
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
(cos y)
(/ 6.0 (+ 3.0 (sqrt 5.0)))
(* (* (cos x) (+ (sqrt 5.0) -1.0)) 1.5)))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(cos(y), (6.0 / (3.0 + sqrt(5.0))), ((cos(x) * (sqrt(5.0) + -1.0)) * 1.5)));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(6.0 / Float64(3.0 + sqrt(5.0))), Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) * 1.5)))) end
code[x_, y_] := 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] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{6}{3 + \sqrt{5}}, \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) \cdot 1.5\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
associate-*l/99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
(cos y)
(* 1.5 (- 3.0 (sqrt 5.0)))
(* (* (cos x) (+ (sqrt 5.0) -1.0)) 1.5)))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(cos(y), (1.5 * (3.0 - sqrt(5.0))), ((cos(x) * (sqrt(5.0) + -1.0)) * 1.5)));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(1.5 * Float64(3.0 - sqrt(5.0))), Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) * 1.5)))) end
code[x_, y_] := 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] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, 1.5 \cdot \left(3 - \sqrt{5}\right), \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) \cdot 1.5\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(+
(* (* (cos x) (+ (sqrt 5.0) -1.0)) 1.5)
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + (((cos(x) * (sqrt(5.0) + -1.0)) * 1.5) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) * 1.5) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
code[x_, y_] := 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] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \left(\left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) \cdot 1.5 + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(*
1.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))) end
code[x_, y_] := 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] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
Taylor expanded in y around inf 99.4%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))))
(* 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;
return (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))))) / (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 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * ((sin(x) - (sin(y) / 16.0d0)) * (sin(y) - (sin(x) / 16.0d0)))))) / (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.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * ((Math.sin(x) - (Math.sin(y) / 16.0)) * (Math.sin(y) - (Math.sin(x) / 16.0)))))) / (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.cos(x) - math.cos(y)) * (math.sqrt(2.0) * ((math.sin(x) - (math.sin(y) / 16.0)) * (math.sin(y) - (math.sin(x) / 16.0)))))) / (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(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))))) / (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[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * 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]), $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(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
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) (- 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) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (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) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625d0)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (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.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) * (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.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) * (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(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(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) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (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[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[(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 + \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(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (cos x) (cos y))))
(if (or (<= y -0.095) (not (<= y 0.0275)))
(/
(+ 2.0 (* t_1 (* (sqrt 2.0) (* (sin y) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
t_1
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ y 16.0))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = cos(x) - cos(y);
double tmp;
if ((y <= -0.095) || !(y <= 0.0275)) {
tmp = (2.0 + (t_1 * (sqrt(2.0) * (sin(y) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = cos(x) - cos(y)
if ((y <= (-0.095d0)) .or. (.not. (y <= 0.0275d0))) then
tmp = (2.0d0 + (t_1 * (sqrt(2.0d0) * (sin(y) * (sin(x) - (sin(y) / 16.0d0)))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (t_1 * ((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) - (y / 16.0d0)))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.cos(x) - Math.cos(y);
double tmp;
if ((y <= -0.095) || !(y <= 0.0275)) {
tmp = (2.0 + (t_1 * (Math.sqrt(2.0) * (Math.sin(y) * (Math.sin(x) - (Math.sin(y) / 16.0)))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (t_1 * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) - (y / 16.0)))))) / (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))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.cos(x) - math.cos(y) tmp = 0 if (y <= -0.095) or not (y <= 0.0275): tmp = (2.0 + (t_1 * (math.sqrt(2.0) * (math.sin(y) * (math.sin(x) - (math.sin(y) / 16.0)))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (t_1 * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) - (y / 16.0)))))) / (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)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((y <= -0.095) || !(y <= 0.0275)) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * Float64(sin(y) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / 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(t_1 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(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(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = cos(x) - cos(y); tmp = 0.0; if ((y <= -0.095) || ~((y <= 0.0275))) tmp = (2.0 + (t_1 * (sqrt(2.0) * (sin(y) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -0.095], N[Not[LessEqual[y, 0.0275]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $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[(2.0 + N[(t$95$1 * 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[(y / 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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \cos x - \cos y\\
