
(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 24 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) (+ (sin x) (* -0.0625 (sin y))))
(* (- (cos x) (cos y)) (+ (sin y) (* (sin x) -0.0625)))))
(+
3.0
(* 6.0 (+ (/ (cos x) (+ 1.0 (sqrt 5.0))) (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return (2.0 + ((sqrt(2.0) * (sin(x) + (-0.0625 * sin(y)))) * ((cos(x) - cos(y)) * (sin(y) + (sin(x) * -0.0625))))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((sqrt(2.0d0) * (sin(x) + ((-0.0625d0) * sin(y)))) * ((cos(x) - cos(y)) * (sin(y) + (sin(x) * (-0.0625d0)))))) / (3.0d0 + (6.0d0 * ((cos(x) / (1.0d0 + sqrt(5.0d0))) + (cos(y) / (3.0d0 + sqrt(5.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) + (-0.0625 * Math.sin(y)))) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(y) + (Math.sin(x) * -0.0625))))) / (3.0 + (6.0 * ((Math.cos(x) / (1.0 + Math.sqrt(5.0))) + (Math.cos(y) / (3.0 + Math.sqrt(5.0))))));
}
def code(x, y): return (2.0 + ((math.sqrt(2.0) * (math.sin(x) + (-0.0625 * math.sin(y)))) * ((math.cos(x) - math.cos(y)) * (math.sin(y) + (math.sin(x) * -0.0625))))) / (3.0 + (6.0 * ((math.cos(x) / (1.0 + math.sqrt(5.0))) + (math.cos(y) / (3.0 + math.sqrt(5.0))))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) + Float64(-0.0625 * sin(y)))) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) + Float64(sin(x) * -0.0625))))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / Float64(1.0 + sqrt(5.0))) + Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
function tmp = code(x, y) tmp = (2.0 + ((sqrt(2.0) * (sin(x) + (-0.0625 * sin(y)))) * ((cos(x) - cos(y)) * (sin(y) + (sin(x) * -0.0625))))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0)))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x + -0.0625 \cdot \sin y\right)\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y + \sin x \cdot -0.0625\right)\right)}{3 + 6 \cdot \left(\frac{\cos x}{1 + \sqrt{5}} + \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.2%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.4%
Taylor expanded in x around inf
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos y) (- 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0))))))
(t_1
(/
(fma
(* (sqrt 2.0) (sin y))
(* (- (cos x) (cos y)) (+ (sin x) (/ (sin y) -16.0)))
2.0)
t_0)))
(if (<= y -0.185)
t_1
(if (<= y 0.0062)
(/
(+
2.0
(*
(+ (sin x) (* y (+ -0.0625 (* (* y y) 0.010416666666666666))))
(*
(sqrt 2.0)
(*
(+ (sin y) (/ (sin x) -16.0))
(+
(cos x)
(+
-1.0
(* (* y y) (+ 0.5 (* (* y y) -0.041666666666666664)))))))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))));
double t_1 = fma((sqrt(2.0) * sin(y)), ((cos(x) - cos(y)) * (sin(x) + (sin(y) / -16.0))), 2.0) / t_0;
double tmp;
if (y <= -0.185) {
tmp = t_1;
} else if (y <= 0.0062) {
tmp = (2.0 + ((sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (sqrt(2.0) * ((sin(y) + (sin(x) / -16.0)) * (cos(x) + (-1.0 + ((y * y) * (0.5 + ((y * y) * -0.041666666666666664))))))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) t_1 = Float64(fma(Float64(sqrt(2.0) * sin(y)), Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) + Float64(sin(y) / -16.0))), 2.0) / t_0) tmp = 0.0 if (y <= -0.185) tmp = t_1; elseif (y <= 0.0062) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(y * Float64(-0.0625 + Float64(Float64(y * y) * 0.010416666666666666)))) * Float64(sqrt(2.0) * Float64(Float64(sin(y) + Float64(sin(x) / -16.0)) * Float64(cos(x) + Float64(-1.0 + Float64(Float64(y * y) * Float64(0.5 + Float64(Float64(y * y) * -0.041666666666666664))))))))) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $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[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.185], t$95$1, If[LessEqual[y, 0.0062], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(y * N[(-0.0625 + N[(N[(y * y), $MachinePrecision] * 0.010416666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + N[(-1.0 + N[(N[(y * y), $MachinePrecision] * N[(0.5 + N[(N[(y * y), $MachinePrecision] * -0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
t_1 := \frac{\mathsf{fma}\left(\sqrt{2} \cdot \sin y, \left(\cos x - \cos y\right) \cdot \left(\sin x + \frac{\sin y}{-16}\right), 2\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.185:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.0062:\\
\;\;\;\;\frac{2 + \left(\sin x + y \cdot \left(-0.0625 + \left(y \cdot y\right) \cdot 0.010416666666666666\right)\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin y + \frac{\sin x}{-16}\right) \cdot \left(\cos x + \left(-1 + \left(y \cdot y\right) \cdot \left(0.5 + \left(y \cdot y\right) \cdot -0.041666666666666664\right)\right)\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.185 or 0.00619999999999999978 < y Initial program 98.9%
Simplified99.0%
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
fma-defineN/A
fma-lowering-fma.f64N/A
Applied egg-rr99.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sqrt-lowering-sqrt.f6466.4%
Simplified66.4%
if -0.185 < y < 0.00619999999999999978Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Final simplification82.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1 (+ 1.0 (sqrt 5.0)))
(t_2
(/
(+
2.0
(*
(* (- (cos x) (cos y)) (+ (sin y) (* (sin x) -0.0625)))
(* (sqrt 2.0) (sin x))))
(+ 3.0 (* 6.0 (+ (/ (cos x) t_1) (/ (cos y) t_0)))))))
(if (<= x -0.0128)
t_2
(if (<= x 0.062)
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- 1.0 (cos y))))
(+ 3.0 (* 3.0 (+ (/ (cos x) (* t_1 0.5)) (/ (cos y) (* t_0 0.5))))))
t_2))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 1.0 + sqrt(5.0);
double t_2 = (2.0 + (((cos(x) - cos(y)) * (sin(y) + (sin(x) * -0.0625))) * (sqrt(2.0) * sin(x)))) / (3.0 + (6.0 * ((cos(x) / t_1) + (cos(y) / t_0))));
double tmp;
if (x <= -0.0128) {
tmp = t_2;
} else if (x <= 0.062) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (1.0 - cos(y)))) / (3.0 + (3.0 * ((cos(x) / (t_1 * 0.5)) + (cos(y) / (t_0 * 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = 3.0d0 + sqrt(5.0d0)
t_1 = 1.0d0 + sqrt(5.0d0)
t_2 = (2.0d0 + (((cos(x) - cos(y)) * (sin(y) + (sin(x) * (-0.0625d0)))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 + (6.0d0 * ((cos(x) / t_1) + (cos(y) / t_0))))
if (x <= (-0.0128d0)) then
tmp = t_2
else if (x <= 0.062d0) then
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (1.0d0 - cos(y)))) / (3.0d0 + (3.0d0 * ((cos(x) / (t_1 * 0.5d0)) + (cos(y) / (t_0 * 0.5d0)))))
else
tmp = t_2
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + Math.sqrt(5.0);
double t_1 = 1.0 + Math.sqrt(5.0);
double t_2 = (2.0 + (((Math.cos(x) - Math.cos(y)) * (Math.sin(y) + (Math.sin(x) * -0.0625))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 + (6.0 * ((Math.cos(x) / t_1) + (Math.cos(y) / t_0))));
double tmp;
if (x <= -0.0128) {
tmp = t_2;
} else if (x <= 0.062) {
tmp = (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (1.0 - Math.cos(y)))) / (3.0 + (3.0 * ((Math.cos(x) / (t_1 * 0.5)) + (Math.cos(y) / (t_0 * 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + math.sqrt(5.0) t_1 = 1.0 + math.sqrt(5.0) t_2 = (2.0 + (((math.cos(x) - math.cos(y)) * (math.sin(y) + (math.sin(x) * -0.0625))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 + (6.0 * ((math.cos(x) / t_1) + (math.cos(y) / t_0)))) tmp = 0 if x <= -0.0128: tmp = t_2 elif x <= 0.062: tmp = (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (1.0 - math.cos(y)))) / (3.0 + (3.0 * ((math.cos(x) / (t_1 * 0.5)) + (math.cos(y) / (t_0 * 0.5))))) else: tmp = t_2 return tmp
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(1.0 + sqrt(5.0)) t_2 = Float64(Float64(2.0 + Float64(Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) + Float64(sin(x) * -0.0625))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / t_1) + Float64(cos(y) / t_0))))) tmp = 0.0 if (x <= -0.0128) tmp = t_2; elseif (x <= 0.062) tmp = 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(1.0 - cos(y)))) / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) / Float64(t_1 * 0.5)) + Float64(cos(y) / Float64(t_0 * 0.5)))))); else tmp = t_2; end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + sqrt(5.0); t_1 = 1.0 + sqrt(5.0); t_2 = (2.0 + (((cos(x) - cos(y)) * (sin(y) + (sin(x) * -0.0625))) * (sqrt(2.0) * sin(x)))) / (3.0 + (6.0 * ((cos(x) / t_1) + (cos(y) / t_0)))); tmp = 0.0; if (x <= -0.0128) tmp = t_2; elseif (x <= 0.062) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (1.0 - cos(y)))) / (3.0 + (3.0 * ((cos(x) / (t_1 * 0.5)) + (cos(y) / (t_0 * 0.5))))); else tmp = t_2; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / t$95$1), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0128], t$95$2, If[LessEqual[x, 0.062], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 1 + \sqrt{5}\\
t_2 := \frac{2 + \left(\left(\cos x - \cos y\right) \cdot \left(\sin y + \sin x \cdot -0.0625\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 + 6 \cdot \left(\frac{\cos x}{t\_1} + \frac{\cos y}{t\_0}\right)}\\
\mathbf{if}\;x \leq -0.0128:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.062:\\
\;\;\;\;\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(1 - \cos y\right)}{3 + 3 \cdot \left(\frac{\cos x}{t\_1 \cdot 0.5} + \frac{\cos y}{t\_0 \cdot 0.5}\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.0128000000000000006 or 0.062 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around inf
Simplified99.2%
Taylor expanded in y around 0
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sin-lowering-sin.f6461.1%
Simplified61.1%
if -0.0128000000000000006 < x < 0.062Initial program 99.5%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around 0
--lowering--.f64N/A
cos-lowering-cos.f6499.6%
