
(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 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
(cos y)
(/ 9.0 (fma (sqrt 5.0) 1.5 4.5))
(* (cos x) (/ 9.0 (fma 1.5 (sqrt 5.0) 1.5)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(cos(y), (9.0 / fma(sqrt(5.0), 1.5, 4.5)), (cos(x) * (9.0 / fma(1.5, sqrt(5.0), 1.5)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(9.0 / fma(sqrt(5.0), 1.5, 4.5)), Float64(cos(x) * Float64(9.0 / fma(1.5, sqrt(5.0), 1.5)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(9.0 / N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + 4.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(9.0 / N[(1.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{9}{\mathsf{fma}\left(\sqrt{5}, 1.5, 4.5\right)}, \cos x \cdot \frac{9}{\mathsf{fma}\left(1.5, \sqrt{5}, 1.5\right)}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
add-cbrt-cube99.5%
distribute-rgt-in99.5%
metadata-eval99.5%
distribute-rgt-in99.5%
metadata-eval99.5%
distribute-rgt-in99.5%
metadata-eval99.5%
Applied egg-rr99.5%
add-cbrt-cube99.4%
flip-+99.2%
metadata-eval99.2%
Applied egg-rr99.2%
sub-neg99.2%
+-commutative99.2%
metadata-eval99.2%
swap-sqr99.2%
metadata-eval99.2%
*-commutative99.2%
rem-square-sqrt99.5%
metadata-eval99.5%
metadata-eval99.5%
*-commutative99.5%
fma-neg99.5%
metadata-eval99.5%
Simplified99.5%
flip--99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
swap-sqr99.5%
rem-square-sqrt99.6%
metadata-eval99.6%
cancel-sign-sub-inv99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
+-commutative99.6%
fma-def99.6%
Simplified99.6%
Final simplification99.6%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
(cos y)
(- 4.5 (/ (sqrt 5.0) 0.6666666666666666))
(* (cos x) (/ 9.0 (fma 1.5 (sqrt 5.0) 1.5)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(cos(y), (4.5 - (sqrt(5.0) / 0.6666666666666666)), (cos(x) * (9.0 / fma(1.5, sqrt(5.0), 1.5)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(4.5 - Float64(sqrt(5.0) / 0.6666666666666666)), Float64(cos(x) * Float64(9.0 / fma(1.5, sqrt(5.0), 1.5)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(4.5 - N[(N[Sqrt[5.0], $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(9.0 / N[(1.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, 4.5 - \frac{\sqrt{5}}{0.6666666666666666}, \cos x \cdot \frac{9}{\mathsf{fma}\left(1.5, \sqrt{5}, 1.5\right)}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
add-cbrt-cube99.5%
distribute-rgt-in99.5%
metadata-eval99.5%
distribute-rgt-in99.5%
metadata-eval99.5%
distribute-rgt-in99.5%
metadata-eval99.5%
Applied egg-rr99.5%
add-cbrt-cube99.4%
flip-+99.2%
metadata-eval99.2%
Applied egg-rr99.2%
sub-neg99.2%
+-commutative99.2%
metadata-eval99.2%
swap-sqr99.2%
metadata-eval99.2%
*-commutative99.2%
rem-square-sqrt99.5%
metadata-eval99.5%
metadata-eval99.5%
*-commutative99.5%
fma-neg99.5%
metadata-eval99.5%
Simplified99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 1.5)))
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (- (cos x) (cos y))))
2.0)
(+ 3.0 (+ (* (cos y) (- 4.5 t_0)) (* (cos x) (+ t_0 -1.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 1.5;
return fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * (cos(x) - cos(y)))), 2.0) / (3.0 + ((cos(y) * (4.5 - t_0)) + (cos(x) * (t_0 + -1.5))));
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 1.5) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - t_0)) + Float64(cos(x) * Float64(t_0 + -1.5))))) end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]}, N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 + -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 1.5\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \left(\cos y \cdot \left(4.5 - t_0\right) + \cos x \cdot \left(t_0 + -1.5\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
fma-udef99.4%
div-inv99.4%
metadata-eval99.4%
distribute-rgt-in99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
2.0)
(+
3.0
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))), ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (cos(x) * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
code[x_, y_] := 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[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right), \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right)\right)}
\end{array}
Initial program 99.3%
+-commutative99.3%
associate-*l*99.3%
fma-def99.3%
associate-+l+99.4%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.3%
flip--62.9%
metadata-eval62.9%
add-sqr-sqrt63.0%
metadata-eval63.0%
Applied egg-rr99.4%
Taylor expanded in y around inf 99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(fma
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
2.0)
(+
3.0
(+
(* (cos x) (- (* (sqrt 5.0) 1.5) 1.5))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))), ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))), 2.0) / (3.0 + ((cos(x) * ((sqrt(5.0) * 1.5) - 1.5)) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))), 2.0) / Float64(3.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) * 1.5) - 1.5)) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
code[x_, y_] := 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[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision] - 1.5), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right), \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right), 2\right)}{3 + \left(\cos x \cdot \left(\sqrt{5} \cdot 1.5 - 1.5\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
+-commutative99.3%
associate-*l*99.3%
fma-def99.3%
associate-+l+99.4%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.3%
flip--62.9%
metadata-eval62.9%
add-sqr-sqrt63.0%
metadata-eval63.0%
Applied egg-rr99.4%
Taylor expanded in y around inf 99.5%
+-commutative99.5%
*-commutative99.5%
*-commutative99.5%
associate-*l*99.5%
*-commutative99.5%
fma-def99.5%
sub-neg99.5%
metadata-eval99.5%
distribute-lft-in99.5%
metadata-eval99.5%
fma-def99.5%
associate-*r/99.4%
Simplified99.4%
Taylor expanded in x around inf 99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (sqrt 5.0) 1.5))
(t_2 (- (cos x) (cos y)))
(t_3 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.00042) (not (<= x 8e-11)))
(/
(+ 2.0 (* (* t_3 t_2) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma (sqrt 2.0) (* t_3 (* (- (sin x) (/ (sin y) 16.0)) t_2)) 2.0)
(+ 3.0 (+ (* (cos y) (- 4.5 t_1)) (* 9.0 (/ 1.0 (+ 1.5 t_1)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sqrt(5.0) * 1.5;
double t_2 = cos(x) - cos(y);
double t_3 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.00042) || !(x <= 8e-11)) {
