
(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
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(log
(exp
(* (- (sin x) (* 0.0625 (sin y))) (+ (sin y) (* (sin x) -0.0625))))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * log(exp(((sin(x) - (0.0625 * sin(y))) * (sin(y) + (sin(x) * -0.0625)))))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * log(exp(((sin(x) - (0.0625d0 * sin(y))) * (sin(y) + (sin(x) * (-0.0625d0))))))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * Math.log(Math.exp(((Math.sin(x) - (0.0625 * Math.sin(y))) * (Math.sin(y) + (Math.sin(x) * -0.0625)))))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * math.log(math.exp(((math.sin(x) - (0.0625 * math.sin(y))) * (math.sin(y) + (math.sin(x) * -0.0625)))))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * log(exp(Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) + Float64(sin(x) * -0.0625)))))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * log(exp(((sin(x) - (0.0625 * sin(y))) * (sin(y) + (sin(x) * -0.0625)))))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Log[N[Exp[N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \log \left(e^{\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y + \sin x \cdot -0.0625\right)}\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around inf 99.4%
distribute-lft-out99.3%
*-commutative99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in x around -inf 99.4%
add-log-exp99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (sin y) (* (sin x) 0.0625))
(* (- (cos x) (cos y)) (- (sin x) (* 0.0625 (sin y)))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(y) - (sin(x) * 0.0625)) * ((cos(x) - cos(y)) * (sin(x) - (0.0625 * sin(y))))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(y) - (sin(x) * 0.0625d0)) * ((cos(x) - cos(y)) * (sin(x) - (0.0625d0 * sin(y))))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(y) - (Math.sin(x) * 0.0625)) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(x) - (0.0625 * Math.sin(y))))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(y) - (math.sin(x) * 0.0625)) * ((math.cos(x) - math.cos(y)) * (math.sin(x) - (0.0625 * math.sin(y))))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(y) - Float64(sin(x) * 0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) - Float64(0.0625 * sin(y))))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(y) - (sin(x) * 0.0625)) * ((cos(x) - cos(y)) * (sin(x) - (0.0625 * sin(y))))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin y - \sin x \cdot 0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin x - 0.0625 \cdot \sin y\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around inf 99.4%
distribute-lft-out99.3%
*-commutative99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(* (- (sin x) (* 0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((sin(x) - (0.0625d0 * sin(y))) * (sin(y) - (sin(x) * 0.0625d0)))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * ((Math.sin(x) - (0.0625 * Math.sin(y))) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * ((math.sin(x) - (0.0625 * math.sin(y))) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around inf 99.4%
distribute-lft-out99.3%
*-commutative99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in x around -inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0))))
(if (or (<= x -0.104) (not (<= x 0.122)))
(/
(fma
(* (sqrt 2.0) (sin x))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0)))
2.0)
(+
3.0
(+ (* (cos y) (- 4.5 (/ (sqrt 5.0) 0.6666666666666666))) (* 1.5 t_0))))
(/
(+
2.0
(*
(sqrt 2.0)
(*
(* (- (sin x) (* 0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625)))
(- (+ 1.0 (* -0.5 (* x x))) (cos y)))))
(+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) t_0)))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double tmp;
if ((x <= -0.104) || !(x <= 0.122)) {
tmp = fma((sqrt(2.0) * sin(x)), ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))), 2.0) / (3.0 + ((cos(y) * (4.5 - (sqrt(5.0) / 0.6666666666666666))) + (1.5 * t_0)));
} else {
tmp = (2.0 + (sqrt(2.0) * (((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))) * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) tmp = 0.0 if ((x <= -0.104) || !(x <= 0.122)) tmp = Float64(fma(Float64(sqrt(2.0) * sin(x)), Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - Float64(sqrt(5.0) / 0.6666666666666666))) + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625))) * Float64(Float64(1.0 + Float64(-0.5 * Float64(x * x))) - cos(y))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + t_0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.104], N[Not[LessEqual[x, 0.122]], $MachinePrecision]], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - N[(N[Sqrt[5.0], $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
\mathbf{if}\;x \leq -0.104 \lor \neg \left(x \leq 0.122\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \sin x, \left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right), 2\right)}{3 + \left(\cos y \cdot \left(4.5 - \frac{\sqrt{5}}{0.6666666666666666}\right) + 1.5 \cdot t_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right) \cdot \left(\left(1 + -0.5 \cdot \left(x \cdot x\right)\right) - \cos y\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + t_0\right)}\\
\end{array}
\end{array}
if x < -0.103999999999999995 or 0.122 < x Initial program 98.9%
+-commutative98.9%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.9%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified99.0%
fma-udef99.1%
div-sub99.1%
metadata-eval99.1%
div-inv99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in y around 0 61.4%
if -0.103999999999999995 < x < 0.122Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around -inf 99.6%
Taylor expanded in x around 0 99.0%
unpow297.8%
Simplified99.0%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0))))
(if (or (<= x -0.108) (not (<= x 0.034)))
(/
(fma
(* (sqrt 2.0) (sin x))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0)))
2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (- 3.0 (sqrt 5.0)))))))
(/
(+
2.0
(*
(sqrt 2.0)
(*
(* (- (sin x) (* 0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625)))
(- (+ 1.0 (* -0.5 (* x x))) (cos y)))))
(+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) t_0)))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double tmp;
if ((x <= -0.108) || !(x <= 0.034)) {
tmp = fma((sqrt(2.0) * sin(x)), ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (3.0 - sqrt(5.0))))));
} else {
tmp = (2.0 + (sqrt(2.0) * (((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))) * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) tmp = 0.0 if ((x <= -0.108) || !(x <= 0.034)) tmp = Float64(fma(Float64(sqrt(2.0) * sin(x)), Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625))) * Float64(Float64(1.0 + Float64(-0.5 * Float64(x * x))) - cos(y))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + t_0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.108], N[Not[LessEqual[x, 0.034]], $MachinePrecision]], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
\mathbf{if}\;x \leq -0.108 \lor \neg \left(x \leq 0.034\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \sin x, \left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right) \cdot \left(\left(1 + -0.5 \cdot \left(x \cdot x\right)\right) - \cos y\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + t_0\right)}\\
\end{array}
