
(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 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (sqrt 2.0) (+ (sin y) (* (sin x) -0.0625))))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (/ (+ (sqrt 5.0) -1.0) (/ 2.0 (cos x))))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))
double code(double x, double y) {
return (2.0 + (((sin(x) + (-0.0625 * sin(y))) * (sqrt(2.0) * (sin(y) + (sin(x) * -0.0625)))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + ((sqrt(5.0) + -1.0) / (2.0 / cos(x)))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sin(x) + ((-0.0625d0) * sin(y))) * (sqrt(2.0d0) * (sin(y) + (sin(x) * (-0.0625d0))))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) / (2.0d0 / cos(x)))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sin(x) + (-0.0625 * Math.sin(y))) * (Math.sqrt(2.0) * (Math.sin(y) + (Math.sin(x) * -0.0625)))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + ((Math.sqrt(5.0) + -1.0) / (2.0 / Math.cos(x)))) + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
}
def code(x, y): return (2.0 + (((math.sin(x) + (-0.0625 * math.sin(y))) * (math.sqrt(2.0) * (math.sin(y) + (math.sin(x) * -0.0625)))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + ((math.sqrt(5.0) + -1.0) / (2.0 / math.cos(x)))) + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(sqrt(2.0) * Float64(sin(y) + Float64(sin(x) * -0.0625)))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) / Float64(2.0 / cos(x)))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))) end
function tmp = code(x, y) tmp = (2.0 + (((sin(x) + (-0.0625 * sin(y))) * (sqrt(2.0) * (sin(y) + (sin(x) * -0.0625)))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + ((sqrt(5.0) + -1.0) / (2.0 / cos(x)))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $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[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / N[(2.0 / N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y + \sin x \cdot -0.0625\right)\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} + -1}{\frac{2}{\cos x}}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}
\end{array}
Initial program 99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
*-commutative99.3%
*-commutative99.3%
associate-*l*99.3%
*-commutative99.3%
cancel-sign-sub-inv99.3%
metadata-eval99.3%
*-commutative99.3%
cancel-sign-sub-inv99.3%
metadata-eval99.3%
Simplified99.3%
associate-*l/99.3%
sub-neg99.3%
metadata-eval99.3%
Applied egg-rr99.3%
metadata-eval99.3%
sub-neg99.3%
associate-/l*99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- (cos x) (cos y))))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + ((-0.0625d0) * sin(y))) * ((sin(y) + (sin(x) * (-0.0625d0))) * (cos(x) - cos(y)))))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0)))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * ((Math.sin(y) + (Math.sin(x) * -0.0625)) * (Math.cos(x) - Math.cos(y)))))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(x) + (-0.0625 * math.sin(y))) * ((math.sin(y) + (math.sin(x) * -0.0625)) * (math.cos(x) - math.cos(y)))))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(cos(x) - cos(y)))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}
\end{array}
Initial program 99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
*-commutative99.3%
*-commutative99.3%
associate-*l*99.3%
*-commutative99.3%
cancel-sign-sub-inv99.3%
metadata-eval99.3%
*-commutative99.3%
cancel-sign-sub-inv99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (sqrt 2.0) (+ (sin y) (* (sin x) -0.0625))))
(- (cos x) (cos y))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))))
double code(double x, double y) {
return (2.0 + (((sin(x) + (-0.0625 * sin(y))) * (sqrt(2.0) * (sin(y) + (sin(x) * -0.0625)))) * (cos(x) - cos(y)))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sin(x) + ((-0.0625d0) * sin(y))) * (sqrt(2.0d0) * (sin(y) + (sin(x) * (-0.0625d0))))) * (cos(x) - cos(y)))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0)))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sin(x) + (-0.0625 * Math.sin(y))) * (Math.sqrt(2.0) * (Math.sin(y) + (Math.sin(x) * -0.0625)))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0)))));
}
def code(x, y): return (2.0 + (((math.sin(x) + (-0.0625 * math.sin(y))) * (math.sqrt(2.0) * (math.sin(y) + (math.sin(x) * -0.0625)))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(sqrt(2.0) * Float64(sin(y) + Float64(sin(x) * -0.0625)))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (((sin(x) + (-0.0625 * sin(y))) * (sqrt(2.0) * (sin(y) + (sin(x) * -0.0625)))) * (cos(x) - cos(y)))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y + \sin x \cdot -0.0625\right)\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}
\end{array}
Initial program 99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
*-commutative99.3%
*-commutative99.3%
associate-*l*99.3%
*-commutative99.3%
cancel-sign-sub-inv99.3%
metadata-eval99.3%
*-commutative99.3%
cancel-sign-sub-inv99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(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 99.2%
associate-*l*99.2%
distribute-rgt-in99.3%
cos-neg99.3%
distribute-rgt-in99.2%
associate-+l+99.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
(t_1 (- (cos x) (cos y))))
(if (or (<= x -0.025) (not (<= x 5.8e-8)))
(/
(+ 2.0 (* t_1 (* (- (sin y) (/ (sin x) 16.0)) (* (sin x) (sqrt 2.0)))))
t_0)
(/
(+
2.0
(*
t_1
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (sqrt 2.0) (+ (sin y) (* x -0.0625))))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))));