Simplified99.6%
Final simplification82.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sin y) (* (sin x) -0.0625)))
(t_1
(+
3.0
(*
6.0
(+ (/ (cos x) (+ 1.0 (sqrt 5.0))) (/ (cos y) (+ 3.0 (sqrt 5.0)))))))
(t_2
(/
(+ 2.0 (* (* (- (cos x) (cos y)) t_0) (* (sqrt 2.0) (sin x))))
t_1)))
(if (<= x -0.0063)
t_2
(if (<= x 0.0073)
(/
(+
2.0
(*
(* (sqrt 2.0) (+ (sin x) (* -0.0625 (sin y))))
(* t_0 (- 1.0 (cos y)))))
t_1)
t_2))))
double code(double x, double y) {
double t_0 = sin(y) + (sin(x) * -0.0625);
double t_1 = 3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0)))));
double t_2 = (2.0 + (((cos(x) - cos(y)) * t_0) * (sqrt(2.0) * sin(x)))) / t_1;
double tmp;
if (x <= -0.0063) {
tmp = t_2;
} else if (x <= 0.0073) {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) + (-0.0625 * sin(y)))) * (t_0 * (1.0 - cos(y))))) / t_1;
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sin(y) + (sin(x) * (-0.0625d0))
t_1 = 3.0d0 + (6.0d0 * ((cos(x) / (1.0d0 + sqrt(5.0d0))) + (cos(y) / (3.0d0 + sqrt(5.0d0)))))
t_2 = (2.0d0 + (((cos(x) - cos(y)) * t_0) * (sqrt(2.0d0) * sin(x)))) / t_1
if (x <= (-0.0063d0)) then
tmp = t_2
else if (x <= 0.0073d0) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) + ((-0.0625d0) * sin(y)))) * (t_0 * (1.0d0 - cos(y))))) / t_1
else
tmp = t_2
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) + (Math.sin(x) * -0.0625);
double t_1 = 3.0 + (6.0 * ((Math.cos(x) / (1.0 + Math.sqrt(5.0))) + (Math.cos(y) / (3.0 + Math.sqrt(5.0)))));
double t_2 = (2.0 + (((Math.cos(x) - Math.cos(y)) * t_0) * (Math.sqrt(2.0) * Math.sin(x)))) / t_1;
double tmp;
if (x <= -0.0063) {
tmp = t_2;
} else if (x <= 0.0073) {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) + (-0.0625 * Math.sin(y)))) * (t_0 * (1.0 - Math.cos(y))))) / t_1;
} else {
tmp = t_2;
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) + (math.sin(x) * -0.0625) t_1 = 3.0 + (6.0 * ((math.cos(x) / (1.0 + math.sqrt(5.0))) + (math.cos(y) / (3.0 + math.sqrt(5.0))))) t_2 = (2.0 + (((math.cos(x) - math.cos(y)) * t_0) * (math.sqrt(2.0) * math.sin(x)))) / t_1 tmp = 0 if x <= -0.0063: tmp = t_2 elif x <= 0.0073: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) + (-0.0625 * math.sin(y)))) * (t_0 * (1.0 - math.cos(y))))) / t_1 else: tmp = t_2 return tmp
function code(x, y) t_0 = Float64(sin(y) + Float64(sin(x) * -0.0625)) t_1 = Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / Float64(1.0 + sqrt(5.0))) + Float64(cos(y) / Float64(3.0 + sqrt(5.0)))))) t_2 = Float64(Float64(2.0 + Float64(Float64(Float64(cos(x) - cos(y)) * t_0) * Float64(sqrt(2.0) * sin(x)))) / t_1) tmp = 0.0 if (x <= -0.0063) tmp = t_2; elseif (x <= 0.0073) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) + Float64(-0.0625 * sin(y)))) * Float64(t_0 * Float64(1.0 - cos(y))))) / t_1); else tmp = t_2; end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) + (sin(x) * -0.0625); t_1 = 3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0))))); t_2 = (2.0 + (((cos(x) - cos(y)) * t_0) * (sqrt(2.0) * sin(x)))) / t_1; tmp = 0.0; if (x <= -0.0063) tmp = t_2; elseif (x <= 0.0073) tmp = (2.0 + ((sqrt(2.0) * (sin(x) + (-0.0625 * sin(y)))) * (t_0 * (1.0 - cos(y))))) / t_1; else tmp = t_2; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]}, If[LessEqual[x, -0.0063], t$95$2, If[LessEqual[x, 0.0073], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y + \sin x \cdot -0.0625\\
t_1 := 3 + 6 \cdot \left(\frac{\cos x}{1 + \sqrt{5}} + \frac{\cos y}{3 + \sqrt{5}}\right)\\
t_2 := \frac{2 + \left(\left(\cos x - \cos y\right) \cdot t\_0\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{t\_1}\\
\mathbf{if}\;x \leq -0.0063:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.0073:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x + -0.0625 \cdot \sin y\right)\right) \cdot \left(t\_0 \cdot \left(1 - \cos y\right)\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.0063 or 0.00730000000000000007 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around inf
Simplified99.2%
Taylor expanded in y around 0
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sin-lowering-sin.f6461.1%
Simplified61.1%
if -0.0063 < x < 0.00730000000000000007Initial program 99.5%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around inf
Simplified99.6%
Taylor expanded in x around 0
--lowering--.f64N/A
cos-lowering-cos.f6499.6%
Simplified99.6%
Final simplification82.2%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(+
2.0
(*
(* (- (cos x) (cos y)) (+ (sin y) (* (sin x) -0.0625)))
(* (sqrt 2.0) (sin x))))
(+
3.0
(*
6.0
(+
(/ (cos x) (+ 1.0 (sqrt 5.0)))
(/ (cos y) (+ 3.0 (sqrt 5.0)))))))))
(if (<= x -0.00175)
t_0
(if (<= x 0.0076)
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (* (sqrt 2.0) (- 1.0 (cos y))) (+ (sin y) (* x -0.0625)))))
(+
3.0
(*
1.5
(+ (* (cos y) (- 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0))))))
t_0))))
double code(double x, double y) {
double t_0 = (2.0 + (((cos(x) - cos(y)) * (sin(y) + (sin(x) * -0.0625))) * (sqrt(2.0) * sin(x)))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0))))));
double tmp;
if (x <= -0.00175) {
tmp = t_0;
} else if (x <= 0.0076) {
tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * ((sqrt(2.0) * (1.0 - cos(y))) * (sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))));
} else {
tmp = 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 = (2.0d0 + (((cos(x) - cos(y)) * (sin(y) + (sin(x) * (-0.0625d0)))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 + (6.0d0 * ((cos(x) / (1.0d0 + sqrt(5.0d0))) + (cos(y) / (3.0d0 + sqrt(5.0d0))))))
if (x <= (-0.00175d0)) then
tmp = t_0
else if (x <= 0.0076d0) then
tmp = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (sin(y) + (x * (-0.0625d0)))))) / (3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = (2.0 + (((Math.cos(x) - Math.cos(y)) * (Math.sin(y) + (Math.sin(x) * -0.0625))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 + (6.0 * ((Math.cos(x) / (1.0 + Math.sqrt(5.0))) + (Math.cos(y) / (3.0 + Math.sqrt(5.0))))));
double tmp;
if (x <= -0.00175) {
tmp = t_0;
} else if (x <= 0.0076) {
tmp = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * (Math.sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
} else {
tmp = t_0;
}
return tmp;
}
def code(x, y): t_0 = (2.0 + (((math.cos(x) - math.cos(y)) * (math.sin(y) + (math.sin(x) * -0.0625))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 + (6.0 * ((math.cos(x) / (1.0 + math.sqrt(5.0))) + (math.cos(y) / (3.0 + math.sqrt(5.0)))))) tmp = 0 if x <= -0.00175: tmp = t_0 elif x <= 0.0076: tmp = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * ((math.sqrt(2.0) * (1.0 - math.cos(y))) * (math.sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) else: tmp = t_0 return tmp
function code(x, y) t_0 = Float64(Float64(2.0 + Float64(Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) + Float64(sin(x) * -0.0625))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / Float64(1.0 + sqrt(5.0))) + Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) tmp = 0.0 if (x <= -0.00175) tmp = t_0; elseif (x <= 0.0076) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(sin(y) + Float64(x * -0.0625))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); else tmp = t_0; end return tmp end
function tmp_2 = code(x, y) t_0 = (2.0 + (((cos(x) - cos(y)) * (sin(y) + (sin(x) * -0.0625))) * (sqrt(2.0) * sin(x)))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0)))))); tmp = 0.0; if (x <= -0.00175) tmp = t_0; elseif (x <= 0.0076) tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * ((sqrt(2.0) * (1.0 - cos(y))) * (sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))))); else tmp = t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[(2.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00175], t$95$0, If[LessEqual[x, 0.0076], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{2 + \left(\left(\cos x - \cos y\right) \cdot \left(\sin y + \sin x \cdot -0.0625\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 + 6 \cdot \left(\frac{\cos x}{1 + \sqrt{5}} + \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\mathbf{if}\;x \leq -0.00175:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 0.0076:\\
\;\;\;\;\frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(\sin y + x \cdot -0.0625\right)\right)}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -0.00175000000000000004 or 0.00759999999999999998 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around inf
Simplified99.2%
Taylor expanded in y around 0
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sin-lowering-sin.f6461.1%
Simplified61.1%
if -0.00175000000000000004 < x < 0.00759999999999999998Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6499.6%
Simplified99.6%
Final simplification82.2%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos y) (- 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0))))))
(t_1
(/
(+
2.0
(*
(sin x)
(*
(sqrt 2.0)
(* (- (cos x) (cos y)) (+ (sin y) (/ (sin x) -16.0))))))
t_0)))
(if (<= x -0.009)
t_1
(if (<= x 0.0036)
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (* (sqrt 2.0) (- 1.0 (cos y))) (+ (sin y) (* x -0.0625)))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))));
double t_1 = (2.0 + (sin(x) * (sqrt(2.0) * ((cos(x) - cos(y)) * (sin(y) + (sin(x) / -16.0)))))) / t_0;
double tmp;
if (x <= -0.009) {
tmp = t_1;
} else if (x <= 0.0036) {
tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * ((sqrt(2.0) * (1.0 - cos(y))) * (sin(y) + (x * -0.0625))))) / t_0;
} else {
tmp = 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 = 3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
t_1 = (2.0d0 + (sin(x) * (sqrt(2.0d0) * ((cos(x) - cos(y)) * (sin(y) + (sin(x) / (-16.0d0))))))) / t_0