\end{array}
if x < -0.107999999999999999 or 0.034000000000000002 < x Initial program 98.9%
+-commutative98.9%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.9%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around inf 99.1%
distribute-lft-out99.0%
*-commutative99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.3%
if -0.107999999999999999 < x < 0.034000000000000002Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around -inf 99.6%
Taylor expanded in x around 0 99.0%
unpow297.8%
Simplified99.0%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.105) (not (<= x 0.065)))
(/
(+
2.0
(*
(* (sqrt 2.0) (sin x))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(sqrt 2.0)
(*
(* (- (sin x) (* 0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625)))
(- (+ 1.0 (* -0.5 (* x x))) (cos y)))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.105) || !(x <= 0.065)) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (sqrt(2.0) * (((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))) * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((x <= (-0.105d0)) .or. (.not. (x <= 0.065d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (sqrt(2.0d0) * (((sin(x) - (0.0625d0 * sin(y))) * (sin(y) - (sin(x) * 0.0625d0))) * ((1.0d0 + ((-0.5d0) * (x * x))) - cos(y))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.105) || !(x <= 0.065)) {
tmp = (2.0 + ((Math.sqrt(2.0) * Math.sin(x)) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(y) - (Math.sin(x) / 16.0))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (Math.sqrt(2.0) * (((Math.sin(x) - (0.0625 * Math.sin(y))) * (Math.sin(y) - (Math.sin(x) * 0.0625))) * ((1.0 + (-0.5 * (x * x))) - Math.cos(y))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -0.105) or not (x <= 0.065): tmp = (2.0 + ((math.sqrt(2.0) * math.sin(x)) * ((math.cos(x) - math.cos(y)) * (math.sin(y) - (math.sin(x) / 16.0))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (math.sqrt(2.0) * (((math.sin(x) - (0.0625 * math.sin(y))) * (math.sin(y) - (math.sin(x) * 0.0625))) * ((1.0 + (-0.5 * (x * x))) - math.cos(y))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.105) || !(x <= 0.065)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625))) * Float64(Float64(1.0 + Float64(-0.5 * Float64(x * x))) - cos(y))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -0.105) || ~((x <= 0.065))) tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (sqrt(2.0) * (((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))) * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.105], N[Not[LessEqual[x, 0.065]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.105 \lor \neg \left(x \leq 0.065\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right) \cdot \left(\left(1 + -0.5 \cdot \left(x \cdot x\right)\right) - \cos y\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -0.104999999999999996 or 0.065000000000000002 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around 0 61.3%
if -0.104999999999999996 < x < 0.065000000000000002Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around -inf 99.6%
Taylor expanded in x around 0 99.0%
unpow297.8%
Simplified99.0%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.0052) (not (<= x 0.0058)))
(/
(+
2.0
(*
(* (sqrt 2.0) (sin x))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(sqrt 2.0)
(*
(* (- (sin x) (* 0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625)))
(- 1.0 (cos y)))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.0052) || !(x <= 0.0058)) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (sqrt(2.0) * (((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))) * (1.0 - cos(y))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((x <= (-0.0052d0)) .or. (.not. (x <= 0.0058d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (sqrt(2.0d0) * (((sin(x) - (0.0625d0 * sin(y))) * (sin(y) - (sin(x) * 0.0625d0))) * (1.0d0 - cos(y))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.0052) || !(x <= 0.0058)) {
tmp = (2.0 + ((Math.sqrt(2.0) * Math.sin(x)) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(y) - (Math.sin(x) / 16.0))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (Math.sqrt(2.0) * (((Math.sin(x) - (0.0625 * Math.sin(y))) * (Math.sin(y) - (Math.sin(x) * 0.0625))) * (1.0 - Math.cos(y))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -0.0052) or not (x <= 0.0058): tmp = (2.0 + ((math.sqrt(2.0) * math.sin(x)) * ((math.cos(x) - math.cos(y)) * (math.sin(y) - (math.sin(x) / 16.0))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (math.sqrt(2.0) * (((math.sin(x) - (0.0625 * math.sin(y))) * (math.sin(y) - (math.sin(x) * 0.0625))) * (1.0 - math.cos(y))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.0052) || !(x <= 0.0058)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625))) * Float64(1.0 - cos(y))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -0.0052) || ~((x <= 0.0058))) tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (sqrt(2.0) * (((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))) * (1.0 - cos(y))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.0052], N[Not[LessEqual[x, 0.0058]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.0052 \lor \neg \left(x \leq 0.0058\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right) \cdot \left(1 - \cos y\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -0.0051999999999999998 or 0.0058 < 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 -0.0051999999999999998 < x < 0.0058Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around -inf 99.6%
Taylor expanded in x around 0 99.1%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.00016) (not (<= x 0.0036)))
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (cos x) (cos y)) t_1)))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* t_1 (- (+ 1.0 (* -0.5 (* x x))) (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_2 (* (cos y) (- 1.5 t_2))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.00016) || !(x <= 0.0036)) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * t_1))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_1 * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 * (1.0 + ((t_2 + (cos(y) * (1.5 - t_2))) - 0.5)));
}
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 = sin(y) - (sin(x) / 16.0d0)
t_2 = sqrt(5.0d0) * 0.5d0
if ((x <= (-0.00016d0)) .or. (.not. (x <= 0.0036d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * sin(x)) * ((cos(x) - cos(y)) * t_1))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (t_1 * ((1.0d0 + ((-0.5d0) * (x * x))) - cos(y))))) / (3.0d0 * (1.0d0 + ((t_2 + (cos(y) * (1.5d0 - t_2))) - 0.5d0)))
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.sin(y) - (Math.sin(x) / 16.0);
double t_2 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.00016) || !(x <= 0.0036)) {
