
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(log1p
(expm1
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (sin x) (* (sin y) 0.0625))
(* (- (cos x) (cos y)) (- (sin y) (* (sin x) 0.0625))))))
(+
3.0
(*
3.0
(fma
(cos x)
(* (+ (sqrt 5.0) -1.0) 0.5)
(/ (cos y) (fma 0.5 (sqrt 5.0) 1.5)))))))))
double code(double x, double y) {
return log1p(expm1(((2.0 + (sqrt(2.0) * ((sin(x) - (sin(y) * 0.0625)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 + (3.0 * fma(cos(x), ((sqrt(5.0) + -1.0) * 0.5), (cos(y) / fma(0.5, sqrt(5.0), 1.5))))))));
}
function code(x, y) return log1p(expm1(Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) * 0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 + Float64(3.0 * fma(cos(x), Float64(Float64(sqrt(5.0) + -1.0) * 0.5), Float64(cos(y) / fma(0.5, sqrt(5.0), 1.5)))))))) end
code[x_, y_] := N[Log[1 + N[(Exp[N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]] - 1), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{2 + \sqrt{2} \cdot \left(\left(\sin x - \sin y \cdot 0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 + 3 \cdot \mathsf{fma}\left(\cos x, \left(\sqrt{5} + -1\right) \cdot 0.5, \frac{\cos y}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)}\right)\right)
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.2%
cos-neg99.2%
distribute-lft-in99.2%
associate-+l+99.2%
Simplified99.2%
fma-def99.2%
metadata-eval99.2%
div-sub99.2%
div-inv99.2%
sub-neg99.2%
metadata-eval99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
flip--99.1%
metadata-eval99.1%
Applied egg-rr99.1%
swap-sqr99.1%
cancel-sign-sub-inv99.1%
rem-square-sqrt99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
+-commutative99.3%
*-commutative99.3%
fma-def99.3%
Simplified99.3%
log1p-expm1-u99.3%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(* (- (sin x) (* (sin y) 0.0625)) (- (sin y) (* (sin x) 0.0625))))))
(+
3.0
(*
3.0
(fma
0.5
(* (cos x) (+ (sqrt 5.0) -1.0))
(/ (cos y) (fma 0.5 (sqrt 5.0) 1.5)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 + (3.0 * fma(0.5, (cos(x) * (sqrt(5.0) + -1.0)), (cos(y) / fma(0.5, sqrt(5.0), 1.5)))));
}
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) - Float64(sin(y) * 0.0625)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 + Float64(3.0 * fma(0.5, Float64(cos(x) * Float64(sqrt(5.0) + -1.0)), Float64(cos(y) / fma(0.5, sqrt(5.0), 1.5)))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(0.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\left(\sin x - \sin y \cdot 0.0625\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 + 3 \cdot \mathsf{fma}\left(0.5, \cos x \cdot \left(\sqrt{5} + -1\right), \frac{\cos y}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.2%
cos-neg99.2%
distribute-lft-in99.2%
associate-+l+99.2%
Simplified99.2%
fma-def99.2%
metadata-eval99.2%
div-sub99.2%
div-inv99.2%
sub-neg99.2%
metadata-eval99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
flip--99.1%
metadata-eval99.1%
Applied egg-rr99.1%
swap-sqr99.1%
cancel-sign-sub-inv99.1%
rem-square-sqrt99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
+-commutative99.3%
*-commutative99.3%
fma-def99.3%
Simplified99.3%
*-un-lft-identity99.3%
Applied egg-rr99.4%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0)))))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5))))))))
double code(double x, double y) {
return (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.2%
cos-neg99.2%
distribute-lft-in99.2%
associate-+l+99.2%
Simplified99.2%
flip--62.3%
metadata-eval62.3%
div-inv62.3%
metadata-eval62.3%
div-inv62.3%
metadata-eval62.3%
div-inv62.3%
metadata-eval62.3%
Applied egg-rr99.1%
swap-sqr62.3%
rem-square-sqrt62.3%
cancel-sign-sub-inv62.3%
metadata-eval62.3%
metadata-eval62.3%
metadata-eval62.3%
metadata-eval62.3%
+-commutative62.3%
*-commutative62.3%
fma-def62.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(* (- (sin x) (* (sin y) 0.0625)) (- (sin y) (* (sin x) 0.0625))))))
(+
1.0
(+
(* 0.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(/ (cos y) (+ 1.5 (* (sqrt 5.0) 0.5))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (1.0 + ((0.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (cos(y) / (1.5 + (sqrt(5.0) * 0.5))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625d0)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (1.0d0 + ((0.5d0 * (cos(x) * (sqrt(5.0d0) + (-1.0d0)))) + (cos(y) / (1.5d0 + (sqrt(5.0d0) * 0.5d0))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * ((Math.sin(x) - (Math.sin(y) * 0.0625)) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (1.0 + ((0.5 * (Math.cos(x) * (Math.sqrt(5.0) + -1.0))) + (Math.cos(y) / (1.5 + (Math.sqrt(5.0) * 0.5))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * ((math.sin(x) - (math.sin(y) * 0.0625)) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (1.0 + ((0.5 * (math.cos(x) * (math.sqrt(5.0) + -1.0))) + (math.cos(y) / (1.5 + (math.sqrt(5.0) * 0.5))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) - Float64(sin(y) * 0.0625)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(1.0 + Float64(Float64(0.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(cos(y) / Float64(1.5 + Float64(sqrt(5.0) * 0.5))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (1.0 + ((0.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (cos(y) / (1.5 + (sqrt(5.0) * 0.5)))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(0.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\left(\sin x - \sin y \cdot 0.0625\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{1 + \left(0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + \frac{\cos y}{1.5 + \sqrt{5} \cdot 0.5}\right)}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.2%
cos-neg99.2%
distribute-lft-in99.2%
associate-+l+99.2%
Simplified99.2%
fma-def99.2%
metadata-eval99.2%
div-sub99.2%
div-inv99.2%
sub-neg99.2%
metadata-eval99.2%
metadata-eval99.2%
div-inv99.2%
metadata-eval99.2%
Applied egg-rr99.2%
flip--99.1%
metadata-eval99.1%
Applied egg-rr99.1%
swap-sqr99.1%
cancel-sign-sub-inv99.1%
rem-square-sqrt99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
+-commutative99.3%
*-commutative99.3%
fma-def99.3%
Simplified99.3%
Taylor expanded in x around inf 99.1%
Final simplification99.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (cos x) (cos y)) (- (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 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((cos(x) - cos(y)) * (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 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * ((cos(x) - cos(y)) * (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.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * ((Math.cos(x) - Math.cos(y)) * (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.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * ((math.cos(x) - math.cos(y)) * (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(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(cos(x) - cos(y)) * 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 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((cos(x) - cos(y)) * (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[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\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-lft-in99.2%
cos-neg99.2%
distribute-lft-in99.2%
associate-+l+99.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(/
(+