if (x <= (-0.009d0)) then
tmp = t_1
else if (x <= 0.0036d0) then
tmp = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (sin(y) + (x * (-0.0625d0)))))) / t_0
else
tmp = t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double t_1 = (2.0 + (Math.sin(x) * (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(y) + (Math.sin(x) / -16.0)))))) / t_0;
double tmp;
if (x <= -0.009) {
tmp = t_1;
} else if (x <= 0.0036) {
tmp = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * (Math.sin(y) + (x * -0.0625))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) t_1 = (2.0 + (math.sin(x) * (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * (math.sin(y) + (math.sin(x) / -16.0)))))) / t_0 tmp = 0 if x <= -0.009: tmp = t_1 elif x <= 0.0036: tmp = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * ((math.sqrt(2.0) * (1.0 - math.cos(y))) * (math.sin(y) + (x * -0.0625))))) / t_0 else: tmp = t_1 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) t_1 = Float64(Float64(2.0 + Float64(sin(x) * Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) + Float64(sin(x) / -16.0)))))) / t_0) tmp = 0.0 if (x <= -0.009) tmp = t_1; elseif (x <= 0.0036) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(sin(y) + Float64(x * -0.0625))))) / t_0); else tmp = t_1; end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))); t_1 = (2.0 + (sin(x) * (sqrt(2.0) * ((cos(x) - cos(y)) * (sin(y) + (sin(x) / -16.0)))))) / t_0; tmp = 0.0; if (x <= -0.009) tmp = t_1; elseif (x <= 0.0036) tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * ((sqrt(2.0) * (1.0 - cos(y))) * (sin(y) + (x * -0.0625))))) / t_0; else tmp = t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $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[(N[(2.0 + N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $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]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.009], t$95$1, If[LessEqual[x, 0.0036], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
t_1 := \frac{2 + \sin x \cdot \left(\sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y + \frac{\sin x}{-16}\right)\right)\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.009:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.0036:\\
\;\;\;\;\frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(\sin y + x \cdot -0.0625\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.00899999999999999932 or 0.0035999999999999999 < x Initial program 98.8%
Simplified98.8%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr98.9%
Taylor expanded in y around 0
sin-lowering-sin.f6461.0%
Simplified61.0%
if -0.00899999999999999932 < x < 0.0035999999999999999Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6499.6%
Simplified99.6%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos y) (- 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (<= y -0.3)
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0)
(if (<= y 0.0062)
(/
(+
2.0
(*
(+ (sin x) (* y (+ -0.0625 (* (* y y) 0.010416666666666666))))
(*
(sqrt 2.0)
(*
(+ (sin y) (/ (sin x) -16.0))
(+
(cos x)
(+
-1.0
(* (* y y) (+ 0.5 (* (* y y) -0.041666666666666664)))))))))
t_0)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(+
3.0
(*
3.0
(+
(/ (cos x) (* (+ 1.0 (sqrt 5.0)) 0.5))
(/ (cos y) (* (+ 3.0 (sqrt 5.0)) 0.5))))))))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if (y <= -0.3) {
tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
} else if (y <= 0.0062) {
tmp = (2.0 + ((sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (sqrt(2.0) * ((sin(y) + (sin(x) / -16.0)) * (cos(x) + (-1.0 + ((y * y) * (0.5 + ((y * y) * -0.041666666666666664))))))))) / t_0;
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 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) :: tmp
t_0 = 3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
if (y <= (-0.3d0)) then
tmp = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * (sin(y) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
else if (y <= 0.0062d0) then
tmp = (2.0d0 + ((sin(x) + (y * ((-0.0625d0) + ((y * y) * 0.010416666666666666d0)))) * (sqrt(2.0d0) * ((sin(y) + (sin(x) / (-16.0d0))) * (cos(x) + ((-1.0d0) + ((y * y) * (0.5d0 + ((y * y) * (-0.041666666666666664d0)))))))))) / t_0
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(y) ** 2.0d0)))) / (3.0d0 + (3.0d0 * ((cos(x) / ((1.0d0 + sqrt(5.0d0)) * 0.5d0)) + (cos(y) / ((3.0d0 + sqrt(5.0d0)) * 0.5d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double tmp;
if (y <= -0.3) {
tmp = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * (Math.sin(y) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
} else if (y <= 0.0062) {
tmp = (2.0 + ((Math.sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (Math.sqrt(2.0) * ((Math.sin(y) + (Math.sin(x) / -16.0)) * (Math.cos(x) + (-1.0 + ((y * y) * (0.5 + ((y * y) * -0.041666666666666664))))))))) / t_0;
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(y), 2.0)))) / (3.0 + (3.0 * ((Math.cos(x) / ((1.0 + Math.sqrt(5.0)) * 0.5)) + (Math.cos(y) / ((3.0 + Math.sqrt(5.0)) * 0.5)))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) tmp = 0 if y <= -0.3: tmp = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * (math.sin(y) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 elif y <= 0.0062: tmp = (2.0 + ((math.sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (math.sqrt(2.0) * ((math.sin(y) + (math.sin(x) / -16.0)) * (math.cos(x) + (-1.0 + ((y * y) * (0.5 + ((y * y) * -0.041666666666666664))))))))) / t_0 else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(y), 2.0)))) / (3.0 + (3.0 * ((math.cos(x) / ((1.0 + math.sqrt(5.0)) * 0.5)) + (math.cos(y) / ((3.0 + math.sqrt(5.0)) * 0.5))))) return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if (y <= -0.3) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); elseif (y <= 0.0062) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(y * Float64(-0.0625 + Float64(Float64(y * y) * 0.010416666666666666)))) * Float64(sqrt(2.0) * Float64(Float64(sin(y) + Float64(sin(x) / -16.0)) * Float64(cos(x) + Float64(-1.0 + Float64(Float64(y * y) * Float64(0.5 + Float64(Float64(y * y) * -0.041666666666666664))))))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) / Float64(Float64(1.0 + sqrt(5.0)) * 0.5)) + Float64(cos(y) / Float64(Float64(3.0 + sqrt(5.0)) * 0.5)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))); tmp = 0.0; if (y <= -0.3) tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; elseif (y <= 0.0062) tmp = (2.0 + ((sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (sqrt(2.0) * ((sin(y) + (sin(x) / -16.0)) * (cos(x) + (-1.0 + ((y * y) * (0.5 + ((y * y) * -0.041666666666666664))))))))) / t_0; else tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 0.5))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.3], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * 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, 0.0062], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(y * N[(-0.0625 + N[(N[(y * y), $MachinePrecision] * 0.010416666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + N[(-1.0 + N[(N[(y * y), $MachinePrecision] * N[(0.5 + N[(N[(y * y), $MachinePrecision] * -0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;y \leq -0.3:\\
\;\;\;\;\frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t\_0}\\
\mathbf{elif}\;y \leq 0.0062:\\
\;\;\;\;\frac{2 + \left(\sin x + y \cdot \left(-0.0625 + \left(y \cdot y\right) \cdot 0.010416666666666666\right)\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin y + \frac{\sin x}{-16}\right) \cdot \left(\cos x + \left(-1 + \left(y \cdot y\right) \cdot \left(0.5 + \left(y \cdot y\right) \cdot -0.041666666666666664\right)\right)\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 + 3 \cdot \left(\frac{\cos x}{\left(1 + \sqrt{5}\right) \cdot 0.5} + \frac{\cos y}{\left(3 + \sqrt{5}\right) \cdot 0.5}\right)}\\
\end{array}
\end{array}
if y < -0.299999999999999989Initial program 98.8%
Simplified98.9%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr98.9%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6458.7%
Simplified58.7%
if -0.299999999999999989 < y < 0.00619999999999999978Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
if 0.00619999999999999978 < y Initial program 99.0%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f6469.9%
Simplified69.9%
Final simplification80.7%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos y) (- 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (<= y -0.06)
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0)
(if (<= y 0.0062)
(/
(+
2.0
(*
(+ (sin x) (* y (+ -0.0625 (* (* y y) 0.010416666666666666))))
(*
(sqrt 2.0)
(*
(+ (sin y) (/ (sin x) -16.0))
(+ (cos x) (+ -1.0 (* (* y y) 0.5)))))))
t_0)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(+
3.0
(*
3.0
(+
(/ (cos x) (* (+ 1.0 (sqrt 5.0)) 0.5))
(/ (cos y) (* (+ 3.0 (sqrt 5.0)) 0.5))))))))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if (y <= -0.06) {
tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
} else if (y <= 0.0062) {
tmp = (2.0 + ((sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (sqrt(2.0) * ((sin(y) + (sin(x) / -16.0)) * (cos(x) + (-1.0 + ((y * y) * 0.5))))))) / t_0;
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 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) :: tmp
t_0 = 3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
if (y <= (-0.06d0)) then
tmp = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * (sin(y) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
else if (y <= 0.0062d0) then