tmp = (2.0 + ((Math.sqrt(2.0) * Math.sin(x)) * ((Math.cos(x) - Math.cos(y)) * t_1))) / (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) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (t_1 * ((1.0 + (-0.5 * (x * x))) - Math.cos(y))))) / (3.0 * (1.0 + ((t_2 + (Math.cos(y) * (1.5 - t_2))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.sin(y) - (math.sin(x) / 16.0) t_2 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -0.00016) or not (x <= 0.0036): tmp = (2.0 + ((math.sqrt(2.0) * math.sin(x)) * ((math.cos(x) - math.cos(y)) * t_1))) / (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) * (math.sin(x) - (math.sin(y) / 16.0))) * (t_1 * ((1.0 + (-0.5 * (x * x))) - math.cos(y))))) / (3.0 * (1.0 + ((t_2 + (math.cos(y) * (1.5 - t_2))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.00016) || !(x <= 0.0036)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(cos(x) - cos(y)) * 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)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(t_1 * Float64(Float64(1.0 + Float64(-0.5 * Float64(x * x))) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_2 + Float64(cos(y) * Float64(1.5 - t_2))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sin(y) - (sin(x) / 16.0); t_2 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -0.00016) || ~((x <= 0.0036))) tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * t_1))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_1 * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 * (1.0 + ((t_2 + (cos(y) * (1.5 - t_2))) - 0.5))); 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[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.00016], N[Not[LessEqual[x, 0.0036]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $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[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[(1.0 + N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.00016 \lor \neg \left(x \leq 0.0036\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot t_1\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(t_1 \cdot \left(\left(1 + -0.5 \cdot \left(x \cdot x\right)\right) - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_2 + \cos y \cdot \left(1.5 - t_2\right)\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -1.60000000000000013e-4 or 0.0035999999999999999 < 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 -1.60000000000000013e-4 < x < 0.0035999999999999999Initial program 99.5%
associate-*l*99.5%
associate-+l+99.5%
*-commutative99.5%
div-sub99.5%
metadata-eval99.5%
*-commutative99.5%
div-sub99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.8%
unpow298.8%
Simplified98.8%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (cos x) (cos y))))
(if (or (<= x -0.00096) (not (<= x 0.0036)))
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* t_1 (- (sin y) (/ (sin x) 16.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(sqrt 2.0)
(*
t_1
(* (- (sin x) (* 0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625))))))
(+
3.0
(*
1.5
(+ (sqrt 5.0) (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) -1.0))))))))
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 <= -0.00096) || !(x <= 0.0036)) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * (t_1 * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (sqrt(2.0) * (t_1 * ((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + -1.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = cos(x) - cos(y)
if ((x <= (-0.00096d0)) .or. (.not. (x <= 0.0036d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * sin(x)) * (t_1 * (sin(y) - (sin(x) / 16.0d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (sqrt(2.0d0) * (t_1 * ((sin(x) - (0.0625d0 * sin(y))) * (sin(y) - (sin(x) * 0.0625d0)))))) / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (-1.0d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double t_1 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -0.00096) || !(x <= 0.0036)) {
tmp = (2.0 + ((Math.sqrt(2.0) * Math.sin(x)) * (t_1 * (Math.sin(y) - (Math.sin(x) / 16.0))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (Math.sqrt(2.0) * (t_1 * ((Math.sin(x) - (0.0625 * Math.sin(y))) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (3.0 + (1.5 * (Math.sqrt(5.0) + ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + -1.0))));
}
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 <= -0.00096) or not (x <= 0.0036): tmp = (2.0 + ((math.sqrt(2.0) * math.sin(x)) * (t_1 * (math.sin(y) - (math.sin(x) / 16.0))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + (math.sqrt(2.0) * (t_1 * ((math.sin(x) - (0.0625 * math.sin(y))) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (3.0 + (1.5 * (math.sqrt(5.0) + ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + -1.0)))) 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 <= -0.00096) || !(x <= 0.0036)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(t_1 * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(t_1 * Float64(Float64(sin(x) - Float64(0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 + Float64(1.5 * Float64(sqrt(5.0) + Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + -1.0))))); 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 <= -0.00096) || ~((x <= 0.0036))) tmp = (2.0 + ((sqrt(2.0) * sin(x)) * (t_1 * (sin(y) - (sin(x) / 16.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (sqrt(2.0) * (t_1 * ((sin(x) - (0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + -1.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00096], N[Not[LessEqual[x, 0.0036]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $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 -0.00096 \lor \neg \left(x \leq 0.0036\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(t_1 \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(t_1 \cdot \left(\left(\sin x - 0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -9.60000000000000024e-4 or 0.0035999999999999999 < 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 -9.60000000000000024e-4 < x < 0.0035999999999999999Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around -inf 99.6%
Taylor expanded in x around 0 98.8%
associate--l+98.9%
Simplified98.9%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (<= x -0.00036)
(/
(fma (* (sqrt 2.0) (sin x)) (* t_2 (+ (cos x) -1.0)) 2.0)
(+ 3.0 (* 1.5 (+ t_1 (* (cos y) (- 3.0 (sqrt 5.0)))))))
(if (<= x 0.0035)
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* t_2 (- (+ 1.0 (* -0.5 (* x x))) (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5))))
(/
(+
2.0
(* (sqrt 2.0) (* (- (cos x) (cos y)) (* -0.0625 (pow (sin x) 2.0)))))
(+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = cos(x) * (sqrt(5.0) + -1.0);
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if (x <= -0.00036) {
tmp = fma((sqrt(2.0) * sin(x)), (t_2 * (cos(x) + -1.0)), 2.0) / (3.0 + (1.5 * (t_1 + (cos(y) * (3.0 - sqrt(5.0))))));
} else if (x <= 0.0035) {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_2 * ((1.0 + (-0.5 * (x * x))) - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5)));
} else {
tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + t_1)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if (x <= -0.00036) tmp = Float64(fma(Float64(sqrt(2.0) * sin(x)), Float64(t_2 * Float64(cos(x) + -1.0)), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_1 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); elseif (x <= 0.0035) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(t_2 * Float64(Float64(1.0 + Float64(-0.5 * Float64(x * x))) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + t_1)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00036], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0035], 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[(N[(1.0 + N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.00036:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \sin x, t_2 \cdot \left(\cos x + -1\right), 2\right)}{3 + 1.5 \cdot \left(t_1 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{elif}\;x \leq 0.0035:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(t_2 \cdot \left(\left(1 + -0.5 \cdot \left(x \cdot x\right)\right) - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \cos y \cdot \left(1.5 - t_0\right)\right) - 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + t_1\right)}\\
