
(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 25 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)))))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5))))))))
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 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
swap-sqr99.2%
rem-square-sqrt99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-def99.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.045) (not (<= x 9.5e-8)))
(/
(+ 2.0 (* (* t_0 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_0)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
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) {
double t_0 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.045) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((t_0 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_0) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.045) || !(x <= 9.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(t_0 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_0) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / 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 return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.045], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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] * t$95$0), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.045 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(t_0 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_0\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{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}
\end{array}
if x < -0.044999999999999998 or 9.50000000000000036e-8 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
swap-sqr98.9%
rem-square-sqrt99.2%
cancel-sign-sub-inv99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
+-commutative99.2%
*-commutative99.2%
fma-def99.2%
Simplified99.2%
Taylor expanded in y around 0 63.6%
if -0.044999999999999998 < x < 9.50000000000000036e-8Initial program 99.6%
Taylor expanded in x around 0 99.4%
associate--l+99.4%
unpow299.4%
Simplified99.4%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
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 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
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 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) / 2.0d0
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 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
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.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 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.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))))
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) / 2.0; 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 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(/
(+
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 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
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 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
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 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
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.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5)))));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 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.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5)))))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; 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 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
swap-sqr99.2%
rem-square-sqrt99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-def99.4%
Simplified99.4%
Taylor expanded in x around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.054) (not (<= x 9.5e-8)))
(/
(+ 2.0 (* (* t_1 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_1)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
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) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.054) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.054d0)) .or. (.not. (x <= 9.5d-8))) then
tmp = (2.0d0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_1) * (1.0d0 + (((-0.5d0) * (x * x)) - cos(y))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.054) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((t_1 * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - Math.cos(y))))) / (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))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.054) or not (x <= 9.5e-8): tmp = (2.0 + ((t_1 * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - math.cos(y))))) / (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)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.054) || !(x <= 9.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_1) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / 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 return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.054) || ~((x <= 9.5e-8))) tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.054], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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] * t$95$1), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.054 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(t_1 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_1\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{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}