\mathbf{if}\;y \leq -0.095 \lor \neg \left(y \leq 0.0275\right):\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(\sin x - \frac{\sin y}{16}\right)\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{2 + t\_1 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{y}{16}\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}
\end{array}
if y < -0.095000000000000001 or 0.0275000000000000001 < y Initial program 98.9%
associate-*l*99.0%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.0%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 67.0%
if -0.095000000000000001 < y < 0.0275000000000000001Initial program 99.7%
Taylor expanded in y around 0 99.4%
Final simplification82.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -0.02) (not (<= y 0.005)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* (sin y) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (- (sin x) (/ y 16.0))))
(+ (cos x) -1.0)))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -0.02) || !(y <= 0.005)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))) * (cos(x) + -1.0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
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 <= (-0.02d0)) .or. (.not. (y <= 0.005d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * (sin(y) * (sin(x) - (sin(y) / 16.0d0)))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) - (y / 16.0d0)))) * (cos(x) + (-1.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
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 <= -0.02) || !(y <= 0.005)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * (Math.sin(y) * (Math.sin(x) - (Math.sin(y) / 16.0)))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) - (y / 16.0)))) * (Math.cos(x) + -1.0))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (y <= -0.02) or not (y <= 0.005): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.sqrt(2.0) * (math.sin(y) * (math.sin(x) - (math.sin(y) / 16.0)))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) - (y / 16.0)))) * (math.cos(x) + -1.0))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -0.02) || !(y <= 0.005)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(sin(y) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / 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(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(y / 16.0)))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((y <= -0.02) || ~((y <= 0.005))) tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))) * (cos(x) + -1.0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); 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, -0.02], N[Not[LessEqual[y, 0.005]], $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[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $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[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(y / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -0.02 \lor \neg \left(y \leq 0.005\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(\sin x - \frac{\sin y}{16}\right)\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{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{y}{16}\right)\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if y < -0.0200000000000000004 or 0.0050000000000000001 < y Initial program 98.9%
associate-*l*99.0%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.0%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 67.0%
if -0.0200000000000000004 < y < 0.0050000000000000001Initial program 99.7%
Taylor expanded in y around 0 99.2%
Taylor expanded in y around 0 99.2%
Final simplification82.6%
(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 -0.0056) (not (<= x 0.045)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sin x) (* (sqrt 2.0) (- (sin y) (* (sin x) 0.0625))))))
t_0)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (+ x (* (sin y) -0.0625))))
(- 1.0 (cos y))))
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 <= -0.0056) || !(x <= 0.045)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sin(x) * (sqrt(2.0) * (sin(y) - (sin(x) * 0.0625)))))) / t_0;
} else {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / 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 <= (-0.0056d0)) .or. (.not. (x <= 0.045d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * (sin(x) * (sqrt(2.0d0) * (sin(y) - (sin(x) * 0.0625d0)))))) / t_0
else
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0))))) * (1.0d0 - cos(y)))) / 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 <= -0.0056) || !(x <= 0.045)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sin(x) * (Math.sqrt(2.0) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / t_0;
} else {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))) * (1.0 - Math.cos(y)))) / 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 <= -0.0056) or not (x <= 0.045): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.sin(x) * (math.sqrt(2.0) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / t_0 else: tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))) * (1.0 - math.cos(y)))) / 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 <= -0.0056) || !(x <= 0.045)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) * Float64(sqrt(2.0) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))) * Float64(1.0 - cos(y)))) / 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 <= -0.0056) || ~((x <= 0.045))) tmp = (2.0 + ((cos(x) - cos(y)) * (sin(x) * (sqrt(2.0) * (sin(y) - (sin(x) * 0.0625)))))) / t_0; else tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / 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, -0.0056], N[Not[LessEqual[x, 0.045]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $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 -0.0056 \lor \neg \left(x \leq 0.045\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sin x \cdot \left(\sqrt{2} \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right) \cdot \left(1 - \cos y\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.00559999999999999994 or 0.044999999999999998 < x Initial program 98.9%
add-cube-cbrt98.9%
pow398.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 63.7%
*-commutative63.7%
Simplified63.7%
Taylor expanded in x around inf 63.7%
if -0.00559999999999999994 < x < 0.044999999999999998Initial program 99.6%
add-cube-cbrt99.6%
pow399.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.1%
Taylor expanded in x around 0 99.1%