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) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return (2.0 + ((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) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((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) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + ((Math.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) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
def code(x, y): return (2.0 + ((math.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) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
function tmp = code(x, y) 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) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * 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]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2 (* (cos x) (- t_1 0.5)))
(t_3 (- (cos x) (cos y))))
(if (<= x -0.046)
(/
(+ 2.0 (* (sin x) (* (sqrt 2.0) (* t_3 (- (sin y) (* (sin x) 0.0625))))))
(* 3.0 (+ 1.0 (+ t_2 (* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(if (<= x 0.07)
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_0)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+ 2.0 (* (* t_3 t_0) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ t_2 (* (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 t_2 = cos(x) * (t_1 - 0.5);
double t_3 = cos(x) - cos(y);
double tmp;
if (x <= -0.046) {
tmp = (2.0 + (sin(x) * (sqrt(2.0) * (t_3 * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 * (1.0 + (t_2 + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else if (x <= 0.07) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_0) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + ((t_3 * t_0) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + (t_2 + (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) t_2 = Float64(cos(x) * Float64(t_1 - 0.5)) t_3 = Float64(cos(x) - cos(y)) tmp = 0.0 if (x <= -0.046) tmp = Float64(Float64(2.0 + Float64(sin(x) * Float64(sqrt(2.0) * Float64(t_3 * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 * Float64(1.0 + Float64(t_2 + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); elseif (x <= 0.07) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_0) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(Float64(t_3 * t_0) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(t_2 + Float64(cos(y) * Float64(1.5 - t_1)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.046], N[(N[(2.0 + N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.07], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(t$95$3 * t$95$0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$2 + 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}\\
t_2 := \cos x \cdot \left(t_1 - 0.5\right)\\
t_3 := \cos x - \cos y\\
\mathbf{if}\;x \leq -0.046:\\
\;\;\;\;\frac{2 + \sin x \cdot \left(\sqrt{2} \cdot \left(t_3 \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 \cdot \left(1 + \left(t_2 + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{elif}\;x \leq 0.07:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_0\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(t_3 \cdot t_0\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(t_2 + \cos y \cdot \left(1.5 - t_1\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.045999999999999999Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.7%
Simplified98.7%
Taylor expanded in y around 0 68.1%
*-commutative68.1%
Simplified68.1%
flip--68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
Applied egg-rr68.0%
swap-sqr68.0%
rem-square-sqrt68.2%
cancel-sign-sub-inv68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
+-commutative68.2%
*-commutative68.2%
fma-def68.2%
Simplified68.2%
Taylor expanded in x around inf 68.2%
if -0.045999999999999999 < x < 0.070000000000000007Initial program 99.6%
Taylor expanded in x around 0 99.3%
associate--l+99.2%
unpow299.2%
Simplified99.3%
if 0.070000000000000007 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (- (sin y) (/ (sin x) 16.0)))
(t_3 (+ 2.0 (* (* (- (cos x) (cos y)) t_2) (* (sqrt 2.0) (sin x))))))
(if (<= x -0.051)
(/
t_3
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_1)) (* (cos x) (- t_1 0.5))))))
(if (<= x 0.062)
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_2)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
t_3
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sqrt(5.0) * 0.5;
double t_2 = sin(y) - (sin(x) / 16.0);
double t_3 = 2.0 + (((cos(x) - cos(y)) * t_2) * (sqrt(2.0) * sin(x)));
double tmp;
if (x <= -0.051) {
tmp = t_3 / (3.0 * (1.0 + ((cos(y) / (1.5 + t_1)) + (cos(x) * (t_1 - 0.5)))));
} else if (x <= 0.062) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = t_3 / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = sqrt(5.0d0) * 0.5d0
t_2 = sin(y) - (sin(x) / 16.0d0)
t_3 = 2.0d0 + (((cos(x) - cos(y)) * t_2) * (sqrt(2.0d0) * sin(x)))
if (x <= (-0.051d0)) then
tmp = t_3 / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_1)) + (cos(x) * (t_1 - 0.5d0)))))
else if (x <= 0.062d0) then
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_2) * (1.0d0 + (((-0.5d0) * (x * x)) - cos(y))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = t_3 / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.sqrt(5.0) * 0.5;
double t_2 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_3 = 2.0 + (((Math.cos(x) - Math.cos(y)) * t_2) * (Math.sqrt(2.0) * Math.sin(x)));
double tmp;
if (x <= -0.051) {
tmp = t_3 / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_1)) + (Math.cos(x) * (t_1 - 0.5)))));
} else if (x <= 0.062) {
tmp = (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - Math.cos(y))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else {
tmp = t_3 / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.sqrt(5.0) * 0.5 t_2 = math.sin(y) - (math.sin(x) / 16.0) t_3 = 2.0 + (((math.cos(x) - math.cos(y)) * t_2) * (math.sqrt(2.0) * math.sin(x))) tmp = 0 if x <= -0.051: tmp = t_3 / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_1)) + (math.cos(x) * (t_1 - 0.5))))) elif x <= 0.062: tmp = (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - math.cos(y))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) else: tmp = t_3 / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_3 = Float64(2.0 + Float64(Float64(Float64(cos(x) - cos(y)) * t_2) * Float64(sqrt(2.0) * sin(x)))) tmp = 0.0 if (x <= -0.051) tmp = Float64(t_3 / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_1)) + Float64(cos(x) * Float64(t_1 - 0.5)))))); elseif (x <= 0.062) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_2) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(t_3 / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sqrt(5.0) * 0.5; t_2 = sin(y) - (sin(x) / 16.0); t_3 = 2.0 + (((cos(x) - cos(y)) * t_2) * (sqrt(2.0) * sin(x))); tmp = 0.0; if (x <= -0.051) tmp = t_3 / (3.0 * (1.0 + ((cos(y) / (1.5 + t_1)) + (cos(x) * (t_1 - 0.5))))); elseif (x <= 0.062) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = t_3 / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.051], N[(t$95$3 / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.062], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \sin y - \frac{\sin x}{16}\\
t_3 := 2 + \left(\left(\cos x - \cos y\right) \cdot t_2\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\\
\mathbf{if}\;x \leq -0.051:\\
