
(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 27 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) (expm1 (log1p (- 1.5 (* (sqrt 5.0) 0.5))))))))))
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) * expm1(log1p((1.5 - (sqrt(5.0) * 0.5))))))));
}
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.cos(x) * ((Math.sqrt(5.0) / 2.0) - 0.5)) + (Math.cos(y) * Math.expm1(Math.log1p((1.5 - (Math.sqrt(5.0) * 0.5))))))));
}
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.cos(x) * ((math.sqrt(5.0) / 2.0) - 0.5)) + (math.cos(y) * math.expm1(math.log1p((1.5 - (math.sqrt(5.0) * 0.5))))))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(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(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * expm1(log1p(Float64(1.5 - Float64(sqrt(5.0) * 0.5))))))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $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[(Exp[N[Log[1 + N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \mathsf{expm1}\left(\mathsf{log1p}\left(1.5 - \sqrt{5} \cdot 0.5\right)\right)\right)\right)}
\end{array}
Initial program 99.2%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
expm1-log1p-u99.4%
div-inv99.4%
metadata-eval99.4%
Applied egg-rr99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))
double code(double x, double y) {
return (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0)))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0)))))) / (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))));
}
def code(x, y): return (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0)))))) / (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))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / 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))))) end
function tmp = code(x, y) tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $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[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\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)}
\end{array}
Initial program 99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Final simplification99.4%
(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(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(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[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $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(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(\cos x - \cos y\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 99.2%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(* (- (sin x) (* (sin y) 0.0625)) (- (sin y) (* (sin x) 0.0625))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625d0)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * ((Math.sin(x) - (Math.sin(y) * 0.0625)) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * ((math.sin(x) - (math.sin(y) * 0.0625)) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) - Float64(sin(y) * 0.0625)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $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}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\left(\sin x - \sin y \cdot 0.0625\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\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}
Initial program 99.2%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* (sin y) -0.0625))
(* (- (cos x) (cos y)) (- (sin y) (* (sin x) 0.0625))))))
(+
1.0
(+
(* 2.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (- (* (sqrt 5.0) 0.5) 0.5)))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625)))))) / (1.0 + ((2.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * ((sqrt(5.0) * 0.5) - 0.5)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + (sqrt(2.0d0) * ((sin(x) + (sin(y) * (-0.0625d0))) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (1.0d0 + ((2.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * ((sqrt(5.0d0) * 0.5d0) - 0.5d0)))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (Math.sin(y) * -0.0625)) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (1.0 + ((2.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * ((Math.sqrt(5.0) * 0.5) - 0.5)))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (math.sqrt(2.0) * ((math.sin(x) + (math.sin(y) * -0.0625)) * ((math.cos(x) - math.cos(y)) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (1.0 + ((2.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * ((math.sqrt(5.0) * 0.5) - 0.5)))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(1.0 + Float64(Float64(2.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(Float64(sqrt(5.0) * 0.5) - 0.5)))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625)))))) / (1.0 + ((2.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * ((sqrt(5.0) * 0.5) - 0.5))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(2.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + \sqrt{2} \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{1 + \left(2 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} \cdot 0.5 - 0.5\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.3%
+-commutative99.4%
Simplified99.3%
Taylor expanded in y around inf 99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.0055) (not (<= x 0.00165)))
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))
(+ (cos x) -1.0)))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* (sin y) (+ (* (sin y) -0.0625) (* x 1.00390625))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.0055) || !(x <= 0.00165)) {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (cos(x) + -1.0))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * ((sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (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) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((x <= (-0.0055d0)) .or. (.not. (x <= 0.00165d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * ((sin(x) - (sin(y) / 16.0d0)) * (sin(y) - (sin(x) / 16.0d0)))) * (cos(x) + (-1.0d0)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * (sin(y) * ((sin(y) * (-0.0625d0)) + (x * 1.00390625d0)))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (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 tmp;
if ((x <= -0.0055) || !(x <= 0.00165)) {
tmp = (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) + -1.0))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * (Math.sin(y) * ((Math.sin(y) * -0.0625) + (x * 1.00390625)))))) / (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))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -0.0055) or not (x <= 0.00165): tmp = (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) + -1.0))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.sqrt(2.0) * (math.sin(y) * ((math.sin(y) * -0.0625) + (x * 1.00390625)))))) / (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)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.0055) || !(x <= 0.00165)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) * Float64(cos(x) + -1.0))) / 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(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(sin(y) * Float64(Float64(sin(y) * -0.0625) + Float64(x * 1.00390625)))))) / 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))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -0.0055) || ~((x <= 0.00165))) tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (cos(x) + -1.0))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * ((sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (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]}, If[Or[LessEqual[x, -0.0055], N[Not[LessEqual[x, 0.00165]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $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[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision] + N[(x * 1.00390625), $MachinePrecision]), $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[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.0055 \lor \neg \left(x \leq 0.00165\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(\cos x + -1\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(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(\sin y \cdot -0.0625 + x \cdot 1.00390625\right)\right)\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)}\\