tmp = (2.0 + ((t_3 * t_2) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma(sqrt(2.0), (t_3 * ((sin(x) - (sin(y) / 16.0)) * t_2)), 2.0) / (3.0 + ((cos(y) * (4.5 - t_1)) + (9.0 * (1.0 / (1.5 + t_1)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sqrt(5.0) * 1.5) t_2 = Float64(cos(x) - cos(y)) t_3 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.00042) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(Float64(t_3 * t_2) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(fma(sqrt(2.0), Float64(t_3 * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * t_2)), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - t_1)) + Float64(9.0 * Float64(1.0 / Float64(1.5 + t_1)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00042], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$3 * t$95$2), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - t$95$1), $MachinePrecision]), $MachinePrecision] + N[(9.0 * N[(1.0 / N[(1.5 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sqrt{5} \cdot 1.5\\
t_2 := \cos x - \cos y\\
t_3 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.00042 \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + \left(t_3 \cdot t_2\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t_3 \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot t_2\right), 2\right)}{3 + \left(\cos y \cdot \left(4.5 - t_1\right) + 9 \cdot \frac{1}{1.5 + t_1}\right)}\\
\end{array}
\end{array}
if x < -4.2000000000000002e-4 or 7.99999999999999952e-11 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.3%
if -4.2000000000000002e-4 < x < 7.99999999999999952e-11Initial program 99.7%
Simplified99.6%
Taylor expanded in x around inf 99.6%
associate-*r*99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
add-cbrt-cube99.8%
distribute-rgt-in99.8%
metadata-eval99.8%
distribute-rgt-in99.8%
metadata-eval99.8%
distribute-rgt-in99.8%
metadata-eval99.8%
Applied egg-rr99.8%
add-cbrt-cube99.6%
flip-+99.6%
metadata-eval99.6%
Applied egg-rr99.6%
sub-neg99.6%
+-commutative99.6%
metadata-eval99.6%
swap-sqr99.6%
metadata-eval99.6%
*-commutative99.6%
rem-square-sqrt99.8%
metadata-eval99.8%
metadata-eval99.8%
*-commutative99.8%
fma-neg99.8%
metadata-eval99.8%
Simplified99.8%
Taylor expanded in x around 0 99.8%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
return (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) / 2.0d0
code = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * ((sin(y) - (sin(x) / 16.0d0)) * (cos(x) - cos(y))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
return (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.cos(x) - Math.cos(y))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 return (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.cos(x) - math.cos(y))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))))
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.4%
*-commutative99.4%
div-sub99.4%
metadata-eval99.4%
*-commutative99.4%
div-sub99.4%
metadata-eval99.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))))
(if (or (<= x -2.9e-5) (not (<= x 8e-11)))
(/
(+ 2.0 (* t_1 (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_1 2.0)
(+
3.0
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* 1.5 (+ (sqrt 5.0) -1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = (sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y));
double tmp;
if ((x <= -2.9e-5) || !(x <= 8e-11)) {
tmp = (2.0 + (t_1 * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))), t_1, 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * (sqrt(5.0) + -1.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))) tmp = 0.0 if ((x <= -2.9e-5) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(fma(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), t_1, 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * Float64(sqrt(5.0) + -1.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -2.9e-5], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\\
\mathbf{if}\;x \leq -2.9 \cdot 10^{-5} \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right), t_1, 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -2.9e-5 or 7.99999999999999952e-11 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.3%
if -2.9e-5 < x < 7.99999999999999952e-11Initial program 99.7%
+-commutative99.7%
associate-*l*99.7%
fma-def99.7%
associate-+l+99.7%
distribute-lft-in99.7%
metadata-eval99.7%
Simplified99.6%
flip--68.1%
metadata-eval68.1%
add-sqr-sqrt68.1%
metadata-eval68.1%
Applied egg-rr99.7%
Taylor expanded in x around 0 99.7%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -8500000000.0) (not (<= x 8e-11)))
(/ (+ 2.0 (* (* t_2 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x)))) t_1)
(/
(+
2.0
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) (* t_2 (- 1.0 (cos y)))))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = 3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))));
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -8500000000.0) || !(x <= 8e-11)) {
tmp = (2.0 + ((t_2 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / t_1;
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_2 * (1.0 - cos(y))))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = 3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0))))
t_2 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-8500000000.0d0)) .or. (.not. (x <= 8d-11))) then
tmp = (2.0d0 + ((t_2 * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / t_1
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (t_2 * (1.0d0 - cos(y))))) / t_1
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 = 3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0))));
double t_2 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -8500000000.0) || !(x <= 8e-11)) {
tmp = (2.0 + ((t_2 * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / t_1;
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (t_2 * (1.0 - Math.cos(y))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = 3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))) t_2 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -8500000000.0) or not (x <= 8e-11): tmp = (2.0 + ((t_2 * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / t_1 else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (t_2 * (1.0 - math.cos(y))))) / t_1 return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0))))) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -8500000000.0) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / t_1); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(t_2 * Float64(1.0 - cos(y))))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = 3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))); t_2 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -8500000000.0) || ~((x <= 8e-11))) tmp = (2.0 + ((t_2 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / t_1; else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_2 * (1.0 - cos(y))))) / t_1; 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[(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]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -8500000000.0], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := 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)\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -8500000000 \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + \left(t_2 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(t_2 \cdot \left(1 - \cos y\right)\right)}{t_1}\\