\end{array}
if x < -0.0539999999999999994 or 9.50000000000000036e-8 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 63.6%
if -0.0539999999999999994 < x < 9.50000000000000036e-8Initial program 99.6%
Taylor expanded in x around 0 99.4%
associate--l+99.4%
unpow299.4%
Simplified99.4%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (- 1.0 (cos y))))
(if (or (<= x -0.009) (not (<= x 9.5e-8)))
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
(* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(sqrt 2.0)
(+
(* -0.0625 (* t_2 (pow (sin y) 2.0)))
(* x (* (sin y) (* t_2 1.00390625))))))
(* 3.0 (+ 1.0 (- (+ t_1 (/ (cos y) (+ 1.5 t_1))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sqrt(5.0) * 0.5;
double t_2 = 1.0 - cos(y);
double tmp;
if ((x <= -0.009) || !(x <= 9.5e-8)) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (sqrt(2.0) * ((-0.0625 * (t_2 * pow(sin(y), 2.0))) + (x * (sin(y) * (t_2 * 1.00390625)))))) / (3.0 * (1.0 + ((t_1 + (cos(y) / (1.5 + t_1))) - 0.5)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = sqrt(5.0d0) * 0.5d0
t_2 = 1.0d0 - cos(y)
if ((x <= (-0.009d0)) .or. (.not. (x <= 9.5d-8))) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (sqrt(2.0d0) * (((-0.0625d0) * (t_2 * (sin(y) ** 2.0d0))) + (x * (sin(y) * (t_2 * 1.00390625d0)))))) / (3.0d0 * (1.0d0 + ((t_1 + (cos(y) / (1.5d0 + t_1))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.sqrt(5.0) * 0.5;
double t_2 = 1.0 - Math.cos(y);
double tmp;
if ((x <= -0.009) || !(x <= 9.5e-8)) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (Math.sqrt(2.0) * ((-0.0625 * (t_2 * Math.pow(Math.sin(y), 2.0))) + (x * (Math.sin(y) * (t_2 * 1.00390625)))))) / (3.0 * (1.0 + ((t_1 + (Math.cos(y) / (1.5 + t_1))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.sqrt(5.0) * 0.5 t_2 = 1.0 - math.cos(y) tmp = 0 if (x <= -0.009) or not (x <= 9.5e-8): tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (math.sqrt(2.0) * ((-0.0625 * (t_2 * math.pow(math.sin(y), 2.0))) + (x * (math.sin(y) * (t_2 * 1.00390625)))))) / (3.0 * (1.0 + ((t_1 + (math.cos(y) / (1.5 + t_1))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(1.0 - cos(y)) tmp = 0.0 if ((x <= -0.009) || !(x <= 9.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(-0.0625 * Float64(t_2 * (sin(y) ^ 2.0))) + Float64(x * Float64(sin(y) * Float64(t_2 * 1.00390625)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_1 + Float64(cos(y) / Float64(1.5 + t_1))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sqrt(5.0) * 0.5; t_2 = 1.0 - cos(y); tmp = 0.0; if ((x <= -0.009) || ~((x <= 9.5e-8))) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (sqrt(2.0) * ((-0.0625 * (t_2 * (sin(y) ^ 2.0))) + (x * (sin(y) * (t_2 * 1.00390625)))))) / (3.0 * (1.0 + ((t_1 + (cos(y) / (1.5 + t_1))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.009], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[(t$95$2 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x * N[(N[Sin[y], $MachinePrecision] * N[(t$95$2 * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := 1 - \cos y\\
\mathbf{if}\;x \leq -0.009 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(t_2 \cdot {\sin y}^{2}\right) + x \cdot \left(\sin y \cdot \left(t_2 \cdot 1.00390625\right)\right)\right)}{3 \cdot \left(1 + \left(\left(t_1 + \frac{\cos y}{1.5 + t_1}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -0.00899999999999999932 or 9.50000000000000036e-8 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 63.6%
if -0.00899999999999999932 < x < 9.50000000000000036e-8Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 99.2%
associate-*r*99.2%
*-commutative99.2%
associate-*l*99.2%
distribute-lft-out99.2%
*-commutative99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
distribute-rgt1-in99.2%
Simplified99.2%
Final simplification81.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.009) (not (<= x 9.5e-8)))
(/
(+ 2.0 (* (* t_1 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma
(sqrt 2.0)
(* t_1 (* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+
3.0
(+
(* (cos y) (- 4.5 (* (sqrt 5.0) 1.5)))
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.009) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma(sqrt(2.0), (t_1 * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((cos(y) * (4.5 - (sqrt(5.0) * 1.5))) + (1.5 * (cos(x) * (sqrt(5.0) + -1.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.009) || !(x <= 9.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(fma(sqrt(2.0), Float64(t_1 * Float64(Float64(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - Float64(sqrt(5.0) * 1.5))) + Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.009], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.009 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(t_1 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t_1 \cdot \left(\left(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(\cos y \cdot \left(4.5 - \sqrt{5} \cdot 1.5\right) + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.00899999999999999932 or 9.50000000000000036e-8 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 63.6%
if -0.00899999999999999932 < x < 9.50000000000000036e-8Initial program 99.6%