\end{array}
\end{array}
if x < -0.0054999999999999997 or 0.00165 < x Initial program 98.9%
associate-*l*99.0%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.0%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 61.3%
if -0.0054999999999999997 < x < 0.00165Initial program 99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 99.3%
associate-*r*99.3%
*-commutative99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
unpow299.3%
associate-*r*99.3%
distribute-rgt1-in99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -0.0058) (not (<= y 0.0019)))
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))
(- 1.0 (cos y))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* (sin x) (+ (* y 1.00390625) (* (sin x) -0.0625))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -0.0058) || !(y <= 0.0019)) {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(x) * ((y * 1.00390625) + (sin(x) * -0.0625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (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) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((y <= (-0.0058d0)) .or. (.not. (y <= 0.0019d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * ((sin(x) - (sin(y) / 16.0d0)) * (sin(y) - (sin(x) / 16.0d0)))) * (1.0d0 - cos(y)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * (sin(x) * ((y * 1.00390625d0) + (sin(x) * (-0.0625d0))))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (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 tmp;
if ((y <= -0.0058) || !(y <= 0.0019)) {
tmp = (2.0 + ((Math.sqrt(2.0) * ((Math.sin(x) - (Math.sin(y) / 16.0)) * (Math.sin(y) - (Math.sin(x) / 16.0)))) * (1.0 - Math.cos(y)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * (Math.sin(x) * ((y * 1.00390625) + (Math.sin(x) * -0.0625)))))) / (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))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (y <= -0.0058) or not (y <= 0.0019): tmp = (2.0 + ((math.sqrt(2.0) * ((math.sin(x) - (math.sin(y) / 16.0)) * (math.sin(y) - (math.sin(x) / 16.0)))) * (1.0 - math.cos(y)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.sqrt(2.0) * (math.sin(x) * ((y * 1.00390625) + (math.sin(x) * -0.0625)))))) / (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)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -0.0058) || !(y <= 0.0019)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) * 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)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(sin(x) * Float64(Float64(y * 1.00390625) + Float64(sin(x) * -0.0625)))))) / 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))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((y <= -0.0058) || ~((y <= 0.0019))) tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(x) * ((y * 1.00390625) + (sin(x) * -0.0625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (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]}, If[Or[LessEqual[y, -0.0058], N[Not[LessEqual[y, 0.0019]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $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[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[(y * 1.00390625), $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $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[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -0.0058 \lor \neg \left(y \leq 0.0019\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(1 - \cos y\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(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\sin x \cdot \left(y \cdot 1.00390625 + \sin x \cdot -0.0625\right)\right)\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)}\\
\end{array}
\end{array}
if y < -0.0058 or 0.0019 < y Initial program 99.1%
associate-*l*99.1%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 62.6%
if -0.0058 < y < 0.0019Initial program 99.4%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.5%
metadata-eval99.5%
metadata-eval99.5%
metadata-eval99.5%
Applied egg-rr99.5%
+-commutative99.5%
Simplified99.5%
Taylor expanded in y around 0 99.4%
associate-*r*99.4%
*-commutative99.4%
associate-*r*99.4%
distribute-rgt-out99.4%
+-commutative99.4%
distribute-rgt1-in99.4%
associate-*r*99.4%
unpow299.4%
associate-*r*99.4%
metadata-eval99.4%
distribute-lft-neg-in99.4%
*-commutative99.4%
distribute-rgt-out99.4%
Simplified99.4%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin x) (/ (sin y) 16.0)))
(t_1 (+ (cos x) -1.0))
(t_2 (/ (sqrt 5.0) 2.0))
(t_3 (- (sin y) (/ (sin x) 16.0)))
(t_4 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))
(if (<= x -0.0042)
(/
(+ 2.0 (* (* t_3 (* (sqrt 2.0) t_0)) t_1))
(* 3.0 (+ t_4 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= x 0.00165)
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* (sin y) (+ (* (sin y) -0.0625) (* x 1.00390625))))))
(* 3.0 (+ t_4 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(+ 2.0 (* (* (sqrt 2.0) (* t_0 t_3)) t_1))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))))))
double code(double x, double y) {
double t_0 = sin(x) - (sin(y) / 16.0);
double t_1 = cos(x) + -1.0;
double t_2 = sqrt(5.0) / 2.0;
double t_3 = sin(y) - (sin(x) / 16.0);
double t_4 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double tmp;
if (x <= -0.0042) {
tmp = (2.0 + ((t_3 * (sqrt(2.0) * t_0)) * t_1)) / (3.0 * (t_4 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (x <= 0.00165) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * ((sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * (t_4 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (t_0 * t_3)) * t_1)) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
}
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) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = sin(x) - (sin(y) / 16.0d0)
t_1 = cos(x) + (-1.0d0)
t_2 = sqrt(5.0d0) / 2.0d0
t_3 = sin(y) - (sin(x) / 16.0d0)
t_4 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
if (x <= (-0.0042d0)) then
tmp = (2.0d0 + ((t_3 * (sqrt(2.0d0) * t_0)) * t_1)) / (3.0d0 * (t_4 + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else if (x <= 0.00165d0) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * (sin(y) * ((sin(y) * (-0.0625d0)) + (x * 1.00390625d0)))))) / (3.0d0 * (t_4 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (t_0 * t_3)) * t_1)) / (3.0d0 * (1.0d0 + ((cos(x) * (t_2 - 0.5d0)) + (cos(y) * (1.5d0 - t_2)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(x) - (Math.sin(y) / 16.0);
double t_1 = Math.cos(x) + -1.0;
double t_2 = Math.sqrt(5.0) / 2.0;
double t_3 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_4 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double tmp;
if (x <= -0.0042) {
tmp = (2.0 + ((t_3 * (Math.sqrt(2.0) * t_0)) * t_1)) / (3.0 * (t_4 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else if (x <= 0.00165) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * (Math.sin(y) * ((Math.sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * (t_4 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (t_0 * t_3)) * t_1)) / (3.0 * (1.0 + ((Math.cos(x) * (t_2 - 0.5)) + (Math.cos(y) * (1.5 - t_2)))));
}
return tmp;
}
def code(x, y): t_0 = math.sin(x) - (math.sin(y) / 16.0) t_1 = math.cos(x) + -1.0 t_2 = math.sqrt(5.0) / 2.0 t_3 = math.sin(y) - (math.sin(x) / 16.0) t_4 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) tmp = 0 if x <= -0.0042: tmp = (2.0 + ((t_3 * (math.sqrt(2.0) * t_0)) * t_1)) / (3.0 * (t_4 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) elif x <= 0.00165: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.sqrt(2.0) * (math.sin(y) * ((math.sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * (t_4 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) else: tmp = (2.0 + ((math.sqrt(2.0) * (t_0 * t_3)) * t_1)) / (3.0 * (1.0 + ((math.cos(x) * (t_2 - 0.5)) + (math.cos(y) * (1.5 - t_2))))) return tmp