\end{array}
\end{array}
if x < -8.5e9 or 7.99999999999999952e-11 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.8%
if -8.5e9 < x < 7.99999999999999952e-11Initial program 99.7%
associate-*l*99.7%
associate-+l+99.7%
*-commutative99.7%
div-sub99.7%
metadata-eval99.7%
*-commutative99.7%
div-sub99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 98.7%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.0065) (not (<= x 8e-11)))
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
(* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- 1.0 (cos y)))
(+ (* -0.0625 (pow (sin y) 2.0)) (* (sin y) (* x 1.00390625)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.0065) || !(x <= 8e-11)) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * ((-0.0625 * pow(sin(y), 2.0)) + (sin(y) * (x * 1.00390625))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((x <= (-0.0065d0)) .or. (.not. (x <= 8d-11))) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (((-0.0625d0) * (sin(y) ** 2.0d0)) + (sin(y) * (x * 1.00390625d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.0065) || !(x <= 8e-11)) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * ((-0.0625 * Math.pow(Math.sin(y), 2.0)) + (Math.sin(y) * (x * 1.00390625))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -0.0065) or not (x <= 8e-11): tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + ((math.sqrt(2.0) * (1.0 - math.cos(y))) * ((-0.0625 * math.pow(math.sin(y), 2.0)) + (math.sin(y) * (x * 1.00390625))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.0065) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) + Float64(sin(y) * Float64(x * 1.00390625))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -0.0065) || ~((x <= 8e-11))) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * ((-0.0625 * (sin(y) ^ 2.0)) + (sin(y) * (x * 1.00390625))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.0065], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.0065 \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(-0.0625 \cdot {\sin y}^{2} + \sin y \cdot \left(x \cdot 1.00390625\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -0.0064999999999999997 or 7.99999999999999952e-11 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.3%
if -0.0064999999999999997 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
*-commutative99.7%
associate-*r*99.7%
associate-*l*99.7%
associate-*r*99.7%
distribute-lft-out99.7%
*-commutative99.7%
distribute-lft1-in99.7%
associate-*r*99.7%
metadata-eval99.7%
Simplified99.7%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (cos x) (cos y))))
(if (or (<= x -8500000000.0) (not (<= x 8e-11)))
(/
(+ 2.0 (* (* (- (sin y) (/ (sin x) 16.0)) t_1) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(* t_1 (* (+ (sin x) (* (sin y) -0.0625)) (* (sqrt 2.0) (sin y)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = cos(x) - cos(y);
double tmp;
if ((x <= -8500000000.0) || !(x <= 8e-11)) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * t_1) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (t_1 * ((sin(x) + (sin(y) * -0.0625)) * (sqrt(2.0) * sin(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = cos(x) - cos(y)
if ((x <= (-8500000000.0d0)) .or. (.not. (x <= 8d-11))) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * t_1) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (t_1 * ((sin(x) + (sin(y) * (-0.0625d0))) * (sqrt(2.0d0) * sin(y))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -8500000000.0) || !(x <= 8e-11)) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * t_1) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (t_1 * ((Math.sin(x) + (Math.sin(y) * -0.0625)) * (Math.sqrt(2.0) * Math.sin(y))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.cos(x) - math.cos(y) tmp = 0 if (x <= -8500000000.0) or not (x <= 8e-11): tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * t_1) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (t_1 * ((math.sin(x) + (math.sin(y) * -0.0625)) * (math.sqrt(2.0) * math.sin(y))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -8500000000.0) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_1) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(sqrt(2.0) * sin(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = cos(x) - cos(y); tmp = 0.0; if ((x <= -8500000000.0) || ~((x <= 8e-11))) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * t_1) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (t_1 * ((sin(x) + (sin(y) * -0.0625)) * (sqrt(2.0) * sin(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -8500000000.0], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $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[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \cos x - \cos y\\
\mathbf{if}\;x \leq -8500000000 \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_1\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\sqrt{2} \cdot \sin y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -8.5e9 or 7.99999999999999952e-11 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.8%
if -8.5e9 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 98.7%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)) (t_1 (+ 1.0 (* (cos x) (/ t_0 2.0)))))
(if (<= x -0.0066)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin x) 2.0) (* (sqrt 2.0) -0.0625))))
(* 3.0 (+ t_1 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= x 8e-11)
(/
(+
2.0
(*
(* (sqrt 2.0) (- 1.0 (cos y)))
(+ (* -0.0625 (pow (sin y) 2.0)) (* (sin y) (* x 1.00390625)))))
(* 3.0 (+ t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (+ (cos x) -1.0)))
2.0)
(+ 3.0 (+ 4.5 (- (* (cos x) (* 1.5 t_0)) (* (sqrt 5.0) 1.5)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 1.0 + (cos(x) * (t_0 / 2.0));
double tmp;