tmp = (2.0d0 + ((sin(x) + (y * ((-0.0625d0) + ((y * y) * 0.010416666666666666d0)))) * (sqrt(2.0d0) * ((sin(y) + (sin(x) / (-16.0d0))) * (cos(x) + ((-1.0d0) + ((y * y) * 0.5d0))))))) / t_0
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(y) ** 2.0d0)))) / (3.0d0 + (3.0d0 * ((cos(x) / ((1.0d0 + sqrt(5.0d0)) * 0.5d0)) + (cos(y) / ((3.0d0 + sqrt(5.0d0)) * 0.5d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double tmp;
if (y <= -0.06) {
tmp = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * (Math.sin(y) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
} else if (y <= 0.0062) {
tmp = (2.0 + ((Math.sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (Math.sqrt(2.0) * ((Math.sin(y) + (Math.sin(x) / -16.0)) * (Math.cos(x) + (-1.0 + ((y * y) * 0.5))))))) / t_0;
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(y), 2.0)))) / (3.0 + (3.0 * ((Math.cos(x) / ((1.0 + Math.sqrt(5.0)) * 0.5)) + (Math.cos(y) / ((3.0 + Math.sqrt(5.0)) * 0.5)))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) tmp = 0 if y <= -0.06: tmp = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * (math.sin(y) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 elif y <= 0.0062: tmp = (2.0 + ((math.sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (math.sqrt(2.0) * ((math.sin(y) + (math.sin(x) / -16.0)) * (math.cos(x) + (-1.0 + ((y * y) * 0.5))))))) / t_0 else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(y), 2.0)))) / (3.0 + (3.0 * ((math.cos(x) / ((1.0 + math.sqrt(5.0)) * 0.5)) + (math.cos(y) / ((3.0 + math.sqrt(5.0)) * 0.5))))) return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if (y <= -0.06) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); elseif (y <= 0.0062) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(y * Float64(-0.0625 + Float64(Float64(y * y) * 0.010416666666666666)))) * Float64(sqrt(2.0) * Float64(Float64(sin(y) + Float64(sin(x) / -16.0)) * Float64(cos(x) + Float64(-1.0 + Float64(Float64(y * y) * 0.5))))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) / Float64(Float64(1.0 + sqrt(5.0)) * 0.5)) + Float64(cos(y) / Float64(Float64(3.0 + sqrt(5.0)) * 0.5)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))); tmp = 0.0; if (y <= -0.06) tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; elseif (y <= 0.0062) tmp = (2.0 + ((sin(x) + (y * (-0.0625 + ((y * y) * 0.010416666666666666)))) * (sqrt(2.0) * ((sin(y) + (sin(x) / -16.0)) * (cos(x) + (-1.0 + ((y * y) * 0.5))))))) / t_0; else tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 0.5))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.06], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * 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, 0.0062], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(y * N[(-0.0625 + N[(N[(y * y), $MachinePrecision] * 0.010416666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + N[(-1.0 + N[(N[(y * y), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;y \leq -0.06:\\
\;\;\;\;\frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t\_0}\\
\mathbf{elif}\;y \leq 0.0062:\\
\;\;\;\;\frac{2 + \left(\sin x + y \cdot \left(-0.0625 + \left(y \cdot y\right) \cdot 0.010416666666666666\right)\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin y + \frac{\sin x}{-16}\right) \cdot \left(\cos x + \left(-1 + \left(y \cdot y\right) \cdot 0.5\right)\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 + 3 \cdot \left(\frac{\cos x}{\left(1 + \sqrt{5}\right) \cdot 0.5} + \frac{\cos y}{\left(3 + \sqrt{5}\right) \cdot 0.5}\right)}\\
\end{array}
\end{array}
if y < -0.059999999999999998Initial program 98.8%
Simplified98.9%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr98.9%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6458.7%
Simplified58.7%
if -0.059999999999999998 < y < 0.00619999999999999978Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.5%
Simplified99.5%
if 0.00619999999999999978 < y Initial program 99.0%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f6469.9%
Simplified69.9%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) -0.0625) (pow (sin x) 2.0))))
(+
3.0
(*
3.0
(+
(/ (cos x) (* (+ 1.0 (sqrt 5.0)) 0.5))
(/ (cos y) (* (+ 3.0 (sqrt 5.0)) 0.5))))))))
(if (<= x -0.013)
t_0
(if (<= x 0.0098)
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (* (sqrt 2.0) (- 1.0 (cos y))) (+ (sin y) (* x -0.0625)))))
(+
3.0
(*
1.5
(+ (* (cos y) (- 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0))))))
t_0))))
double code(double x, double y) {
double t_0 = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(x), 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 0.5)))));
double tmp;
if (x <= -0.013) {
tmp = t_0;
} else if (x <= 0.0098) {
tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * ((sqrt(2.0) * (1.0 - cos(y))) * (sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))));
} else {
tmp = 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 = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(x) ** 2.0d0)))) / (3.0d0 + (3.0d0 * ((cos(x) / ((1.0d0 + sqrt(5.0d0)) * 0.5d0)) + (cos(y) / ((3.0d0 + sqrt(5.0d0)) * 0.5d0)))))
if (x <= (-0.013d0)) then
tmp = t_0
else if (x <= 0.0098d0) then
tmp = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (sin(y) + (x * (-0.0625d0)))))) / (3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(x), 2.0)))) / (3.0 + (3.0 * ((Math.cos(x) / ((1.0 + Math.sqrt(5.0)) * 0.5)) + (Math.cos(y) / ((3.0 + Math.sqrt(5.0)) * 0.5)))));
double tmp;
if (x <= -0.013) {
tmp = t_0;
} else if (x <= 0.0098) {
tmp = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * (Math.sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
} else {
tmp = t_0;
}
return tmp;
}
def code(x, y): t_0 = (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(x), 2.0)))) / (3.0 + (3.0 * ((math.cos(x) / ((1.0 + math.sqrt(5.0)) * 0.5)) + (math.cos(y) / ((3.0 + math.sqrt(5.0)) * 0.5))))) tmp = 0 if x <= -0.013: tmp = t_0 elif x <= 0.0098: tmp = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * ((math.sqrt(2.0) * (1.0 - math.cos(y))) * (math.sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) else: tmp = t_0 return tmp
function code(x, y) t_0 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(x) ^ 2.0)))) / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) / Float64(Float64(1.0 + sqrt(5.0)) * 0.5)) + Float64(cos(y) / Float64(Float64(3.0 + sqrt(5.0)) * 0.5)))))) tmp = 0.0 if (x <= -0.013) tmp = t_0; elseif (x <= 0.0098) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(sin(y) + Float64(x * -0.0625))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); else tmp = t_0; end return tmp end
function tmp_2 = code(x, y) t_0 = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * (sin(x) ^ 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 0.5))))); tmp = 0.0; if (x <= -0.013) tmp = t_0; elseif (x <= 0.0098) tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * ((sqrt(2.0) * (1.0 - cos(y))) * (sin(y) + (x * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))))); else tmp = t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.013], t$95$0, If[LessEqual[x, 0.0098], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin x}^{2}\right)}{3 + 3 \cdot \left(\frac{\cos x}{\left(1 + \sqrt{5}\right) \cdot 0.5} + \frac{\cos y}{\left(3 + \sqrt{5}\right) \cdot 0.5}\right)}\\
\mathbf{if}\;x \leq -0.013:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 0.0098:\\
\;\;\;\;\frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(\sin y + x \cdot -0.0625\right)\right)}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -0.0129999999999999994 or 0.0097999999999999997 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f6457.4%
Simplified57.4%
if -0.0129999999999999994 < x < 0.0097999999999999997Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6499.6%
Simplified99.6%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos y) (- 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (<= y -0.0059)
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0)
(if (<= y 0.00365)
(/
(+
2.0
(*
(+ (sin x) (* -0.0625 y))
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (+ y (* (sin x) -0.0625)))))
t_0)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(+
3.0
(*
3.0
(+
(/ (cos x) (* (+ 1.0 (sqrt 5.0)) 0.5))
(/ (cos y) (* (+ 3.0 (sqrt 5.0)) 0.5))))))))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if (y <= -0.0059) {
tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
} else if (y <= 0.00365) {
tmp = (2.0 + ((sin(x) + (-0.0625 * y)) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / t_0;
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 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) :: tmp
t_0 = 3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
if (y <= (-0.0059d0)) then
tmp = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * (sin(y) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
else if (y <= 0.00365d0) then
tmp = (2.0d0 + ((sin(x) + ((-0.0625d0) * y)) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (y + (sin(x) * (-0.0625d0)))))) / t_0
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * (-0.0625d0)) * (sin(y) ** 2.0d0)))) / (3.0d0 + (3.0d0 * ((cos(x) / ((1.0d0 + sqrt(5.0d0)) * 0.5d0)) + (cos(y) / ((3.0d0 + sqrt(5.0d0)) * 0.5d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double tmp;
if (y <= -0.0059) {
tmp = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * (Math.sin(y) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
} else if (y <= 0.00365) {
tmp = (2.0 + ((Math.sin(x) + (-0.0625 * y)) * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (y + (Math.sin(x) * -0.0625))))) / t_0;