function code(x, y) t_0 = Float64(sin(x) - Float64(sin(y) / 16.0)) t_1 = Float64(cos(x) + -1.0) t_2 = Float64(sqrt(5.0) / 2.0) t_3 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_4 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) tmp = 0.0 if (x <= -0.0042) tmp = Float64(Float64(2.0 + Float64(Float64(t_3 * Float64(sqrt(2.0) * t_0)) * t_1)) / Float64(3.0 * Float64(t_4 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); elseif (x <= 0.00165) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(sin(y) * Float64(Float64(sin(y) * -0.0625) + Float64(x * 1.00390625)))))) / Float64(3.0 * Float64(t_4 + 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(t_0 * t_3)) * t_1)) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_2 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_2)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(x) - (sin(y) / 16.0); t_1 = cos(x) + -1.0; t_2 = sqrt(5.0) / 2.0; t_3 = sin(y) - (sin(x) / 16.0); t_4 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); tmp = 0.0; if (x <= -0.0042) tmp = (2.0 + ((t_3 * (sqrt(2.0) * t_0)) * t_1)) / (3.0 * (t_4 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); elseif (x <= 0.00165) tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * ((sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * (t_4 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); else tmp = (2.0 + ((sqrt(2.0) * (t_0 * t_3)) * t_1)) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0042], N[(N[(2.0 + N[(N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$4 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00165], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision] + N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$4 + 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[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin x - \frac{\sin y}{16}\\
t_1 := \cos x + -1\\
t_2 := \frac{\sqrt{5}}{2}\\
t_3 := \sin y - \frac{\sin x}{16}\\
t_4 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
\mathbf{if}\;x \leq -0.0042:\\
\;\;\;\;\frac{2 + \left(t\_3 \cdot \left(\sqrt{2} \cdot t\_0\right)\right) \cdot t\_1}{3 \cdot \left(t\_4 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;x \leq 0.00165:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(\sin y \cdot -0.0625 + x \cdot 1.00390625\right)\right)\right)}{3 \cdot \left(t\_4 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(t\_0 \cdot t\_3\right)\right) \cdot t\_1}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_2 - 0.5\right) + \cos y \cdot \left(1.5 - t\_2\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.00419999999999999974Initial program 98.9%
Taylor expanded in y around 0 56.0%
if -0.00419999999999999974 < x < 0.00165Initial program 99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 99.3%
associate-*r*99.3%
*-commutative99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
unpow299.3%
associate-*r*99.3%
distribute-rgt1-in99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
metadata-eval99.3%
Simplified99.3%
if 0.00165 < x Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.9%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 65.5%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (sin y) -0.0625))
(t_2 (/ (sqrt 5.0) 2.0))
(t_3 (- (cos x) (cos y))))
(if (<= x -0.026)
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* (sin x) -0.0625)) (* (+ (sin x) t_1) (+ (cos x) -1.0)))
2.0)
(+ 3.0 (* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) t_0)))))
(if (<= x 0.00165)
(/
(+ 2.0 (* t_3 (* (sqrt 2.0) (* (sin y) (+ t_1 (* x 1.00390625))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(+ 2.0 (* t_3 (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sin(y) * -0.0625;
double t_2 = sqrt(5.0) / 2.0;
double t_3 = cos(x) - cos(y);
double tmp;
if (x <= -0.026) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + t_1) * (cos(x) + -1.0))), 2.0) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * t_0))));
} else if (x <= 0.00165) {
tmp = (2.0 + (t_3 * (sqrt(2.0) * (sin(y) * (t_1 + (x * 1.00390625)))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + (t_3 * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sin(y) * -0.0625) t_2 = Float64(sqrt(5.0) / 2.0) t_3 = Float64(cos(x) - cos(y)) tmp = 0.0 if (x <= -0.026) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + t_1) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * t_0))))); elseif (x <= 0.00165) tmp = Float64(Float64(2.0 + Float64(t_3 * Float64(sqrt(2.0) * Float64(sin(y) * Float64(t_1 + Float64(x * 1.00390625)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_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(t_3 * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_2 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_2)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.026], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + t$95$1), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00165], N[(N[(2.0 + N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(t$95$1 + N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 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[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \sin y \cdot -0.0625\\
t_2 := \frac{\sqrt{5}}{2}\\
t_3 := \cos x - \cos y\\
\mathbf{if}\;x \leq -0.026:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + t\_1\right) \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot t\_0\right)}\\
\mathbf{elif}\;x \leq 0.00165:\\
\;\;\;\;\frac{2 + t\_3 \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(t\_1 + x \cdot 1.00390625\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_3 \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_2 - 0.5\right) + \cos y \cdot \left(1.5 - t\_2\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0259999999999999988Initial program 98.9%
Simplified99.0%
Taylor expanded in y around 0 55.0%
distribute-lft-out55.0%
sub-neg55.0%
metadata-eval55.0%
Simplified55.0%
Taylor expanded in y around 0 55.1%
if -0.0259999999999999988 < x < 0.00165Initial program 99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 99.3%
associate-*r*99.3%
*-commutative99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
unpow299.3%
associate-*r*99.3%
distribute-rgt1-in99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
metadata-eval99.3%
Simplified99.3%
if 0.00165 < x Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.9%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 65.3%
*-commutative65.3%
*-commutative65.3%
associate-*l*65.3%
Simplified65.3%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_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)))))
(t_1 (- (cos x) (cos y))))
(if (or (<= y -0.0126) (not (<= y 0.0019)))
(/ (+ 2.0 (* t_1 (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0))))) t_0)
(/
(+
2.0
(*
t_1
(* (sqrt 2.0) (* (sin x) (+ (* y 1.00390625) (* (sin x) -0.0625))))))
t_0))))
double code(double x, double y) {
double t_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)));
double t_1 = cos(x) - cos(y);
double tmp;
if ((y <= -0.0126) || !(y <= 0.0019)) {
tmp = (2.0 + (t_1 * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_0;
} else {
tmp = (2.0 + (t_1 * (sqrt(2.0) * (sin(x) * ((y * 1.00390625) + (sin(x) * -0.0625)))))) / t_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 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)))
t_1 = cos(x) - cos(y)
if ((y <= (-0.0126d0)) .or. (.not. (y <= 0.0019d0))) then
tmp = (2.0d0 + (t_1 * ((-0.0625d0) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / t_0
else