\;\;\;\;\frac{t_3}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_1} + \cos x \cdot \left(t_1 - 0.5\right)\right)\right)}\\
\mathbf{elif}\;x \leq 0.062:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_2\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_3}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0509999999999999967Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.7%
Simplified98.7%
Taylor expanded in y around 0 68.1%
*-commutative68.1%
Simplified68.1%
flip--68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
Applied egg-rr68.0%
swap-sqr68.0%
rem-square-sqrt68.2%
cancel-sign-sub-inv68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
+-commutative68.2%
*-commutative68.2%
fma-def68.2%
Simplified68.2%
Taylor expanded in x around inf 68.2%
if -0.0509999999999999967 < x < 0.062Initial program 99.6%
Taylor expanded in x around 0 99.3%
associate--l+99.2%
unpow299.2%
Simplified99.3%
if 0.062 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (- (cos x) (cos y)))
(t_2 (* (sqrt 5.0) 0.5))
(t_3 (- (sin y) (/ (sin x) 16.0)))
(t_4 (+ 2.0 (* (* t_1 t_3) (* (sqrt 2.0) (sin x))))))
(if (<= x -0.029)
(/
t_4
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_2)) (* (cos x) (- t_2 0.5))))))
(if (<= x 0.06)
(/
(+ 2.0 (* t_1 (* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_3)))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) (+ 0.5 (* (* x x) -0.25)))))))
(/
t_4
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = cos(x) - cos(y);
double t_2 = sqrt(5.0) * 0.5;
double t_3 = sin(y) - (sin(x) / 16.0);
double t_4 = 2.0 + ((t_1 * t_3) * (sqrt(2.0) * sin(x)));
double tmp;
if (x <= -0.029) {
tmp = t_4 / (3.0 * (1.0 + ((cos(y) / (1.5 + t_2)) + (cos(x) * (t_2 - 0.5)))));
} else if (x <= 0.06) {
tmp = (2.0 + (t_1 * ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_3))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
} else {
tmp = t_4 / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = cos(x) - cos(y)
t_2 = sqrt(5.0d0) * 0.5d0
t_3 = sin(y) - (sin(x) / 16.0d0)
t_4 = 2.0d0 + ((t_1 * t_3) * (sqrt(2.0d0) * sin(x)))
if (x <= (-0.029d0)) then
tmp = t_4 / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_2)) + (cos(x) * (t_2 - 0.5d0)))))
else if (x <= 0.06d0) then
tmp = (2.0d0 + (t_1 * ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_3))) / (3.0d0 * ((cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)) + (1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) * (0.5d0 + ((x * x) * (-0.25d0)))))))
else
tmp = t_4 / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.cos(x) - Math.cos(y);
double t_2 = Math.sqrt(5.0) * 0.5;
double t_3 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_4 = 2.0 + ((t_1 * t_3) * (Math.sqrt(2.0) * Math.sin(x)));
double tmp;
if (x <= -0.029) {
tmp = t_4 / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_2)) + (Math.cos(x) * (t_2 - 0.5)))));
} else if (x <= 0.06) {
tmp = (2.0 + (t_1 * ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_3))) / (3.0 * ((Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)) + (1.0 + ((Math.sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
} else {
tmp = t_4 / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.cos(x) - math.cos(y) t_2 = math.sqrt(5.0) * 0.5 t_3 = math.sin(y) - (math.sin(x) / 16.0) t_4 = 2.0 + ((t_1 * t_3) * (math.sqrt(2.0) * math.sin(x))) tmp = 0 if x <= -0.029: tmp = t_4 / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_2)) + (math.cos(x) * (t_2 - 0.5))))) elif x <= 0.06: tmp = (2.0 + (t_1 * ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * t_3))) / (3.0 * ((math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)) + (1.0 + ((math.sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25)))))) else: tmp = t_4 / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sqrt(5.0) * 0.5) t_3 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_4 = Float64(2.0 + Float64(Float64(t_1 * t_3) * Float64(sqrt(2.0) * sin(x)))) tmp = 0.0 if (x <= -0.029) tmp = Float64(t_4 / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_2)) + Float64(cos(x) * Float64(t_2 - 0.5)))))); elseif (x <= 0.06) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_3))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * Float64(0.5 + Float64(Float64(x * x) * -0.25))))))); else tmp = Float64(t_4 / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = cos(x) - cos(y); t_2 = sqrt(5.0) * 0.5; t_3 = sin(y) - (sin(x) / 16.0); t_4 = 2.0 + ((t_1 * t_3) * (sqrt(2.0) * sin(x))); tmp = 0.0; if (x <= -0.029) tmp = t_4 / (3.0 * (1.0 + ((cos(y) / (1.5 + t_2)) + (cos(x) * (t_2 - 0.5))))); elseif (x <= 0.06) tmp = (2.0 + (t_1 * ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_3))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25)))))); else tmp = t_4 / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(2.0 + N[(N[(t$95$1 * t$95$3), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.029], N[(t$95$4 / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.06], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$4 / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \cos x - \cos y\\
t_2 := \sqrt{5} \cdot 0.5\\
t_3 := \sin y - \frac{\sin x}{16}\\
t_4 := 2 + \left(t_1 \cdot t_3\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\\
\mathbf{if}\;x \leq -0.029:\\
\;\;\;\;\frac{t_4}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_2} + \cos x \cdot \left(t_2 - 0.5\right)\right)\right)}\\
\mathbf{elif}\;x \leq 0.06:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_3\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot -0.25\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_4}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0290000000000000015Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.7%
Simplified98.7%
Taylor expanded in y around 0 68.1%
*-commutative68.1%
Simplified68.1%
flip--68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
Applied egg-rr68.0%
swap-sqr68.0%
rem-square-sqrt68.2%
cancel-sign-sub-inv68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
+-commutative68.2%
*-commutative68.2%
fma-def68.2%
Simplified68.2%
Taylor expanded in x around inf 68.2%
if -0.0290000000000000015 < x < 0.059999999999999998Initial program 99.6%
Taylor expanded in x around 0 99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
sub-neg99.2%
metadata-eval99.2%
*-commutative99.2%
unpow299.2%
Simplified99.2%
if 0.059999999999999998 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.04) (not (<= x 0.017)))
(/
(+ 2.0 (* (* (- (cos x) (cos y)) t_1) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_1)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) (+ 0.5 (* (* x x) -0.25))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.04) || !(x <= 0.017)) {
tmp = (2.0 + (((cos(x) - cos(y)) * t_1) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.04d0)) .or. (.not. (x <= 0.017d0))) then
tmp = (2.0d0 + (((cos(x) - cos(y)) * t_1) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0)))))
else
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_1) * (1.0d0 + (((-0.5d0) * (x * x)) - cos(y))))) / (3.0d0 * ((cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)) + (1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) * (0.5d0 + ((x * x) * (-0.25d0)))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.04) || !(x <= 0.017)) {