\end{array}
\end{array}
if x < -3.60000000000000023e-4Initial program 99.0%
+-commutative99.0%
associate-*l*99.1%
fma-def99.0%
associate-+l+99.1%
distribute-lft-in99.1%
metadata-eval99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.1%
*-commutative99.1%
*-commutative99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
Taylor expanded in y around 0 60.0%
Taylor expanded in y around 0 56.6%
if -3.60000000000000023e-4 < x < 0.00350000000000000007Initial program 99.5%
associate-*l*99.5%
associate-+l+99.5%
*-commutative99.5%
div-sub99.5%
metadata-eval99.5%
*-commutative99.5%
div-sub99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.8%
unpow298.8%
Simplified98.8%
if 0.00350000000000000007 < x Initial program 98.8%
+-commutative98.8%
associate-*l*98.8%
fma-def98.7%
associate-+l+98.7%
distribute-lft-in98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
*-commutative98.9%
*-commutative98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around -inf 99.1%
Taylor expanded in y around 0 59.7%
Final simplification78.0%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (or (<= x -0.00088) (not (<= x 0.0035)))
(/
(+
2.0
(* (sqrt 2.0) (* (- (cos x) (cos y)) (* -0.0625 (pow (sin x) 2.0)))))
t_0)
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if ((x <= -0.00088) || !(x <= 0.0035)) {
tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * (-0.0625 * pow(sin(x), 2.0))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = 3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
if ((x <= (-0.00088d0)) .or. (.not. (x <= 0.0035d0))) then
tmp = (2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((-0.0625d0) * (sin(x) ** 2.0d0))))) / t_0
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double tmp;
if ((x <= -0.00088) || !(x <= 0.0035)) {
tmp = (2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * (-0.0625 * Math.pow(Math.sin(x), 2.0))))) / t_0;
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) tmp = 0 if (x <= -0.00088) or not (x <= 0.0035): tmp = (2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * (-0.0625 * math.pow(math.sin(x), 2.0))))) / t_0 else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if ((x <= -0.00088) || !(x <= 0.0035)) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))); tmp = 0.0; if ((x <= -0.00088) || ~((x <= 0.0035))) tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * (-0.0625 * (sin(x) ^ 2.0))))) / t_0; else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00088], N[Not[LessEqual[x, 0.0035]], $MachinePrecision]], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;x \leq -0.00088 \lor \neg \left(x \leq 0.0035\right):\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t_0}\\
\end{array}
\end{array}
if x < -8.80000000000000031e-4 or 0.00350000000000000007 < x Initial program 98.9%
+-commutative98.9%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.9%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified99.1%
Taylor expanded in y around inf 99.1%
distribute-lft-out99.0%
*-commutative99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.9%
metadata-eval98.9%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around -inf 99.1%
Taylor expanded in y around 0 58.1%
if -8.80000000000000031e-4 < x < 0.00350000000000000007Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around -inf 99.6%
Taylor expanded in x around 0 98.7%
associate-*r*98.7%
*-commutative98.7%
Simplified98.7%
Final simplification77.9%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0))))))
(t_1 (pow (sin y) 2.0)))
(if (<= y -0.0009)
(/ (+ 2.0 (* -0.0625 (* t_1 (* (sqrt 2.0) (- 1.0 (cos y)))))) t_0)
(if (<= y 0.00085)
(/
(+
2.0
(* (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0)))))
t_0)
(/
(+ 2.0 (* (sqrt 2.0) (* (- (cos x) (cos y)) (* -0.0625 t_1))))
t_0)))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))));
double t_1 = pow(sin(y), 2.0);
double tmp;
if (y <= -0.0009) {
tmp = (2.0 + (-0.0625 * (t_1 * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
} else if (y <= 0.00085) {
tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))))) / t_0;
} else {
tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * (-0.0625 * t_1)))) / t_0;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
t_1 = sin(y) ** 2.0d0
if (y <= (-0.0009d0)) then
tmp = (2.0d0 + ((-0.0625d0) * (t_1 * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
else if (y <= 0.00085d0) then
tmp = (2.0d0 + (sqrt(2.0d0) * ((-0.0625d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))) / t_0
else
tmp = (2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((-0.0625d0) * t_1)))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double t_1 = Math.pow(Math.sin(y), 2.0);
double tmp;
if (y <= -0.0009) {
tmp = (2.0 + (-0.0625 * (t_1 * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
} else if (y <= 0.00085) {
tmp = (2.0 + (Math.sqrt(2.0) * (-0.0625 * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))))) / t_0;
} else {
tmp = (2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * (-0.0625 * t_1)))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) t_1 = math.pow(math.sin(y), 2.0) tmp = 0 if y <= -0.0009: tmp = (2.0 + (-0.0625 * (t_1 * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 elif y <= 0.00085: tmp = (2.0 + (math.sqrt(2.0) * (-0.0625 * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0))))) / t_0 else: tmp = (2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * (-0.0625 * t_1)))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) t_1 = sin(y) ^ 2.0 tmp = 0.0 if (y <= -0.0009) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_1 * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); elseif (y <= 0.00085) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * t_1)))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))); t_1 = sin(y) ^ 2.0; tmp = 0.0; if (y <= -0.0009) tmp = (2.0 + (-0.0625 * (t_1 * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; elseif (y <= 0.00085) tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((cos(x) + -1.0) * (sin(x) ^ 2.0))))) / t_0; else tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * (-0.0625 * t_1)))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[y, -0.0009], N[(N[(2.0 + N[(-0.0625 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[y, 0.00085], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
t_1 := {\sin y}^{2}\\
\mathbf{if}\;y \leq -0.0009:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t_1 \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t_0}\\
\mathbf{elif}\;y \leq 0.00085:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot t_1\right)\right)}{t_0}\\
\end{array}
\end{array}
if y < -8.9999999999999998e-4Initial program 98.9%
+-commutative98.9%
associate-*l*99.0%
fma-def98.9%
associate-+l+99.0%
distribute-lft-in99.1%
metadata-eval99.1%
Simplified99.1%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.1%
*-commutative99.1%
*-commutative99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
add-sqr-sqrt99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in x around -inf 99.2%
Taylor expanded in x around 0 60.7%
associate-*r*60.7%