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * -0.0625) * Math.pow(Math.sin(y), 2.0)))) / (3.0 + (3.0 * ((Math.cos(x) / ((1.0 + Math.sqrt(5.0)) * 0.5)) + (Math.cos(y) / ((3.0 + Math.sqrt(5.0)) * 0.5)))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) tmp = 0 if y <= -0.0059: tmp = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * (math.sin(y) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 elif y <= 0.00365: tmp = (2.0 + ((math.sin(x) + (-0.0625 * y)) * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (y + (math.sin(x) * -0.0625))))) / t_0 else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * -0.0625) * math.pow(math.sin(y), 2.0)))) / (3.0 + (3.0 * ((math.cos(x) / ((1.0 + math.sqrt(5.0)) * 0.5)) + (math.cos(y) / ((3.0 + math.sqrt(5.0)) * 0.5))))) return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if (y <= -0.0059) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0); elseif (y <= 0.00365) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(-0.0625 * y)) * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(y + Float64(sin(x) * -0.0625))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) / Float64(Float64(1.0 + sqrt(5.0)) * 0.5)) + Float64(cos(y) / Float64(Float64(3.0 + sqrt(5.0)) * 0.5)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))); tmp = 0.0; if (y <= -0.0059) tmp = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; elseif (y <= 0.00365) tmp = (2.0 + ((sin(x) + (-0.0625 * y)) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / t_0; else tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / (3.0 + (3.0 * ((cos(x) / ((1.0 + sqrt(5.0)) * 0.5)) + (cos(y) / ((3.0 + sqrt(5.0)) * 0.5))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0059], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * 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, 0.00365], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * y), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(y + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;y \leq -0.0059:\\
\;\;\;\;\frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t\_0}\\
\mathbf{elif}\;y \leq 0.00365:\\
\;\;\;\;\frac{2 + \left(\sin x + -0.0625 \cdot y\right) \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(y + \sin x \cdot -0.0625\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 + 3 \cdot \left(\frac{\cos x}{\left(1 + \sqrt{5}\right) \cdot 0.5} + \frac{\cos y}{\left(3 + \sqrt{5}\right) \cdot 0.5}\right)}\\
\end{array}
\end{array}
if y < -0.00589999999999999986Initial program 98.8%
Simplified98.9%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr98.9%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6458.7%
Simplified58.7%
if -0.00589999999999999986 < y < 0.00365000000000000003Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6499.0%
Simplified99.0%
Taylor expanded in y around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6499.0%
Simplified99.0%
if 0.00365000000000000003 < y Initial program 99.0%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f6469.9%
Simplified69.9%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos y) (- 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0))))))
(t_1
(/
(+
2.0
(*
(+ (sin x) (/ (sin y) -16.0))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
t_0)))
(if (<= y -0.0058)
t_1
(if (<= y 0.00365)
(/
(+
2.0
(*
(+ (sin x) (* -0.0625 y))
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (+ y (* (sin x) -0.0625)))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))));
double t_1 = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0;
double tmp;
if (y <= -0.0058) {
tmp = t_1;
} else if (y <= 0.00365) {
tmp = (2.0 + ((sin(x) + (-0.0625 * y)) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / t_0;
} else {
tmp = 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 = 3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
t_1 = (2.0d0 + ((sin(x) + (sin(y) / (-16.0d0))) * (sin(y) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / t_0
if (y <= (-0.0058d0)) then
tmp = t_1
else if (y <= 0.00365d0) then
tmp = (2.0d0 + ((sin(x) + ((-0.0625d0) * y)) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (y + (sin(x) * (-0.0625d0)))))) / t_0
else
tmp = t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double t_1 = (2.0 + ((Math.sin(x) + (Math.sin(y) / -16.0)) * (Math.sin(y) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / t_0;
double tmp;
if (y <= -0.0058) {
tmp = t_1;
} else if (y <= 0.00365) {
tmp = (2.0 + ((Math.sin(x) + (-0.0625 * y)) * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (y + (Math.sin(x) * -0.0625))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) t_1 = (2.0 + ((math.sin(x) + (math.sin(y) / -16.0)) * (math.sin(y) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / t_0 tmp = 0 if y <= -0.0058: tmp = t_1 elif y <= 0.00365: tmp = (2.0 + ((math.sin(x) + (-0.0625 * y)) * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (y + (math.sin(x) * -0.0625))))) / t_0 else: tmp = t_1 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) t_1 = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(sin(y) / -16.0)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_0) tmp = 0.0 if (y <= -0.0058) tmp = t_1; elseif (y <= 0.00365) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(-0.0625 * y)) * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(y + Float64(sin(x) * -0.0625))))) / t_0); else tmp = t_1; end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))); t_1 = (2.0 + ((sin(x) + (sin(y) / -16.0)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_0; tmp = 0.0; if (y <= -0.0058) tmp = t_1; elseif (y <= 0.00365) tmp = (2.0 + ((sin(x) + (-0.0625 * y)) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / t_0; else tmp = t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $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[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] / -16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * 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, -0.0058], t$95$1, If[LessEqual[y, 0.00365], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * y), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(y + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
t_1 := \frac{2 + \left(\sin x + \frac{\sin y}{-16}\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.0058:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.00365:\\
\;\;\;\;\frac{2 + \left(\sin x + -0.0625 \cdot y\right) \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(y + \sin x \cdot -0.0625\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0058 or 0.00365000000000000003 < y Initial program 98.9%
Simplified99.0%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6463.5%
Simplified63.5%
if -0.0058 < y < 0.00365000000000000003Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6499.0%
Simplified99.0%
Taylor expanded in y around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6499.0%
Simplified99.0%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(+
2.0
(* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+
3.0
(*
6.0
(+
(/ (cos x) (+ 1.0 (sqrt 5.0)))
(/ (cos y) (+ 3.0 (sqrt 5.0)))))))))
(if (<= y -0.00265)
t_0
(if (<= y 0.00185)
(/
(+
2.0
(*
(+ (sin x) (* -0.0625 y))
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (+ y (* (sin x) -0.0625)))))
(+
3.0
(*
1.5
(+ (* (cos y) (- 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0))))))
t_0))))
double code(double x, double y) {
double t_0 = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0))))));
double tmp;
if (y <= -0.00265) {
tmp = t_0;
} else if (y <= 0.00185) {
tmp = (2.0 + ((sin(x) + (-0.0625 * y)) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))));
} else {
tmp = 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 = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 + (6.0d0 * ((cos(x) / (1.0d0 + sqrt(5.0d0))) + (cos(y) / (3.0d0 + sqrt(5.0d0))))))
if (y <= (-0.00265d0)) then
tmp = t_0
else if (y <= 0.00185d0) then
tmp = (2.0d0 + ((sin(x) + ((-0.0625d0) * y)) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (y + (sin(x) * (-0.0625d0)))))) / (3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (6.0 * ((Math.cos(x) / (1.0 + Math.sqrt(5.0))) + (Math.cos(y) / (3.0 + Math.sqrt(5.0))))));
double tmp;
if (y <= -0.00265) {
tmp = t_0;
} else if (y <= 0.00185) {
tmp = (2.0 + ((Math.sin(x) + (-0.0625 * y)) * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (y + (Math.sin(x) * -0.0625))))) / (3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
} else {
tmp = t_0;
}
return tmp;
}
def code(x, y): t_0 = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 + (6.0 * ((math.cos(x) / (1.0 + math.sqrt(5.0))) + (math.cos(y) / (3.0 + math.sqrt(5.0)))))) tmp = 0 if y <= -0.00265: tmp = t_0 elif y <= 0.00185: tmp = (2.0 + ((math.sin(x) + (-0.0625 * y)) * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (y + (math.sin(x) * -0.0625))))) / (3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) else: tmp = t_0 return tmp
function code(x, y) t_0 = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / Float64(1.0 + sqrt(5.0))) + Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) tmp = 0.0 if (y <= -0.00265) tmp = t_0; elseif (y <= 0.00185) tmp = Float64(Float64(2.0 + Float64(Float64(sin(x) + Float64(-0.0625 * y)) * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(y + Float64(sin(x) * -0.0625))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); else tmp = t_0; end return tmp end