tmp = (2.0d0 + (t_1 * (sqrt(2.0d0) * (sin(x) * ((y * 1.00390625d0) + (sin(x) * (-0.0625d0))))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_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)));
double t_1 = Math.cos(x) - Math.cos(y);
double tmp;
if ((y <= -0.0126) || !(y <= 0.0019)) {
tmp = (2.0 + (t_1 * (-0.0625 * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / t_0;
} else {
tmp = (2.0 + (t_1 * (Math.sqrt(2.0) * (Math.sin(x) * ((y * 1.00390625) + (Math.sin(x) * -0.0625)))))) / t_0;
}
return tmp;
}
def code(x, y): t_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))) t_1 = math.cos(x) - math.cos(y) tmp = 0 if (y <= -0.0126) or not (y <= 0.0019): tmp = (2.0 + (t_1 * (-0.0625 * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / t_0 else: tmp = (2.0 + (t_1 * (math.sqrt(2.0) * (math.sin(x) * ((y * 1.00390625) + (math.sin(x) * -0.0625)))))) / t_0 return tmp
function code(x, y) t_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)))) t_1 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((y <= -0.0126) || !(y <= 0.0019)) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(-0.0625 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * Float64(sin(x) * Float64(Float64(y * 1.00390625) + Float64(sin(x) * -0.0625)))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_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))); t_1 = cos(x) - cos(y); tmp = 0.0; if ((y <= -0.0126) || ~((y <= 0.0019))) tmp = (2.0 + (t_1 * (-0.0625 * (sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0; else tmp = (2.0 + (t_1 * (sqrt(2.0) * (sin(x) * ((y * 1.00390625) + (sin(x) * -0.0625)))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -0.0126], N[Not[LessEqual[y, 0.0019]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$1 * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[(y * 1.00390625), $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 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)\\
t_1 := \cos x - \cos y\\
\mathbf{if}\;y \leq -0.0126 \lor \neg \left(y \leq 0.0019\right):\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sqrt{2} \cdot \left(\sin x \cdot \left(y \cdot 1.00390625 + \sin x \cdot -0.0625\right)\right)\right)}{t\_0}\\
\end{array}
\end{array}
if y < -0.0126 or 0.0019 < y Initial program 99.1%
flip--98.9%
metadata-eval98.9%
pow1/298.9%
pow1/298.9%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around 0 62.0%
if -0.0126 < y < 0.0019Initial program 99.4%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.5%
metadata-eval99.5%
metadata-eval99.5%
metadata-eval99.5%
Applied egg-rr99.5%
+-commutative99.5%
Simplified99.5%
Taylor expanded in y around 0 99.4%
associate-*r*99.4%
*-commutative99.4%
associate-*r*99.4%
distribute-rgt-out99.4%
+-commutative99.4%
distribute-rgt1-in99.4%
associate-*r*99.4%
unpow299.4%
associate-*r*99.4%
metadata-eval99.4%
distribute-lft-neg-in99.4%
*-commutative99.4%
distribute-rgt-out99.4%
Simplified99.4%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (- (cos x) (cos y)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.008)
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* (sin x) -0.0625)) (* (sin x) (+ (cos x) -1.0)))
2.0)
(+ 3.0 (* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) t_2)))))
(if (<= x 0.00165)
(/
(+
2.0
(*
t_1
(* (sqrt 2.0) (* (sin y) (+ (* (sin y) -0.0625) (* x 1.00390625))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_2 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(+ 2.0 (* t_1 (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(*
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 = cos(x) - cos(y);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.008) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * (sin(x) * (cos(x) + -1.0))), 2.0) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * t_2))));
} else if (x <= 0.00165) {
tmp = (2.0 + (t_1 * (sqrt(2.0) * (sin(y) * ((sin(y) * -0.0625) + (x * 1.00390625)))))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + (t_1 * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (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(cos(x) - cos(y)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.008) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(sin(x) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * t_2))))); elseif (x <= 0.00165) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * Float64(sin(y) * Float64(Float64(sin(y) * -0.0625) + Float64(x * 1.00390625)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / 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[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.008], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00165], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision] + N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(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[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $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 := \cos x - \cos y\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.008:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot t\_2\right)}\\
\mathbf{elif}\;x \leq 0.00165:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(\sin y \cdot -0.0625 + x \cdot 1.00390625\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_2}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\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 x < -0.0080000000000000002Initial program 98.9%
Simplified99.0%
Taylor expanded in y around 0 55.0%
distribute-lft-out55.0%
sub-neg55.0%
metadata-eval55.0%
Simplified55.0%
Taylor expanded in y around 0 54.6%
if -0.0080000000000000002 < x < 0.00165Initial program 99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 99.3%
associate-*r*99.3%
*-commutative99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
unpow299.3%
associate-*r*99.3%
distribute-rgt1-in99.3%
associate-*r*99.3%
distribute-rgt-out99.3%
metadata-eval99.3%
Simplified99.3%
if 0.00165 < x Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.9%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 65.3%
*-commutative65.3%
*-commutative65.3%
associate-*l*65.3%
Simplified65.3%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -0.00033) (not (<= y 8.5e-5)))
(/
(+
2.0
(* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -0.00033) || !(y <= 8.5e-5)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * t_0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -0.00033) || !(y <= 8.5e-5)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * t_0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -0.00033], N[Not[LessEqual[y, 8.5e-5]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $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[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.00033 \lor \neg \left(y \leq 8.5 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot t\_0\right)}\\
\end{array}
\end{array}
if y < -3.3e-4 or 8.500000000000001e-5 < y Initial program 99.1%
flip--98.9%
metadata-eval98.9%
pow1/298.9%
pow1/298.9%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around 0 62.0%
if -3.3e-4 < y < 8.500000000000001e-5Initial program 99.4%
Simplified99.5%
Taylor expanded in y around 0 99.4%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in y around 0 99.4%
associate-*r*99.4%
distribute-rgt-out99.4%
sub-neg99.4%
metadata-eval99.4%
*-commutative99.4%
Simplified99.4%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -2.6e-5) (not (<= y 0.000122)))
(/
(+
2.0
(* (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+
3.0
(* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -2.6e-5) || !(y <= 0.000122)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -2.6e-5) || !(y <= 0.000122)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(y) ^ 2.0))))) / 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(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + 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]}, If[Or[LessEqual[y, -2.6e-5], N[Not[LessEqual[y, 0.000122]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * 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[(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[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $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[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 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}\\
\mathbf{if}\;y \leq -2.6 \cdot 10^{-5} \lor \neg \left(y \leq 0.000122\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin y}^{2}\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)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if y < -2.59999999999999984e-5 or 1.21999999999999997e-4 < y Initial program 99.1%
associate-*l*99.1%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 61.9%
associate-*r*61.9%
Simplified61.9%
if -2.59999999999999984e-5 < y < 1.21999999999999997e-4Initial program 99.4%
Simplified99.5%
Taylor expanded in y around 0 99.4%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in y around 0 99.4%
associate-*r*99.4%
distribute-rgt-out99.4%
sub-neg99.4%
metadata-eval99.4%
*-commutative99.4%
Simplified99.4%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -0.001) (not (<= y 0.00018)))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -0.001) || !(y <= 0.00018)) {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * t_0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -0.001) || !(y <= 0.00018)) 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(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * t_0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -0.001], N[Not[LessEqual[y, 0.00018]], $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[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $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[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.001 \lor \neg \left(y \leq 0.00018\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot t\_0\right)}\\
\end{array}
\end{array}
if y < -1e-3 or 1.80000000000000011e-4 < y Initial program 99.1%
Taylor expanded in x around 0 61.7%
*-commutative61.7%
*-commutative61.7%
associate-*l*61.7%
Simplified61.7%
flip--98.9%
metadata-eval98.9%
pow1/298.9%
pow1/298.9%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr61.8%
+-commutative99.3%
Simplified61.8%
if -1e-3 < y < 1.80000000000000011e-4Initial program 99.4%
Simplified99.5%
Taylor expanded in y around 0 99.4%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in y around 0 99.4%
associate-*r*99.4%
distribute-rgt-out99.4%
sub-neg99.4%
metadata-eval99.4%
*-commutative99.4%
Simplified99.4%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))
(if (<= x -0.0034)
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* (sin x) -0.0625)) (* (sin x) (+ (cos x) -1.0)))
2.0)
(+ 3.0 (* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) t_0)))))
(if (<= x 0.00082)
(/
(+
2.0
(* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
t_1)
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
t_1)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)));
double tmp;
if (x <= -0.0034) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * (sin(x) * (cos(x) + -1.0))), 2.0) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * t_0))));
} else if (x <= 0.00082) {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_1;
} else {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)))) tmp = 0.0 if (x <= -0.0034) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(sin(x) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * t_0))))); elseif (x <= 0.00082) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / t_1); else tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 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]}, If[LessEqual[x, -0.0034], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00082], 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] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)\\
\mathbf{if}\;x \leq -0.0034:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot t\_0\right)}\\
\mathbf{elif}\;x \leq 0.00082:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{t\_1}\\
\end{array}
\end{array}
if x < -0.00339999999999999981Initial program 98.9%
Simplified99.0%
Taylor expanded in y around 0 55.0%
distribute-lft-out55.0%
sub-neg55.0%
metadata-eval55.0%
Simplified55.0%
Taylor expanded in y around 0 54.6%
if -0.00339999999999999981 < x < 8.1999999999999998e-4Initial program 99.6%
Taylor expanded in x around 0 98.6%
*-commutative98.6%
*-commutative98.6%
associate-*l*98.6%
Simplified98.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr98.7%
+-commutative99.6%
Simplified98.7%
if 8.1999999999999998e-4 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 65.3%
*-commutative65.3%
associate-*l*65.3%
associate-*r*65.3%
*-commutative65.3%
sub-neg65.3%
metadata-eval65.3%
distribute-rgt-in65.3%
metadata-eval65.3%
Simplified65.3%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_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))))))
(if (or (<= x -0.0031) (not (<= x 0.00125)))
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
t_0)
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
t_0))))
double code(double x, double y) {
double t_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)));
double tmp;
if ((x <= -0.0031) || !(x <= 0.00125)) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_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) :: tmp
t_0 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)))
if ((x <= (-0.0031d0)) .or. (.not. (x <= 0.00125d0))) then
tmp = (2.0d0 + ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (0.0625d0 + (cos(x) * (-0.0625d0)))))) / t_0
else
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_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)));
double tmp;
if ((x <= -0.0031) || !(x <= 0.00125)) {
tmp = (2.0 + (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (0.0625 + (Math.cos(x) * -0.0625))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / t_0;
}
return tmp;
}
def code(x, y): t_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))) tmp = 0 if (x <= -0.0031) or not (x <= 0.00125): tmp = (2.0 + (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (0.0625 + (math.cos(x) * -0.0625))))) / t_0 else: tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / t_0 return tmp
function code(x, y) t_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)))) tmp = 0.0 if ((x <= -0.0031) || !(x <= 0.00125)) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / 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))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_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))); tmp = 0.0; if ((x <= -0.0031) || ~((x <= 0.00125))) tmp = (2.0 + ((sin(x) ^ 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / t_0; else tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0031], N[Not[LessEqual[x, 0.00125]], $MachinePrecision]], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $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] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 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{if}\;x \leq -0.0031 \lor \neg \left(x \leq 0.00125\right):\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.00309999999999999989 or 0.00125000000000000003 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 60.3%
*-commutative60.3%
associate-*l*60.3%
associate-*r*60.3%
*-commutative60.3%
sub-neg60.3%
metadata-eval60.3%
distribute-rgt-in60.3%
metadata-eval60.3%
Simplified60.3%
if -0.00309999999999999989 < x < 0.00125000000000000003Initial program 99.6%
Taylor expanded in x around 0 98.6%
*-commutative98.6%
*-commutative98.6%
associate-*l*98.6%
Simplified98.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr98.7%
+-commutative99.6%