if (x <= -0.0066) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * (t_1 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * ((-0.0625 * pow(sin(y), 2.0)) + (sin(y) * (x * 1.00390625))))) / (3.0 * (t_1 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + ((cos(x) * (1.5 * t_0)) - (sqrt(5.0) * 1.5))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) tmp = 0.0 if (x <= -0.0066) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (x <= 8e-11) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) + Float64(sin(y) * Float64(x * 1.00390625))))) / Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(Float64(cos(x) * Float64(1.5 * t_0)) - Float64(sqrt(5.0) * 1.5))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0066], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8e-11], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 1 + \cos x \cdot \frac{t_0}{2}\\
\mathbf{if}\;x \leq -0.0066:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(t_1 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;x \leq 8 \cdot 10^{-11}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(-0.0625 \cdot {\sin y}^{2} + \sin y \cdot \left(x \cdot 1.00390625\right)\right)}{3 \cdot \left(t_1 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + \left(\cos x \cdot \left(1.5 \cdot t_0\right) - \sqrt{5} \cdot 1.5\right)\right)}\\
\end{array}
\end{array}
if x < -0.0066Initial program 98.8%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
*-commutative57.4%
Simplified57.4%
flip--57.3%
metadata-eval57.3%
add-sqr-sqrt57.4%
metadata-eval57.4%
Applied egg-rr57.4%
if -0.0066 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
*-commutative99.7%
associate-*r*99.7%
associate-*l*99.7%
associate-*r*99.7%
distribute-lft-out99.7%
*-commutative99.7%
distribute-lft1-in99.7%
associate-*r*99.7%
metadata-eval99.7%
Simplified99.7%
if 7.99999999999999952e-11 < x Initial program 99.1%
Simplified98.9%
Taylor expanded in y around 0 58.0%
associate--l+57.9%
associate-*r*57.9%
*-commutative57.9%
*-commutative57.9%
fma-neg57.9%
*-lft-identity57.9%
fma-neg57.9%
*-lft-identity57.9%
sub-neg57.9%
metadata-eval57.9%
Simplified57.9%
Taylor expanded in y around 0 58.5%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
2.0
(*
(- (cos x) (cos y))
(* (pow (sin x) 2.0) (* (sqrt 2.0) -0.0625)))))
(t_1 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_2 (* 3.0 (+ t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (<= x -0.00275)
(/ t_0 (* 3.0 (+ t_1 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= x 8e-11)
(/
(+
2.0
(*
(* (sqrt 2.0) (- 1.0 (cos y)))
(+ (* -0.0625 (pow (sin y) 2.0)) (* (sin y) (* x 1.00390625)))))
t_2)
(/ t_0 t_2)))))
double code(double x, double y) {
double t_0 = 2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * (sqrt(2.0) * -0.0625)));
double t_1 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_2 = 3.0 * (t_1 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if (x <= -0.00275) {
tmp = t_0 / (3.0 * (t_1 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * ((-0.0625 * pow(sin(y), 2.0)) + (sin(y) * (x * 1.00390625))))) / t_2;
} else {
tmp = t_0 / t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = 2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (-0.0625d0))))
t_1 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
t_2 = 3.0d0 * (t_1 + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if (x <= (-0.00275d0)) then
tmp = t_0 / (3.0d0 * (t_1 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else if (x <= 8d-11) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (((-0.0625d0) * (sin(y) ** 2.0d0)) + (sin(y) * (x * 1.00390625d0))))) / t_2
else
tmp = t_0 / t_2
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * -0.0625)));
double t_1 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double t_2 = 3.0 * (t_1 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if (x <= -0.00275) {
tmp = t_0 / (3.0 * (t_1 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * ((-0.0625 * Math.pow(Math.sin(y), 2.0)) + (Math.sin(y) * (x * 1.00390625))))) / t_2;
} else {
tmp = t_0 / t_2;
}
return tmp;
}
def code(x, y): t_0 = 2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * -0.0625))) t_1 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) t_2 = 3.0 * (t_1 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) tmp = 0 if x <= -0.00275: tmp = t_0 / (3.0 * (t_1 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) elif x <= 8e-11: tmp = (2.0 + ((math.sqrt(2.0) * (1.0 - math.cos(y))) * ((-0.0625 * math.pow(math.sin(y), 2.0)) + (math.sin(y) * (x * 1.00390625))))) / t_2 else: tmp = t_0 / t_2 return tmp
function code(x, y) t_0 = Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) t_1 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_2 = Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if (x <= -0.00275) tmp = Float64(t_0 / Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (x <= 8e-11) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) + Float64(sin(y) * Float64(x * 1.00390625))))) / t_2); else tmp = Float64(t_0 / t_2); end return tmp end
function tmp_2 = code(x, y) t_0 = 2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * (sqrt(2.0) * -0.0625))); t_1 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); t_2 = 3.0 * (t_1 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if (x <= -0.00275) tmp = t_0 / (3.0 * (t_1 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); elseif (x <= 8e-11) tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * ((-0.0625 * (sin(y) ^ 2.0)) + (sin(y) * (x * 1.00390625))))) / t_2; else tmp = t_0 / t_2; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00275], N[(t$95$0 / N[(3.0 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8e-11], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(t$95$0 / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)\\
t_1 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_2 := 3 \cdot \left(t_1 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.00275:\\
\;\;\;\;\frac{t_0}{3 \cdot \left(t_1 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;x \leq 8 \cdot 10^{-11}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(-0.0625 \cdot {\sin y}^{2} + \sin y \cdot \left(x \cdot 1.00390625\right)\right)}{t_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_0}{t_2}\\
\end{array}
\end{array}
if x < -0.0027499999999999998Initial program 98.8%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
*-commutative57.4%
Simplified57.4%
flip--57.3%
metadata-eval57.3%
add-sqr-sqrt57.4%
metadata-eval57.4%
Applied egg-rr57.4%
if -0.0027499999999999998 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
*-commutative99.7%
associate-*r*99.7%
associate-*l*99.7%
associate-*r*99.7%
distribute-lft-out99.7%
*-commutative99.7%
distribute-lft1-in99.7%
associate-*r*99.7%
metadata-eval99.7%
Simplified99.7%
if 7.99999999999999952e-11 < x Initial program 99.1%
Taylor expanded in y around 0 57.6%
associate-*r*57.6%
*-commutative57.6%
Simplified57.6%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2 (+ 2.0 (* (- (cos x) (cos y)) (* (pow (sin x) 2.0) t_0))))