tmp = (2.0 + (((Math.cos(x) - Math.cos(y)) * t_1) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - Math.cos(y))))) / (3.0 * ((Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)) + (1.0 + ((Math.sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.04) or not (x <= 0.017): tmp = (2.0 + (((math.cos(x) - math.cos(y)) * t_1) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5))))) else: tmp = (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - math.cos(y))))) / (3.0 * ((math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)) + (1.0 + ((math.sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25)))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.04) || !(x <= 0.017)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(cos(x) - cos(y)) * t_1) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_1) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * Float64(0.5 + Float64(Float64(x * x) * -0.25))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.04) || ~((x <= 0.017))) tmp = (2.0 + (((cos(x) - cos(y)) * t_1) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))))); else tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.04], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.04 \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{2 + \left(\left(\cos x - \cos y\right) \cdot t_1\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_1\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot -0.25\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0400000000000000008 or 0.017000000000000001 < x Initial program 99.0%
associate-*l*98.9%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.9%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 61.9%
*-commutative61.9%
Simplified61.9%
flip--61.8%
metadata-eval61.8%
div-inv61.8%
metadata-eval61.8%
div-inv61.8%
metadata-eval61.8%
div-inv61.8%
metadata-eval61.8%
Applied egg-rr61.8%
swap-sqr61.8%
rem-square-sqrt61.9%
cancel-sign-sub-inv61.9%
metadata-eval61.9%
metadata-eval61.9%
metadata-eval61.9%
metadata-eval61.9%
+-commutative61.9%
*-commutative61.9%
fma-def61.9%
Simplified61.9%
Taylor expanded in x around inf 61.9%
if -0.0400000000000000008 < x < 0.017000000000000001Initial program 99.6%
Taylor expanded in x around 0 99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
sub-neg99.2%
metadata-eval99.2%
*-commutative99.2%
unpow299.2%
Simplified99.2%
Taylor expanded in x around 0 99.2%
associate--l+99.2%
unpow299.2%
Simplified99.2%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (- (sin y) (/ (sin x) 16.0)))
(t_3 (+ 2.0 (* (* (- (cos x) (cos y)) t_2) (* (sqrt 2.0) (sin x))))))
(if (<= x -0.029)
(/
t_3
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_1)) (* (cos x) (- t_1 0.5))))))
(if (<= x 0.0078)
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_2)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) (+ 0.5 (* (* x x) -0.25)))))))
(/
t_3
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sqrt(5.0) * 0.5;
double t_2 = sin(y) - (sin(x) / 16.0);
double t_3 = 2.0 + (((cos(x) - cos(y)) * t_2) * (sqrt(2.0) * sin(x)));
double tmp;
if (x <= -0.029) {
tmp = t_3 / (3.0 * (1.0 + ((cos(y) / (1.5 + t_1)) + (cos(x) * (t_1 - 0.5)))));
} else if (x <= 0.0078) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
} else {
tmp = t_3 / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = sqrt(5.0d0) * 0.5d0
t_2 = sin(y) - (sin(x) / 16.0d0)
t_3 = 2.0d0 + (((cos(x) - cos(y)) * t_2) * (sqrt(2.0d0) * sin(x)))
if (x <= (-0.029d0)) then
tmp = t_3 / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_1)) + (cos(x) * (t_1 - 0.5d0)))))
else if (x <= 0.0078d0) then
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_2) * (1.0d0 + (((-0.5d0) * (x * x)) - cos(y))))) / (3.0d0 * ((cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)) + (1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) * (0.5d0 + ((x * x) * (-0.25d0)))))))
else
tmp = t_3 / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.sqrt(5.0) * 0.5;
double t_2 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_3 = 2.0 + (((Math.cos(x) - Math.cos(y)) * t_2) * (Math.sqrt(2.0) * Math.sin(x)));
double tmp;
if (x <= -0.029) {
tmp = t_3 / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_1)) + (Math.cos(x) * (t_1 - 0.5)))));
} else if (x <= 0.0078) {
tmp = (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - Math.cos(y))))) / (3.0 * ((Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)) + (1.0 + ((Math.sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
} else {
tmp = t_3 / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.sqrt(5.0) * 0.5 t_2 = math.sin(y) - (math.sin(x) / 16.0) t_3 = 2.0 + (((math.cos(x) - math.cos(y)) * t_2) * (math.sqrt(2.0) * math.sin(x))) tmp = 0 if x <= -0.029: tmp = t_3 / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_1)) + (math.cos(x) * (t_1 - 0.5))))) elif x <= 0.0078: tmp = (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - math.cos(y))))) / (3.0 * ((math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)) + (1.0 + ((math.sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25)))))) else: tmp = t_3 / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_3 = Float64(2.0 + Float64(Float64(Float64(cos(x) - cos(y)) * t_2) * Float64(sqrt(2.0) * sin(x)))) tmp = 0.0 if (x <= -0.029) tmp = Float64(t_3 / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_1)) + Float64(cos(x) * Float64(t_1 - 0.5)))))); elseif (x <= 0.0078) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_2) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * Float64(0.5 + Float64(Float64(x * x) * -0.25))))))); else tmp = Float64(t_3 / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sqrt(5.0) * 0.5; t_2 = sin(y) - (sin(x) / 16.0); t_3 = 2.0 + (((cos(x) - cos(y)) * t_2) * (sqrt(2.0) * sin(x))); tmp = 0.0; if (x <= -0.029) tmp = t_3 / (3.0 * (1.0 + ((cos(y) / (1.5 + t_1)) + (cos(x) * (t_1 - 0.5))))); elseif (x <= 0.0078) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_2) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25)))))); else tmp = t_3 / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.029], N[(t$95$3 / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0078], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \sin y - \frac{\sin x}{16}\\
t_3 := 2 + \left(\left(\cos x - \cos y\right) \cdot t_2\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\\
\mathbf{if}\;x \leq -0.029:\\
\;\;\;\;\frac{t_3}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_1} + \cos x \cdot \left(t_1 - 0.5\right)\right)\right)}\\
\mathbf{elif}\;x \leq 0.0078:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_2\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot -0.25\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_3}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0290000000000000015Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.7%
Simplified98.7%
Taylor expanded in y around 0 68.1%
*-commutative68.1%
Simplified68.1%
flip--68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
Applied egg-rr68.0%
swap-sqr68.0%
rem-square-sqrt68.2%
cancel-sign-sub-inv68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
+-commutative68.2%
*-commutative68.2%
fma-def68.2%
Simplified68.2%
Taylor expanded in x around inf 68.2%
if -0.0290000000000000015 < x < 0.0077999999999999996Initial program 99.6%
Taylor expanded in x around 0 99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
sub-neg99.2%
metadata-eval99.2%
*-commutative99.2%
unpow299.2%
Simplified99.2%
Taylor expanded in x around 0 99.2%
associate--l+99.2%