*-commutative60.7%
Simplified60.7%
if -8.9999999999999998e-4 < y < 8.49999999999999953e-4Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.6%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around -inf 99.7%
Taylor expanded in y around 0 99.7%
*-commutative99.7%
associate-*l*99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
if 8.49999999999999953e-4 < y Initial program 98.9%
+-commutative98.9%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.8%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified99.1%
Taylor expanded in y around inf 99.1%
distribute-lft-out99.0%
*-commutative99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--99.0%
metadata-eval99.0%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around -inf 99.1%
Taylor expanded in x around 0 62.0%
Final simplification78.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0))) (t_1 (+ 3.0 (sqrt 5.0))))
(if (or (<= y -1.7e-6) (not (<= y 6.2e-6)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) t_1)) t_0))))
(/
(+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0)))))
(+ 3.0 (* 1.5 (+ t_0 (* 4.0 (/ 1.0 t_1)))))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = 3.0 + sqrt(5.0);
double tmp;
if ((y <= -1.7e-6) || !(y <= 6.2e-6)) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / t_1)) + t_0)));
} else {
tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))))) / (3.0 + (1.5 * (t_0 + (4.0 * (1.0 / 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 = cos(x) * (sqrt(5.0d0) + (-1.0d0))
t_1 = 3.0d0 + sqrt(5.0d0)
if ((y <= (-1.7d-6)) .or. (.not. (y <= 6.2d-6))) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / t_1)) + t_0)))
else
tmp = (2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))) / (3.0d0 + (1.5d0 * (t_0 + (4.0d0 * (1.0d0 / t_1)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.cos(x) * (Math.sqrt(5.0) + -1.0);
double t_1 = 3.0 + Math.sqrt(5.0);
double tmp;
if ((y <= -1.7e-6) || !(y <= 6.2e-6)) {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / t_1)) + t_0)));
} else {
tmp = (2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))))) / (3.0 + (1.5 * (t_0 + (4.0 * (1.0 / t_1)))));
}
return tmp;
}
def code(x, y): t_0 = math.cos(x) * (math.sqrt(5.0) + -1.0) t_1 = 3.0 + math.sqrt(5.0) tmp = 0 if (y <= -1.7e-6) or not (y <= 6.2e-6): tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / t_1)) + t_0))) else: tmp = (2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0))))) / (3.0 + (1.5 * (t_0 + (4.0 * (1.0 / t_1))))) return tmp
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if ((y <= -1.7e-6) || !(y <= 6.2e-6)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / t_1)) + t_0)))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(4.0 * Float64(1.0 / t_1)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = cos(x) * (sqrt(5.0) + -1.0); t_1 = 3.0 + sqrt(5.0); tmp = 0.0; if ((y <= -1.7e-6) || ~((y <= 6.2e-6))) tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / t_1)) + t_0))); else tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (sin(x) ^ 2.0))))) / (3.0 + (1.5 * (t_0 + (4.0 * (1.0 / t_1))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -1.7e-6], N[Not[LessEqual[y, 6.2e-6]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(4.0 * N[(1.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := 3 + \sqrt{5}\\
\mathbf{if}\;y \leq -1.7 \cdot 10^{-6} \lor \neg \left(y \leq 6.2 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{t_1} + t_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)}{3 + 1.5 \cdot \left(t_0 + 4 \cdot \frac{1}{t_1}\right)}\\
\end{array}
\end{array}
if y < -1.70000000000000003e-6 or 6.1999999999999999e-6 < y Initial program 98.9%
+-commutative98.9%
associate-*l*99.0%
fma-def98.9%
associate-+l+98.9%
distribute-lft-in99.1%
metadata-eval99.1%
Simplified99.1%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.1%
*-commutative99.1%
*-commutative99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around -inf 99.1%
Taylor expanded in x around 0 61.5%
associate-*r*61.5%
*-commutative61.5%
Simplified61.5%
if -1.70000000000000003e-6 < y < 6.1999999999999999e-6Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
Final simplification77.9%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (or (<= y -0.00074) (not (<= y 0.00082)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0)
(/
(+ 2.0 (* (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0)))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if ((y <= -0.00074) || !(y <= 0.00082)) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
} else {
tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))))) / t_0;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = 3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
if ((y <= (-0.00074d0)) .or. (.not. (y <= 0.00082d0))) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
else
tmp = (2.0d0 + (sqrt(2.0d0) * ((-0.0625d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double tmp;
if ((y <= -0.00074) || !(y <= 0.00082)) {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
} else {
tmp = (2.0 + (Math.sqrt(2.0) * (-0.0625 * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) tmp = 0 if (y <= -0.00074) or not (y <= 0.00082): tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 else: tmp = (2.0 + (math.sqrt(2.0) * (-0.0625 * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if ((y <= -0.00074) || !(y <= 0.00082)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))); tmp = 0.0; if ((y <= -0.00074) || ~((y <= 0.00082))) tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; else tmp = (2.0 + (sqrt(2.0) * (-0.0625 * ((cos(x) + -1.0) * (sin(x) ^ 2.0))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -0.00074], N[Not[LessEqual[y, 0.00082]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;y \leq -0.00074 \lor \neg \left(y \leq 0.00082\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(-0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)}{t_0}\\
\end{array}
\end{array}
if y < -7.3999999999999999e-4 or 8.1999999999999998e-4 < y Initial program 98.9%
+-commutative98.9%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.9%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified99.1%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.0%
*-commutative99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--99.0%
metadata-eval99.0%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in x around -inf 99.1%
Taylor expanded in x around 0 61.2%
associate-*r*61.2%
*-commutative61.2%
Simplified61.2%
if -7.3999999999999999e-4 < y < 8.1999999999999998e-4Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.6%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around -inf 99.7%
Taylor expanded in y around 0 99.7%
*-commutative99.7%
associate-*l*99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Final simplification77.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0))))))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -4.4e-5)
(/ t_1 (+ 3.0 (* 1.5 (+ (* (cos x) t_2) (* 4.0 (/ 1.0 t_0))))))
(if (<= x 0.0035)
(/
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (- 1.0 (cos y)) (pow (sin y) 2.0)))))
(+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* 4.0 (/ (cos y) t_0)))))))
(/ t_1 (+ 3.0 (* 1.5 (fma t_2 (cos x) (/ 4.0 t_0)))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))));
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -4.4e-5) {
tmp = t_1 / (3.0 + (1.5 * ((cos(x) * t_2) + (4.0 * (1.0 / t_0)))));