(t_3 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))))
(if (<= x -0.00065)
(/ t_2 (* 3.0 (+ t_3 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= x 8e-11)
(/
(+
2.0
(* (* (- (sin y) (/ (sin x) 16.0)) (- 1.0 (cos y))) (* (sin y) t_0)))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1))))))
(/ t_2 (* 3.0 (+ t_3 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = sqrt(5.0) / 2.0;
double t_2 = 2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * t_0));
double t_3 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double tmp;
if (x <= -0.00065) {
tmp = t_2 / (3.0 * (t_3 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))) * (sin(y) * t_0))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1)))));
} else {
tmp = t_2 / (3.0 * (t_3 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(2.0d0) * (-0.0625d0)
t_1 = sqrt(5.0d0) / 2.0d0
t_2 = 2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * t_0))
t_3 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
if (x <= (-0.00065d0)) then
tmp = t_2 / (3.0d0 * (t_3 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else if (x <= 8d-11) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (1.0d0 - cos(y))) * (sin(y) * t_0))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_1 - 0.5d0)) + (cos(y) * (1.5d0 - t_1)))))
else
tmp = t_2 / (3.0d0 * (t_3 + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = Math.sqrt(5.0) / 2.0;
double t_2 = 2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * t_0));
double t_3 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double tmp;
if (x <= -0.00065) {
tmp = t_2 / (3.0 * (t_3 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (1.0 - Math.cos(y))) * (Math.sin(y) * t_0))) / (3.0 * (1.0 + ((Math.cos(x) * (t_1 - 0.5)) + (Math.cos(y) * (1.5 - t_1)))));
} else {
tmp = t_2 / (3.0 * (t_3 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = math.sqrt(5.0) / 2.0 t_2 = 2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * t_0)) t_3 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) tmp = 0 if x <= -0.00065: tmp = t_2 / (3.0 * (t_3 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) elif x <= 8e-11: tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (1.0 - math.cos(y))) * (math.sin(y) * t_0))) / (3.0 * (1.0 + ((math.cos(x) * (t_1 - 0.5)) + (math.cos(y) * (1.5 - t_1))))) else: tmp = t_2 / (3.0 * (t_3 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * t_0))) t_3 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) tmp = 0.0 if (x <= -0.00065) tmp = Float64(t_2 / Float64(3.0 * Float64(t_3 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (x <= 8e-11) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(1.0 - cos(y))) * Float64(sin(y) * t_0))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1)))))); else tmp = Float64(t_2 / Float64(3.0 * Float64(t_3 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = sqrt(5.0) / 2.0; t_2 = 2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * t_0)); t_3 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); tmp = 0.0; if (x <= -0.00065) tmp = t_2 / (3.0 * (t_3 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); elseif (x <= 8e-11) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))) * (sin(y) * t_0))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1))))); else tmp = t_2 / (3.0 * (t_3 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00065], N[(t$95$2 / N[(3.0 * N[(t$95$3 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8e-11], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 / N[(3.0 * N[(t$95$3 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := 2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot t_0\right)\\
t_3 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
\mathbf{if}\;x \leq -0.00065:\\
\;\;\;\;\frac{t_2}{3 \cdot \left(t_3 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;x \leq 8 \cdot 10^{-11}:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(1 - \cos y\right)\right) \cdot \left(\sin y \cdot t_0\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_1 - 0.5\right) + \cos y \cdot \left(1.5 - t_1\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_2}{3 \cdot \left(t_3 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -6.4999999999999997e-4Initial program 98.8%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
*-commutative57.4%
Simplified57.4%
flip--57.3%
metadata-eval57.3%
add-sqr-sqrt57.4%
metadata-eval57.4%
Applied egg-rr57.4%
if -6.4999999999999997e-4 < x < 7.99999999999999952e-11Initial program 99.7%
associate-*l*99.7%
associate-+l+99.7%
*-commutative99.7%
div-sub99.7%
metadata-eval99.7%
*-commutative99.7%
div-sub99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
if 7.99999999999999952e-11 < x Initial program 99.1%
Taylor expanded in y around 0 57.6%
associate-*r*57.6%
*-commutative57.6%
Simplified57.6%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (or (<= x -0.00122) (not (<= x 8e-11)))
(/ (+ 2.0 (* (- (cos x) (cos y)) (* (pow (sin x) 2.0) t_0))) t_1)
(/ (+ 2.0 (* t_0 (* (- 1.0 (cos y)) (pow (sin y) 2.0)))) t_1))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.00122) || !(x <= 8e-11)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * t_0))) / t_1;
} else {
tmp = (2.0 + (t_0 * ((1.0 - cos(y)) * pow(sin(y), 2.0)))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(2.0d0) * (-0.0625d0)
t_1 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if ((x <= (-0.00122d0)) .or. (.not. (x <= 8d-11))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * t_0))) / t_1
else
tmp = (2.0d0 + (t_0 * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0)))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.00122) || !(x <= 8e-11)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * t_0))) / t_1;
} else {
tmp = (2.0 + (t_0 * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0)))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) tmp = 0 if (x <= -0.00122) or not (x <= 8e-11): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * t_0))) / t_1 else: tmp = (2.0 + (t_0 * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0)))) / t_1 return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if ((x <= -0.00122) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * t_0))) / t_1); else tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if ((x <= -0.00122) || ~((x <= 8e-11))) tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * t_0))) / t_1; else tmp = (2.0 + (t_0 * ((1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00122], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(t$95$0 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.00122 \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot t_0\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_0 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.00121999999999999995 or 7.99999999999999952e-11 < x Initial program 98.9%