function tmp_2 = code(x, y) t_0 = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0)))))); tmp = 0.0; if (y <= -0.00265) tmp = t_0; elseif (y <= 0.00185) tmp = (2.0 + ((sin(x) + (-0.0625 * y)) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))))); else tmp = t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.00265], t$95$0, If[LessEqual[y, 0.00185], N[(N[(2.0 + N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * y), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(y + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 + 6 \cdot \left(\frac{\cos x}{1 + \sqrt{5}} + \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\mathbf{if}\;y \leq -0.00265:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;y \leq 0.00185:\\
\;\;\;\;\frac{2 + \left(\sin x + -0.0625 \cdot y\right) \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(y + \sin x \cdot -0.0625\right)\right)}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if y < -0.00265000000000000001 or 0.0018500000000000001 < y Initial program 98.9%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around inf
Simplified99.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6463.2%
Simplified63.2%
if -0.00265000000000000001 < y < 0.0018500000000000001Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6499.0%
Simplified99.0%
Taylor expanded in y around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6499.0%
Simplified99.0%
Final simplification80.2%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(+
2.0
(* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+
3.0
(*
6.0
(+
(/ (cos x) (+ 1.0 (sqrt 5.0)))
(/ (cos y) (+ 3.0 (sqrt 5.0)))))))))
(if (<= y -0.0026)
t_0
(if (<= y 0.0031)
(/
(+
2.0
(*
(sin x)
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (+ y (* (sin x) -0.0625)))))
(+
3.0
(*
1.5
(+ (* (cos y) (- 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0))))))
t_0))))
double code(double x, double y) {
double t_0 = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0))))));
double tmp;
if (y <= -0.0026) {
tmp = t_0;
} else if (y <= 0.0031) {
tmp = (2.0 + (sin(x) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0)))));
} else {
tmp = 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 = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 + (6.0d0 * ((cos(x) / (1.0d0 + sqrt(5.0d0))) + (cos(y) / (3.0d0 + sqrt(5.0d0))))))
if (y <= (-0.0026d0)) then
tmp = t_0
else if (y <= 0.0031d0) then
tmp = (2.0d0 + (sin(x) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (y + (sin(x) * (-0.0625d0)))))) / (3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (6.0 * ((Math.cos(x) / (1.0 + Math.sqrt(5.0))) + (Math.cos(y) / (3.0 + Math.sqrt(5.0))))));
double tmp;
if (y <= -0.0026) {
tmp = t_0;
} else if (y <= 0.0031) {
tmp = (2.0 + (Math.sin(x) * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (y + (Math.sin(x) * -0.0625))))) / (3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
} else {
tmp = t_0;
}
return tmp;
}
def code(x, y): t_0 = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 + (6.0 * ((math.cos(x) / (1.0 + math.sqrt(5.0))) + (math.cos(y) / (3.0 + math.sqrt(5.0)))))) tmp = 0 if y <= -0.0026: tmp = t_0 elif y <= 0.0031: tmp = (2.0 + (math.sin(x) * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (y + (math.sin(x) * -0.0625))))) / (3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) else: tmp = t_0 return tmp
function code(x, y) t_0 = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / Float64(1.0 + sqrt(5.0))) + Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) tmp = 0.0 if (y <= -0.0026) tmp = t_0; elseif (y <= 0.0031) tmp = Float64(Float64(2.0 + Float64(sin(x) * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(y + Float64(sin(x) * -0.0625))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); else tmp = t_0; end return tmp end
function tmp_2 = code(x, y) t_0 = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0)))))); tmp = 0.0; if (y <= -0.0026) tmp = t_0; elseif (y <= 0.0031) tmp = (2.0 + (sin(x) * ((sqrt(2.0) * (cos(x) + -1.0)) * (y + (sin(x) * -0.0625))))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))))); else tmp = t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0026], t$95$0, If[LessEqual[y, 0.0031], N[(N[(2.0 + N[(N[Sin[x], $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(y + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 + 6 \cdot \left(\frac{\cos x}{1 + \sqrt{5}} + \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\mathbf{if}\;y \leq -0.0026:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;y \leq 0.0031:\\
\;\;\;\;\frac{2 + \sin x \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(y + \sin x \cdot -0.0625\right)\right)}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if y < -0.0025999999999999999 or 0.00309999999999999989 < y Initial program 98.9%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around inf
Simplified99.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6463.2%
Simplified63.2%
if -0.0025999999999999999 < y < 0.00309999999999999989Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6499.0%
Simplified99.0%
Taylor expanded in y around 0
sin-lowering-sin.f6498.7%
Simplified98.7%
Final simplification80.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
6.0
(+ (/ (cos x) (+ 1.0 (sqrt 5.0))) (/ (cos y) (+ 3.0 (sqrt 5.0)))))))
(t_1
(/
(+
2.0
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (* -0.0625 (pow (sin x) 2.0))))
t_0)))
(if (<= x -102.0)
t_1
(if (<= x 0.00135)
(/
(+
2.0
(* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0)))));
double t_1 = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * pow(sin(x), 2.0)))) / t_0;
double tmp;
if (x <= -102.0) {
tmp = t_1;
} else if (x <= 0.00135) {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / t_0;
} else {
tmp = 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 = 3.0d0 + (6.0d0 * ((cos(x) / (1.0d0 + sqrt(5.0d0))) + (cos(y) / (3.0d0 + sqrt(5.0d0)))))
t_1 = (2.0d0 + ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * ((-0.0625d0) * (sin(x) ** 2.0d0)))) / t_0
if (x <= (-102.0d0)) then
tmp = t_1
else if (x <= 0.00135d0) then
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / t_0
else
tmp = t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (6.0 * ((Math.cos(x) / (1.0 + Math.sqrt(5.0))) + (Math.cos(y) / (3.0 + Math.sqrt(5.0)))));
double t_1 = (2.0 + ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (-0.0625 * Math.pow(Math.sin(x), 2.0)))) / t_0;
double tmp;
if (x <= -102.0) {
tmp = t_1;
} else if (x <= 0.00135) {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (6.0 * ((math.cos(x) / (1.0 + math.sqrt(5.0))) + (math.cos(y) / (3.0 + math.sqrt(5.0))))) t_1 = (2.0 + ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (-0.0625 * math.pow(math.sin(x), 2.0)))) / t_0 tmp = 0 if x <= -102.0: tmp = t_1 elif x <= 0.00135: tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / t_0 else: tmp = t_1 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / Float64(1.0 + sqrt(5.0))) + Float64(cos(y) / Float64(3.0 + sqrt(5.0)))))) t_1 = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * (sin(x) ^ 2.0)))) / t_0) tmp = 0.0 if (x <= -102.0) tmp = t_1; elseif (x <= 0.00135) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0); else tmp = t_1; end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (6.0 * ((cos(x) / (1.0 + sqrt(5.0))) + (cos(y) / (3.0 + sqrt(5.0))))); t_1 = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * (sin(x) ^ 2.0)))) / t_0; tmp = 0.0; if (x <= -102.0) tmp = t_1; elseif (x <= 0.00135) tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / t_0; else tmp = t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -102.0], t$95$1, If[LessEqual[x, 0.00135], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 6 \cdot \left(\frac{\cos x}{1 + \sqrt{5}} + \frac{\cos y}{3 + \sqrt{5}}\right)\\
t_1 := \frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)}{t\_0}\\
\mathbf{if}\;x \leq -102:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.00135:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -102 or 0.0013500000000000001 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
Taylor expanded in x around inf
Simplified99.2%
Taylor expanded in y around 0
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f6457.5%
Simplified57.5%
if -102 < x < 0.0013500000000000001Initial program 99.5%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around inf
Simplified99.6%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6498.3%
Simplified98.3%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (sqrt 5.0)))
(t_1 (+ 3.0 (sqrt 5.0)))
(t_2
(/
(+
2.0
(* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+ 3.0 (* 6.0 (+ (/ (cos x) t_0) (/ (cos y) t_1)))))))
(if (<= y -1.25e-7)
t_2
(if (<= y 7.5e-8)
(/
(+
2.0
(*
(- 0.5 (* 0.5 (cos (* 2.0 x))))
(* (* (sqrt 2.0) -0.0625) (+ (cos x) -1.0))))
(+ 3.0 (+ (/ (* (cos x) 6.0) t_0) (/ 6.0 t_1))))
t_2))))
double code(double x, double y) {
double t_0 = 1.0 + sqrt(5.0);
double t_1 = 3.0 + sqrt(5.0);
double t_2 = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 + (6.0 * ((cos(x) / t_0) + (cos(y) / t_1))));
double tmp;
if (y <= -1.25e-7) {
tmp = t_2;
} else if (y <= 7.5e-8) {
tmp = (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * ((sqrt(2.0) * -0.0625) * (cos(x) + -1.0)))) / (3.0 + (((cos(x) * 6.0) / t_0) + (6.0 / t_1)));
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = 1.0d0 + sqrt(5.0d0)
t_1 = 3.0d0 + sqrt(5.0d0)
t_2 = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 + (6.0d0 * ((cos(x) / t_0) + (cos(y) / t_1))))
if (y <= (-1.25d-7)) then
tmp = t_2
else if (y <= 7.5d-8) then
tmp = (2.0d0 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * ((sqrt(2.0d0) * (-0.0625d0)) * (cos(x) + (-1.0d0))))) / (3.0d0 + (((cos(x) * 6.0d0) / t_0) + (6.0d0 / t_1)))
else
tmp = t_2
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 1.0 + Math.sqrt(5.0);
double t_1 = 3.0 + Math.sqrt(5.0);