} else if (x <= 0.0035) {
tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * pow(sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / t_0))))));
} else {
tmp = t_1 / (3.0 + (1.5 * fma(t_2, cos(x), (4.0 / t_0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -4.4e-5) tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_2) + Float64(4.0 * Float64(1.0 / t_0)))))); elseif (x <= 0.0035) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(4.0 * Float64(cos(y) / t_0))))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * fma(t_2, cos(x), Float64(4.0 / t_0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -4.4e-5], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0035], N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -4.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \left(\cos x \cdot t_2 + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{elif}\;x \leq 0.0035:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + 4 \cdot \frac{\cos y}{t_0}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \mathsf{fma}\left(t_2, \cos x, \frac{4}{t_0}\right)}\\
\end{array}
\end{array}
if x < -4.3999999999999999e-5Initial program 99.0%
+-commutative99.0%
associate-*l*99.1%
fma-def99.0%
associate-+l+99.1%
distribute-lft-in99.1%
metadata-eval99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.1%
*-commutative99.1%
*-commutative99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 55.1%
if -4.3999999999999999e-5 < x < 0.00350000000000000007Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 98.7%
if 0.00350000000000000007 < x Initial program 98.8%
+-commutative98.8%
associate-*l*98.8%
fma-def98.7%
associate-+l+98.7%
distribute-lft-in98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
*-commutative98.9%
*-commutative98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 57.8%
sub-neg57.8%
metadata-eval57.8%
*-commutative57.8%
fma-def57.8%
sub-neg57.8%
metadata-eval57.8%
associate-*r/57.8%
metadata-eval57.8%
Simplified57.8%
Final simplification77.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0))))))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -2.2e-5)
(/ t_1 (+ 3.0 (* 1.5 (+ (* (cos x) t_2) (* 4.0 (/ 1.0 t_0))))))
(if (<= x 0.0035)
(/
(fma -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))) 2.0)
(+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ (* 4.0 (/ (cos y) t_0)) -1.0)))))
(/ t_1 (+ 3.0 (* 1.5 (fma t_2 (cos x) (/ 4.0 t_0)))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))));
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -2.2e-5) {
tmp = t_1 / (3.0 + (1.5 * ((cos(x) * t_2) + (4.0 * (1.0 / t_0)))));
} else if (x <= 0.0035) {
tmp = fma(-0.0625, (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / t_0)) + -1.0))));
} else {
tmp = t_1 / (3.0 + (1.5 * fma(t_2, cos(x), (4.0 / t_0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -2.2e-5) tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_2) + Float64(4.0 * Float64(1.0 / t_0)))))); elseif (x <= 0.0035) tmp = Float64(fma(-0.0625, Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(sqrt(5.0) + Float64(Float64(4.0 * Float64(cos(y) / t_0)) + -1.0))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * fma(t_2, cos(x), Float64(4.0 / t_0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -2.2e-5], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0035], N[(N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -2.2 \cdot 10^{-5}:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \left(\cos x \cdot t_2 + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{elif}\;x \leq 0.0035:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(4 \cdot \frac{\cos y}{t_0} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \mathsf{fma}\left(t_2, \cos x, \frac{4}{t_0}\right)}\\
\end{array}
\end{array}
if x < -2.1999999999999999e-5Initial program 99.0%
+-commutative99.0%
associate-*l*99.1%
fma-def99.0%
associate-+l+99.1%
distribute-lft-in99.1%
metadata-eval99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.1%
*-commutative99.1%
*-commutative99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 55.1%
if -2.1999999999999999e-5 < x < 0.00350000000000000007Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 98.7%
+-commutative98.7%
fma-def98.7%
associate-*r*98.7%
*-commutative98.7%
associate--l+98.7%
Simplified98.7%
if 0.00350000000000000007 < x Initial program 98.8%
+-commutative98.8%
associate-*l*98.8%
fma-def98.7%
associate-+l+98.7%
distribute-lft-in98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
*-commutative98.9%
*-commutative98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 57.8%
sub-neg57.8%
metadata-eval57.8%
*-commutative57.8%
fma-def57.8%
sub-neg57.8%
metadata-eval57.8%
associate-*r/57.8%
metadata-eval57.8%
Simplified57.8%
Final simplification77.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))))
(if (or (<= x -4.4e-5) (not (<= x 0.0035)))
(/
(+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0)))))
(+ 3.0 (* 1.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* 4.0 (/ 1.0 t_0))))))
(/
(+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (- 1.0 (cos y)) (pow (sin y) 2.0)))))
(+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* 4.0 (/ (cos y) t_0))))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double tmp;
if ((x <= -4.4e-5) || !(x <= 0.0035)) {
tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0)))));
} else {
tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * pow(sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / t_0))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = 3.0d0 + sqrt(5.0d0)
if ((x <= (-4.4d-5)) .or. (.not. (x <= 0.0035d0))) then
tmp = (2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))) / (3.0d0 + (1.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (4.0d0 * (1.0d0 / t_0)))))
else
tmp = (2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0))))) / (3.0d0 + (1.5d0 * ((-1.0d0) + (sqrt(5.0d0) + (4.0d0 * (cos(y) / t_0))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + Math.sqrt(5.0);
double tmp;
if ((x <= -4.4e-5) || !(x <= 0.0035)) {
tmp = (2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))))) / (3.0 + (1.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0)))));
} else {
tmp = (2.0 + (-0.0625 * (Math.sqrt(2.0) * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (Math.sqrt(5.0) + (4.0 * (Math.cos(y) / t_0))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + math.sqrt(5.0) tmp = 0 if (x <= -4.4e-5) or not (x <= 0.0035): tmp = (2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0))))) / (3.0 + (1.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0))))) else: tmp = (2.0 + (-0.0625 * (math.sqrt(2.0) * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (math.sqrt(5.0) + (4.0 * (math.cos(y) / t_0)))))) return tmp
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if ((x <= -4.4e-5) || !(x <= 0.0035)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(4.0 * Float64(1.0 / t_0)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(4.0 * Float64(cos(y) / t_0))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + sqrt(5.0); tmp = 0.0; if ((x <= -4.4e-5) || ~((x <= 0.0035))) tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (sin(x) ^ 2.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0))))); else tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * (sin(y) ^ 2.0))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / t_0)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -4.4e-5], N[Not[LessEqual[x, 0.0035]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -4.4 \cdot 10^{-5} \lor \neg \left(x \leq 0.0035\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + 4 \cdot \frac{\cos y}{t_0}\right)\right)}\\