double t_1 = cos(x) - cos(y);
double tmp;
if ((x <= -0.025) || !(x <= 5.8e-8)) {
tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sin(x) * sqrt(2.0))))) / t_0;
} else {
tmp = (2.0 + (t_1 * ((sin(x) + (-0.0625 * sin(y))) * (sqrt(2.0) * (sin(y) + (x * -0.0625)))))) / t_0;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))))
t_1 = cos(x) - cos(y)
if ((x <= (-0.025d0)) .or. (.not. (x <= 5.8d-8))) then
tmp = (2.0d0 + (t_1 * ((sin(y) - (sin(x) / 16.0d0)) * (sin(x) * sqrt(2.0d0))))) / t_0
else
tmp = (2.0d0 + (t_1 * ((sin(x) + ((-0.0625d0) * sin(y))) * (sqrt(2.0d0) * (sin(y) + (x * (-0.0625d0))))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))));
double t_1 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -0.025) || !(x <= 5.8e-8)) {
tmp = (2.0 + (t_1 * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sin(x) * Math.sqrt(2.0))))) / t_0;
} else {
tmp = (2.0 + (t_1 * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * (Math.sqrt(2.0) * (Math.sin(y) + (x * -0.0625)))))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)))) t_1 = math.cos(x) - math.cos(y) tmp = 0 if (x <= -0.025) or not (x <= 5.8e-8): tmp = (2.0 + (t_1 * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.sin(x) * math.sqrt(2.0))))) / t_0 else: tmp = (2.0 + (t_1 * ((math.sin(x) + (-0.0625 * math.sin(y))) * (math.sqrt(2.0) * (math.sin(y) + (x * -0.0625)))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))))) t_1 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -0.025) || !(x <= 5.8e-8)) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sin(x) * sqrt(2.0))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(sqrt(2.0) * Float64(sin(y) + Float64(x * -0.0625)))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))); t_1 = cos(x) - cos(y); tmp = 0.0; if ((x <= -0.025) || ~((x <= 5.8e-8))) tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sin(x) * sqrt(2.0))))) / t_0; else tmp = (2.0 + (t_1 * ((sin(x) + (-0.0625 * sin(y))) * (sqrt(2.0) * (sin(y) + (x * -0.0625)))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.025], N[Not[LessEqual[x, 5.8e-8]], $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[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)\\
t_1 := \cos x - \cos y\\
\mathbf{if}\;x \leq -0.025 \lor \neg \left(x \leq 5.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sin x \cdot \sqrt{2}\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y + x \cdot -0.0625\right)\right)\right)}{t_0}\\
\end{array}
\end{array}
if x < -0.025000000000000001 or 5.8000000000000003e-8 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around 0 56.3%
*-commutative56.3%
Simplified56.3%
if -0.025000000000000001 < x < 5.8000000000000003e-8Initial program 99.6%
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 inf 99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
associate-*l*99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.7%
Final simplification73.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0))) (t_1 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.007) (not (<= x 5.8e-8)))
(/
(+ 2.0 (* (- (cos x) (cos y)) (* t_0 (* (sin x) (sqrt 2.0)))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
(/
(+
2.0
(* (* (sqrt 2.0) (* (- (sin x) (/ (sin y) 16.0)) t_0)) (- 1.0 (cos y))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1)))))))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.007) || !(x <= 5.8e-8)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sin(x) * sqrt(2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * t_0)) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sin(y) - (sin(x) / 16.0d0)
t_1 = sqrt(5.0d0) / 2.0d0
if ((x <= (-0.007d0)) .or. (.not. (x <= 5.8d-8))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * (t_0 * (sin(x) * sqrt(2.0d0))))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0)))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * ((sin(x) - (sin(y) / 16.0d0)) * t_0)) * (1.0d0 - cos(y)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_1 - 0.5d0)) + (cos(y) * (1.5d0 - t_1)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_1 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.007) || !(x <= 5.8e-8)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (t_0 * (Math.sin(x) * Math.sqrt(2.0))))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0)))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * ((Math.sin(x) - (Math.sin(y) / 16.0)) * t_0)) * (1.0 - Math.cos(y)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_1 - 0.5)) + (Math.cos(y) * (1.5 - t_1)))));
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -0.007) or not (x <= 5.8e-8): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (t_0 * (math.sin(x) * math.sqrt(2.0))))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))))) else: tmp = (2.0 + ((math.sqrt(2.0) * ((math.sin(x) - (math.sin(y) / 16.0)) * t_0)) * (1.0 - math.cos(y)))) / (3.0 * (1.0 + ((math.cos(x) * (t_1 - 0.5)) + (math.cos(y) * (1.5 - t_1))))) return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.007) || !(x <= 5.8e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_0 * Float64(sin(x) * sqrt(2.0))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * t_0)) * Float64(1.0 - cos(y)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -0.007) || ~((x <= 5.8e-8))) tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sin(x) * sqrt(2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))))); else tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * t_0)) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1))))); end tmp_2 = 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[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.007], N[Not[LessEqual[x, 5.8e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.007 \lor \neg \left(x \leq 5.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(t_0 \cdot \left(\sin x \cdot \sqrt{2}\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot t_0\right)\right) \cdot \left(1 - \cos y\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)}\\