Simplified99.6%
fma-udef99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.3%
+-commutative99.3%
*-commutative99.3%
associate-*l*99.3%
metadata-eval99.3%
distribute-rgt-neg-in99.3%
*-commutative99.3%
distribute-lft-out99.3%
distribute-lft-neg-in99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification81.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -380.0) (not (<= x 3500.0)))
(/
(+ 2.0 (* (* t_1 (* (sqrt 2.0) (sin x))) (+ (cos x) -1.0)))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+
2.0
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) (* t_1 (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -380.0) || !(x <= 3500.0)) {
tmp = (2.0 + ((t_1 * (sqrt(2.0) * sin(x))) * (cos(x) + -1.0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_1 * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-380.0d0)) .or. (.not. (x <= 3500.0d0))) then
tmp = (2.0d0 + ((t_1 * (sqrt(2.0d0) * sin(x))) * (cos(x) + (-1.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (t_1 * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) / (1.5d0 + t_0))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -380.0) || !(x <= 3500.0)) {
tmp = (2.0 + ((t_1 * (Math.sqrt(2.0) * Math.sin(x))) * (Math.cos(x) + -1.0))) / (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))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (t_1 * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -380.0) or not (x <= 3500.0): tmp = (2.0 + ((t_1 * (math.sqrt(2.0) * math.sin(x))) * (math.cos(x) + -1.0))) / (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)))) else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (t_1 * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) / (1.5 + t_0))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -380.0) || !(x <= 3500.0)) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(sqrt(2.0) * sin(x))) * Float64(cos(x) + -1.0))) / 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))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(t_1 * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -380.0) || ~((x <= 3500.0))) tmp = (2.0 + ((t_1 * (sqrt(2.0) * sin(x))) * (cos(x) + -1.0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_1 * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -380.0], N[Not[LessEqual[x, 3500.0]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $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], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -380 \lor \neg \left(x \leq 3500\right):\\
\;\;\;\;\frac{2 + \left(t_1 \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot \left(\cos x + -1\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{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(t_1 \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -380 or 3500 < x Initial program 99.0%
Taylor expanded in y around 0 61.3%
Taylor expanded in y around 0 61.0%
if -380 < x < 3500Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
swap-sqr99.5%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 98.0%
Taylor expanded in x around 0 98.0%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -380.0) (not (<= x 3500.0)))
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))
(+ (cos x) -1.0)))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (sin y) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -380.0) || !(x <= 3500.0)) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))) * (cos(x) + -1.0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-380.0d0)) .or. (.not. (x <= 3500.0d0))) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * sin(x))) * (cos(x) + (-1.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) / (1.5d0 + t_0))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -380.0) || !(x <= 3500.0)) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * Math.sin(x))) * (Math.cos(x) + -1.0))) / (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))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -380.0) or not (x <= 3500.0): tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * math.sin(x))) * (math.cos(x) + -1.0))) / (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)))) else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) / (1.5 + t_0))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -380.0) || !(x <= 3500.0)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))) * Float64(cos(x) + -1.0))) / 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))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -380.0) || ~((x <= 3500.0))) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))) * (cos(x) + -1.0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -380.0], N[Not[LessEqual[x, 3500.0]], $MachinePrecision]], 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[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $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], N[(N[(2.0 + 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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -380 \lor \neg \left(x \leq 3500\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot \left(\cos x + -1\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{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -380 or 3500 < x Initial program 99.0%
Taylor expanded in y around 0 61.3%
Taylor expanded in y around 0 61.0%