unpow299.2%
Simplified99.2%
if 0.0077999999999999996 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2 (* (cos x) (- t_1 0.5))))
(if (<= x -0.029)
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
(* 3.0 (+ 1.0 (+ t_2 (* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(if (<= x 0.0078)
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_0)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) (+ 0.5 (* (* x x) -0.25)))))))
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* t_0 (+ (cos x) -1.0))))
(* 3.0 (+ 1.0 (+ t_2 (* (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 t_2 = cos(x) * (t_1 - 0.5);
double tmp;
if (x <= -0.029) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / (3.0 * (1.0 + (t_2 + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else if (x <= 0.0078) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_0) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
} else {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * (t_0 * (cos(x) + -1.0)))) / (3.0 * (1.0 + (t_2 + (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) t_2 = Float64(cos(x) * Float64(t_1 - 0.5)) tmp = 0.0 if (x <= -0.029) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / Float64(3.0 * Float64(1.0 + Float64(t_2 + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); elseif (x <= 0.0078) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_0) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * Float64(0.5 + Float64(Float64(x * x) * -0.25))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(t_0 * Float64(cos(x) + -1.0)))) / Float64(3.0 * Float64(1.0 + Float64(t_2 + Float64(cos(y) * Float64(1.5 - t_1)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.029], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0078], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$2 + 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}\\
t_2 := \cos x \cdot \left(t_1 - 0.5\right)\\
\mathbf{if}\;x \leq -0.029:\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(t_2 + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{elif}\;x \leq 0.0078:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_0\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot -0.25\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(t_0 \cdot \left(\cos x + -1\right)\right)}{3 \cdot \left(1 + \left(t_2 + \cos y \cdot \left(1.5 - t_1\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0290000000000000015Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.7%
Simplified98.7%
Taylor expanded in y around 0 68.1%
*-commutative68.1%
Simplified68.1%
flip--68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
Applied egg-rr68.0%
swap-sqr68.0%
rem-square-sqrt68.2%
cancel-sign-sub-inv68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
+-commutative68.2%
*-commutative68.2%
fma-def68.2%
Simplified68.2%
Taylor expanded in y around 0 65.9%
*-commutative65.9%
associate-*l*65.9%
associate-*r*65.9%
*-commutative65.9%
sub-neg65.9%
metadata-eval65.9%
distribute-lft-in65.9%
metadata-eval65.9%
Simplified65.9%
if -0.0290000000000000015 < x < 0.0077999999999999996Initial program 99.6%
Taylor expanded in x around 0 99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
sub-neg99.2%
metadata-eval99.2%
*-commutative99.2%
unpow299.2%
Simplified99.2%
Taylor expanded in x around 0 99.2%
associate--l+99.2%
unpow299.2%
Simplified99.2%
if 0.0077999999999999996 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Taylor expanded in y around 0 53.4%
Final simplification77.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (cos x) (- t_0 0.5)))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (<= x -0.029)
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
(* 3.0 (+ 1.0 (+ t_1 (* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(if (<= x 0.0136)
(/
(+
2.0
(*
(- (cos x) (cos y))
(* t_2 (* (sqrt 2.0) (+ x (* (sin y) -0.0625))))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) (+ 0.5 (* (* x x) -0.25)))))))
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* t_2 (+ (cos x) -1.0))))
(* 3.0 (+ 1.0 (+ t_1 (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = cos(x) * (t_0 - 0.5);
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if (x <= -0.029) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / (3.0 * (1.0 + (t_1 + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else if (x <= 0.0136) {
tmp = (2.0 + ((cos(x) - cos(y)) * (t_2 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * (0.5 + ((x * x) * -0.25))))));
} else {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * (t_2 * (cos(x) + -1.0)))) / (3.0 * (1.0 + (t_1 + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(cos(x) * Float64(t_0 - 0.5)) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if (x <= -0.029) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / Float64(3.0 * Float64(1.0 + Float64(t_1 + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); elseif (x <= 0.0136) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_2 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * Float64(0.5 + Float64(Float64(x * x) * -0.25))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(t_2 * Float64(cos(x) + -1.0)))) / Float64(3.0 * Float64(1.0 + Float64(t_1 + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.029], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0136], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \cos x \cdot \left(t_0 - 0.5\right)\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.029:\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(t_1 + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{elif}\;x \leq 0.0136:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(t_2 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot -0.25\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(t_2 \cdot \left(\cos x + -1\right)\right)}{3 \cdot \left(1 + \left(t_1 + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0290000000000000015Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.7%
Simplified98.7%
Taylor expanded in y around 0 68.1%
*-commutative68.1%
Simplified68.1%
flip--68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
div-inv68.0%
metadata-eval68.0%
Applied egg-rr68.0%
swap-sqr68.0%
rem-square-sqrt68.2%
cancel-sign-sub-inv68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
metadata-eval68.2%
+-commutative68.2%
*-commutative68.2%
fma-def68.2%
Simplified68.2%
Taylor expanded in y around 0 65.9%
*-commutative65.9%
associate-*l*65.9%
associate-*r*65.9%
*-commutative65.9%
sub-neg65.9%
metadata-eval65.9%
distribute-lft-in65.9%
metadata-eval65.9%
Simplified65.9%
if -0.0290000000000000015 < x < 0.0135999999999999992Initial program 99.6%
Taylor expanded in x around 0 99.2%
associate-*r*99.2%
distribute-rgt-out99.2%
sub-neg99.2%
metadata-eval99.2%
*-commutative99.2%
unpow299.2%
Simplified99.2%
Taylor expanded in x around 0 99.1%
associate-*r*98.6%
metadata-eval98.6%
distribute-rgt-out98.6%
metadata-eval98.6%
Simplified99.1%
if 0.0135999999999999992 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Taylor expanded in y around 0 53.4%
Final simplification77.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (cos x) (- t_0 0.5)))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (<= x -6.6e-6)
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
(* 3.0 (+ 1.0 (+ t_1 (* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(if (<= x 8.5e-5)
(/
(+
2.0