\end{array}
\end{array}
if x < -0.00700000000000000015 or 5.8000000000000003e-8 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around 0 56.3%
*-commutative56.3%
Simplified56.3%
if -0.00700000000000000015 < x < 5.8000000000000003e-8Initial program 99.6%
associate-*l*99.6%
distribute-rgt-in99.7%
cos-neg99.7%
distribute-rgt-in99.6%
associate-+l+99.6%
Simplified99.6%
Taylor expanded in x around 0 99.4%
Final simplification73.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_2 (- (cos x) (cos y))))
(if (or (<= x -0.0245) (not (<= x 5.8e-8)))
(/
(+ 2.0 (* t_2 (* t_0 (* (sin x) (sqrt 2.0)))))
(* 3.0 (+ (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)) t_1)))
(/
(+ 2.0 (* t_2 (* t_0 (* (sqrt 2.0) (+ x (* -0.0625 (sin y)))))))
(* 3.0 (+ t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_2 = cos(x) - cos(y);
double tmp;
if ((x <= -0.0245) || !(x <= 5.8e-8)) {
tmp = (2.0 + (t_2 * (t_0 * (sin(x) * sqrt(2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + t_1));
} else {
tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * (x + (-0.0625 * sin(y))))))) / (3.0 * (t_1 + (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) :: t_2
real(8) :: tmp
t_0 = sin(y) - (sin(x) / 16.0d0)
t_1 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
t_2 = cos(x) - cos(y)
if ((x <= (-0.0245d0)) .or. (.not. (x <= 5.8d-8))) then
tmp = (2.0d0 + (t_2 * (t_0 * (sin(x) * sqrt(2.0d0))))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + t_1))
else
tmp = (2.0d0 + (t_2 * (t_0 * (sqrt(2.0d0) * (x + ((-0.0625d0) * sin(y))))))) / (3.0d0 * (t_1 + (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.sin(y) - (Math.sin(x) / 16.0);
double t_1 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double t_2 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -0.0245) || !(x <= 5.8e-8)) {
tmp = (2.0 + (t_2 * (t_0 * (Math.sin(x) * Math.sqrt(2.0))))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + t_1));
} else {
tmp = (2.0 + (t_2 * (t_0 * (Math.sqrt(2.0) * (x + (-0.0625 * Math.sin(y))))))) / (3.0 * (t_1 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) t_2 = math.cos(x) - math.cos(y) tmp = 0 if (x <= -0.0245) or not (x <= 5.8e-8): tmp = (2.0 + (t_2 * (t_0 * (math.sin(x) * math.sqrt(2.0))))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + t_1)) else: tmp = (2.0 + (t_2 * (t_0 * (math.sqrt(2.0) * (x + (-0.0625 * math.sin(y))))))) / (3.0 * (t_1 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_2 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -0.0245) || !(x <= 5.8e-8)) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_0 * Float64(sin(x) * sqrt(2.0))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + t_1))); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(-0.0625 * sin(y))))))) / Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); t_2 = cos(x) - cos(y); tmp = 0.0; if ((x <= -0.0245) || ~((x <= 5.8e-8))) tmp = (2.0 + (t_2 * (t_0 * (sin(x) * sqrt(2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + t_1)); else tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * (x + (-0.0625 * sin(y))))))) / (3.0 * (t_1 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = 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[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0245], N[Not[LessEqual[x, 5.8e-8]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$2 * N[(t$95$0 * N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_2 := \cos x - \cos y\\
\mathbf{if}\;x \leq -0.0245 \lor \neg \left(x \leq 5.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + t_2 \cdot \left(t_0 \cdot \left(\sin x \cdot \sqrt{2}\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + t_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_2 \cdot \left(t_0 \cdot \left(\sqrt{2} \cdot \left(x + -0.0625 \cdot \sin y\right)\right)\right)}{3 \cdot \left(t_1 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -0.024500000000000001 or 5.8000000000000003e-8 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around 0 56.3%
*-commutative56.3%
Simplified56.3%
if -0.024500000000000001 < x < 5.8000000000000003e-8Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
metadata-eval99.6%
distribute-rgt-out99.6%
metadata-eval99.6%
Simplified99.6%
Final simplification73.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.000112) (not (<= x 5.8e-8)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (- (sin y) (/ (sin x) 16.0)) (* (sin x) (sqrt 2.0)))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ t_0 2.0))))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (- 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.000112) || !(x <= 5.8e-8)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sin(x) * sqrt(2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * (t_0 / 2.0)))));
} else {