if -380 < x < 3500Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
swap-sqr99.5%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 98.0%
Taylor expanded in x around 0 97.8%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (+ (sqrt 5.0) -1.0)))
(if (<= y -0.7)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_1 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= y 0.0003)
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_1) (sqrt 5.0))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (sin y) (- 1.0 (cos y)))))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -0.7) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (y <= 0.0003) {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_1) - sqrt(5.0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -0.7) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); elseif (y <= 0.0003) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_1) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -0.7], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 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, 0.0003], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + 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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.7:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;y \leq 0.0003:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_1 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if y < -0.69999999999999996Initial program 99.1%
Taylor expanded in x around 0 62.2%
associate-*r*62.2%
*-commutative62.2%
Simplified62.2%
if -0.69999999999999996 < y < 2.99999999999999974e-4Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 98.5%
associate--l+98.5%
*-commutative98.5%
sub-neg98.5%
metadata-eval98.5%
distribute-lft-out--98.4%
Simplified98.4%
Taylor expanded in y around 0 98.4%
+-commutative98.4%
associate-*r*98.4%
distribute-rgt-out98.4%
sub-neg98.4%
metadata-eval98.4%
Simplified98.4%
if 2.99999999999999974e-4 < y Initial program 99.0%
associate-*l*99.1%
associate-+l+99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
Simplified99.1%
Taylor expanded in x around 0 58.7%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (- 1.0 (cos y))))
(if (<= y -0.7)
(/
(+ 2.0 (* (sqrt 2.0) (* -0.0625 (* t_1 (pow (sin y) 2.0)))))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(if (<= y 0.000425)
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) (+ (sqrt 5.0) -1.0)) (sqrt 5.0))))))
(/
(+ 2.0 (* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) (* (sin y) t_1)))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = 1.0 - cos(y);
double tmp;
if (y <= -0.7) {
tmp = (2.0 + (sqrt(2.0) * (-0.0625 * (t_1 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else if (y <= 0.000425) {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) - sqrt(5.0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * t_1))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(1.0 - cos(y)) tmp = 0.0 if (y <= -0.7) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64(t_1 * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); elseif (y <= 0.000425) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * t_1))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.7], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$1 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.000425], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + 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] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := 1 - \cos y\\
\mathbf{if}\;y \leq -0.7:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(t_1 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{elif}\;y \leq 0.000425:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot t_1\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if y < -0.69999999999999996Initial program 99.1%
associate-*l*99.1%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
flip--99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
swap-sqr99.0%
rem-square-sqrt99.1%
cancel-sign-sub-inv99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
+-commutative99.1%
*-commutative99.1%
fma-def99.1%
Simplified99.1%
Taylor expanded in x around 0 62.1%
associate-*r*20.9%
*-commutative20.9%
associate-*l*20.9%
Simplified62.1%
if -0.69999999999999996 < y < 4.24999999999999976e-4Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 98.5%
associate--l+98.5%
*-commutative98.5%
sub-neg98.5%
metadata-eval98.5%
distribute-lft-out--98.4%
Simplified98.4%
Taylor expanded in y around 0 98.4%
+-commutative98.4%
associate-*r*98.4%
distribute-rgt-out98.4%
sub-neg98.4%
metadata-eval98.4%
Simplified98.4%
if 4.24999999999999976e-4 < y Initial program 99.0%
associate-*l*99.1%
associate-+l+99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
swap-sqr99.0%
rem-square-sqrt99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-def99.4%
Simplified99.4%
Taylor expanded in x around 0 58.0%
Taylor expanded in x around 0 58.0%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (+ (sqrt 5.0) -1.0)))
(if (<= y -0.7)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_1 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= y 0.000105)