Taylor expanded in y around 0 57.5%
associate-*r*57.5%
*-commutative57.5%
Simplified57.5%
if -0.00121999999999999995 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
Simplified99.6%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (sqrt 2.0) -0.0625))
(t_2 (+ 2.0 (* (- (cos x) (cos y)) (* (pow (sin x) 2.0) t_1))))
(t_3 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_4 (* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) t_3))))
(if (<= x -0.00105)
(/ t_2 (* 3.0 (+ t_3 (+ 1.0 (/ (cos x) (/ 2.0 t_0))))))
(if (<= x 8e-11)
(/ (+ 2.0 (* t_1 (* (- 1.0 (cos y)) (pow (sin y) 2.0)))) t_4)
(/ t_2 t_4)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sqrt(2.0) * -0.0625;
double t_2 = 2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * t_1));
double t_3 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_4 = 3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + t_3);
double tmp;
if (x <= -0.00105) {
tmp = t_2 / (3.0 * (t_3 + (1.0 + (cos(x) / (2.0 / t_0)))));
} else if (x <= 8e-11) {
tmp = (2.0 + (t_1 * ((1.0 - cos(y)) * pow(sin(y), 2.0)))) / t_4;
} else {
tmp = t_2 / t_4;
}
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) + (-1.0d0)
t_1 = sqrt(2.0d0) * (-0.0625d0)
t_2 = 2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * t_1))
t_3 = cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)
t_4 = 3.0d0 * ((1.0d0 + (cos(x) * (t_0 / 2.0d0))) + t_3)
if (x <= (-0.00105d0)) then
tmp = t_2 / (3.0d0 * (t_3 + (1.0d0 + (cos(x) / (2.0d0 / t_0)))))
else if (x <= 8d-11) then
tmp = (2.0d0 + (t_1 * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0)))) / t_4
else
tmp = t_2 / t_4
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) + -1.0;
double t_1 = Math.sqrt(2.0) * -0.0625;
double t_2 = 2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * t_1));
double t_3 = Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0);
double t_4 = 3.0 * ((1.0 + (Math.cos(x) * (t_0 / 2.0))) + t_3);
double tmp;
if (x <= -0.00105) {
tmp = t_2 / (3.0 * (t_3 + (1.0 + (Math.cos(x) / (2.0 / t_0)))));
} else if (x <= 8e-11) {
tmp = (2.0 + (t_1 * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0)))) / t_4;
} else {
tmp = t_2 / t_4;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) + -1.0 t_1 = math.sqrt(2.0) * -0.0625 t_2 = 2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * t_1)) t_3 = math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0) t_4 = 3.0 * ((1.0 + (math.cos(x) * (t_0 / 2.0))) + t_3) tmp = 0 if x <= -0.00105: tmp = t_2 / (3.0 * (t_3 + (1.0 + (math.cos(x) / (2.0 / t_0))))) elif x <= 8e-11: tmp = (2.0 + (t_1 * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0)))) / t_4 else: tmp = t_2 / t_4 return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sqrt(2.0) * -0.0625) t_2 = Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * t_1))) t_3 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_4 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + t_3)) tmp = 0.0 if (x <= -0.00105) tmp = Float64(t_2 / Float64(3.0 * Float64(t_3 + Float64(1.0 + Float64(cos(x) / Float64(2.0 / t_0)))))); elseif (x <= 8e-11) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_4); else tmp = Float64(t_2 / t_4); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) + -1.0; t_1 = sqrt(2.0) * -0.0625; t_2 = 2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * t_1)); t_3 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0); t_4 = 3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + t_3); tmp = 0.0; if (x <= -0.00105) tmp = t_2 / (3.0 * (t_3 + (1.0 + (cos(x) / (2.0 / t_0))))); elseif (x <= 8e-11) tmp = (2.0 + (t_1 * ((1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_4; else tmp = t_2 / t_4; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00105], N[(t$95$2 / N[(3.0 * N[(t$95$3 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] / N[(2.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8e-11], N[(N[(2.0 + N[(t$95$1 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision], N[(t$95$2 / t$95$4), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \sqrt{2} \cdot -0.0625\\
t_2 := 2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot t_1\right)\\
t_3 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_4 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + t_3\right)\\
\mathbf{if}\;x \leq -0.00105:\\
\;\;\;\;\frac{t_2}{3 \cdot \left(t_3 + \left(1 + \frac{\cos x}{\frac{2}{t_0}}\right)\right)}\\
\mathbf{elif}\;x \leq 8 \cdot 10^{-11}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)}{t_4}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_2}{t_4}\\
\end{array}
\end{array}
if x < -0.00104999999999999994Initial program 98.8%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
*-commutative57.4%
Simplified57.4%
associate-*l/57.4%
*-commutative57.4%
sub-neg57.4%
metadata-eval57.4%
Applied egg-rr57.4%
metadata-eval57.4%
sub-neg57.4%
associate-/l*57.4%
sub-neg57.4%
metadata-eval57.4%
Simplified57.4%
if -0.00104999999999999994 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
Simplified99.6%
if 7.99999999999999952e-11 < x Initial program 99.1%
Taylor expanded in y around 0 57.6%
associate-*r*57.6%
*-commutative57.6%
Simplified57.6%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (+ 2.0 (* (- (cos x) (cos y)) (* (pow (sin x) 2.0) t_0))))
(t_2 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_3 (* 3.0 (+ t_2 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (<= x -0.00075)
(/ t_1 (* 3.0 (+ t_2 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= x 8e-11)
(/ (+ 2.0 (* t_0 (* (- 1.0 (cos y)) (pow (sin y) 2.0)))) t_3)
(/ t_1 t_3)))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = 2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * t_0));
double t_2 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_3 = 3.0 * (t_2 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if (x <= -0.00075) {
tmp = t_1 / (3.0 * (t_2 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + (t_0 * ((1.0 - cos(y)) * pow(sin(y), 2.0)))) / t_3;
} else {
tmp = t_1 / t_3;
}
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(2.0d0) * (-0.0625d0)
t_1 = 2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * t_0))
t_2 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
t_3 = 3.0d0 * (t_2 + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if (x <= (-0.00075d0)) then
tmp = t_1 / (3.0d0 * (t_2 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else if (x <= 8d-11) then
tmp = (2.0d0 + (t_0 * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0)))) / t_3
else
tmp = t_1 / t_3