double t_2 = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (6.0 * ((Math.cos(x) / t_0) + (Math.cos(y) / t_1))));
double tmp;
if (y <= -1.25e-7) {
tmp = t_2;
} else if (y <= 7.5e-8) {
tmp = (2.0 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * ((Math.sqrt(2.0) * -0.0625) * (Math.cos(x) + -1.0)))) / (3.0 + (((Math.cos(x) * 6.0) / t_0) + (6.0 / t_1)));
} else {
tmp = t_2;
}
return tmp;
}
def code(x, y): t_0 = 1.0 + math.sqrt(5.0) t_1 = 3.0 + math.sqrt(5.0) t_2 = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 + (6.0 * ((math.cos(x) / t_0) + (math.cos(y) / t_1)))) tmp = 0 if y <= -1.25e-7: tmp = t_2 elif y <= 7.5e-8: tmp = (2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * ((math.sqrt(2.0) * -0.0625) * (math.cos(x) + -1.0)))) / (3.0 + (((math.cos(x) * 6.0) / t_0) + (6.0 / t_1))) else: tmp = t_2 return tmp
function code(x, y) t_0 = Float64(1.0 + sqrt(5.0)) t_1 = Float64(3.0 + sqrt(5.0)) t_2 = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / t_0) + Float64(cos(y) / t_1))))) tmp = 0.0 if (y <= -1.25e-7) tmp = t_2; elseif (y <= 7.5e-8) tmp = Float64(Float64(2.0 + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(Float64(sqrt(2.0) * -0.0625) * Float64(cos(x) + -1.0)))) / Float64(3.0 + Float64(Float64(Float64(cos(x) * 6.0) / t_0) + Float64(6.0 / t_1)))); else tmp = t_2; end return tmp end
function tmp_2 = code(x, y) t_0 = 1.0 + sqrt(5.0); t_1 = 3.0 + sqrt(5.0); t_2 = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 + (6.0 * ((cos(x) / t_0) + (cos(y) / t_1)))); tmp = 0.0; if (y <= -1.25e-7) tmp = t_2; elseif (y <= 7.5e-8) tmp = (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * ((sqrt(2.0) * -0.0625) * (cos(x) + -1.0)))) / (3.0 + (((cos(x) * 6.0) / t_0) + (6.0 / t_1))); else tmp = t_2; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / t$95$0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.25e-7], t$95$2, If[LessEqual[y, 7.5e-8], N[(N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * 6.0), $MachinePrecision] / t$95$0), $MachinePrecision] + N[(6.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \sqrt{5}\\
t_1 := 3 + \sqrt{5}\\
t_2 := \frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 + 6 \cdot \left(\frac{\cos x}{t\_0} + \frac{\cos y}{t\_1}\right)}\\
\mathbf{if}\;y \leq -1.25 \cdot 10^{-7}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 7.5 \cdot 10^{-8}:\\
\;\;\;\;\frac{2 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot \left(\cos x + -1\right)\right)}{3 + \left(\frac{\cos x \cdot 6}{t\_0} + \frac{6}{t\_1}\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -1.24999999999999994e-7 or 7.4999999999999997e-8 < y Initial program 99.0%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around inf
Simplified99.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6463.7%
Simplified63.7%
if -1.24999999999999994e-7 < y < 7.4999999999999997e-8Initial program 99.5%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified99.4%
Applied egg-rr99.4%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (+ 3.0 (sqrt 5.0)))
(t_2
(+ 2.0 (* (- 0.5 (* 0.5 (cos (* 2.0 x)))) (* t_0 (+ (cos x) -1.0)))))
(t_3 (+ 1.0 (sqrt 5.0))))
(if (<= x -0.000175)
(/ t_2 (+ 3.0 (* 6.0 (+ (/ (cos x) t_3) (/ 1.0 t_1)))))
(if (<= x 2.15e-5)
(/
(+ 2.0 (* (- 1.0 (cos y)) (* t_0 (pow (sin y) 2.0))))
(+ 3.0 (* 6.0 (+ (/ (cos y) t_1) (/ 1.0 t_3)))))
(/ t_2 (+ 3.0 (+ (/ (* (cos x) 6.0) t_3) (/ 6.0 t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = 3.0 + sqrt(5.0);
double t_2 = 2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (t_0 * (cos(x) + -1.0)));
double t_3 = 1.0 + sqrt(5.0);
double tmp;
if (x <= -0.000175) {
tmp = t_2 / (3.0 + (6.0 * ((cos(x) / t_3) + (1.0 / t_1))));
} else if (x <= 2.15e-5) {
tmp = (2.0 + ((1.0 - cos(y)) * (t_0 * pow(sin(y), 2.0)))) / (3.0 + (6.0 * ((cos(y) / t_1) + (1.0 / t_3))));
} else {
tmp = t_2 / (3.0 + (((cos(x) * 6.0) / t_3) + (6.0 / 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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(2.0d0) * (-0.0625d0)
t_1 = 3.0d0 + sqrt(5.0d0)
t_2 = 2.0d0 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * (t_0 * (cos(x) + (-1.0d0))))
t_3 = 1.0d0 + sqrt(5.0d0)
if (x <= (-0.000175d0)) then
tmp = t_2 / (3.0d0 + (6.0d0 * ((cos(x) / t_3) + (1.0d0 / t_1))))
else if (x <= 2.15d-5) then
tmp = (2.0d0 + ((1.0d0 - cos(y)) * (t_0 * (sin(y) ** 2.0d0)))) / (3.0d0 + (6.0d0 * ((cos(y) / t_1) + (1.0d0 / t_3))))
else
tmp = t_2 / (3.0d0 + (((cos(x) * 6.0d0) / t_3) + (6.0d0 / t_1)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = 3.0 + Math.sqrt(5.0);
double t_2 = 2.0 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * (t_0 * (Math.cos(x) + -1.0)));
double t_3 = 1.0 + Math.sqrt(5.0);
double tmp;
if (x <= -0.000175) {
tmp = t_2 / (3.0 + (6.0 * ((Math.cos(x) / t_3) + (1.0 / t_1))));
} else if (x <= 2.15e-5) {
tmp = (2.0 + ((1.0 - Math.cos(y)) * (t_0 * Math.pow(Math.sin(y), 2.0)))) / (3.0 + (6.0 * ((Math.cos(y) / t_1) + (1.0 / t_3))));
} else {
tmp = t_2 / (3.0 + (((Math.cos(x) * 6.0) / t_3) + (6.0 / t_1)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = 3.0 + math.sqrt(5.0) t_2 = 2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * (t_0 * (math.cos(x) + -1.0))) t_3 = 1.0 + math.sqrt(5.0) tmp = 0 if x <= -0.000175: tmp = t_2 / (3.0 + (6.0 * ((math.cos(x) / t_3) + (1.0 / t_1)))) elif x <= 2.15e-5: tmp = (2.0 + ((1.0 - math.cos(y)) * (t_0 * math.pow(math.sin(y), 2.0)))) / (3.0 + (6.0 * ((math.cos(y) / t_1) + (1.0 / t_3)))) else: tmp = t_2 / (3.0 + (((math.cos(x) * 6.0) / t_3) + (6.0 / t_1))) return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(3.0 + sqrt(5.0)) t_2 = Float64(2.0 + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(t_0 * Float64(cos(x) + -1.0)))) t_3 = Float64(1.0 + sqrt(5.0)) tmp = 0.0 if (x <= -0.000175) tmp = Float64(t_2 / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / t_3) + Float64(1.0 / t_1))))); elseif (x <= 2.15e-5) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(t_0 * (sin(y) ^ 2.0)))) / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(y) / t_1) + Float64(1.0 / t_3))))); else tmp = Float64(t_2 / Float64(3.0 + Float64(Float64(Float64(cos(x) * 6.0) / t_3) + Float64(6.0 / t_1)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = 3.0 + sqrt(5.0); t_2 = 2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (t_0 * (cos(x) + -1.0))); t_3 = 1.0 + sqrt(5.0); tmp = 0.0; if (x <= -0.000175) tmp = t_2 / (3.0 + (6.0 * ((cos(x) / t_3) + (1.0 / t_1)))); elseif (x <= 2.15e-5) tmp = (2.0 + ((1.0 - cos(y)) * (t_0 * (sin(y) ^ 2.0)))) / (3.0 + (6.0 * ((cos(y) / t_1) + (1.0 / t_3)))); else tmp = t_2 / (3.0 + (((cos(x) * 6.0) / t_3) + (6.0 / t_1))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.000175], N[(t$95$2 / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / t$95$3), $MachinePrecision] + N[(1.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 2.15e-5], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(6.0 * N[(N[(N[Cos[y], $MachinePrecision] / t$95$1), $MachinePrecision] + N[(1.0 / t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 / N[(3.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * 6.0), $MachinePrecision] / t$95$3), $MachinePrecision] + N[(6.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := 3 + \sqrt{5}\\
t_2 := 2 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(t\_0 \cdot \left(\cos x + -1\right)\right)\\
t_3 := 1 + \sqrt{5}\\
\mathbf{if}\;x \leq -0.000175:\\
\;\;\;\;\frac{t\_2}{3 + 6 \cdot \left(\frac{\cos x}{t\_3} + \frac{1}{t\_1}\right)}\\
\mathbf{elif}\;x \leq 2.15 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(t\_0 \cdot {\sin y}^{2}\right)}{3 + 6 \cdot \left(\frac{\cos y}{t\_1} + \frac{1}{t\_3}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2}{3 + \left(\frac{\cos x \cdot 6}{t\_3} + \frac{6}{t\_1}\right)}\\
\end{array}
\end{array}
if x < -1.74999999999999998e-4Initial program 98.9%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified52.0%
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f6452.0%
Applied egg-rr52.0%
if -1.74999999999999998e-4 < x < 2.1500000000000001e-5Initial program 99.5%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified98.7%
if 2.1500000000000001e-5 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.0%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified59.2%
Applied egg-rr59.2%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (+ 3.0 (sqrt 5.0)))
(t_2
(+ 2.0 (* (- 0.5 (* 0.5 (cos (* 2.0 x)))) (* t_0 (+ (cos x) -1.0)))))
(t_3 (+ 1.0 (sqrt 5.0))))
(if (<= x -1.9e-5)
(/ t_2 (+ 3.0 (* 6.0 (+ (/ (cos x) t_3) (/ 1.0 t_1)))))
(if (<= x 1.04e-5)
(/
(+ 2.0 (* (- 1.0 (cos y)) (* t_0 (pow (sin y) 2.0))))
(+ 3.0 (* 1.5 (+ (* (cos y) (- 3.0 (sqrt 5.0))) (+ (sqrt 5.0) -1.0)))))
(/ t_2 (+ 3.0 (+ (/ (* (cos x) 6.0) t_3) (/ 6.0 t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = 3.0 + sqrt(5.0);
double t_2 = 2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (t_0 * (cos(x) + -1.0)));
double t_3 = 1.0 + sqrt(5.0);
double tmp;
if (x <= -1.9e-5) {
tmp = t_2 / (3.0 + (6.0 * ((cos(x) / t_3) + (1.0 / t_1))));
} else if (x <= 1.04e-5) {
tmp = (2.0 + ((1.0 - cos(y)) * (t_0 * pow(sin(y), 2.0)))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (sqrt(5.0) + -1.0))));
} else {
tmp = t_2 / (3.0 + (((cos(x) * 6.0) / t_3) + (6.0 / 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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(2.0d0) * (-0.0625d0)
t_1 = 3.0d0 + sqrt(5.0d0)
t_2 = 2.0d0 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * (t_0 * (cos(x) + (-1.0d0))))
t_3 = 1.0d0 + sqrt(5.0d0)
if (x <= (-1.9d-5)) then
tmp = t_2 / (3.0d0 + (6.0d0 * ((cos(x) / t_3) + (1.0d0 / t_1))))
else if (x <= 1.04d-5) then