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_1) (sqrt 5.0))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (sin y) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -0.7) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (y <= 0.000105) {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_1) - sqrt(5.0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -0.7) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); elseif (y <= 0.000105) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_1) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -0.7], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 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, 0.000105], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + 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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.7:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;y \leq 0.000105:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_1 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if y < -0.69999999999999996Initial program 99.1%
Taylor expanded in x around 0 62.2%
associate-*r*62.2%
*-commutative62.2%
Simplified62.2%
if -0.69999999999999996 < y < 1.05e-4Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 98.5%
associate--l+98.5%
*-commutative98.5%
sub-neg98.5%
metadata-eval98.5%
distribute-lft-out--98.4%
Simplified98.4%
Taylor expanded in y around 0 98.4%
+-commutative98.4%
associate-*r*98.4%
distribute-rgt-out98.4%
sub-neg98.4%
metadata-eval98.4%
Simplified98.4%
if 1.05e-4 < y Initial program 99.0%
associate-*l*99.1%
associate-+l+99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
swap-sqr99.0%
rem-square-sqrt99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-def99.4%
Simplified99.4%
Taylor expanded in x around 0 58.0%
Taylor expanded in x around 0 58.0%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -3800000000000.0) (not (<= x 3500.0)))
(/
(+ 2.0 (* (+ (cos x) -1.0) (* (* (sqrt 2.0) -0.0625) (pow (sin x) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (sin y) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -3800000000000.0) || !(x <= 3500.0)) {
tmp = (2.0 + ((cos(x) + -1.0) * ((sqrt(2.0) * -0.0625) * pow(sin(x), 2.0)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-3800000000000.0d0)) .or. (.not. (x <= 3500.0d0))) then
tmp = (2.0d0 + ((cos(x) + (-1.0d0)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(x) ** 2.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) / (1.5d0 + t_0))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -3800000000000.0) || !(x <= 3500.0)) {
tmp = (2.0 + ((Math.cos(x) + -1.0) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(x), 2.0)))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -3800000000000.0) or not (x <= 3500.0): tmp = (2.0 + ((math.cos(x) + -1.0) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(x), 2.0)))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) / (1.5 + t_0))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -3800000000000.0) || !(x <= 3500.0)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(x) ^ 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(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -3800000000000.0) || ~((x <= 3500.0))) tmp = (2.0 + ((cos(x) + -1.0) * ((sqrt(2.0) * -0.0625) * (sin(x) ^ 2.0)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -3800000000000.0], N[Not[LessEqual[x, 3500.0]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + 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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -3800000000000 \lor \neg \left(x \leq 3500\right):\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin x}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -3.8e12 or 3500 < x Initial program 99.0%
Taylor expanded in y around 0 60.5%
associate-*r*60.5%
*-commutative60.5%
Simplified60.5%
Taylor expanded in y around 0 60.5%
flip--60.4%
metadata-eval60.4%
add-sqr-sqrt60.6%
metadata-eval60.6%
Applied egg-rr60.6%
if -3.8e12 < x < 3500Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
swap-sqr99.5%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 97.4%
Taylor expanded in x around 0 97.2%
Final simplification79.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -3800000000000.0) (not (<= x 3500.0)))
(/
(+ 2.0 (* (+ (cos x) -1.0) (* (* (sqrt 2.0) -0.0625) (pow (sin x) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (sin y) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -3800000000000.0) || !(x <= 3500.0)) {
tmp = (2.0 + ((cos(x) + -1.0) * ((sqrt(2.0) * -0.0625) * pow(sin(x), 2.0)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-3800000000000.0d0)) .or. (.not. (x <= 3500.0d0))) then
tmp = (2.0d0 + ((cos(x) + (-1.0d0)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(x) ** 2.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) / (1.5d0 + t_0))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -3800000000000.0) || !(x <= 3500.0)) {