tmp = fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (3.0 - sqrt(5.0))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.000112) || !(x <= 5.8e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sin(x) * sqrt(2.0))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0)))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.000112], N[Not[LessEqual[x, 5.8e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.000112 \lor \neg \left(x \leq 5.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sin x \cdot \sqrt{2}\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{t_0}{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if x < -1.11999999999999998e-4 or 5.8000000000000003e-8 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around 0 56.3%
*-commutative56.3%
Simplified56.3%
if -1.11999999999999998e-4 < x < 5.8000000000000003e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in x around 0 99.3%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around 0 99.3%
Final simplification73.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -0.000135) (not (<= x 5.8e-8)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (- (sin y) (/ (sin x) 16.0)) (* (sin x) (sqrt 2.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) (* (cos y) (/ t_1 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -0.000135) || !(x <= 5.8e-8)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sin(x) * sqrt(2.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * (t_1 / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * t_1))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -0.000135) || !(x <= 5.8e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sin(x) * sqrt(2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * 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[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.000135], N[Not[LessEqual[x, 5.8e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.000135 \lor \neg \left(x \leq 5.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sin x \cdot \sqrt{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{t_1}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot t_1\right)}\\
\end{array}
\end{array}
if x < -1.35000000000000002e-4 or 5.8000000000000003e-8 < x Initial program 98.9%
Taylor expanded in y around 0 56.3%
*-commutative56.3%
Simplified56.3%
if -1.35000000000000002e-4 < x < 5.8000000000000003e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in x around 0 99.3%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around 0 99.3%
Final simplification73.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (pow (sin x) 2.0)))
(if (<= x -0.00023)
(/
(+ 2.0 (* -0.0625 (* t_3 (* (sqrt 2.0) t_0))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ t_1 2.0))))))
(if (<= x 5.8e-8)
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ t_1 (* (cos y) t_2)))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_3 t_0)) 2.0)
(+ 3.0 (+ (* (cos y) (* 1.5 t_2)) (* 1.5 (* (cos x) t_1)))))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) + -1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = pow(sin(x), 2.0);
double tmp;
if (x <= -0.00023) {
tmp = (2.0 + (-0.0625 * (t_3 * (sqrt(2.0) * t_0)))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * (t_1 / 2.0)))));
} else if (x <= 5.8e-8) {
tmp = fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_1 + (cos(y) * t_2))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_3 * t_0)), 2.0) / (3.0 + ((cos(y) * (1.5 * t_2)) + (1.5 * (cos(x) * t_1))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -0.00023) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_3 * Float64(sqrt(2.0) * t_0)))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0)))))); elseif (x <= 5.8e-8) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_1 + Float64(cos(y) * t_2))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_3 * t_0)), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(1.5 * t_2)) + Float64(1.5 * Float64(cos(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[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -0.00023], N[(N[(2.0 + N[(-0.0625 * N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.8e-8], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(1.5 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \sqrt{5} + -1\\
t_2 := 3 - \sqrt{5}\\
t_3 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -0.00023:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t_3 \cdot \left(\sqrt{2} \cdot t_0\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{t_1}{2}\right)\right)}\\
\mathbf{elif}\;x \leq 5.8 \cdot 10^{-8}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t_1 + \cos y \cdot t_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_3 \cdot t_0\right), 2\right)}{3 + \left(\cos y \cdot \left(1.5 \cdot t_2\right) + 1.5 \cdot \left(\cos x \cdot t_1\right)\right)}\\
\end{array}
\end{array}
if x < -2.3000000000000001e-4Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around 0 54.4%
*-commutative54.4%
sub-neg54.4%
metadata-eval54.4%
Simplified54.4%
if -2.3000000000000001e-4 < x < 5.8000000000000003e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in x around 0 99.3%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around 0 99.3%
if 5.8000000000000003e-8 < x Initial program 98.9%
Simplified99.0%
fma-udef99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 50.3%
Final simplification71.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))
(if (or (<= y -0.019) (not (<= y 0.02)))
(/
(+
2.0
(* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)) t_0)))
(/
(+
2.0
(*
(+ (cos x) -1.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (+ (sin x) (* -0.0625 y))))))
(* 3.0 (+ t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double tmp;
if ((y <= -0.019) || !(y <= 0.02)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + t_0));