(* (* (sqrt 2.0) (+ x (* (sin y) -0.0625))) (* t_2 (- 1.0 (cos y)))))
(*
3.0
(+
1.0
(+
(* (+ (sqrt 5.0) -1.0) 0.5)
(* (cos y) (- 1.5 (* (sqrt 5.0) 0.5)))))))
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* t_2 (+ (cos x) -1.0))))
(* 3.0 (+ 1.0 (+ t_1 (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = cos(x) * (t_0 - 0.5);
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if (x <= -6.6e-6) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / (3.0 * (1.0 + (t_1 + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else if (x <= 8.5e-5) {
tmp = (2.0 + ((sqrt(2.0) * (x + (sin(y) * -0.0625))) * (t_2 * (1.0 - cos(y))))) / (3.0 * (1.0 + (((sqrt(5.0) + -1.0) * 0.5) + (cos(y) * (1.5 - (sqrt(5.0) * 0.5))))));
} else {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * (t_2 * (cos(x) + -1.0)))) / (3.0 * (1.0 + (t_1 + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(cos(x) * Float64(t_0 - 0.5)) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if (x <= -6.6e-6) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / Float64(3.0 * Float64(1.0 + Float64(t_1 + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); elseif (x <= 8.5e-5) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625))) * Float64(t_2 * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) + -1.0) * 0.5) + Float64(cos(y) * Float64(1.5 - Float64(sqrt(5.0) * 0.5))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(t_2 * Float64(cos(x) + -1.0)))) / Float64(3.0 * Float64(1.0 + Float64(t_1 + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -6.6e-6], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8.5e-5], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \cos x \cdot \left(t_0 - 0.5\right)\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -6.6 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(t_1 + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{elif}\;x \leq 8.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right) \cdot \left(t_2 \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(\sqrt{5} + -1\right) \cdot 0.5 + \cos y \cdot \left(1.5 - \sqrt{5} \cdot 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(t_2 \cdot \left(\cos x + -1\right)\right)}{3 \cdot \left(1 + \left(t_1 + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if x < -6.60000000000000034e-6Initial program 98.9%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
associate-+l+98.8%
Simplified98.8%
Taylor expanded in y around 0 68.5%
*-commutative68.5%
Simplified68.5%
flip--68.4%
metadata-eval68.4%
div-inv68.4%
metadata-eval68.4%
div-inv68.4%
metadata-eval68.4%
div-inv68.4%
metadata-eval68.4%
Applied egg-rr68.4%
swap-sqr68.4%
rem-square-sqrt68.6%
cancel-sign-sub-inv68.6%
metadata-eval68.6%
metadata-eval68.6%
metadata-eval68.6%
metadata-eval68.6%
+-commutative68.6%
*-commutative68.6%
fma-def68.6%
Simplified68.6%
Taylor expanded in y around 0 66.4%
*-commutative66.4%
associate-*l*66.4%
associate-*r*66.4%
*-commutative66.4%
sub-neg66.4%
metadata-eval66.4%
distribute-lft-in66.4%
metadata-eval66.4%
Simplified66.4%
if -6.60000000000000034e-6 < x < 8.500000000000001e-5Initial program 99.6%
associate-*l*99.6%
distribute-lft-in99.6%
cos-neg99.6%
distribute-lft-in99.6%
associate-+l+99.5%
Simplified99.5%
fma-def99.5%
metadata-eval99.5%
div-sub99.5%
div-inv99.5%
sub-neg99.5%
metadata-eval99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0 99.5%
Taylor expanded in x around 0 99.5%
associate-*r*99.5%
metadata-eval99.5%
distribute-rgt-out99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in x around 0 99.5%
if 8.500000000000001e-5 < x Initial program 99.0%
associate-*l*99.1%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.1%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 56.7%
*-commutative56.7%
Simplified56.7%
Taylor expanded in y around 0 53.4%
Final simplification77.6%
(FPCore (x y)
:precision binary64
(if (or (<= x -6e-6) (not (<= x 0.000245)))
(/
(+ 2.0 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* (cos x) -0.0625)))))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (+ x (* (sin y) -0.0625)))
(* (- (sin y) (/ (sin x) 16.0)) (- 1.0 (cos y)))))
(*
3.0
(+
1.0
(+
(* (+ (sqrt 5.0) -1.0) 0.5)
(* (cos y) (- 1.5 (* (sqrt 5.0) 0.5)))))))))
double code(double x, double y) {
double tmp;
if ((x <= -6e-6) || !(x <= 0.000245)) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (cos(x) * -0.0625))))) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (x + (sin(y) * -0.0625))) * ((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))))) / (3.0 * (1.0 + (((sqrt(5.0) + -1.0) * 0.5) + (cos(y) * (1.5 - (sqrt(5.0) * 0.5))))));
}
return tmp;
}
function code(x, y) tmp = 0.0 if ((x <= -6e-6) || !(x <= 0.000245)) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(cos(x) * -0.0625))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) + -1.0) * 0.5) + Float64(cos(y) * Float64(1.5 - Float64(sqrt(5.0) * 0.5))))))); end return tmp end
code[x_, y_] := If[Or[LessEqual[x, -6e-6], N[Not[LessEqual[x, 0.000245]], $MachinePrecision]], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(N[Cos[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -6 \cdot 10^{-6} \lor \neg \left(x \leq 0.000245\right):\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + \cos x \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(\sqrt{5} + -1\right) \cdot 0.5 + \cos y \cdot \left(1.5 - \sqrt{5} \cdot 0.5\right)\right)\right)}\\
\end{array}
\end{array}
if x < -6.0000000000000002e-6 or 2.4499999999999999e-4 < x Initial program 99.0%
associate-*l*99.0%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.0%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 62.2%
*-commutative62.2%
Simplified62.2%
flip--62.1%
metadata-eval62.1%
div-inv62.1%
metadata-eval62.1%
div-inv62.1%
metadata-eval62.1%
div-inv62.1%
metadata-eval62.1%
Applied egg-rr62.1%
swap-sqr62.1%
rem-square-sqrt62.2%
cancel-sign-sub-inv62.2%
metadata-eval62.2%
metadata-eval62.2%
metadata-eval62.2%
metadata-eval62.2%
+-commutative62.2%
*-commutative62.2%
fma-def62.2%
Simplified62.2%
Taylor expanded in y around 0 58.9%
*-commutative58.9%
associate-*l*58.9%
associate-*r*58.9%
*-commutative58.9%
sub-neg58.9%
metadata-eval58.9%
distribute-lft-in58.9%
metadata-eval58.9%
Simplified58.9%
if -6.0000000000000002e-6 < x < 2.4499999999999999e-4Initial program 99.6%
associate-*l*99.6%
distribute-lft-in99.6%
cos-neg99.6%
distribute-lft-in99.6%
associate-+l+99.5%
Simplified99.5%
fma-def99.5%
metadata-eval99.5%
div-sub99.5%
div-inv99.5%
sub-neg99.5%
metadata-eval99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0 99.5%
Taylor expanded in x around 0 99.5%
associate-*r*99.5%
metadata-eval99.5%
distribute-rgt-out99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in x around 0 99.5%
Final simplification77.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -6.6e-6) (not (<= x 0.00034)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (+ (* 0.5 (* (cos x) t_1)) (/ 1.0 (+ 1.5 t_0))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (+ x (* (sin y) -0.0625)))