tmp = (2.0 + ((Math.cos(x) + -1.0) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(x), 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))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -3800000000000.0) or not (x <= 3500.0): tmp = (2.0 + ((math.cos(x) + -1.0) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(x), 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)))) else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) / (1.5 + t_0))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -3800000000000.0) || !(x <= 3500.0)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(x) ^ 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))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -3800000000000.0) || ~((x <= 3500.0))) tmp = (2.0 + ((cos(x) + -1.0) * ((sqrt(2.0) * -0.0625) * (sin(x) ^ 2.0)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -3800000000000.0], N[Not[LessEqual[x, 3500.0]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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], N[(N[(2.0 + 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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -3800000000000 \lor \neg \left(x \leq 3500\right):\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin x}^{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{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -3.8e12 or 3500 < x Initial program 99.0%
Taylor expanded in y around 0 60.5%
associate-*r*60.5%
*-commutative60.5%
Simplified60.5%
Taylor expanded in y around 0 60.5%
if -3.8e12 < x < 3500Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
swap-sqr99.5%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 97.4%
Taylor expanded in x around 0 97.2%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -380.0) (not (<= x 9.5e-8)))
(/
(+ 2.0 (* (+ (cos x) -1.0) (* (* (sqrt 2.0) -0.0625) (pow (sin x) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -380.0) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((cos(x) + -1.0) * ((sqrt(2.0) * -0.0625) * pow(sin(x), 2.0)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-380.0d0)) .or. (.not. (x <= 9.5d-8))) then
tmp = (2.0d0 + ((cos(x) + (-1.0d0)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(x) ** 2.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) / (1.5d0 + t_0))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -380.0) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((Math.cos(x) + -1.0) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(x), 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))));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -380.0) or not (x <= 9.5e-8): tmp = (2.0 + ((math.cos(x) + -1.0) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(x), 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)))) else: tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) / (1.5 + t_0))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -380.0) || !(x <= 9.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(x) ^ 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))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -380.0) || ~((x <= 9.5e-8))) tmp = (2.0 + ((cos(x) + -1.0) * ((sqrt(2.0) * -0.0625) * (sin(x) ^ 2.0)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -380.0], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -380 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin x}^{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{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -380 or 9.50000000000000036e-8 < x Initial program 99.0%
Taylor expanded in y around 0 60.2%
associate-*r*60.2%
*-commutative60.2%
Simplified60.2%
Taylor expanded in y around 0 60.2%
if -380 < x < 9.50000000000000036e-8Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 98.6%
Taylor expanded in x around 0 98.2%
*-commutative98.2%
associate-*l*98.2%
Simplified98.2%
Final simplification78.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.009) (not (<= x 9.5e-8)))
(/
(+
2.0
(* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ 0.0625 (* (cos x) -0.0625))))
(* 3.0 (+ 1.0 (+ 1.5 (- (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)) t_0)))))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.009) || !(x <= 9.5e-8)) {
tmp = (2.0 + ((sqrt(2.0) * pow(sin(x), 2.0)) * (0.0625 + (cos(x) * -0.0625)))) / (3.0 * (1.0 + (1.5 + ((cos(x) * fma(0.5, sqrt(5.0), -0.5)) - t_0))));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.009) || !(x <= 9.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(0.0625 + Float64(cos(x) * -0.0625)))) / Float64(3.0 * Float64(1.0 + Float64(1.5 + Float64(Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5)) - t_0))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.009], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(1.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.009 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(0.0625 + \cos x \cdot -0.0625\right)}{3 \cdot \left(1 + \left(1.5 + \left(\cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right) - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -0.00899999999999999932 or 9.50000000000000036e-8 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 59.9%
associate--l+60.0%
fma-neg60.0%
metadata-eval60.0%
Simplified60.0%
Taylor expanded in y around 0 58.8%
*-commutative21.2%
sub-neg21.2%
metadata-eval21.2%
associate-*r*21.2%
associate-*l*21.2%
*-commutative21.2%
+-commutative21.2%
distribute-lft-in21.2%
metadata-eval21.2%
Simplified58.8%
if -0.00899999999999999932 < x < 9.50000000000000036e-8Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 98.8%
*-commutative98.8%
associate-*l*98.8%
Simplified98.8%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.009) (not (<= x 9.5e-8)))
(/
(fma (sqrt 2.0) (* (pow (sin x) 2.0) (+ 0.0625 (* (cos x) -0.0625))) 2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) (+ (sqrt 5.0) -1.0)) (sqrt 5.0))))))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.009) || !(x <= 9.5e-8)) {