} else {
tmp = (2.0 + ((cos(x) + -1.0) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) + (-0.0625 * y)))))) / (3.0 * (t_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 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
if ((y <= (-0.019d0)) .or. (.not. (y <= 0.02d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((-0.0625d0) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + t_0))
else
tmp = (2.0d0 + ((cos(x) + (-1.0d0)) * ((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) + ((-0.0625d0) * y)))))) / (3.0d0 * (t_0 + (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 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double tmp;
if ((y <= -0.019) || !(y <= 0.02)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (-0.0625 * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + t_0));
} else {
tmp = (2.0 + ((Math.cos(x) + -1.0) * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) + (-0.0625 * y)))))) / (3.0 * (t_0 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) tmp = 0 if (y <= -0.019) or not (y <= 0.02): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (-0.0625 * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + t_0)) else: tmp = (2.0 + ((math.cos(x) + -1.0) * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) + (-0.0625 * y)))))) / (3.0 * (t_0 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) tmp = 0.0 if ((y <= -0.019) || !(y <= 0.02)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + t_0))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) + Float64(-0.0625 * y)))))) / Float64(3.0 * Float64(t_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 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); tmp = 0.0; if ((y <= -0.019) || ~((y <= 0.02))) tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + t_0)); else tmp = (2.0 + ((cos(x) + -1.0) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) + (-0.0625 * y)))))) / (3.0 * (t_0 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -0.019], N[Not[LessEqual[y, 0.02]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
\mathbf{if}\;y \leq -0.019 \lor \neg \left(y \leq 0.02\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + t_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x + -0.0625 \cdot y\right)\right)\right)}{3 \cdot \left(t_0 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if y < -0.0189999999999999995 or 0.0200000000000000004 < y Initial program 98.9%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around 0 48.8%
if -0.0189999999999999995 < y < 0.0200000000000000004Initial program 99.5%
Taylor expanded in y around 0 99.2%
+-commutative99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
*-commutative99.2%
Simplified99.2%
Taylor expanded in y around 0 99.0%
Final simplification71.0%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))))
(if (or (<= y -38000000000000.0) (not (<= y 0.0085)))
(/
(+
2.0
(* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
t_0)
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))));
double tmp;
if ((y <= -38000000000000.0) || !(y <= 0.0085)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / t_0;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = 3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))))
if ((y <= (-38000000000000.0d0)) .or. (.not. (y <= 0.0085d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((-0.0625d0) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / t_0
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))));
double tmp;
if ((y <= -38000000000000.0) || !(y <= 0.0085)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (-0.0625 * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)))) tmp = 0 if (y <= -38000000000000.0) or not (y <= 0.0085): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (-0.0625 * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / t_0 else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))))) tmp = 0.0 if ((y <= -38000000000000.0) || !(y <= 0.0085)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))); tmp = 0.0; if ((y <= -38000000000000.0) || ~((y <= 0.0085))) tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0; else tmp = (2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -38000000000000.0], N[Not[LessEqual[y, 0.0085]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $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] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)\\
\mathbf{if}\;y \leq -38000000000000 \lor \neg \left(y \leq 0.0085\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{t_0}\\
\end{array}
\end{array}
if y < -3.8e13 or 0.0085000000000000006 < y Initial program 98.9%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around 0 49.4%
if -3.8e13 < y < 0.0085000000000000006Initial program 99.4%
flip--99.4%
metadata-eval99.4%
pow1/299.4%
pow1/299.4%
pow-prod-up99.5%
metadata-eval99.5%
metadata-eval99.5%
metadata-eval99.5%
Applied egg-rr99.5%
+-commutative99.5%
Simplified99.5%
Taylor expanded in y around 0 96.6%
*-commutative96.6%
sub-neg96.6%
metadata-eval96.6%
Simplified96.6%
Final simplification70.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (pow (sin x) 2.0))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ t_2 2.0)))))))
(if (<= x -0.0015)
(/ (+ 2.0 (* -0.0625 (* t_1 (* (sqrt 2.0) t_0)))) t_3)
(if (<= x 5.8e-8)
(/
(+
2.0
(*
-0.0625
(* (- 0.5 (/ (cos (* 2.0 y)) 2.0)) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_3)
(/
(fma (sqrt 2.0) (* -0.0625 (* t_1 t_0)) 2.0)
(+
3.0
(+
(* (cos y) (* 1.5 (- 3.0 (sqrt 5.0))))