+-commutative99.1%
associate-*r*99.1%
distribute-rgt-out99.1%
Simplified99.1%
Final simplification82.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (<= x -0.003)
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* (sqrt 2.0) t_0)))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (expm1 (log1p (- 1.5 (* (sqrt 5.0) 0.5)))))))))
(if (<= x 0.045)
(/
(+
2.0
(* (* t_2 (* (sqrt 2.0) (+ x (* (sin y) -0.0625)))) (- 1.0 (cos y))))
t_1)
(/ (+ 2.0 (* t_0 (* t_2 (* (sqrt 2.0) (sin x))))) t_1)))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if (x <= -0.003) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (sqrt(2.0) * t_0))) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * expm1(log1p((1.5 - (sqrt(5.0) * 0.5))))))));
} else if (x <= 0.045) {
tmp = (2.0 + ((t_2 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / t_1;
} else {
tmp = (2.0 + (t_0 * (t_2 * (sqrt(2.0) * sin(x))))) / t_1;
}
return tmp;
}
public static double code(double x, double y) {
double t_0 = Math.cos(x) + -1.0;
double t_1 = 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 t_2 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if (x <= -0.003) {
tmp = (2.0 + ((-0.0625 * Math.pow(Math.sin(x), 2.0)) * (Math.sqrt(2.0) * t_0))) / (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))))))));
} else if (x <= 0.045) {
tmp = (2.0 + ((t_2 * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))) * (1.0 - Math.cos(y)))) / t_1;
} else {
tmp = (2.0 + (t_0 * (t_2 * (Math.sqrt(2.0) * Math.sin(x))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.cos(x) + -1.0 t_1 = 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))) t_2 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if x <= -0.003: tmp = (2.0 + ((-0.0625 * math.pow(math.sin(x), 2.0)) * (math.sqrt(2.0) * t_0))) / (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)))))))) elif x <= 0.045: tmp = (2.0 + ((t_2 * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))) * (1.0 - math.cos(y)))) / t_1 else: tmp = (2.0 + (t_0 * (t_2 * (math.sqrt(2.0) * math.sin(x))))) / t_1 return tmp
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = 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)))) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if (x <= -0.003) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(sqrt(2.0) * t_0))) / 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))))))))); elseif (x <= 0.045) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))) * Float64(1.0 - cos(y)))) / t_1); else tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(t_2 * Float64(sqrt(2.0) * sin(x))))) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.003], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $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], If[LessEqual[x, 0.045], N[(N[(2.0 + N[(N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(t$95$0 * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.003:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(\sqrt{2} \cdot t\_0\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)}\\
\mathbf{elif}\;x \leq 0.045:\\
\;\;\;\;\frac{2 + \left(t\_2 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right) \cdot \left(1 - \cos y\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(t\_2 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_1}\\
\end{array}
\end{array}
if x < -0.0030000000000000001Initial program 98.7%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+98.8%
Simplified98.8%
Taylor expanded in y around 0 59.0%
associate-*r*59.0%
sub-neg59.0%
metadata-eval59.0%
Simplified59.0%
expm1-log1p-u59.2%
div-inv59.2%
metadata-eval59.2%
Applied egg-rr59.2%
if -0.0030000000000000001 < x < 0.044999999999999998Initial program 99.6%
add-cube-cbrt99.6%
pow399.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.1%
Taylor expanded in x around 0 99.1%
+-commutative99.1%
associate-*r*99.1%
distribute-rgt-out99.1%
Simplified99.1%
if 0.044999999999999998 < x Initial program 99.2%
Taylor expanded in y around 0 63.6%
Taylor expanded in y around 0 63.1%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (+ (cos x) -1.0))
(t_3
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ t_1 2.0))))))
(if (<= x -0.0055)
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* (sqrt 2.0) t_2)))
(*
3.0
(fma
(cos x)
(+ (/ (sqrt 5.0) 2.0) -0.5)
(fma t_1 (/ (cos y) 2.0) 1.0))))
(if (<= x 0.045)
(/
(+
2.0
(* (* t_0 (* (sqrt 2.0) (+ x (* (sin y) -0.0625)))) (- 1.0 (cos y))))
t_3)
(/ (+ 2.0 (* t_2 (* t_0 (* (sqrt 2.0) (sin x))))) t_3)))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = cos(x) + -1.0;
double t_3 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * (t_1 / 2.0)));
double tmp;
if (x <= -0.0055) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (sqrt(2.0) * t_2))) / (3.0 * fma(cos(x), ((sqrt(5.0) / 2.0) + -0.5), fma(t_1, (cos(y) / 2.0), 1.0)));
} else if (x <= 0.045) {
tmp = (2.0 + ((t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / t_3;
} else {
tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * sin(x))))) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(cos(x) + -1.0) t_3 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0)))) tmp = 0.0 if (x <= -0.0055) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(sqrt(2.0) * t_2))) / Float64(3.0 * fma(cos(x), Float64(Float64(sqrt(5.0) / 2.0) + -0.5), fma(t_1, Float64(cos(y) / 2.0), 1.0)))); elseif (x <= 0.045) tmp = Float64(Float64(2.0 + Float64(Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))) * Float64(1.0 - cos(y)))) / t_3); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_0 * Float64(sqrt(2.0) * sin(x))))) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = 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[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0055], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] + -0.5), $MachinePrecision] + N[(t$95$1 * N[(N[Cos[y], $MachinePrecision] / 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.045], N[(N[(2.0 + N[(N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 3 - \sqrt{5}\\
t_2 := \cos x + -1\\
t_3 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{t\_1}{2}\right)\\
\mathbf{if}\;x \leq -0.0055:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(\sqrt{2} \cdot t\_2\right)}{3 \cdot \mathsf{fma}\left(\cos x, \frac{\sqrt{5}}{2} + -0.5, \mathsf{fma}\left(t\_1, \frac{\cos y}{2}, 1\right)\right)}\\
\mathbf{elif}\;x \leq 0.045:\\
\;\;\;\;\frac{2 + \left(t\_0 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right) \cdot \left(1 - \cos y\right)}{t\_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(t\_0 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_3}\\