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = 2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * t_0));
double t_2 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double t_3 = 3.0 * (t_2 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if (x <= -0.00075) {
tmp = t_1 / (3.0 * (t_2 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else if (x <= 8e-11) {
tmp = (2.0 + (t_0 * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0)))) / t_3;
} else {
tmp = t_1 / t_3;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = 2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * t_0)) t_2 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) t_3 = 3.0 * (t_2 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) tmp = 0 if x <= -0.00075: tmp = t_1 / (3.0 * (t_2 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) elif x <= 8e-11: tmp = (2.0 + (t_0 * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0)))) / t_3 else: tmp = t_1 / t_3 return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * t_0))) t_2 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_3 = Float64(3.0 * Float64(t_2 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if (x <= -0.00075) tmp = Float64(t_1 / Float64(3.0 * Float64(t_2 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (x <= 8e-11) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_3); else tmp = Float64(t_1 / t_3); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = 2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * t_0)); t_2 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); t_3 = 3.0 * (t_2 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if (x <= -0.00075) tmp = t_1 / (3.0 * (t_2 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); elseif (x <= 8e-11) tmp = (2.0 + (t_0 * ((1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_3; else tmp = t_1 / t_3; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 * N[(t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00075], N[(t$95$1 / N[(3.0 * N[(t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8e-11], N[(N[(2.0 + N[(t$95$0 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], N[(t$95$1 / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := 2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot t_0\right)\\
t_2 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_3 := 3 \cdot \left(t_2 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.00075:\\
\;\;\;\;\frac{t_1}{3 \cdot \left(t_2 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;x \leq 8 \cdot 10^{-11}:\\
\;\;\;\;\frac{2 + t_0 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)}{t_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{t_3}\\
\end{array}
\end{array}
if x < -7.5000000000000002e-4Initial program 98.8%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
*-commutative57.4%
Simplified57.4%
flip--57.3%
metadata-eval57.3%
add-sqr-sqrt57.4%
metadata-eval57.4%
Applied egg-rr57.4%
if -7.5000000000000002e-4 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
Simplified99.6%
if 7.99999999999999952e-11 < x Initial program 99.1%
Taylor expanded in y around 0 57.6%
associate-*r*57.6%
*-commutative57.6%
Simplified57.6%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -5.4e-6) (not (<= y 2.35e-24)))
(/
(+ 2.0 (* (* (sqrt 2.0) -0.0625) (* (- 1.0 (cos y)) (pow (sin y) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(+ 3.0 (+ 4.5 (- (* (cos x) (* 1.5 t_0)) (* (sqrt 5.0) 1.5))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -5.4e-6) || !(y <= 2.35e-24)) {
tmp = (2.0 + ((sqrt(2.0) * -0.0625) * ((1.0 - cos(y)) * pow(sin(y), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + ((cos(x) * (1.5 * t_0)) - (sqrt(5.0) * 1.5))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -5.4e-6) || !(y <= 2.35e-24)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * -0.0625) * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(Float64(cos(x) * Float64(1.5 * t_0)) - Float64(sqrt(5.0) * 1.5))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -5.4e-6], N[Not[LessEqual[y, 2.35e-24]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -5.4 \cdot 10^{-6} \lor \neg \left(y \leq 2.35 \cdot 10^{-24}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot -0.0625\right) \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + \left(\cos x \cdot \left(1.5 \cdot t_0\right) - \sqrt{5} \cdot 1.5\right)\right)}\\
\end{array}
\end{array}
if y < -5.39999999999999997e-6 or 2.34999999999999996e-24 < y Initial program 99.1%
Taylor expanded in x around inf 99.0%
*-commutative99.0%
associate-*r*99.1%
*-commutative99.1%
*-commutative99.1%
*-commutative99.1%
cancel-sign-sub-inv99.1%
metadata-eval99.1%
cancel-sign-sub-inv99.1%
metadata-eval99.1%
Simplified99.1%
Taylor expanded in x around 0 59.3%
associate-*r*59.3%
Simplified59.3%
if -5.39999999999999997e-6 < y < 2.34999999999999996e-24Initial program 99.6%
Simplified99.5%
Taylor expanded in y around 0 99.6%
associate--l+99.5%
associate-*r*99.6%
*-commutative99.6%
*-commutative99.6%
fma-neg99.6%
*-lft-identity99.6%
fma-neg99.6%
*-lft-identity99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around 0 99.6%
Final simplification79.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (or (<= x -0.00105) (not (<= x 8e-11)))
(/ (+ 2.0 (* (* (pow (sin x) 2.0) t_0) (+ (cos x) -1.0))) t_1)
(/ (+ 2.0 (* t_0 (* (- 1.0 (cos y)) (pow (sin y) 2.0)))) t_1))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.00105) || !(x <= 8e-11)) {
tmp = (2.0 + ((pow(sin(x), 2.0) * t_0) * (cos(x) + -1.0))) / t_1;
} else {
tmp = (2.0 + (t_0 * ((1.0 - cos(y)) * pow(sin(y), 2.0)))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(2.0d0) * (-0.0625d0)
t_1 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if ((x <= (-0.00105d0)) .or. (.not. (x <= 8d-11))) then
tmp = (2.0d0 + (((sin(x) ** 2.0d0) * t_0) * (cos(x) + (-1.0d0)))) / t_1
else
tmp = (2.0d0 + (t_0 * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0)))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.00105) || !(x <= 8e-11)) {
tmp = (2.0 + ((Math.pow(Math.sin(x), 2.0) * t_0) * (Math.cos(x) + -1.0))) / t_1;
} else {
tmp = (2.0 + (t_0 * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0)))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) tmp = 0 if (x <= -0.00105) or not (x <= 8e-11): tmp = (2.0 + ((math.pow(math.sin(x), 2.0) * t_0) * (math.cos(x) + -1.0))) / t_1 else: tmp = (2.0 + (t_0 * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0)))) / t_1 return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if ((x <= -0.00105) || !(x <= 8e-11)) tmp = Float64(Float64(2.0 + Float64(Float64((sin(x) ^ 2.0) * t_0) * Float64(cos(x) + -1.0))) / t_1); else tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if ((x <= -0.00105) || ~((x <= 8e-11))) tmp = (2.0 + (((sin(x) ^ 2.0) * t_0) * (cos(x) + -1.0))) / t_1; else tmp = (2.0 + (t_0 * ((1.0 - cos(y)) * (sin(y) ^ 2.0)))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00105], N[Not[LessEqual[x, 8e-11]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(t$95$0 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.00105 \lor \neg \left(x \leq 8 \cdot 10^{-11}\right):\\