(* 1.5 (* (cos x) t_2)))))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * (t_2 / 2.0))));
double tmp;
if (x <= -0.0015) {
tmp = (2.0 + (-0.0625 * (t_1 * (sqrt(2.0) * t_0)))) / t_3;
} else if (x <= 5.8e-8) {
tmp = (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * y)) / 2.0)) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_3;
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_1 * t_0)), 2.0) / (3.0 + ((cos(y) * (1.5 * (3.0 - sqrt(5.0)))) + (1.5 * (cos(x) * t_2))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))))) tmp = 0.0 if (x <= -0.0015) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_1 * Float64(sqrt(2.0) * t_0)))) / t_3); elseif (x <= 5.8e-8) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_3); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_1 * t_0)), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(1.5 * Float64(3.0 - sqrt(5.0)))) + Float64(1.5 * Float64(cos(x) * t_2))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $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] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0015], N[(N[(2.0 + N[(-0.0625 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[x, 5.8e-8], N[(N[(2.0 + N[(-0.0625 * N[(N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(1.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := {\sin x}^{2}\\
t_2 := \sqrt{5} + -1\\
t_3 := 3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{t_2}{2}\right)\right)\\
\mathbf{if}\;x \leq -0.0015:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t_1 \cdot \left(\sqrt{2} \cdot t_0\right)\right)}{t_3}\\
\mathbf{elif}\;x \leq 5.8 \cdot 10^{-8}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right) \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_1 \cdot t_0\right), 2\right)}{3 + \left(\cos y \cdot \left(1.5 \cdot \left(3 - \sqrt{5}\right)\right) + 1.5 \cdot \left(\cos x \cdot t_2\right)\right)}\\
\end{array}
\end{array}
if x < -0.0015Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around 0 54.4%
*-commutative54.4%
sub-neg54.4%
metadata-eval54.4%
Simplified54.4%
if -0.0015 < x < 5.8000000000000003e-8Initial program 99.6%
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 98.7%
*-commutative98.7%
Simplified98.7%
unpow262.4%
sin-mult62.4%
Applied egg-rr98.7%
div-sub62.4%
+-inverses62.4%
cos-062.4%
metadata-eval62.4%
count-262.4%
*-commutative62.4%
Simplified98.7%
if 5.8000000000000003e-8 < x Initial program 98.9%
Simplified99.0%
fma-udef99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 50.3%
Final simplification70.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (pow (sin x) 2.0))
(t_3
(+
3.0
(+ (* (cos y) (* 1.5 (- 3.0 (sqrt 5.0)))) (* 1.5 (* (cos x) t_1))))))
(if (<= x -0.00145)
(/
(+ 2.0 (* -0.0625 (* t_2 (* (sqrt 2.0) t_0))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ t_1 2.0))))))
(if (<= x 5.8e-8)
(/
(fma (sqrt 2.0) (* (- 1.0 (cos y)) (* -0.0625 (pow (sin y) 2.0))) 2.0)
t_3)
(/ (fma (sqrt 2.0) (* -0.0625 (* t_2 t_0)) 2.0) t_3)))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) + -1.0;
double t_2 = pow(sin(x), 2.0);
double t_3 = 3.0 + ((cos(y) * (1.5 * (3.0 - sqrt(5.0)))) + (1.5 * (cos(x) * t_1)));
double tmp;
if (x <= -0.00145) {
tmp = (2.0 + (-0.0625 * (t_2 * (sqrt(2.0) * t_0)))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * (t_1 / 2.0)))));
} else if (x <= 5.8e-8) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * (-0.0625 * pow(sin(y), 2.0))), 2.0) / t_3;
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_2 * t_0)), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = sin(x) ^ 2.0 t_3 = Float64(3.0 + Float64(Float64(cos(y) * Float64(1.5 * Float64(3.0 - sqrt(5.0)))) + Float64(1.5 * Float64(cos(x) * t_1)))) tmp = 0.0 if (x <= -0.00145) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_2 * Float64(sqrt(2.0) * t_0)))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0)))))); elseif (x <= 5.8e-8) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * (sin(y) ^ 2.0))), 2.0) / t_3); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_2 * t_0)), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(1.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00145], N[(N[(2.0 + N[(-0.0625 * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.8e-8], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \sqrt{5} + -1\\
t_2 := {\sin x}^{2}\\
t_3 := 3 + \left(\cos y \cdot \left(1.5 \cdot \left(3 - \sqrt{5}\right)\right) + 1.5 \cdot \left(\cos x \cdot t_1\right)\right)\\
\mathbf{if}\;x \leq -0.00145:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t_2 \cdot \left(\sqrt{2} \cdot t_0\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{t_1}{2}\right)\right)}\\
\mathbf{elif}\;x \leq 5.8 \cdot 10^{-8}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot {\sin y}^{2}\right), 2\right)}{t_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_2 \cdot t_0\right), 2\right)}{t_3}\\
\end{array}
\end{array}
if x < -0.00145Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around 0 54.4%
*-commutative54.4%
sub-neg54.4%
metadata-eval54.4%
Simplified54.4%
if -0.00145 < x < 5.8000000000000003e-8Initial program 99.6%
Simplified99.7%
fma-udef99.7%
div-inv99.7%
metadata-eval99.7%
div-inv99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.7%
*-commutative98.7%
*-commutative98.7%
associate-*l*98.7%
Simplified98.7%
if 5.8000000000000003e-8 < x Initial program 98.9%
Simplified99.0%
fma-udef99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 50.3%
Final simplification70.8%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))))