Simplified98.7%
Final simplification79.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))
(if (or (<= x -0.0031) (not (<= x 0.00075)))
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
(* 3.0 (+ t_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 (+ t_0 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))))
double code(double x, double y) {
double t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double tmp;
if ((x <= -0.0031) || !(x <= 0.00075)) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / (3.0 * (t_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 * (t_0 + (cos(y) * ((4.0 / (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) :: tmp
t_0 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
if ((x <= (-0.0031d0)) .or. (.not. (x <= 0.00075d0))) then
tmp = (2.0d0 + ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (0.0625d0 + (cos(x) * (-0.0625d0)))))) / (3.0d0 * (t_0 + (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 * (t_0 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double tmp;
if ((x <= -0.0031) || !(x <= 0.00075)) {
tmp = (2.0 + (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (0.0625 + (Math.cos(x) * -0.0625))))) / (3.0 * (t_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 * (t_0 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) tmp = 0 if (x <= -0.0031) or not (x <= 0.00075): tmp = (2.0 + (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (0.0625 + (math.cos(x) * -0.0625))))) / (3.0 * (t_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 * (t_0 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) tmp = 0.0 if ((x <= -0.0031) || !(x <= 0.00075)) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / Float64(3.0 * Float64(t_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(t_0 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); tmp = 0.0; if ((x <= -0.0031) || ~((x <= 0.00075))) tmp = (2.0 + ((sin(x) ^ 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / (3.0 * (t_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 * (t_0 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0031], N[Not[LessEqual[x, 0.00075]], $MachinePrecision]], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + 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[(t$95$0 + 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]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
\mathbf{if}\;x \leq -0.0031 \lor \neg \left(x \leq 0.00075\right):\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{3 \cdot \left(t\_0 + \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(t\_0 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\end{array}
\end{array}
if x < -0.00309999999999999989 or 7.5000000000000002e-4 < x Initial program 98.9%
Taylor expanded in y around 0 60.3%
*-commutative60.3%
associate-*l*60.3%
associate-*r*60.3%
*-commutative60.3%
sub-neg60.3%
metadata-eval60.3%
distribute-rgt-in60.3%
metadata-eval60.3%
Simplified60.3%
if -0.00309999999999999989 < x < 7.5000000000000002e-4Initial program 99.6%
Taylor expanded in x around 0 98.6%
*-commutative98.6%
*-commutative98.6%
associate-*l*98.6%
Simplified98.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr98.7%
+-commutative99.6%
Simplified98.7%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (or (<= x -0.0031) (not (<= x 0.00105)))
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
t_0)
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.0031) || !(x <= 0.00105)) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_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) :: tmp
t_0 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if ((x <= (-0.0031d0)) .or. (.not. (x <= 0.00105d0))) then
tmp = (2.0d0 + ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (0.0625d0 + (cos(x) * (-0.0625d0)))))) / t_0
else
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_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)));
double tmp;
if ((x <= -0.0031) || !(x <= 0.00105)) {
tmp = (2.0 + (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (0.0625 + (Math.cos(x) * -0.0625))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / t_0;
}
return tmp;
}
def code(x, y): t_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))) tmp = 0 if (x <= -0.0031) or not (x <= 0.00105): tmp = (2.0 + (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (0.0625 + (math.cos(x) * -0.0625))))) / t_0 else: tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if ((x <= -0.0031) || !(x <= 0.00105)) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / 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))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if ((x <= -0.0031) || ~((x <= 0.00105))) tmp = (2.0 + ((sin(x) ^ 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / t_0; else tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0031], N[Not[LessEqual[x, 0.00105]], $MachinePrecision]], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $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] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.0031 \lor \neg \left(x \leq 0.00105\right):\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.00309999999999999989 or 0.00104999999999999994 < x Initial program 98.9%
Taylor expanded in y around 0 60.3%
*-commutative60.3%
associate-*l*60.3%
associate-*r*60.3%
*-commutative60.3%
sub-neg60.3%
metadata-eval60.3%
distribute-rgt-in60.3%
metadata-eval60.3%
Simplified60.3%
if -0.00309999999999999989 < x < 0.00104999999999999994Initial program 99.6%
Taylor expanded in x around 0 98.6%
*-commutative98.6%
*-commutative98.6%
associate-*l*98.6%
Simplified98.6%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- 1.0 (cos y)))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_0 2.0))))))
(if (<= y -2.1e-6)
(/
(+
2.0
(* -0.0625 (* t_1 (* (sqrt 2.0) (- 0.5 (/ (cos (* 2.0 y)) 2.0))))))
t_3)
(if (<= y 6.1e-6)
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos x) t_2)))))
(/ (+ 2.0 (* -0.0625 (* t_1 (* (sqrt 2.0) (pow (sin y) 2.0))))) t_3)))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = 1.0 - cos(y);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = 3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0)));
double tmp;
if (y <= -2.1e-6) {
tmp = (2.0 + (-0.0625 * (t_1 * (sqrt(2.0) * (0.5 - (cos((2.0 * y)) / 2.0)))))) / t_3;
} else if (y <= 6.1e-6) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(x) * t_2))));
} else {
tmp = (2.0 + (-0.0625 * (t_1 * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(1.0 - cos(y)) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0)))) tmp = 0.0 if (y <= -2.1e-6) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_1 * Float64(sqrt(2.0) * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)))))) / t_3); elseif (y <= 6.1e-6) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(x) * t_2))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_1 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -2.1e-6], N[(N[(2.0 + N[(-0.0625 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[y, 6.1e-6], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := 1 - \cos y\\
t_2 := \sqrt{5} + -1\\
t_3 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_2}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)\\
\mathbf{if}\;y \leq -2.1 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t\_1 \cdot \left(\sqrt{2} \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)\right)}{t\_3}\\
\mathbf{elif}\;y \leq 6.1 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(t\_0 + \cos x \cdot t\_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t\_1 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t\_3}\\
\end{array}
\end{array}
if y < -2.0999999999999998e-6Initial program 99.0%
Taylor expanded in x around 0 55.5%
*-commutative55.5%
*-commutative55.5%
associate-*l*55.5%
Simplified55.5%
unpow255.5%
sin-mult55.5%
Applied egg-rr55.5%
div-sub55.5%