\end{array}
\end{array}
if x < -0.0054999999999999997Initial program 98.7%
Simplified98.9%
Taylor expanded in y around 0 59.1%
associate-*r*59.1%
sub-neg59.1%
metadata-eval59.1%
Simplified59.1%
if -0.0054999999999999997 < x < 0.044999999999999998Initial program 99.6%
add-cube-cbrt99.6%
pow399.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.1%
Taylor expanded in x around 0 99.1%
+-commutative99.1%
associate-*r*99.1%
distribute-rgt-out99.1%
Simplified99.1%
if 0.044999999999999998 < x Initial program 99.2%
Taylor expanded in y around 0 63.6%
Taylor expanded in y around 0 63.1%
Final simplification81.1%
(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)))))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2 (/ (sqrt 5.0) 2.0))
(t_3 (+ (cos x) -1.0)))
(if (<= x -0.0042)
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* t_3 (exp (* 0.5 (log 2.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))
(if (<= x 0.048)
(/
(+
2.0
(* (* t_1 (* (sqrt 2.0) (+ x (* (sin y) -0.0625)))) (- 1.0 (cos y))))
t_0)
(/ (+ 2.0 (* t_3 (* t_1 (* (sqrt 2.0) (sin x))))) 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 t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = sqrt(5.0) / 2.0;
double t_3 = cos(x) + -1.0;
double tmp;
if (x <= -0.0042) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (t_3 * exp((0.5 * log(2.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
} else if (x <= 0.048) {
tmp = (2.0 + ((t_1 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / t_0;
} else {
tmp = (2.0 + (t_3 * (t_1 * (sqrt(2.0) * sin(x))))) / 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) :: t_2
real(8) :: t_3
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)))
t_1 = sin(y) - (sin(x) / 16.0d0)
t_2 = sqrt(5.0d0) / 2.0d0
t_3 = cos(x) + (-1.0d0)
if (x <= (-0.0042d0)) then
tmp = (2.0d0 + (((-0.0625d0) * (sin(x) ** 2.0d0)) * (t_3 * exp((0.5d0 * log(2.0d0)))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_2 - 0.5d0)) + (cos(y) * (1.5d0 - t_2)))))
else if (x <= 0.048d0) then
tmp = (2.0d0 + ((t_1 * (sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0))))) * (1.0d0 - cos(y)))) / t_0
else
tmp = (2.0d0 + (t_3 * (t_1 * (sqrt(2.0d0) * sin(x))))) / 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 t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_2 = Math.sqrt(5.0) / 2.0;
double t_3 = Math.cos(x) + -1.0;
double tmp;
if (x <= -0.0042) {
tmp = (2.0 + ((-0.0625 * Math.pow(Math.sin(x), 2.0)) * (t_3 * Math.exp((0.5 * Math.log(2.0)))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_2 - 0.5)) + (Math.cos(y) * (1.5 - t_2)))));
} else if (x <= 0.048) {
tmp = (2.0 + ((t_1 * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))) * (1.0 - Math.cos(y)))) / t_0;
} else {
tmp = (2.0 + (t_3 * (t_1 * (Math.sqrt(2.0) * Math.sin(x))))) / 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))) t_1 = math.sin(y) - (math.sin(x) / 16.0) t_2 = math.sqrt(5.0) / 2.0 t_3 = math.cos(x) + -1.0 tmp = 0 if x <= -0.0042: tmp = (2.0 + ((-0.0625 * math.pow(math.sin(x), 2.0)) * (t_3 * math.exp((0.5 * math.log(2.0)))))) / (3.0 * (1.0 + ((math.cos(x) * (t_2 - 0.5)) + (math.cos(y) * (1.5 - t_2))))) elif x <= 0.048: tmp = (2.0 + ((t_1 * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))) * (1.0 - math.cos(y)))) / t_0 else: tmp = (2.0 + (t_3 * (t_1 * (math.sqrt(2.0) * math.sin(x))))) / 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)))) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = Float64(sqrt(5.0) / 2.0) t_3 = Float64(cos(x) + -1.0) tmp = 0.0 if (x <= -0.0042) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(t_3 * exp(Float64(0.5 * log(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)))))); elseif (x <= 0.048) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))) * Float64(1.0 - cos(y)))) / t_0); else tmp = Float64(Float64(2.0 + Float64(t_3 * Float64(t_1 * Float64(sqrt(2.0) * sin(x))))) / 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))); t_1 = sin(y) - (sin(x) / 16.0); t_2 = sqrt(5.0) / 2.0; t_3 = cos(x) + -1.0; tmp = 0.0; if (x <= -0.0042) tmp = (2.0 + ((-0.0625 * (sin(x) ^ 2.0)) * (t_3 * exp((0.5 * log(2.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2))))); elseif (x <= 0.048) tmp = (2.0 + ((t_1 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / t_0; else tmp = (2.0 + (t_3 * (t_1 * (sqrt(2.0) * sin(x))))) / 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]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.0042], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * N[Exp[N[(0.5 * N[Log[2.0], $MachinePrecision]), $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], If[LessEqual[x, 0.048], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(t$95$3 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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)\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \frac{\sqrt{5}}{2}\\
t_3 := \cos x + -1\\
\mathbf{if}\;x \leq -0.0042:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(t\_3 \cdot e^{0.5 \cdot \log 2}\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)}\\
\mathbf{elif}\;x \leq 0.048:\\
\;\;\;\;\frac{2 + \left(t\_1 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right) \cdot \left(1 - \cos y\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_3 \cdot \left(t\_1 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.00419999999999999974Initial program 98.7%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+98.8%
Simplified98.8%
Taylor expanded in y around 0 59.0%
associate-*r*59.0%
sub-neg59.0%
metadata-eval59.0%
Simplified59.0%
pow1/259.0%
pow-to-exp59.0%
Applied egg-rr59.0%
if -0.00419999999999999974 < x < 0.048000000000000001Initial program 99.6%
add-cube-cbrt99.6%
pow399.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.1%
Taylor expanded in x around 0 99.1%
+-commutative99.1%
associate-*r*99.1%
distribute-rgt-out99.1%
Simplified99.1%
if 0.048000000000000001 < x Initial program 99.2%
Taylor expanded in y around 0 63.6%
Taylor expanded in y around 0 63.1%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2 (+ (cos x) -1.0)))
(if (<= x -6e-6)
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* t_2 (exp (* 0.5 (log 2.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1))))))
(if (<= x 4e-5)
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ x (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0))))
(/
(+ 2.0 (* t_2 (* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sqrt(5.0) / 2.0;
double t_2 = cos(x) + -1.0;
double tmp;
if (x <= -6e-6) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (t_2 * exp((0.5 * log(2.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1)))));