tmp = fma(sqrt(2.0), (pow(sin(x), 2.0) * (0.0625 + (cos(x) * -0.0625))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) - sqrt(5.0)))));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.009) || !(x <= 9.5e-8)) tmp = Float64(fma(sqrt(2.0), Float64((sin(x) ^ 2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.009], N[Not[LessEqual[x, 9.5e-8]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.009 \lor \neg \left(x \leq 9.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin x}^{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -0.00899999999999999932 or 9.50000000000000036e-8 < x Initial program 99.0%
Simplified98.9%
Taylor expanded in y around 0 60.0%
associate--l+60.0%
*-commutative60.0%
sub-neg60.0%
metadata-eval60.0%
distribute-lft-out--59.9%
Simplified59.9%
Taylor expanded in y around 0 58.7%
*-commutative58.7%
associate-*l*58.7%
*-commutative58.7%
sub-neg58.7%
metadata-eval58.7%
distribute-lft-in58.7%
metadata-eval58.7%
Simplified58.7%
if -0.00899999999999999932 < x < 9.50000000000000036e-8Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 98.8%
*-commutative98.8%
associate-*l*98.8%
Simplified98.8%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (/ (cos y) (+ 1.5 t_0))) 0.5))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5)));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) / (1.5d0 + t_0))) - 0.5d0)))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) / (1.5 + t_0))) - 0.5)));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) / (1.5 + t_0))) - 0.5)))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) / Float64(1.5 + t_0))) - 0.5)))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) / (1.5 + t_0))) - 0.5))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \frac{\cos y}{1.5 + t_0}\right) - 0.5\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
swap-sqr99.2%
rem-square-sqrt99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-def99.4%
Simplified99.4%
Taylor expanded in x around 0 59.9%
Taylor expanded in x around 0 59.3%
*-commutative59.3%
associate-*l*59.3%
Simplified59.3%
Final simplification59.3%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (fabs (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))) 6.0))
double code(double x, double y) {
return (2.0 + fabs((-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y))))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + abs(((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y))))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + Math.abs((-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y))))))) / 6.0;
}
def code(x, y): return (2.0 + math.fabs((-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y))))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + abs(Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y))))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + abs((-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y))))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[Abs[N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left|-0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)\right|}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in x around 0 40.7%
associate-*r*40.7%
*-commutative40.7%
associate-*l*40.7%
Simplified40.7%
add-sqr-sqrt29.9%
sqrt-unprod40.9%
pow240.9%
Applied egg-rr40.9%
unpow240.9%
rem-sqrt-square40.9%
associate-*r*40.9%
*-commutative40.9%
associate-*r*40.9%
associate-*r*40.9%
*-commutative40.9%
Simplified40.9%
Final simplification40.9%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ 0.0625 (* (cos x) -0.0625)))) 6.0))
double code(double x, double y) {
return (2.0 + ((sqrt(2.0) * pow(sin(x), 2.0)) * (0.0625 + (cos(x) * -0.0625)))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (0.0625d0 + (cos(x) * (-0.0625d0))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (0.0625 + (Math.cos(x) * -0.0625)))) / 6.0;
}
def code(x, y): return (2.0 + ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (0.0625 + (math.cos(x) * -0.0625)))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(0.0625 + Float64(cos(x) * -0.0625)))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + ((sqrt(2.0) * (sin(x) ^ 2.0)) * (0.0625 + (cos(x) * -0.0625)))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(0.0625 + \cos x \cdot -0.0625\right)}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in y around 0 40.8%
*-commutative40.8%
sub-neg40.8%
metadata-eval40.8%
associate-*r*40.8%
associate-*l*40.8%
*-commutative40.8%
+-commutative40.8%
distribute-lft-in40.8%
metadata-eval40.8%
Simplified40.8%
Final simplification40.8%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(* -0.0625 (* (- 1.0 (cos y)) (- 0.5 (/ (cos (+ y y)) 2.0))))))
6.0))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * (-0.0625 * ((1.0 - cos(y)) * (0.5 - (cos((y + y)) / 2.0)))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((-0.0625d0) * ((1.0d0 - cos(y)) * (0.5d0 - (cos((y + y)) / 2.0d0)))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * (-0.0625 * ((1.0 - Math.cos(y)) * (0.5 - (Math.cos((y + y)) / 2.0)))))) / 6.0;