+-inverses55.5%
cos-055.5%
metadata-eval55.5%
count-255.5%
*-commutative55.5%
Simplified55.5%
if -2.0999999999999998e-6 < y < 6.10000000000000004e-6Initial program 99.4%
Simplified99.5%
Taylor expanded in y around 0 99.4%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in y around 0 98.8%
if 6.10000000000000004e-6 < y Initial program 99.2%
Taylor expanded in x around 0 67.6%
*-commutative67.6%
*-commutative67.6%
associate-*l*67.7%
Simplified67.7%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= y -8e-6) (not (<= y 4.7e-6)))
(/
(+
2.0
(*
-0.0625
(* (- 1.0 (cos y)) (* (sqrt 2.0) (- 0.5 (/ (cos (* 2.0 y)) 2.0))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) (* (cos y) (/ t_1 2.0)))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ t_1 (* (cos x) t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((y <= -8e-6) || !(y <= 4.7e-6)) {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (0.5 - (cos((2.0 * y)) / 2.0)))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * (t_1 / 2.0))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + (1.5 * (t_1 + (cos(x) * t_0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((y <= -8e-6) || !(y <= 4.7e-6)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_1 + Float64(cos(x) * t_0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -8e-6], N[Not[LessEqual[y, 4.7e-6]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$1 + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;y \leq -8 \cdot 10^{-6} \lor \neg \left(y \leq 4.7 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{t\_1}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(t\_1 + \cos x \cdot t\_0\right)}\\
\end{array}
\end{array}
if y < -7.99999999999999964e-6 or 4.69999999999999989e-6 < y Initial program 99.1%
Taylor expanded in x around 0 61.7%
*-commutative61.7%
*-commutative61.7%
associate-*l*61.7%
Simplified61.7%
unpow261.7%
sin-mult61.7%
Applied egg-rr61.7%
div-sub61.7%
+-inverses61.7%
cos-061.7%
metadata-eval61.7%
count-261.7%
*-commutative61.7%
Simplified61.7%
if -7.99999999999999964e-6 < y < 4.69999999999999989e-6Initial program 99.4%
Simplified99.5%
Taylor expanded in y around 0 99.4%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in y around 0 98.8%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(if (or (<= y -2.8e-5) (not (<= y 7.8e-6)))
(/
(+
2.0
(*
-0.0625
(* (- 1.0 (cos y)) (* (sqrt 2.0) (- 0.5 (/ (cos (* 2.0 y)) 2.0))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+
1.0
(+
(* (cos x) (- (* (sqrt 5.0) 0.5) 0.5))
(* 2.0 (/ 1.0 (+ 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
double tmp;
if ((y <= -2.8e-5) || !(y <= 7.8e-6)) {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (0.5 - (cos((2.0 * y)) / 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 = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((cos(x) * ((sqrt(5.0) * 0.5) - 0.5)) + (2.0 * (1.0 / (3.0 + sqrt(5.0)))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: tmp
if ((y <= (-2.8d-5)) .or. (.not. (y <= 7.8d-6))) then
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (0.5d0 - (cos((2.0d0 * y)) / 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 = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + ((cos(x) * ((sqrt(5.0d0) * 0.5d0) - 0.5d0)) + (2.0d0 * (1.0d0 / (3.0d0 + sqrt(5.0d0)))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double tmp;
if ((y <= -2.8e-5) || !(y <= 7.8e-6)) {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * (0.5 - (Math.cos((2.0 * y)) / 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 = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + ((Math.cos(x) * ((Math.sqrt(5.0) * 0.5) - 0.5)) + (2.0 * (1.0 / (3.0 + Math.sqrt(5.0)))))));
}
return tmp;
}
def code(x, y): tmp = 0 if (y <= -2.8e-5) or not (y <= 7.8e-6): tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * (0.5 - (math.cos((2.0 * y)) / 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 = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + ((math.cos(x) * ((math.sqrt(5.0) * 0.5) - 0.5)) + (2.0 * (1.0 / (3.0 + math.sqrt(5.0))))))) return tmp
function code(x, y) tmp = 0.0 if ((y <= -2.8e-5) || !(y <= 7.8e-6)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 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(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) * 0.5) - 0.5)) + Float64(2.0 * Float64(1.0 / Float64(3.0 + sqrt(5.0)))))))); end return tmp end
function tmp_2 = code(x, y) tmp = 0.0; if ((y <= -2.8e-5) || ~((y <= 7.8e-6))) tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (0.5 - (cos((2.0 * y)) / 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 = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((cos(x) * ((sqrt(5.0) * 0.5) - 0.5)) + (2.0 * (1.0 / (3.0 + sqrt(5.0))))))); end tmp_2 = tmp; end
code[x_, y_] := If[Or[LessEqual[y, -2.8e-5], N[Not[LessEqual[y, 7.8e-6]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $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], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(1.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;y \leq -2.8 \cdot 10^{-5} \lor \neg \left(y \leq 7.8 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\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)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(\cos x \cdot \left(\sqrt{5} \cdot 0.5 - 0.5\right) + 2 \cdot \frac{1}{3 + \sqrt{5}}\right)}\\
\end{array}
\end{array}
if y < -2.79999999999999996e-5 or 7.7999999999999999e-6 < y Initial program 99.1%
Taylor expanded in x around 0 61.7%
*-commutative61.7%
*-commutative61.7%
associate-*l*61.7%
Simplified61.7%
unpow261.7%
sin-mult61.7%
Applied egg-rr61.7%
div-sub61.7%
+-inverses61.7%
cos-061.7%
metadata-eval61.7%
count-261.7%
*-commutative61.7%
Simplified61.7%
if -2.79999999999999996e-5 < y < 7.7999999999999999e-6Initial program 99.4%
Simplified99.5%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.5%
metadata-eval99.5%
metadata-eval99.5%
metadata-eval99.5%
Applied egg-rr99.5%
+-commutative99.5%
Simplified99.5%
Taylor expanded in y around 0 98.7%
Final simplification78.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))) (t_1 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.0031) (not (<= x 6e-6)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* 2.0 (/ 1.0 t_0))))))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 0.5 (+ (* 2.0 (/ (cos y) t_0)) t_1)))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.0031) || !(x <= 6e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((cos(x) * (t_1 - 0.5)) + (2.0 * (1.0 / t_0)))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + ((2.0 * (cos(y) / t_0)) + t_1)));
}
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 = 3.0d0 + sqrt(5.0d0)
t_1 = sqrt(5.0d0) * 0.5d0
if ((x <= (-0.0031d0)) .or. (.not. (x <= 6d-6))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + ((cos(x) * (t_1 - 0.5d0)) + (2.0d0 * (1.0d0 / t_0)))))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (0.5d0 + ((2.0d0 * (cos(y) / t_0)) + t_1)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + Math.sqrt(5.0);
double t_1 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.0031) || !(x <= 6e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + ((Math.cos(x) * (t_1 - 0.5)) + (2.0 * (1.0 / t_0)))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (0.5 + ((2.0 * (Math.cos(y) / t_0)) + t_1)));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + math.sqrt(5.0) t_1 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -0.0031) or not (x <= 6e-6): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + ((math.cos(x) * (t_1 - 0.5)) + (2.0 * (1.0 / t_0))))) else: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (0.5 + ((2.0 * (math.cos(y) / t_0)) + t_1))) return tmp