\;\;\;\;\frac{2 + \left({\sin x}^{2} \cdot t_0\right) \cdot \left(\cos x + -1\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_0 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.00104999999999999994 or 7.99999999999999952e-11 < x Initial program 98.9%
Taylor expanded in y around 0 57.5%
associate-*r*57.5%
*-commutative57.5%
Simplified57.5%
Taylor expanded in y around 0 57.5%
if -0.00104999999999999994 < x < 7.99999999999999952e-11Initial program 99.7%
Taylor expanded in x around inf 99.7%
*-commutative99.7%
associate-*r*99.7%
*-commutative99.7%
*-commutative99.7%
*-commutative99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
Simplified99.6%
Final simplification79.2%
(FPCore (x y) :precision binary64 (/ (fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0) (+ 3.0 (+ 4.5 (- (* (cos x) (* 1.5 (+ (sqrt 5.0) -1.0))) (* (sqrt 5.0) 1.5))))))
double code(double x, double y) {
return fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / (3.0 + (4.5 + ((cos(x) * (1.5 * (sqrt(5.0) + -1.0))) - (sqrt(5.0) * 1.5))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(Float64(cos(x) * Float64(1.5 * Float64(sqrt(5.0) + -1.0))) - Float64(sqrt(5.0) * 1.5))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{3 + \left(4.5 + \left(\cos x \cdot \left(1.5 \cdot \left(\sqrt{5} + -1\right)\right) - \sqrt{5} \cdot 1.5\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around 0 61.1%
associate--l+61.1%
associate-*r*61.1%
*-commutative61.1%
*-commutative61.1%
fma-neg61.1%
*-lft-identity61.1%
fma-neg61.1%
*-lft-identity61.1%
sub-neg61.1%
metadata-eval61.1%
Simplified61.1%
Taylor expanded in x around 0 45.7%
Final simplification45.7%
(FPCore (x y) :precision binary64 (/ (fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0) (+ 3.0 (+ 4.5 (- (* (cos x) (* 1.5 (+ (sqrt 5.0) -1.0))) (* (sqrt 5.0) 1.5))))))
double code(double x, double y) {
return fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + ((cos(x) * (1.5 * (sqrt(5.0) + -1.0))) - (sqrt(5.0) * 1.5))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(Float64(cos(x) * Float64(1.5 * Float64(sqrt(5.0) + -1.0))) - Float64(sqrt(5.0) * 1.5))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + \left(\cos x \cdot \left(1.5 \cdot \left(\sqrt{5} + -1\right)\right) - \sqrt{5} \cdot 1.5\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around 0 61.1%
associate--l+61.1%
associate-*r*61.1%
*-commutative61.1%
*-commutative61.1%
fma-neg61.1%
*-lft-identity61.1%
fma-neg61.1%
*-lft-identity61.1%
sub-neg61.1%
metadata-eval61.1%
Simplified61.1%
Taylor expanded in y around 0 60.7%
Final simplification60.7%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* (- 1.0 (cos y)) (* (* (sqrt 2.0) -0.0625) (* x x))))
(*
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 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * (x * x)))) / (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 + ((1.0d0 - cos(y)) * ((sqrt(2.0d0) * (-0.0625d0)) * (x * x)))) / (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 + ((1.0 - Math.cos(y)) * ((Math.sqrt(2.0) * -0.0625) * (x * x)))) / (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 + ((1.0 - math.cos(y)) * ((math.sqrt(2.0) * -0.0625) * (x * x)))) / (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(1.0 - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * Float64(x * x)))) / 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 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * (x * x)))) / (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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(x * x), $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(1 - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot \left(x \cdot x\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 99.3%
Taylor expanded in y around 0 63.0%
associate-*r*63.0%
*-commutative63.0%
Simplified63.0%
Taylor expanded in x around 0 37.1%
associate-*r*37.1%
*-commutative37.1%
unpow237.1%
Simplified37.1%
Taylor expanded in x around 0 38.6%
Final simplification38.6%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* (- 1.0 (cos y)) (* (* (sqrt 2.0) -0.0625) (* x x))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (+ -0.5 (* (sqrt 5.0) 0.5)))))))
double code(double x, double y) {
return (2.0 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * (x * x)))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + (-0.5 + (sqrt(5.0) * 0.5)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((1.0d0 - cos(y)) * ((sqrt(2.0d0) * (-0.0625d0)) * (x * x)))) / (3.0d0 * ((cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)) + (1.0d0 + ((-0.5d0) + (sqrt(5.0d0) * 0.5d0)))))
end function
public static double code(double x, double y) {
return (2.0 + ((1.0 - Math.cos(y)) * ((Math.sqrt(2.0) * -0.0625) * (x * x)))) / (3.0 * ((Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)) + (1.0 + (-0.5 + (Math.sqrt(5.0) * 0.5)))));
}
def code(x, y): return (2.0 + ((1.0 - math.cos(y)) * ((math.sqrt(2.0) * -0.0625) * (x * x)))) / (3.0 * ((math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)) + (1.0 + (-0.5 + (math.sqrt(5.0) * 0.5)))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * Float64(x * x)))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(-0.5 + Float64(sqrt(5.0) * 0.5)))))) end
function tmp = code(x, y) tmp = (2.0 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * (x * x)))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + (-0.5 + (sqrt(5.0) * 0.5))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(x * x), $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[(-0.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(1 - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot \left(x \cdot x\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(-0.5 + \sqrt{5} \cdot 0.5\right)\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 63.0%
associate-*r*63.0%
*-commutative63.0%
Simplified63.0%
Taylor expanded in x around 0 37.1%
associate-*r*37.1%
*-commutative37.1%
unpow237.1%
Simplified37.1%
Taylor expanded in x around 0 37.1%
sub-neg37.1%
metadata-eval37.1%
+-commutative37.1%
distribute-lft-in37.1%
metadata-eval37.1%
Simplified37.1%
Taylor expanded in x around 0 37.8%
Final simplification37.8%
herbie shell --seed 2023258
(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))))))