(* (- (sin y) (/ (sin x) 16.0)) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (+ (* t_1 0.5) (* (cos y) (- 1.5 t_0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -6.6e-6) || !(x <= 0.00034)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((0.5 * (cos(x) * t_1)) + (1.0 / (1.5 + t_0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (x + (sin(y) * -0.0625))) * ((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_1 * 0.5) + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-6.6d-6)) .or. (.not. (x <= 0.00034d0))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + ((0.5d0 * (cos(x) * t_1)) + (1.0d0 / (1.5d0 + t_0)))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0)))) * ((sin(y) - (sin(x) / 16.0d0)) * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((t_1 * 0.5d0) + (cos(y) * (1.5d0 - t_0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = Math.sqrt(5.0) + -1.0;
double tmp;
if ((x <= -6.6e-6) || !(x <= 0.00034)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + ((0.5 * (Math.cos(x) * t_1)) + (1.0 / (1.5 + t_0)))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625))) * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((t_1 * 0.5) + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.sqrt(5.0) + -1.0 tmp = 0 if (x <= -6.6e-6) or not (x <= 0.00034): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + ((0.5 * (math.cos(x) * t_1)) + (1.0 / (1.5 + t_0))))) else: tmp = (2.0 + ((math.sqrt(2.0) * (x + (math.sin(y) * -0.0625))) * ((math.sin(y) - (math.sin(x) / 16.0)) * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((t_1 * 0.5) + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -6.6e-6) || !(x <= 0.00034)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(0.5 * Float64(cos(x) * t_1)) + Float64(1.0 / Float64(1.5 + t_0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_1 * 0.5) + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = sqrt(5.0) + -1.0; tmp = 0.0; if ((x <= -6.6e-6) || ~((x <= 0.00034))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((0.5 * (cos(x) * t_1)) + (1.0 / (1.5 + t_0))))); else tmp = (2.0 + ((sqrt(2.0) * (x + (sin(y) * -0.0625))) * ((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_1 * 0.5) + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -6.6e-6], N[Not[LessEqual[x, 0.00034]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(0.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$1 * 0.5), $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 := \sqrt{5} \cdot 0.5\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -6.6 \cdot 10^{-6} \lor \neg \left(x \leq 0.00034\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(0.5 \cdot \left(\cos x \cdot t_1\right) + \frac{1}{1.5 + t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(t_1 \cdot 0.5 + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if x < -6.60000000000000034e-6 or 3.4e-4 < x Initial program 99.0%
associate-*l*99.0%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.0%
associate-+l+98.9%
Simplified98.9%
fma-def98.9%
metadata-eval98.9%
div-sub98.9%
div-inv98.9%
sub-neg98.9%
metadata-eval98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
flip--98.8%
metadata-eval98.8%
Applied egg-rr98.8%
swap-sqr98.8%
cancel-sign-sub-inv98.8%
rem-square-sqrt99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
+-commutative99.1%
*-commutative99.1%
fma-def99.1%
Simplified99.1%
Taylor expanded in y around 0 57.8%
if -6.60000000000000034e-6 < x < 3.4e-4Initial program 99.6%
associate-*l*99.6%
distribute-lft-in99.6%
cos-neg99.6%
distribute-lft-in99.6%
associate-+l+99.5%
Simplified99.5%
fma-def99.5%
metadata-eval99.5%
div-sub99.5%
div-inv99.5%
sub-neg99.5%
metadata-eval99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0 99.5%
Taylor expanded in x around 0 99.5%
associate-*r*99.5%
metadata-eval99.5%
distribute-rgt-out99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in x around 0 99.5%
Final simplification76.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -5.1e-6) (not (<= x 5.5e-6)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (+ (* 0.5 (* (cos x) t_0)) (/ 1.0 (+ 1.5 (* (sqrt 5.0) 0.5)))))))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+ 1.0 (* 0.5 (+ t_0 (* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -5.1e-6) || !(x <= 5.5e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((0.5 * (cos(x) * t_0)) + (1.0 / (1.5 + (sqrt(5.0) * 0.5))))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (1.0 + (0.5 * (t_0 + (cos(y) * (4.0 / (3.0 + sqrt(5.0))))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-5.1d-6)) .or. (.not. (x <= 5.5d-6))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + ((0.5d0 * (cos(x) * t_0)) + (1.0d0 / (1.5d0 + (sqrt(5.0d0) * 0.5d0))))))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (1.0d0 + (0.5d0 * (t_0 + (cos(y) * (4.0d0 / (3.0d0 + sqrt(5.0d0))))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) + -1.0;
double tmp;
if ((x <= -5.1e-6) || !(x <= 5.5e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + ((0.5 * (Math.cos(x) * t_0)) + (1.0 / (1.5 + (Math.sqrt(5.0) * 0.5))))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (1.0 + (0.5 * (t_0 + (Math.cos(y) * (4.0 / (3.0 + Math.sqrt(5.0))))))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) + -1.0 tmp = 0 if (x <= -5.1e-6) or not (x <= 5.5e-6): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + ((0.5 * (math.cos(x) * t_0)) + (1.0 / (1.5 + (math.sqrt(5.0) * 0.5)))))) else: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (1.0 + (0.5 * (t_0 + (math.cos(y) * (4.0 / (3.0 + math.sqrt(5.0)))))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -5.1e-6) || !(x <= 5.5e-6)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(0.5 * Float64(cos(x) * t_0)) + Float64(1.0 / Float64(1.5 + Float64(sqrt(5.0) * 0.5))))))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(1.0 + Float64(0.5 * Float64(t_0 + Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0))))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) + -1.0; tmp = 0.0; if ((x <= -5.1e-6) || ~((x <= 5.5e-6))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((0.5 * (cos(x) * t_0)) + (1.0 / (1.5 + (sqrt(5.0) * 0.5)))))); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (1.0 + (0.5 * (t_0 + (cos(y) * (4.0 / (3.0 + sqrt(5.0)))))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -5.1e-6], N[Not[LessEqual[x, 5.5e-6]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(0.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -5.1 \cdot 10^{-6} \lor \neg \left(x \leq 5.5 \cdot 10^{-6}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(0.5 \cdot \left(\cos x \cdot t_0\right) + \frac{1}{1.5 + \sqrt{5} \cdot 0.5}\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{1 + 0.5 \cdot \left(t_0 + \cos y \cdot \frac{4}{3 + \sqrt{5}}\right)}\\
\end{array}
\end{array}
if x < -5.1000000000000003e-6 or 5.4999999999999999e-6 < x Initial program 99.0%
associate-*l*99.0%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in99.0%
associate-+l+98.9%
Simplified98.9%
fma-def98.9%
metadata-eval98.9%
div-sub98.9%
div-inv98.9%
sub-neg98.9%
metadata-eval98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
flip--98.8%
metadata-eval98.8%
Applied egg-rr98.8%
swap-sqr98.8%
cancel-sign-sub-inv98.8%
rem-square-sqrt99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
+-commutative99.1%
*-commutative99.1%
fma-def99.1%
Simplified99.1%
Taylor expanded in y around 0 57.8%
if -5.1000000000000003e-6 < x < 5.4999999999999999e-6Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
distribute-rgt-out99.6%
sub-neg99.6%
metadata-eval99.6%
*-commutative99.6%
unpow299.6%
Simplified99.6%
Taylor expanded in x around 0 98.7%
associate-*r*98.7%
distribute-lft-out98.7%
sub-neg98.7%
metadata-eval98.7%
Simplified98.7%
flip--98.6%
metadata-eval98.6%