(if (or (<= x -0.0015) (not (<= x 5.8e-8)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
t_0)
(/
(+
2.0
(*
-0.0625
(* (- 0.5 (/ (cos (* 2.0 y)) 2.0)) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))));
double tmp;
if ((x <= -0.0015) || !(x <= 5.8e-8)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * y)) / 2.0)) * (sqrt(2.0) * (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 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))))
if ((x <= (-0.0015d0)) .or. (.not. (x <= 5.8d-8))) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / t_0
else
tmp = (2.0d0 + ((-0.0625d0) * ((0.5d0 - (cos((2.0d0 * y)) / 2.0d0)) * (sqrt(2.0d0) * (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 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))));
double tmp;
if ((x <= -0.0015) || !(x <= 5.8e-8)) {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * ((0.5 - (Math.cos((2.0 * y)) / 2.0)) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)))) tmp = 0 if (x <= -0.0015) or not (x <= 5.8e-8): tmp = (2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / t_0 else: tmp = (2.0 + (-0.0625 * ((0.5 - (math.cos((2.0 * y)) / 2.0)) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))))) tmp = 0.0 if ((x <= -0.0015) || !(x <= 5.8e-8)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))); tmp = 0.0; if ((x <= -0.0015) || ~((x <= 5.8e-8))) tmp = (2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / t_0; else tmp = (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * y)) / 2.0)) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0015], N[Not[LessEqual[x, 5.8e-8]], $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] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)\\
\mathbf{if}\;x \leq -0.0015 \lor \neg \left(x \leq 5.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right) \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t_0}\\
\end{array}
\end{array}
if x < -0.0015 or 5.8000000000000003e-8 < x Initial program 98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around 0 52.2%
*-commutative52.2%
sub-neg52.2%
metadata-eval52.2%
Simplified52.2%
if -0.0015 < x < 5.8000000000000003e-8Initial program 99.6%
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 98.7%
*-commutative98.7%
Simplified98.7%
unpow262.4%
sin-mult62.4%
Applied egg-rr98.7%
div-sub62.4%
+-inverses62.4%
cos-062.4%
metadata-eval62.4%
count-262.4%
*-commutative62.4%
Simplified98.7%
Final simplification70.8%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
-0.0625
(* (- 0.5 (/ (cos (* 2.0 y)) 2.0)) (* (sqrt 2.0) (- 1.0 (cos y))))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * y)) / 2.0)) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((0.5d0 - (cos((2.0d0 * y)) / 2.0d0)) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0)))))
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * ((0.5 - (Math.cos((2.0 * y)) / 2.0)) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0)))));
}
def code(x, y): return (2.0 + (-0.0625 * ((0.5 - (math.cos((2.0 * y)) / 2.0)) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((0.5 - (cos((2.0 * y)) / 2.0)) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right) \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}
\end{array}
Initial program 99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around 0 55.2%
*-commutative55.2%
Simplified55.2%
unpow237.4%
sin-mult37.4%
Applied egg-rr55.2%
div-sub37.4%
+-inverses37.4%
cos-037.4%
metadata-eval37.4%
count-237.4%
*-commutative37.4%
Simplified55.2%
Final simplification55.2%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(*
3.0
(+
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) 0.5))))))
double code(double x, double y) {
return (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * 0.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 * ((cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0)) + (1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) * 0.5d0))))
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 * ((Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0)) + (1.0 + ((Math.sqrt(5.0) + -1.0) * 0.5))));
}
def code(x, y): return (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 * ((math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)) + (1.0 + ((math.sqrt(5.0) + -1.0) * 0.5))))
function code(x, y) return 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(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * 0.5))))) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * 0.5)))); end
code[x_, y_] := 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[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(\cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot 0.5\right)\right)}
\end{array}
Initial program 99.2%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around 0 55.2%
*-commutative55.2%
Simplified55.2%
Taylor expanded in x around 0 52.1%
Final simplification52.1%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))) -0.010416666666666666)))
double code(double x, double y) {
return 0.3333333333333333 + ((pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))) * -0.010416666666666666);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + (((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))) * (-0.010416666666666666d0))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + ((Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))) * -0.010416666666666666);
}
def code(x, y): return 0.3333333333333333 + ((math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))) * -0.010416666666666666)