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * (-0.0625 * ((1.0 - math.cos(y)) * (0.5 - (math.cos((y + y)) / 2.0)))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(0.5 - Float64(cos(Float64(y + y)) / 2.0)))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((1.0 - cos(y)) * (0.5 - (cos((y + y)) / 2.0)))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(y + y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(0.5 - \frac{\cos \left(y + y\right)}{2}\right)\right)\right)}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in x around 0 40.7%
associate-*r*40.7%
*-commutative40.7%
associate-*l*40.7%
Simplified40.7%
unpow240.7%
sin-mult40.7%
Applied egg-rr40.7%
div-sub40.7%
+-inverses40.7%
cos-040.7%
metadata-eval40.7%
Simplified40.7%
Final simplification40.7%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(* -0.0625 (+ (* -0.20833333333333334 (pow y 6.0)) (* 0.5 (pow y 4.0))))))
6.0))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * (-0.0625 * ((-0.20833333333333334 * pow(y, 6.0)) + (0.5 * pow(y, 4.0)))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((-0.0625d0) * (((-0.20833333333333334d0) * (y ** 6.0d0)) + (0.5d0 * (y ** 4.0d0)))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * (-0.0625 * ((-0.20833333333333334 * Math.pow(y, 6.0)) + (0.5 * Math.pow(y, 4.0)))))) / 6.0;
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * (-0.0625 * ((-0.20833333333333334 * math.pow(y, 6.0)) + (0.5 * math.pow(y, 4.0)))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64(Float64(-0.20833333333333334 * (y ^ 6.0)) + Float64(0.5 * (y ^ 4.0)))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((-0.20833333333333334 * (y ^ 6.0)) + (0.5 * (y ^ 4.0)))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(-0.20833333333333334 * N[Power[y, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(-0.20833333333333334 \cdot {y}^{6} + 0.5 \cdot {y}^{4}\right)\right)}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in x around 0 40.7%
associate-*r*40.7%
*-commutative40.7%
associate-*l*40.7%
Simplified40.7%
Taylor expanded in y around 0 30.8%
Final simplification30.8%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* (sqrt 2.0) (* -0.0625 (* (pow (sin y) 2.0) (* 0.5 (* y y)))))) 6.0))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * (-0.0625 * (pow(sin(y), 2.0) * (0.5 * (y * y)))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((-0.0625d0) * ((sin(y) ** 2.0d0) * (0.5d0 * (y * y)))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (0.5 * (y * y)))))) / 6.0;
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * (-0.0625 * (math.pow(math.sin(y), 2.0) * (0.5 * (y * y)))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(0.5 * Float64(y * y)))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((sin(y) ^ 2.0) * (0.5 * (y * y)))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.5 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left({\sin y}^{2} \cdot \left(0.5 \cdot \left(y \cdot y\right)\right)\right)\right)}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in x around 0 40.7%
associate-*r*40.7%
*-commutative40.7%
associate-*l*40.7%
Simplified40.7%
Taylor expanded in y around 0 30.6%
*-commutative30.6%
unpow230.6%
Simplified30.6%
Final simplification30.6%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (* y y))))) 6.0))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * (-0.0625 * ((1.0 - cos(y)) * (y * y))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((-0.0625d0) * ((1.0d0 - cos(y)) * (y * y))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * (-0.0625 * ((1.0 - Math.cos(y)) * (y * y))))) / 6.0;
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * (-0.0625 * ((1.0 - math.cos(y)) * (y * y))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(y * y))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((1.0 - cos(y)) * (y * y))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(y \cdot y\right)\right)\right)}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in x around 0 40.7%
associate-*r*40.7%
*-commutative40.7%
associate-*l*40.7%
Simplified40.7%
Taylor expanded in y around 0 30.6%
unpow230.6%
Simplified30.6%
Final simplification30.6%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* (pow y 4.0) (* (sqrt 2.0) -0.03125))) 6.0))
double code(double x, double y) {
return (2.0 + (pow(y, 4.0) * (sqrt(2.0) * -0.03125))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((y ** 4.0d0) * (sqrt(2.0d0) * (-0.03125d0)))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (Math.pow(y, 4.0) * (Math.sqrt(2.0) * -0.03125))) / 6.0;
}
def code(x, y): return (2.0 + (math.pow(y, 4.0) * (math.sqrt(2.0) * -0.03125))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64((y ^ 4.0) * Float64(sqrt(2.0) * -0.03125))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + ((y ^ 4.0) * (sqrt(2.0) * -0.03125))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[Power[y, 4.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.03125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + {y}^{4} \cdot \left(\sqrt{2} \cdot -0.03125\right)}{6}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 60.6%
associate--l+60.6%
fma-neg60.6%
metadata-eval60.6%
Simplified60.6%
Taylor expanded in x around 0 40.7%
Taylor expanded in x around 0 40.7%
associate-*r*40.7%
*-commutative40.7%
associate-*l*40.7%
Simplified40.7%
Taylor expanded in y around 0 30.5%
*-commutative30.5%
*-commutative30.5%
associate-*l*30.5%
Simplified30.5%
Final simplification30.5%
herbie shell --seed 2023185
(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))))))