} else if (x <= 4e-5) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((x + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
} else {
tmp = (2.0 + (t_2 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(cos(x) + -1.0) tmp = 0.0 if (x <= -6e-6) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(t_2 * exp(Float64(0.5 * log(2.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1)))))); elseif (x <= 4e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(x + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -6e-6], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[Exp[N[(0.5 * N[Log[2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 4e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := \cos x + -1\\
\mathbf{if}\;x \leq -6 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(t\_2 \cdot e^{0.5 \cdot \log 2}\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_1 - 0.5\right) + \cos y \cdot \left(1.5 - t\_1\right)\right)\right)}\\
\mathbf{elif}\;x \leq 4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -6.0000000000000002e-6Initial program 98.7%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+98.8%
Simplified98.8%
Taylor expanded in y around 0 59.6%
associate-*r*59.6%
sub-neg59.6%
metadata-eval59.6%
Simplified59.6%
pow1/259.6%
pow-to-exp59.7%
Applied egg-rr59.7%
if -6.0000000000000002e-6 < x < 4.00000000000000033e-5Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
distribute-rgt-out99.6%
Simplified99.6%
if 4.00000000000000033e-5 < x Initial program 99.2%
Taylor expanded in y around 0 63.7%
Taylor expanded in y around 0 63.1%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (pow (sin x) 2.0))
(t_2 (/ (sqrt 5.0) 2.0)))
(if (<= x -0.00016)
(/
(+ 2.0 (* (* -0.0625 t_1) (* (+ (cos x) -1.0) (exp (* 0.5 (log 2.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))
(if (<= x 0.0003)
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ x (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0))))
(/
(+ 2.0 (* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) t_1))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -0.00016) {
tmp = (2.0 + ((-0.0625 * t_1) * ((cos(x) + -1.0) * exp((0.5 * log(2.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
} else if (x <= 0.0003) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((x + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * t_1)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -0.00016) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * t_1) * Float64(Float64(cos(x) + -1.0) * exp(Float64(0.5 * log(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)))))); elseif (x <= 0.0003) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(x + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * t_1)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -0.00016], N[(N[(2.0 + N[(N[(-0.0625 * t$95$1), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Exp[N[(0.5 * N[Log[2.0], $MachinePrecision]), $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], If[LessEqual[x, 0.0003], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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] * t$95$1), $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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := {\sin x}^{2}\\
t_2 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.00016:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot t\_1\right) \cdot \left(\left(\cos x + -1\right) \cdot e^{0.5 \cdot \log 2}\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)}\\
\mathbf{elif}\;x \leq 0.0003:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot t\_1\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -1.60000000000000013e-4Initial program 98.7%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+98.8%
Simplified98.8%
Taylor expanded in y around 0 59.6%
associate-*r*59.6%
sub-neg59.6%
metadata-eval59.6%
Simplified59.6%
pow1/259.6%
pow-to-exp59.7%
Applied egg-rr59.7%
if -1.60000000000000013e-4 < x < 2.99999999999999974e-4Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
distribute-rgt-out99.6%
Simplified99.6%
if 2.99999999999999974e-4 < x Initial program 99.2%
add-cube-cbrt99.2%
pow399.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
Taylor expanded in y around 0 62.5%
Final simplification80.9%
(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) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_2 (pow (sin x) 2.0)))
(if (<= x -7.8e-5)
(/ (fma -0.0625 (* (sqrt 2.0) (* t_2 (+ (cos x) -1.0))) 2.0) t_1)
(if (<= x 3.8e-5)
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ x (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0))))
(/
(+ 2.0 (* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) t_2))))
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) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = pow(sin(x), 2.0);
double tmp;
if (x <= -7.8e-5) {
tmp = fma(-0.0625, (sqrt(2.0) * (t_2 * (cos(x) + -1.0))), 2.0) / t_1;
} else if (x <= 3.8e-5) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((x + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * t_2)))) / 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(3.0 - sqrt(5.0)) / 2.0)))) t_2 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -7.8e-5) tmp = Float64(fma(-0.0625, Float64(sqrt(2.0) * Float64(t_2 * Float64(cos(x) + -1.0))), 2.0) / t_1); elseif (x <= 3.8e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(x + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * t_2)))) / 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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -7.8e-5], N[(N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[x, 3.8e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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] * t$95$2), $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{3 - \sqrt{5}}{2}\right)\\
t_2 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -7.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, \sqrt{2} \cdot \left(t\_2 \cdot \left(\cos x + -1\right)\right), 2\right)}{t\_1}\\
\mathbf{elif}\;x \leq 3.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot t\_2\right)\right)}{t\_1}\\
\end{array}
\end{array}
if x < -7.7999999999999999e-5Initial program 98.7%
add-cube-cbrt98.6%
pow398.6%
div-inv98.6%
metadata-eval98.6%
Applied egg-rr98.6%
Taylor expanded in y around 0 59.6%
+-commutative59.6%
fma-define59.6%
*-commutative59.6%
associate-*l*59.7%
sub-neg59.7%
metadata-eval59.7%
Simplified59.7%
if -7.7999999999999999e-5 < x < 3.8000000000000002e-5Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