function code(x, y) return Float64(0.3333333333333333 + Float64(Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))) * -0.010416666666666666)) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))) * -0.010416666666666666); end
code[x_, y_] := N[(0.3333333333333333 + N[(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] * -0.010416666666666666), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right) \cdot -0.010416666666666666
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in x around 0 52.6%
distribute-lft-out52.6%
sub-neg52.6%
metadata-eval52.6%
Simplified52.6%
Taylor expanded in y around 0 37.3%
Taylor expanded in y around 0 37.5%
distribute-rgt-in37.5%
metadata-eval37.5%
*-commutative37.5%
associate-*l*37.5%
*-commutative37.5%
sub-neg37.5%
metadata-eval37.5%
metadata-eval37.5%
Simplified37.5%
Final simplification37.5%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* -0.010416666666666666 (* (- 1.0 (cos y)) (* (sqrt 2.0) (- 0.5 (/ (cos (* 2.0 y)) 2.0)))))))
double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - cos(y)) * (sqrt(2.0) * (0.5 - (cos((2.0 * y)) / 2.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + ((-0.010416666666666666d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (0.5d0 - (cos((2.0d0 * y)) / 2.0d0)))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * (0.5 - (Math.cos((2.0 * y)) / 2.0)))));
}
def code(x, y): return 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * (0.5 - (math.cos((2.0 * y)) / 2.0)))))
function code(x, y) return Float64(0.3333333333333333 + Float64(-0.010416666666666666 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0)))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - cos(y)) * (sqrt(2.0) * (0.5 - (cos((2.0 * y)) / 2.0))))); end
code[x_, y_] := N[(0.3333333333333333 + N[(-0.010416666666666666 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + -0.010416666666666666 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)\right)
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in x around 0 52.6%
distribute-lft-out52.6%
sub-neg52.6%
metadata-eval52.6%
Simplified52.6%
Taylor expanded in y around 0 37.3%
Taylor expanded in x around 0 37.4%
distribute-rgt-in37.4%
metadata-eval37.4%
*-commutative37.4%
associate-*l*37.4%
associate-*r*37.4%
*-commutative37.4%
metadata-eval37.4%
Simplified37.4%
unpow237.4%
sin-mult37.4%
Applied egg-rr37.4%
div-sub37.4%
+-inverses37.4%
cos-037.4%
metadata-eval37.4%
count-237.4%
*-commutative37.4%
Simplified37.4%
Final simplification37.4%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* -0.010416666666666666 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow y 2.0))))))
double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(y, 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + ((-0.010416666666666666d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (y ** 2.0d0))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(y, 2.0))));
}
def code(x, y): return 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(y, 2.0))))
function code(x, y) return Float64(0.3333333333333333 + Float64(-0.010416666666666666 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (y ^ 2.0))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (-0.010416666666666666 * ((1.0 - cos(y)) * (sqrt(2.0) * (y ^ 2.0)))); end
code[x_, y_] := N[(0.3333333333333333 + N[(-0.010416666666666666 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[y, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + -0.010416666666666666 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {y}^{2}\right)\right)
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in x around 0 52.6%
distribute-lft-out52.6%
sub-neg52.6%
metadata-eval52.6%
Simplified52.6%
Taylor expanded in y around 0 37.3%
Taylor expanded in x around 0 37.4%
distribute-rgt-in37.4%
metadata-eval37.4%
*-commutative37.4%
associate-*l*37.4%
associate-*r*37.4%
*-commutative37.4%
metadata-eval37.4%
Simplified37.4%
Taylor expanded in y around 0 26.3%
Final simplification26.3%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* (sqrt 2.0) (* -0.005208333333333333 (pow y 4.0)))))
double code(double x, double y) {
return 0.3333333333333333 + (sqrt(2.0) * (-0.005208333333333333 * pow(y, 4.0)));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + (sqrt(2.0d0) * ((-0.005208333333333333d0) * (y ** 4.0d0)))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + (Math.sqrt(2.0) * (-0.005208333333333333 * Math.pow(y, 4.0)));
}
def code(x, y): return 0.3333333333333333 + (math.sqrt(2.0) * (-0.005208333333333333 * math.pow(y, 4.0)))
function code(x, y) return Float64(0.3333333333333333 + Float64(sqrt(2.0) * Float64(-0.005208333333333333 * (y ^ 4.0)))) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (sqrt(2.0) * (-0.005208333333333333 * (y ^ 4.0))); end
code[x_, y_] := N[(0.3333333333333333 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.005208333333333333 * N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + \sqrt{2} \cdot \left(-0.005208333333333333 \cdot {y}^{4}\right)
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in x around 0 52.6%
distribute-lft-out52.6%
sub-neg52.6%
metadata-eval52.6%
Simplified52.6%
Taylor expanded in y around 0 37.3%
Taylor expanded in x around 0 37.4%
distribute-rgt-in37.4%
metadata-eval37.4%
*-commutative37.4%
associate-*l*37.4%
associate-*r*37.4%
*-commutative37.4%
metadata-eval37.4%
Simplified37.4%
Taylor expanded in y around 0 26.3%
associate-*r*26.3%
Simplified26.3%
Final simplification26.3%
herbie shell --seed 2023322
(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))))))