.2%
Taylor expanded in y around 0
Simplified45.4%
Final simplification45.4%
(FPCore (x y) :precision binary64 (/ 2.0 (fma (fma (sqrt 5.0) -0.5 1.5) (* (cos y) 3.0) (fma (cos x) (* (fma (sqrt 5.0) 0.5 -0.5) 3.0) 3.0))))
double code(double x, double y) {
return 2.0 / fma(fma(sqrt(5.0), -0.5, 1.5), (cos(y) * 3.0), fma(cos(x), (fma(sqrt(5.0), 0.5, -0.5) * 3.0), 3.0));
}
function code(x, y) return Float64(2.0 / fma(fma(sqrt(5.0), -0.5, 1.5), Float64(cos(y) * 3.0), fma(cos(x), Float64(fma(sqrt(5.0), 0.5, -0.5) * 3.0), 3.0))) end
code[x_, y_] := N[(2.0 / N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * 3.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right), \cos y \cdot 3, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right) \cdot 3, 3\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
div-subN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
distribute-rgt-inN/A
Applied egg-rr61.5%
Taylor expanded in x around 0
Simplified45.4%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 3.0 (* 0.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (- 3.0 (sqrt 5.0)))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(3.0, (0.5 * fma(cos(x), (sqrt(5.0) + -1.0), (3.0 - sqrt(5.0)))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(3.0, Float64(0.5 * fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(3.0 - sqrt(5.0)))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(3.0 * N[(0.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(3, 0.5 \cdot \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6459.2
Simplified59.2%
Taylor expanded in x around 0
Simplified43.0%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (+ -0.5 (+ 1.0 (* 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (sqrt 5.0)))))))
double code(double x, double y) {
return 0.6666666666666666 / (-0.5 + (1.0 + (0.5 * fma(cos(y), (3.0 - sqrt(5.0)), sqrt(5.0)))));
}
function code(x, y) return Float64(0.6666666666666666 / Float64(-0.5 + Float64(1.0 + Float64(0.5 * fma(cos(y), Float64(3.0 - sqrt(5.0)), sqrt(5.0)))))) end
code[x_, y_] := N[(0.6666666666666666 / N[(-0.5 + N[(1.0 + N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{-0.5 + \left(1 + 0.5 \cdot \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
sub-negN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-eval42.5
Simplified42.5%
+-commutativeN/A
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr42.5%
Final simplification42.5%
(FPCore (x y) :precision binary64 (* 0.6666666666666666 (/ 1.0 (fma 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (sqrt 5.0)) 0.5))))
double code(double x, double y) {
return 0.6666666666666666 * (1.0 / fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), sqrt(5.0)), 0.5));
}
function code(x, y) return Float64(0.6666666666666666 * Float64(1.0 / fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), sqrt(5.0)), 0.5))) end
code[x_, y_] := N[(0.6666666666666666 * N[(1.0 / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.6666666666666666 \cdot \frac{1}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5}\right), 0.5\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
sub-negN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-eval42.5
Simplified42.5%
clear-numN/A
associate-/r/N/A
*-lowering-*.f64N/A
Applied egg-rr42.5%
Final simplification42.5%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (fma 0.5 (fma (- 3.0 (sqrt 5.0)) (cos y) (+ (sqrt 5.0) -1.0)) 1.0)))
double code(double x, double y) {
return 0.6666666666666666 / fma(0.5, fma((3.0 - sqrt(5.0)), cos(y), (sqrt(5.0) + -1.0)), 1.0);
}
function code(x, y) return Float64(0.6666666666666666 / fma(0.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(sqrt(5.0) + -1.0)), 1.0)) end
code[x_, y_] := N[(0.6666666666666666 / N[(0.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \sqrt{5} + -1\right), 1\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
sub-negN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-eval42.5
Simplified42.5%
associate-+l+N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
--lowering--.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-prod-upN/A
pow1/2N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
pow1/2N/A
pow1/2N/A
pow-prod-upN/A
metadata-evalN/A
metadata-evalN/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
Applied egg-rr42.5%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (fma (fma (cos y) (- 3.0 (sqrt 5.0)) (sqrt 5.0)) 0.5 0.5)))
double code(double x, double y) {
return 0.6666666666666666 / fma(fma(cos(y), (3.0 - sqrt(5.0)), sqrt(5.0)), 0.5, 0.5);
}
function code(x, y) return Float64(0.6666666666666666 / fma(fma(cos(y), Float64(3.0 - sqrt(5.0)), sqrt(5.0)), 0.5, 0.5)) end
code[x_, y_] := N[(0.6666666666666666 / N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5 + 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5}\right), 0.5, 0.5\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
sub-negN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-eval42.5
Simplified42.5%
distribute-rgt-inN/A
metadata-evalN/A
associate-+l+N/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr42.5%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
sub-negN/A
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
metadata-eval42.5
Simplified42.5%
Taylor expanded in y around 0
Simplified40.5%
herbie shell --seed 2024199
(FPCore (x y)
:name "Diagrams.TwoD.Path.Metafont.Internal:hobbyF from diagrams-contrib-1.3.0.5"
:precision binary64
(/ (+ 2.0 (* (* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) (- (sin y) (/ (sin x) 16.0))) (- (cos x) (cos y)))) (* 3.0 (+ (+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x))) (* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))