distribute-rgt-out99.6%
Simplified99.6%
if 3.8000000000000002e-5 < x Initial program 99.2%
add-cube-cbrt99.2%
pow399.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
Taylor expanded in y around 0 62.5%
Final simplification80.9%
(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) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_2 (pow (sin x) 2.0)))
(if (<= x -2.35e-6)
(/ (fma -0.0625 (* (sqrt 2.0) (* t_2 (+ (cos x) -1.0))) 2.0) t_1)
(if (<= x 2e-5)
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* x -0.0625)) (* -0.0625 (* (sin y) (- 1.0 (cos y)))))
2.0)
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0))))
(/
(+ 2.0 (* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) t_2))))
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) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = pow(sin(x), 2.0);
double tmp;
if (x <= -2.35e-6) {
tmp = fma(-0.0625, (sqrt(2.0) * (t_2 * (cos(x) + -1.0))), 2.0) / t_1;
} else if (x <= 2e-5) {
tmp = fma(sqrt(2.0), ((sin(y) + (x * -0.0625)) * (-0.0625 * (sin(y) * (1.0 - cos(y))))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * t_2)))) / 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(3.0 - sqrt(5.0)) / 2.0)))) t_2 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -2.35e-6) tmp = Float64(fma(-0.0625, Float64(sqrt(2.0) * Float64(t_2 * Float64(cos(x) + -1.0))), 2.0) / t_1); elseif (x <= 2e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(x * -0.0625)) * Float64(-0.0625 * Float64(sin(y) * Float64(1.0 - cos(y))))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * t_2)))) / 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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -2.35e-6], N[(N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[x, 2e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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] * t$95$2), $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{3 - \sqrt{5}}{2}\right)\\
t_2 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -2.35 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, \sqrt{2} \cdot \left(t\_2 \cdot \left(\cos x + -1\right)\right), 2\right)}{t\_1}\\
\mathbf{elif}\;x \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + x \cdot -0.0625\right) \cdot \left(-0.0625 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot t\_2\right)\right)}{t\_1}\\
\end{array}
\end{array}
if x < -2.34999999999999995e-6Initial program 98.7%
add-cube-cbrt98.6%
pow398.6%
div-inv98.6%
metadata-eval98.6%
Applied egg-rr98.6%
Taylor expanded in y around 0 59.6%
+-commutative59.6%
fma-define59.6%
*-commutative59.6%
associate-*l*59.7%
sub-neg59.7%
metadata-eval59.7%
Simplified59.7%
if -2.34999999999999995e-6 < x < 2.00000000000000016e-5Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.0%
Taylor expanded in x around 0 99.0%
if 2.00000000000000016e-5 < x Initial program 99.2%
add-cube-cbrt99.2%
pow399.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
Taylor expanded in y around 0 62.5%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -3.25e-6) (not (<= x 2.1e-5)))
(/
(fma -0.0625 (* (sqrt 2.0) (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* x -0.0625)) (* -0.0625 (* (sin y) (- 1.0 (cos y)))))
2.0)
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -3.25e-6) || !(x <= 2.1e-5)) {
tmp = fma(-0.0625, (sqrt(2.0) * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (x * -0.0625)) * (-0.0625 * (sin(y) * (1.0 - cos(y))))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -3.25e-6) || !(x <= 2.1e-5)) tmp = Float64(fma(-0.0625, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(x * -0.0625)) * Float64(-0.0625 * Float64(sin(y) * Float64(1.0 - cos(y))))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * 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[x, -3.25e-6], N[Not[LessEqual[x, 2.1e-5]], $MachinePrecision]], N[(N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -3.25 \cdot 10^{-6} \lor \neg \left(x \leq 2.1 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + x \cdot -0.0625\right) \cdot \left(-0.0625 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\end{array}
\end{array}
if x < -3.2499999999999998e-6 or 2.09999999999999988e-5 < x Initial program 99.0%
add-cube-cbrt98.9%
pow398.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 61.0%
+-commutative61.0%
fma-define61.0%
*-commutative61.0%
associate-*l*61.0%
sub-neg61.0%
metadata-eval61.0%
Simplified61.0%
if -3.2499999999999998e-6 < x < 2.09999999999999988e-5Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.0%
Taylor expanded in x around 0 99.0%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -5.8e-6) (not (<= x 3.8e-6)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* x -0.0625)) (* -0.0625 (* (sin y) (- 1.0 (cos y)))))
2.0)
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -5.8e-6) || !(x <= 3.8e-6)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (x * -0.0625)) * (-0.0625 * (sin(y) * (1.0 - cos(y))))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -5.8e-6) || !(x <= 3.8e-6)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(x * -0.0625)) * Float64(-0.0625 * Float64(sin(y) * Float64(1.0 - cos(y))))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * 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[x, -5.8e-6], N[Not[LessEqual[x, 3.8e-6]], $MachinePrecision]], 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[(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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -5.8 \cdot 10^{-6} \lor \neg \left(x \leq 3.8 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + x \cdot -0.0625\right) \cdot \left(-0.0625 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\end{array}
\end{array}
if x < -5.8000000000000004e-6 or 3.8e-6 < x Initial program 99.0%
add-cube-cbrt98.9%
pow398.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 61.0%
if -5.8000000000000004e-6 < x < 3.8e-6Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.0%
Taylor expanded in x around 0 99.0%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -4.2e-5) (not (<= x 9.6e-6)))
(/
(+
2.0
(*
(* (sqrt 2.0) (+ (cos x) -1.0))
(* -0.0625 (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* x -0.0625)) (* -0.0625 (* (sin y) (- 1.0 (cos y)))))
2.0)
(+
3.0
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* 1.5 (+ (sqrt 5.0) -1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -4.2e-5) || !(x <= 9.6e-6)) {
tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * (0.5 - (cos((2.0 * x)) / 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) + (x * -0.0625)) * (-0.0625 * (sin(y) * (1.0 - cos(y))))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (sqrt(5.0) + -1.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -4.2e-5) || !(x <= 9.6e-6)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * Float64(0.5 - Float64(cos(Float64(2.0 * 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)))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(x * -0.0625)) * Float64(-0.0625 * Float64(sin(y) * Float64(1.0 - cos(y))))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * 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[x, -4.2e-5], N[Not[LessEqual[x, 9.6e-6]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $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[(x * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -4.2 \cdot 10^{-5} \lor \neg \left(x \leq 9.6 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{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 + x \cdot -0.0625\right) \cdot \left(-0.0625 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -4.19999999999999977e-5 or 9.5999999999999996e-6 < x Initial program 99.0%
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 61.0%
associate-*r*61.0%
sub-neg61.0%
metadata-eval61.0%
Simplified61.0%
unpow261.0%
sin-mult61.0%
Applied egg-rr61.0%
div-sub61.0%
+-inverses61.0%
cos-061.0%
metadata-eval61.0%
count-261.0%
*-commutative61.0%
Simplified61.0%
if -4.19999999999999977e-5 < x < 9.5999999999999996e-6Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.0%
Taylor expanded in x around 0 99.0%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -2.15e-6) (not (<= x 1.25e-6)))
(/
(+
2.0
(*
(* (sqrt 2.0) (+ (cos x) -1.0))
(* -0.0625 (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+
3.0
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* 1.5 (+ (sqrt 5.0) -1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -2.15e-6) || !(x <= 1.25e-6)) {
tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * (0.5 - (cos((2.0 * x)) / 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (sqrt(5.0) + -1.0))));
}
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 <= (-2.15d-6)) .or. (.not. (x <= 1.25d-6))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * ((-0.0625d0) * (0.5d0 - (cos((2.0d0 * x)) / 2.0d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + ((6.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (1.5d0 * (sqrt(5.0d0) + (-1.0d0)))))
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 <= -2.15e-6) || !(x <= 1.25e-6)) {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (-0.0625 * (0.5 - (Math.cos((2.0 * x)) / 2.0))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + ((6.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (1.5 * (Math.sqrt(5.0) + -1.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -2.15e-6) or not (x <= 1.25e-6): tmp = (2.0 + ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (-0.0625 * (0.5 - (math.cos((2.0 * x)) / 2.0))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + ((6.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (1.5 * (math.sqrt(5.0) + -1.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -2.15e-6) || !(x <= 1.25e-6)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * Float64(0.5 - Float64(cos(Float64(2.0 * 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)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * Float64(sqrt(5.0) + -1.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -2.15e-6) || ~((x <= 1.25e-6))) tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * (0.5 - (cos((2.0 * x)) / 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (sqrt(5.0) + -1.0)))); 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, -2.15e-6], N[Not[LessEqual[x, 1.25e-6]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $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[(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[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -2.15 \cdot 10^{-6} \lor \neg \left(x \leq 1.25 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{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{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -2.15000000000000017e-6 or 1.2500000000000001e-6 < x Initial program 99.0%
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 61.0%
associate-*r*61.0%
sub-neg61.0%
metadata-eval61.0%
Simplified61.0%
unpow261.0%
sin-mult61.0%
Applied egg-rr61.0%
div-sub61.0%
+-inverses61.0%
cos-061.0%
metadata-eval61.0%
count-261.0%
*-commutative61.0%
Simplified61.0%
if -2.15000000000000017e-6 < x < 1.2500000000000001e-6Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.0%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -3.3e-5) (not (<= x 4.5e-5)))
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* (sqrt 2.0) (+ (cos x) -1.0))))
(* 3.0 (+ 1.0 (- (+ 1.5 (* (cos x) (- t_0 0.5))) t_0))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+
3.0
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* 1.5 (+ (sqrt 5.0) -1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -3.3e-5) || !(x <= 4.5e-5)) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (sqrt(2.0) * (cos(x) + -1.0)))) / (3.0 * (1.0 + ((1.5 + (cos(x) * (t_0 - 0.5))) - t_0)));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (sqrt(5.0) + -1.0))));
}
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) * 0.5d0
if ((x <= (-3.3d-5)) .or. (.not. (x <= 4.5d-5))) then
tmp = (2.0d0 + (((-0.0625d0) * (sin(x) ** 2.0d0)) * (sqrt(2.0d0) * (cos(x) + (-1.0d0))))) / (3.0d0 * (1.0d0 + ((1.5d0 + (cos(x) * (t_0 - 0.5d0))) - t_0)))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + ((6.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (1.5d0 * (sqrt(5.0d0) + (-1.0d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -3.3e-5) || !(x <= 4.5e-5)) {
tmp = (2.0 + ((-0.0625 * Math.pow(Math.sin(x), 2.0)) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0)))) / (3.0 * (1.0 + ((1.5 + (Math.cos(x) * (t_0 - 0.5))) - t_0)));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + ((6.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (1.5 * (Math.sqrt(5.0) + -1.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -3.3e-5) or not (x <= 4.5e-5): tmp = (2.0 + ((-0.0625 * math.pow(math.sin(x), 2.0)) * (math.sqrt(2.0) * (math.cos(x) + -1.0)))) / (3.0 * (1.0 + ((1.5 + (math.cos(x) * (t_0 - 0.5))) - t_0))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + ((6.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (1.5 * (math.sqrt(5.0) + -1.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -3.3e-5) || !(x <= 4.5e-5)) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(1.5 + Float64(cos(x) * Float64(t_0 - 0.5))) - t_0)))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * Float64(sqrt(5.0) + -1.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -3.3e-5) || ~((x <= 4.5e-5))) tmp = (2.0 + ((-0.0625 * (sin(x) ^ 2.0)) * (sqrt(2.0) * (cos(x) + -1.0)))) / (3.0 * (1.0 + ((1.5 + (cos(x) * (t_0 - 0.5))) - t_0))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (sqrt(5.0) + -1.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -3.3e-5], N[Not[LessEqual[x, 4.5e-5]], $MachinePrecision]], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(1.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -3.3 \cdot 10^{-5} \lor \neg \left(x \leq 4.5 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)}{3 \cdot \left(1 + \left(\left(1.5 + \cos x \cdot \left(t\_0 - 0.5\right)\right) - t\_0\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -3.3000000000000003e-5 or 4.50000000000000028e-5 < x Initial program 99.0%