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.0031) || !(x <= 6e-6)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(2.0 * Float64(1.0 / t_0)))))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(0.5 + Float64(Float64(2.0 * Float64(cos(y) / t_0)) + t_1)))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + sqrt(5.0); t_1 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -0.0031) || ~((x <= 6e-6))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((cos(x) * (t_1 - 0.5)) + (2.0 * (1.0 / t_0))))); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + ((2.0 * (cos(y) / t_0)) + t_1))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.0031], N[Not[LessEqual[x, 6e-6]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(2.0 + 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] / N[(0.5 + N[(N[(2.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.0031 \lor \neg \left(x \leq 6 \cdot 10^{-6}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(\cos x \cdot \left(t\_1 - 0.5\right) + 2 \cdot \frac{1}{t\_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{0.5 + \left(2 \cdot \frac{\cos y}{t\_0} + t\_1\right)}\\
\end{array}
\end{array}
if x < -0.00309999999999999989 or 6.0000000000000002e-6 < x Initial program 98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.0%
+-commutative99.1%
Simplified99.0%
Taylor expanded in y around 0 59.2%
if -0.00309999999999999989 < x < 6.0000000000000002e-6Initial program 99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 98.5%
Final simplification78.4%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))))) (+ 0.5 (+ (* 2.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* (sqrt 5.0) 0.5))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + ((2.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (sqrt(5.0) * 0.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (0.5d0 + ((2.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (sqrt(5.0d0) * 0.5d0))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (0.5 + ((2.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.sqrt(5.0) * 0.5))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (0.5 + ((2.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.sqrt(5.0) * 0.5))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(0.5 + Float64(Float64(2.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(sqrt(5.0) * 0.5))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + ((2.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (sqrt(5.0) * 0.5)))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + 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] / N[(0.5 + N[(N[(2.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{0.5 + \left(2 \cdot \frac{\cos y}{3 + \sqrt{5}} + \sqrt{5} \cdot 0.5\right)}
\end{array}
Initial program 99.2%
Simplified99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.3%
+-commutative99.4%
Simplified99.3%
Taylor expanded in x around 0 59.0%
Final simplification59.0%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* (+ (cos x) -1.0) (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))))) 6.0))
double code(double x, double y) {
return (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((cos(x) + (-1.0d0)) * (sqrt(2.0d0) * ((-0.0625d0) * (sin(x) ** 2.0d0))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + ((Math.cos(x) + -1.0) * (Math.sqrt(2.0) * (-0.0625 * Math.pow(Math.sin(x), 2.0))))) / 6.0;
}
def code(x, y): return (2.0 + ((math.cos(x) + -1.0) * (math.sqrt(2.0) * (-0.0625 * math.pow(math.sin(x), 2.0))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * (sin(x) ^ 2.0))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x + -1\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in x around 0 59.6%
associate--l+59.6%
fma-define59.6%
*-commutative59.6%
fma-neg59.6%
sub-neg59.6%
+-commutative59.6%
distribute-rgt-neg-in59.6%
metadata-eval59.6%
fma-define59.6%
metadata-eval59.6%
Simplified59.6%
Taylor expanded in y around 0 38.4%
distribute-rgt-out38.4%
metadata-eval38.4%
mul0-rgt38.4%
metadata-eval38.4%
Simplified38.4%
Taylor expanded in y around 0 38.5%
sub-neg38.5%
metadata-eval38.5%
associate-*r*38.5%
associate-*r*38.5%
associate-*r*38.5%
*-commutative38.5%
Simplified38.5%
Final simplification38.5%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
-0.0625
(* (- 0.5 (/ (cos (* 2.0 y)) 2.0)) (* (sqrt 2.0) (- 1.0 (cos y))))))
6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * 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 + ((-0.0625d0) * ((0.5d0 - (cos((2.0d0 * 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 + (-0.0625 * ((0.5 - (Math.cos((2.0 * y)) / 2.0)) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * ((0.5 - (math.cos((2.0 * y)) / 2.0)) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * y)) / 2.0)) * (sqrt(2.0) * (1.0 - cos(y)))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right) \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in x around 0 59.6%
associate--l+59.6%
fma-define59.6%
*-commutative59.6%
fma-neg59.6%
sub-neg59.6%
+-commutative59.6%
distribute-rgt-neg-in59.6%
metadata-eval59.6%
fma-define59.6%
metadata-eval59.6%
Simplified59.6%
Taylor expanded in y around 0 38.4%
distribute-rgt-out38.4%
metadata-eval38.4%
mul0-rgt38.4%
metadata-eval38.4%
Simplified38.4%
Taylor expanded in x around 0 38.3%
unpow262.2%
sin-mult62.2%
Applied egg-rr38.3%
div-sub62.2%
+-inverses62.2%
cos-062.2%
metadata-eval62.2%
count-262.2%
*-commutative62.2%
Simplified38.3%
Final simplification38.3%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (- 1.0 (cos y))) (pow y 2.0)))) 6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((sqrt(2.0) * (1.0 - cos(y))) * pow(y, 2.0)))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (y ** 2.0d0)))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * Math.pow(y, 2.0)))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * ((math.sqrt(2.0) * (1.0 - math.cos(y))) * math.pow(y, 2.0)))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * (y ^ 2.0)))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (1.0 - cos(y))) * (y ^ 2.0)))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[y, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot {y}^{2}\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in x around 0 59.6%
associate--l+59.6%
fma-define59.6%
*-commutative59.6%
fma-neg59.6%
sub-neg59.6%
+-commutative59.6%
distribute-rgt-neg-in59.6%
metadata-eval59.6%
fma-define59.6%
metadata-eval59.6%
Simplified59.6%
Taylor expanded in y around 0 38.4%
distribute-rgt-out38.4%
metadata-eval38.4%
mul0-rgt38.4%
metadata-eval38.4%
Simplified38.4%
Taylor expanded in x around 0 38.3%
Taylor expanded in y around 0 27.6%
Final simplification27.6%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) 0.5) (pow y 4.0)))) 6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((sqrt(2.0) * 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 + ((-0.0625d0) * ((sqrt(2.0d0) * 0.5d0) * (y ** 4.0d0)))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * ((Math.sqrt(2.0) * 0.5) * Math.pow(y, 4.0)))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * ((math.sqrt(2.0) * 0.5) * math.pow(y, 4.0)))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * 0.5) * (y ^ 4.0)))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * 0.5) * (y ^ 4.0)))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * 0.5), $MachinePrecision] * N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot 0.5\right) \cdot {y}^{4}\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in x around 0 59.6%
associate--l+59.6%
fma-define59.6%
*-commutative59.6%
fma-neg59.6%
sub-neg59.6%
+-commutative59.6%
distribute-rgt-neg-in59.6%
metadata-eval59.6%
fma-define59.6%
metadata-eval59.6%
Simplified59.6%
Taylor expanded in y around 0 38.4%
distribute-rgt-out38.4%
metadata-eval38.4%
mul0-rgt38.4%
metadata-eval38.4%
Simplified38.4%
Taylor expanded in x around 0 38.3%
Taylor expanded in y around 0 27.5%
*-commutative27.5%
associate-*r*27.5%
Simplified27.5%
Final simplification27.5%
herbie shell --seed 2024094
(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))))))