\end{array}
\end{array}
if x < -4.3999999999999999e-5 or 0.00350000000000000007 < x Initial program 98.9%
+-commutative98.9%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.9%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified99.1%
Taylor expanded in y around inf 99.1%
distribute-lft-out99.0%
*-commutative99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.9%
metadata-eval98.9%
add-sqr-sqrt99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 56.4%
if -4.3999999999999999e-5 < x < 0.00350000000000000007Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 98.7%
Final simplification77.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0))))))
(t_2 (* (cos x) (+ (sqrt 5.0) -1.0))))
(if (<= x -9e-6)
(* 0.3333333333333333 (/ t_1 (+ 1.0 (* 0.5 (+ t_2 (- 3.0 (sqrt 5.0)))))))
(if (<= x 0.0035)
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (- 1.0 (cos y)) (pow (sin y) 2.0)))))
(+ 0.5 (+ t_0 (* (cos y) (- 1.5 t_0))))))
(*
0.3333333333333333
(/ t_1 (+ 1.0 (* 0.5 (- (+ 3.0 t_2) (sqrt 5.0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = 2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))));
double t_2 = cos(x) * (sqrt(5.0) + -1.0);
double tmp;
if (x <= -9e-6) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - sqrt(5.0))))));
} else if (x <= 0.0035) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * pow(sin(y), 2.0))))) / (0.5 + (t_0 + (cos(y) * (1.5 - t_0)))));
} else {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * ((3.0 + t_2) - sqrt(5.0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = 2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))
t_2 = cos(x) * (sqrt(5.0d0) + (-1.0d0))
if (x <= (-9d-6)) then
tmp = 0.3333333333333333d0 * (t_1 / (1.0d0 + (0.5d0 * (t_2 + (3.0d0 - sqrt(5.0d0))))))
else if (x <= 0.0035d0) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0))))) / (0.5d0 + (t_0 + (cos(y) * (1.5d0 - t_0)))))
else
tmp = 0.3333333333333333d0 * (t_1 / (1.0d0 + (0.5d0 * ((3.0d0 + t_2) - sqrt(5.0d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = 2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))));
double t_2 = Math.cos(x) * (Math.sqrt(5.0) + -1.0);
double tmp;
if (x <= -9e-6) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - Math.sqrt(5.0))))));
} else if (x <= 0.0035) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.sqrt(2.0) * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0))))) / (0.5 + (t_0 + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * ((3.0 + t_2) - Math.sqrt(5.0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = 2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0)))) t_2 = math.cos(x) * (math.sqrt(5.0) + -1.0) tmp = 0 if x <= -9e-6: tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - math.sqrt(5.0)))))) elif x <= 0.0035: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.sqrt(2.0) * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0))))) / (0.5 + (t_0 + (math.cos(y) * (1.5 - t_0))))) else: tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * ((3.0 + t_2) - math.sqrt(5.0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) t_2 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) tmp = 0.0 if (x <= -9e-6) tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(0.5 * Float64(t_2 + Float64(3.0 - sqrt(5.0))))))); elseif (x <= 0.0035) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))))) / Float64(0.5 + Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(0.5 * Float64(Float64(3.0 + t_2) - sqrt(5.0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = 2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (sin(x) ^ 2.0)))); t_2 = cos(x) * (sqrt(5.0) + -1.0); tmp = 0.0; if (x <= -9e-6) tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - sqrt(5.0)))))); elseif (x <= 0.0035) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * (sin(y) ^ 2.0))))) / (0.5 + (t_0 + (cos(y) * (1.5 - t_0))))); else tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * ((3.0 + t_2) - sqrt(5.0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -9e-6], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(0.5 * N[(t$95$2 + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0035], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.5 + N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(0.5 * N[(N[(3.0 + t$95$2), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := 2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)\\
t_2 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
\mathbf{if}\;x \leq -9 \cdot 10^{-6}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + 0.5 \cdot \left(t_2 + \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{elif}\;x \leq 0.0035:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)\right)}{0.5 + \left(t_0 + \cos y \cdot \left(1.5 - t_0\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + 0.5 \cdot \left(\left(3 + t_2\right) - \sqrt{5}\right)}\\
\end{array}
\end{array}
if x < -9.00000000000000023e-6Initial program 99.0%
Taylor expanded in y around 0 55.0%
*-commutative55.0%
sub-neg55.0%
metadata-eval55.0%
distribute-lft-out55.0%
*-commutative55.0%
sub-neg55.0%
metadata-eval55.0%
Simplified55.0%
if -9.00000000000000023e-6 < x < 0.00350000000000000007Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
+-commutative99.5%
*-commutative99.5%
fma-def99.5%
Simplified99.5%
Taylor expanded in x around 0 98.5%
if 0.00350000000000000007 < x Initial program 98.8%
Taylor expanded in y around 0 57.7%
*-commutative57.7%
sub-neg57.7%
metadata-eval57.7%
distribute-lft-out57.7%
*-commutative57.7%
sub-neg57.7%
metadata-eval57.7%
Simplified57.7%
associate-+r-57.7%
Applied egg-rr57.7%
Final simplification76.9%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0))))))
(t_1 (* (cos x) (+ (sqrt 5.0) -1.0))))
(if (<= x -5e-5)
(* 0.3333333333333333 (/ t_0 (+ 1.0 (* 0.5 (+ t_1 (- 3.0 (sqrt 5.0)))))))
(if (<= x 0.0035)
(/
(+
2.0
(* -0.0625 (* (sqrt 2.0) (* (- 1.0 (cos y)) (pow (sin y) 2.0)))))
(+
3.0
(*
1.5
(+ -1.0 (+ (sqrt 5.0) (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))))))
(*
0.3333333333333333
(/ t_0 (+ 1.0 (* 0.5 (- (+ 3.0 t_1) (sqrt 5.0))))))))))
double code(double x, double y) {
double t_0 = 2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))));
double t_1 = cos(x) * (sqrt(5.0) + -1.0);
double tmp;
if (x <= -5e-5) {
tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * (t_1 + (3.0 - sqrt(5.0))))));
} else if (x <= 0.0035) {
tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * pow(sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / (3.0 + sqrt(5.0))))))));
} else {
tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * ((3.0 + t_1) - sqrt(5.0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))
t_1 = cos(x) * (sqrt(5.0d0) + (-1.0d0))
if (x <= (-5d-5)) then
tmp = 0.3333333333333333d0 * (t_0 / (1.0d0 + (0.5d0 * (t_1 + (3.0d0 - sqrt(5.0d0))))))
else if (x <= 0.0035d0) then
tmp = (2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((1.0d0 - cos(y)) * (sin(y) ** 2.0d0))))) / (3.0d0 + (1.5d0 * ((-1.0d0) + (sqrt(5.0d0) + (4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0))))))))
else
tmp = 0.3333333333333333d0 * (t_0 / (1.0d0 + (0.5d0 * ((3.0d0 + t_1) - sqrt(5.0d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))));