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 61.0%
associate-*r*61.0%
sub-neg61.0%
metadata-eval61.0%
Simplified61.0%
Taylor expanded in y around 0 59.5%
if -3.3000000000000003e-5 < x < 4.50000000000000028e-5Initial program 99.6%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around 0 99.0%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (<= x -5.5e-7)
(/
2.0
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -5.5e-7) {
tmp = 2.0 / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * 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 = sqrt(5.0d0) + (-1.0d0)
if (x <= (-5.5d-7)) then
tmp = 2.0d0 / (3.0d0 * ((1.0d0 + (cos(x) * (t_0 / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + ((6.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (1.5d0 * t_0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) + -1.0;
double tmp;
if (x <= -5.5e-7) {
tmp = 2.0 / (3.0 * ((1.0 + (Math.cos(x) * (t_0 / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + ((6.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) + -1.0 tmp = 0 if x <= -5.5e-7: tmp = 2.0 / (3.0 * ((1.0 + (math.cos(x) * (t_0 / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + ((6.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (1.5 * t_0))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -5.5e-7) tmp = Float64(2.0 / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) + -1.0; tmp = 0.0; if (x <= -5.5e-7) tmp = 2.0 / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -5.5e-7], N[(2.0 / 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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -5.5 \cdot 10^{-7}:\\
\;\;\;\;\frac{2}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t\_0\right)}\\
\end{array}
\end{array}
if x < -5.5000000000000003e-7Initial program 98.7%
add-cube-cbrt98.6%
pow398.6%
div-inv98.6%
metadata-eval98.6%
Applied egg-rr98.6%
Taylor expanded in x around 0 27.1%
Taylor expanded in y around 0 27.4%
if -5.5000000000000003e-7 < x Initial program 99.5%
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 75.9%
Taylor expanded in x around 0 75.1%
Final simplification63.0%
(FPCore (x y)
:precision binary64
(/
2.0
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return 2.0 / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 2.0d0 / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end function
public static double code(double x, double y) {
return 2.0 / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
def code(x, y): return 2.0 / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))))
function code(x, y) return Float64(2.0 / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
function tmp = code(x, y) tmp = 2.0 / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end
code[x_, y_] := N[(2.0 / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.3%
add-cube-cbrt99.3%
pow399.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
Taylor expanded in x around 0 64.7%
Taylor expanded in y around 0 45.3%
Final simplification45.3%
(FPCore (x y) :precision binary64 (let* ((t_0 (* (sqrt 5.0) 0.5))) (/ 0.6666666666666666 (+ 0.5 (+ t_0 (* (cos y) (- 1.5 t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return 0.6666666666666666 / (0.5 + (t_0 + (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) * 0.5d0
code = 0.6666666666666666d0 / (0.5d0 + (t_0 + (cos(y) * (1.5d0 - t_0))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return 0.6666666666666666 / (0.5 + (t_0 + (Math.cos(y) * (1.5 - t_0))));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return 0.6666666666666666 / (0.5 + (t_0 + (math.cos(y) * (1.5 - t_0))))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(0.6666666666666666 / Float64(0.5 + Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.6666666666666666 / (0.5 + (t_0 + (cos(y) * (1.5 - t_0)))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(0.6666666666666666 / N[(0.5 + N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\frac{0.6666666666666666}{0.5 + \left(t\_0 + \cos y \cdot \left(1.5 - t\_0\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 61.7%
associate-*r*61.7%
sub-neg61.7%
metadata-eval61.7%
Simplified61.7%
Taylor expanded in x around 0 34.8%
Taylor expanded in x around 0 34.5%
Taylor expanded in x around 0 42.5%
Final simplification42.5%
(FPCore (x y) :precision binary64 (* 0.16666666666666666 (+ 2.0 (* 0.03125 (* (sqrt 2.0) (pow x 4.0))))))
double code(double x, double y) {
return 0.16666666666666666 * (2.0 + (0.03125 * (sqrt(2.0) * pow(x, 4.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.16666666666666666d0 * (2.0d0 + (0.03125d0 * (sqrt(2.0d0) * (x ** 4.0d0))))
end function
public static double code(double x, double y) {
return 0.16666666666666666 * (2.0 + (0.03125 * (Math.sqrt(2.0) * Math.pow(x, 4.0))));
}
def code(x, y): return 0.16666666666666666 * (2.0 + (0.03125 * (math.sqrt(2.0) * math.pow(x, 4.0))))
function code(x, y) return Float64(0.16666666666666666 * Float64(2.0 + Float64(0.03125 * Float64(sqrt(2.0) * (x ^ 4.0))))) end
function tmp = code(x, y) tmp = 0.16666666666666666 * (2.0 + (0.03125 * (sqrt(2.0) * (x ^ 4.0)))); end
code[x_, y_] := N[(0.16666666666666666 * N[(2.0 + N[(0.03125 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.16666666666666666 \cdot \left(2 + 0.03125 \cdot \left(\sqrt{2} \cdot {x}^{4}\right)\right)
\end{array}
Initial program 99.3%
associate-*l*99.3%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.3%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 61.7%
associate-*r*61.7%
sub-neg61.7%
metadata-eval61.7%
Simplified61.7%
Taylor expanded in x around 0 34.8%
Taylor expanded in x around 0 34.5%
Taylor expanded in y around 0 32.4%
Final simplification32.4%
herbie shell --seed 2024185
(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))))))