add-sqr-sqrt98.7%
metadata-eval98.7%
Applied egg-rr98.7%
+-commutative98.7%
Simplified98.7%
Final simplification76.4%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+
1.0
(* 0.5 (+ (+ (sqrt 5.0) -1.0) (* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (4.0 / (3.0 + sqrt(5.0))))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (1.0d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) + (cos(y) * (4.0d0 / (3.0d0 + sqrt(5.0d0))))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (1.0 + (0.5 * ((Math.sqrt(5.0) + -1.0) + (Math.cos(y) * (4.0 / (3.0 + Math.sqrt(5.0))))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (1.0 + (0.5 * ((math.sqrt(5.0) + -1.0) + (math.cos(y) * (4.0 / (3.0 + math.sqrt(5.0))))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) + Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0))))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (4.0 / (3.0 + sqrt(5.0)))))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{1 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) + \cos y \cdot \frac{4}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
flip--56.4%
metadata-eval56.4%
add-sqr-sqrt56.5%
metadata-eval56.5%
Applied egg-rr56.5%
+-commutative56.5%
Simplified56.5%
Final simplification56.5%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0))))) (+ 1.0 (* 0.5 (+ (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (3.0 - sqrt(5.0)))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (1.0d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) + (cos(y) * (3.0d0 - sqrt(5.0d0)))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (1.0 + (0.5 * ((Math.sqrt(5.0) + -1.0) + (Math.cos(y) * (3.0 - Math.sqrt(5.0)))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (1.0 + (0.5 * ((math.sqrt(5.0) + -1.0) + (math.cos(y) * (3.0 - math.sqrt(5.0)))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (3.0 - sqrt(5.0))))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{1 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Final simplification56.5%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0))))) (+ 1.0 (* 0.5 (+ -1.0 (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (1.0 + (0.5 * (-1.0 + (sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0))))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (1.0d0 + (0.5d0 * ((-1.0d0) + (sqrt(5.0d0) + (cos(y) * (3.0d0 - sqrt(5.0d0))))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (1.0 + (0.5 * (-1.0 + (Math.sqrt(5.0) + (Math.cos(y) * (3.0 - Math.sqrt(5.0))))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (1.0 + (0.5 * (-1.0 + (math.sqrt(5.0) + (math.cos(y) * (3.0 - math.sqrt(5.0))))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(1.0 + Float64(0.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (1.0 + (0.5 * (-1.0 + (sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{1 + 0.5 \cdot \left(-1 + \left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Taylor expanded in y around inf 56.5%
Final simplification56.5%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0))))) 2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{2}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Taylor expanded in y around 0 38.0%
Final simplification38.0%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+
2.0
(*
-0.0625
(*
(- 1.0 (cos y))
(* (sqrt 2.0) (+ (* y y) (* -0.3333333333333333 (pow y 4.0)))))))
2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * ((y * y) + (-0.3333333333333333 * pow(y, 4.0))))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * ((y * y) + ((-0.3333333333333333d0) * (y ** 4.0d0))))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * ((y * y) + (-0.3333333333333333 * Math.pow(y, 4.0))))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * ((y * y) + (-0.3333333333333333 * math.pow(y, 4.0))))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(y * y) + Float64(-0.3333333333333333 * (y ^ 4.0))))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * ((y * y) + (-0.3333333333333333 * (y ^ 4.0))))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(y * y), $MachinePrecision] + N[(-0.3333333333333333 * N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(y \cdot y + -0.3333333333333333 \cdot {y}^{4}\right)\right)\right)}{2}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Taylor expanded in y around 0 38.0%
Taylor expanded in y around 0 27.8%
+-commutative27.8%
associate-*r*27.8%
distribute-rgt-out27.8%
unpow227.8%
Simplified27.8%
Final simplification27.8%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (pow (sin y) 2.0)) (* 0.5 (* y y))))) 2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(y), 2.0)) * (0.5 * (y * y))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(y) ** 2.0d0)) * (0.5d0 * (y * y))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0)) * (0.5 * (y * y))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(y), 2.0)) * (0.5 * (y * y))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(y) ^ 2.0)) * Float64(0.5 * Float64(y * y))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (sin(y) ^ 2.0)) * (0.5 * (y * y))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(0.5 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin y}^{2}\right) \cdot \left(0.5 \cdot \left(y \cdot y\right)\right)\right)}{2}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Taylor expanded in y around 0 38.0%
Taylor expanded in y around 0 27.2%
unpow227.2%
Simplified27.2%
Final simplification27.2%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (* y y))))) 2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (y * y))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (y * y))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * (y * y))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * (y * y))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(y * y))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (y * y))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(y \cdot y\right)\right)\right)}{2}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Taylor expanded in y around 0 38.0%
Taylor expanded in y around 0 27.2%
unpow227.2%
Simplified27.2%
Final simplification27.2%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (sqrt 2.0) (* 0.5 (pow y 4.0))))) 2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * (0.5 * pow(y, 4.0))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * (0.5d0 * (y ** 4.0d0))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.sqrt(2.0) * (0.5 * Math.pow(y, 4.0))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.sqrt(2.0) * (0.5 * math.pow(y, 4.0))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(0.5 * (y ^ 4.0))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * (0.5 * (y ^ 4.0))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 * N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(0.5 \cdot {y}^{4}\right)\right)}{2}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0 47.6%
associate-*r*47.6%
distribute-rgt-out47.6%
sub-neg47.6%
metadata-eval47.6%
*-commutative47.6%
unpow247.6%
Simplified47.6%
Taylor expanded in x around 0 56.5%
associate-*r*56.5%
distribute-lft-out56.5%
sub-neg56.5%
metadata-eval56.5%
Simplified56.5%
Taylor expanded in y around 0 38.0%
Taylor expanded in y around 0 27.1%
associate-*r*27.1%
Simplified27.1%
Final simplification27.1%
herbie shell --seed 2023287
(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))))))