double t_1 = Math.cos(x) * (Math.sqrt(5.0) + -1.0);
double tmp;
if (x <= -5e-5) {
tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * (t_1 + (3.0 - Math.sqrt(5.0))))));
} else if (x <= 0.0035) {
tmp = (2.0 + (-0.0625 * (Math.sqrt(2.0) * ((1.0 - Math.cos(y)) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (Math.sqrt(5.0) + (4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0))))))));
} else {
tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * ((3.0 + t_1) - Math.sqrt(5.0)))));
}
return tmp;
}
def code(x, y): t_0 = 2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0)))) t_1 = math.cos(x) * (math.sqrt(5.0) + -1.0) tmp = 0 if x <= -5e-5: tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * (t_1 + (3.0 - math.sqrt(5.0)))))) elif x <= 0.0035: tmp = (2.0 + (-0.0625 * (math.sqrt(2.0) * ((1.0 - math.cos(y)) * math.pow(math.sin(y), 2.0))))) / (3.0 + (1.5 * (-1.0 + (math.sqrt(5.0) + (4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))))))) else: tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * ((3.0 + t_1) - math.sqrt(5.0))))) return tmp
function code(x, y) t_0 = Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) t_1 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) tmp = 0.0 if (x <= -5e-5) tmp = Float64(0.3333333333333333 * Float64(t_0 / Float64(1.0 + Float64(0.5 * Float64(t_1 + Float64(3.0 - sqrt(5.0))))))); elseif (x <= 0.0035) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))))); else tmp = Float64(0.3333333333333333 * Float64(t_0 / Float64(1.0 + Float64(0.5 * Float64(Float64(3.0 + t_1) - sqrt(5.0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (sin(x) ^ 2.0)))); t_1 = cos(x) * (sqrt(5.0) + -1.0); tmp = 0.0; if (x <= -5e-5) tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * (t_1 + (3.0 - sqrt(5.0)))))); elseif (x <= 0.0035) tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((1.0 - cos(y)) * (sin(y) ^ 2.0))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / (3.0 + sqrt(5.0)))))))); else tmp = 0.3333333333333333 * (t_0 / (1.0 + (0.5 * ((3.0 + t_1) - sqrt(5.0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -5e-5], N[(0.3333333333333333 * N[(t$95$0 / N[(1.0 + N[(0.5 * N[(t$95$1 + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0035], N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(t$95$0 / N[(1.0 + N[(0.5 * N[(N[(3.0 + t$95$1), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)\\
t_1 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
\mathbf{if}\;x \leq -5 \cdot 10^{-5}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_0}{1 + 0.5 \cdot \left(t_1 + \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{elif}\;x \leq 0.0035:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right)\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + 4 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_0}{1 + 0.5 \cdot \left(\left(3 + t_1\right) - \sqrt{5}\right)}\\
\end{array}
\end{array}
if x < -5.00000000000000024e-5Initial program 99.0%
Taylor expanded in y around 0 55.0%
*-commutative55.0%
sub-neg55.0%
metadata-eval55.0%
distribute-lft-out55.0%
*-commutative55.0%
sub-neg55.0%
metadata-eval55.0%
Simplified55.0%
if -5.00000000000000024e-5 < x < 0.00350000000000000007Initial program 99.5%
+-commutative99.5%
associate-*l*99.5%
fma-def99.5%
associate-+l+99.5%
distribute-lft-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
*-commutative99.6%
*-commutative99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
add-sqr-sqrt99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 98.7%
if 0.00350000000000000007 < x Initial program 98.8%
Taylor expanded in y around 0 57.7%
*-commutative57.7%
sub-neg57.7%
metadata-eval57.7%
distribute-lft-out57.7%
*-commutative57.7%
sub-neg57.7%
metadata-eval57.7%
Simplified57.7%
associate-+r-57.7%
Applied egg-rr57.7%
Final simplification77.0%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (pow (sin x) 2.0) (+ (cos x) -1.0))))) (+ 1.0 (* 0.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * (pow(sin(x), 2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((sin(x) ** 2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (3.0d0 - sqrt(5.0d0))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.sqrt(2.0) * (Math.pow(Math.sin(x), 2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (3.0 - Math.sqrt(5.0))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.sqrt(2.0) * (math.pow(math.sin(x), 2.0) * (math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (3.0 - math.sqrt(5.0))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(3.0 - sqrt(5.0))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((sin(x) ^ 2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0)))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
distribute-lft-out55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
Simplified55.6%
Final simplification55.6%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0))))) (+ 1.0 (* 0.5 (- (+ 3.0 (* (cos x) (+ (sqrt 5.0) -1.0))) (sqrt 5.0)))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))))) / (1.0 + (0.5 * ((3.0 + (cos(x) * (sqrt(5.0) + -1.0))) - sqrt(5.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))) / (1.0d0 + (0.5d0 * ((3.0d0 + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))) - sqrt(5.0d0)))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))))) / (1.0 + (0.5 * ((3.0 + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))) - Math.sqrt(5.0)))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0))))) / (1.0 + (0.5 * ((3.0 + (math.cos(x) * (math.sqrt(5.0) + -1.0))) - math.sqrt(5.0)))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(3.0 + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) - sqrt(5.0)))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (sin(x) ^ 2.0))))) / (1.0 + (0.5 * ((3.0 + (cos(x) * (sqrt(5.0) + -1.0))) - sqrt(5.0))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(3.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)}{1 + 0.5 \cdot \left(\left(3 + \cos x \cdot \left(\sqrt{5} + -1\right)\right) - \sqrt{5}\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
distribute-lft-out55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
Simplified55.6%
associate-+r-55.6%
Applied egg-rr55.6%
Final simplification55.6%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (pow (sin x) 2.0))))) 2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * pow(sin(x), 2.0))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (sin(x) ** 2.0d0))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * Math.pow(Math.sin(x), 2.0))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * math.pow(math.sin(x), 2.0))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (sin(x) ^ 2.0))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right)\right)}{2}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
distribute-lft-out55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
Simplified55.6%
Taylor expanded in x around 0 37.2%
Final simplification37.2%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
distribute-lft-out55.6%
*-commutative55.6%
sub-neg55.6%
metadata-eval55.6%
Simplified55.6%
Taylor expanded in x around 0 37.2%
Taylor expanded in x around 0 29.0%
*-commutative29.0%
associate-*r*29.0%
Simplified29.0%
Taylor expanded in x around 0 37.2%
Final simplification37.2%
herbie shell --seed 2023230
(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))))))