tmp = (2.0d0 + ((1.0d0 - cos(y)) * (t_0 * (sin(y) ** 2.0d0)))) / (3.0d0 + (1.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (sqrt(5.0d0) + (-1.0d0)))))
else
tmp = t_2 / (3.0d0 + (((cos(x) * 6.0d0) / t_3) + (6.0d0 / t_1)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = 3.0 + Math.sqrt(5.0);
double t_2 = 2.0 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * (t_0 * (Math.cos(x) + -1.0)));
double t_3 = 1.0 + Math.sqrt(5.0);
double tmp;
if (x <= -1.9e-5) {
tmp = t_2 / (3.0 + (6.0 * ((Math.cos(x) / t_3) + (1.0 / t_1))));
} else if (x <= 1.04e-5) {
tmp = (2.0 + ((1.0 - Math.cos(y)) * (t_0 * Math.pow(Math.sin(y), 2.0)))) / (3.0 + (1.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.sqrt(5.0) + -1.0))));
} else {
tmp = t_2 / (3.0 + (((Math.cos(x) * 6.0) / t_3) + (6.0 / t_1)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = 3.0 + math.sqrt(5.0) t_2 = 2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * (t_0 * (math.cos(x) + -1.0))) t_3 = 1.0 + math.sqrt(5.0) tmp = 0 if x <= -1.9e-5: tmp = t_2 / (3.0 + (6.0 * ((math.cos(x) / t_3) + (1.0 / t_1)))) elif x <= 1.04e-5: tmp = (2.0 + ((1.0 - math.cos(y)) * (t_0 * math.pow(math.sin(y), 2.0)))) / (3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.sqrt(5.0) + -1.0)))) else: tmp = t_2 / (3.0 + (((math.cos(x) * 6.0) / t_3) + (6.0 / t_1))) return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(3.0 + sqrt(5.0)) t_2 = Float64(2.0 + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(t_0 * Float64(cos(x) + -1.0)))) t_3 = Float64(1.0 + sqrt(5.0)) tmp = 0.0 if (x <= -1.9e-5) tmp = Float64(t_2 / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / t_3) + Float64(1.0 / t_1))))); elseif (x <= 1.04e-5) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(t_0 * (sin(y) ^ 2.0)))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(sqrt(5.0) + -1.0))))); else tmp = Float64(t_2 / Float64(3.0 + Float64(Float64(Float64(cos(x) * 6.0) / t_3) + Float64(6.0 / t_1)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = 3.0 + sqrt(5.0); t_2 = 2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (t_0 * (cos(x) + -1.0))); t_3 = 1.0 + sqrt(5.0); tmp = 0.0; if (x <= -1.9e-5) tmp = t_2 / (3.0 + (6.0 * ((cos(x) / t_3) + (1.0 / t_1)))); elseif (x <= 1.04e-5) tmp = (2.0 + ((1.0 - cos(y)) * (t_0 * (sin(y) ^ 2.0)))) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (sqrt(5.0) + -1.0)))); else tmp = t_2 / (3.0 + (((cos(x) * 6.0) / t_3) + (6.0 / t_1))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.9e-5], N[(t$95$2 / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / t$95$3), $MachinePrecision] + N[(1.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.04e-5], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 / N[(3.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * 6.0), $MachinePrecision] / t$95$3), $MachinePrecision] + N[(6.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := 3 + \sqrt{5}\\
t_2 := 2 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(t\_0 \cdot \left(\cos x + -1\right)\right)\\
t_3 := 1 + \sqrt{5}\\
\mathbf{if}\;x \leq -1.9 \cdot 10^{-5}:\\
\;\;\;\;\frac{t\_2}{3 + 6 \cdot \left(\frac{\cos x}{t\_3} + \frac{1}{t\_1}\right)}\\
\mathbf{elif}\;x \leq 1.04 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(t\_0 \cdot {\sin y}^{2}\right)}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \left(\sqrt{5} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2}{3 + \left(\frac{\cos x \cdot 6}{t\_3} + \frac{6}{t\_1}\right)}\\
\end{array}
\end{array}
if x < -1.9000000000000001e-5Initial program 98.9%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified52.0%
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f6452.0%
Applied egg-rr52.0%
if -1.9000000000000001e-5 < x < 1.04000000000000004e-5Initial program 99.5%
Simplified99.6%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.6%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified98.7%
if 1.04000000000000004e-5 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.0%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified59.2%
Applied egg-rr59.2%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (+ 3.0 (sqrt 5.0)))
(t_2
(+ 2.0 (* (- 0.5 (* 0.5 (cos (* 2.0 x)))) (* t_0 (+ (cos x) -1.0)))))
(t_3 (+ 1.0 (sqrt 5.0))))
(if (<= x -2.35e-5)
(/ t_2 (+ 3.0 (* 6.0 (+ (/ (cos x) t_3) (/ 1.0 t_1)))))
(if (<= x 1.32e-5)
(/
(+ 2.0 (* (- 1.0 (cos y)) (* t_0 (pow (sin y) 2.0))))
(+ 1.5 (* 1.5 (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))))))
(/ t_2 (+ 3.0 (+ (/ (* (cos x) 6.0) t_3) (/ 6.0 t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = 3.0 + sqrt(5.0);
double t_2 = 2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (t_0 * (cos(x) + -1.0)));
double t_3 = 1.0 + sqrt(5.0);
double tmp;
if (x <= -2.35e-5) {
tmp = t_2 / (3.0 + (6.0 * ((cos(x) / t_3) + (1.0 / t_1))));
} else if (x <= 1.32e-5) {
tmp = (2.0 + ((1.0 - cos(y)) * (t_0 * pow(sin(y), 2.0)))) / (1.5 + (1.5 * (sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0))))));
} else {
tmp = t_2 / (3.0 + (((cos(x) * 6.0) / t_3) + (6.0 / 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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(2.0d0) * (-0.0625d0)
t_1 = 3.0d0 + sqrt(5.0d0)
t_2 = 2.0d0 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * (t_0 * (cos(x) + (-1.0d0))))
t_3 = 1.0d0 + sqrt(5.0d0)
if (x <= (-2.35d-5)) then
tmp = t_2 / (3.0d0 + (6.0d0 * ((cos(x) / t_3) + (1.0d0 / t_1))))
else if (x <= 1.32d-5) then
tmp = (2.0d0 + ((1.0d0 - cos(y)) * (t_0 * (sin(y) ** 2.0d0)))) / (1.5d0 + (1.5d0 * (sqrt(5.0d0) + (cos(y) * (3.0d0 - sqrt(5.0d0))))))
else
tmp = t_2 / (3.0d0 + (((cos(x) * 6.0d0) / t_3) + (6.0d0 / t_1)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * -0.0625;
double t_1 = 3.0 + Math.sqrt(5.0);
double t_2 = 2.0 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * (t_0 * (Math.cos(x) + -1.0)));
double t_3 = 1.0 + Math.sqrt(5.0);
double tmp;
if (x <= -2.35e-5) {
tmp = t_2 / (3.0 + (6.0 * ((Math.cos(x) / t_3) + (1.0 / t_1))));
} else if (x <= 1.32e-5) {
tmp = (2.0 + ((1.0 - Math.cos(y)) * (t_0 * Math.pow(Math.sin(y), 2.0)))) / (1.5 + (1.5 * (Math.sqrt(5.0) + (Math.cos(y) * (3.0 - Math.sqrt(5.0))))));
} else {
tmp = t_2 / (3.0 + (((Math.cos(x) * 6.0) / t_3) + (6.0 / t_1)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * -0.0625 t_1 = 3.0 + math.sqrt(5.0) t_2 = 2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * (t_0 * (math.cos(x) + -1.0))) t_3 = 1.0 + math.sqrt(5.0) tmp = 0 if x <= -2.35e-5: tmp = t_2 / (3.0 + (6.0 * ((math.cos(x) / t_3) + (1.0 / t_1)))) elif x <= 1.32e-5: tmp = (2.0 + ((1.0 - math.cos(y)) * (t_0 * math.pow(math.sin(y), 2.0)))) / (1.5 + (1.5 * (math.sqrt(5.0) + (math.cos(y) * (3.0 - math.sqrt(5.0)))))) else: tmp = t_2 / (3.0 + (((math.cos(x) * 6.0) / t_3) + (6.0 / t_1))) return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(3.0 + sqrt(5.0)) t_2 = Float64(2.0 + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(t_0 * Float64(cos(x) + -1.0)))) t_3 = Float64(1.0 + sqrt(5.0)) tmp = 0.0 if (x <= -2.35e-5) tmp = Float64(t_2 / Float64(3.0 + Float64(6.0 * Float64(Float64(cos(x) / t_3) + Float64(1.0 / t_1))))); elseif (x <= 1.32e-5) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(t_0 * (sin(y) ^ 2.0)))) / Float64(1.5 + Float64(1.5 * Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); else tmp = Float64(t_2 / Float64(3.0 + Float64(Float64(Float64(cos(x) * 6.0) / t_3) + Float64(6.0 / t_1)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * -0.0625; t_1 = 3.0 + sqrt(5.0); t_2 = 2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (t_0 * (cos(x) + -1.0))); t_3 = 1.0 + sqrt(5.0); tmp = 0.0; if (x <= -2.35e-5) tmp = t_2 / (3.0 + (6.0 * ((cos(x) / t_3) + (1.0 / t_1)))); elseif (x <= 1.32e-5) tmp = (2.0 + ((1.0 - cos(y)) * (t_0 * (sin(y) ^ 2.0)))) / (1.5 + (1.5 * (sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))))); else tmp = t_2 / (3.0 + (((cos(x) * 6.0) / t_3) + (6.0 / t_1))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2.35e-5], N[(t$95$2 / N[(3.0 + N[(6.0 * N[(N[(N[Cos[x], $MachinePrecision] / t$95$3), $MachinePrecision] + N[(1.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.32e-5], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 / N[(3.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * 6.0), $MachinePrecision] / t$95$3), $MachinePrecision] + N[(6.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := 3 + \sqrt{5}\\
t_2 := 2 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(t\_0 \cdot \left(\cos x + -1\right)\right)\\
t_3 := 1 + \sqrt{5}\\
\mathbf{if}\;x \leq -2.35 \cdot 10^{-5}:\\
\;\;\;\;\frac{t\_2}{3 + 6 \cdot \left(\frac{\cos x}{t\_3} + \frac{1}{t\_1}\right)}\\
\mathbf{elif}\;x \leq 1.32 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(t\_0 \cdot {\sin y}^{2}\right)}{1.5 + 1.5 \cdot \left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2}{3 + \left(\frac{\cos x \cdot 6}{t\_3} + \frac{6}{t\_1}\right)}\\
\end{array}
\end{array}
if x < -2.34999999999999986e-5Initial program 98.9%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.3%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified52.0%
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f6452.0%
Applied egg-rr52.0%
if -2.34999999999999986e-5 < x < 1.32000000000000007e-5Initial program 99.5%
Taylor expanded in x around 0
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-outN/A
associate-+r-N/A
+-commutativeN/A
associate-*r*N/A
metadata-evalN/A
sub-negN/A
distribute-lft-inN/A
Simplified99.4%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified98.6%
if 1.32000000000000007e-5 < x Initial program 98.8%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.0%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified59.2%
Applied egg-rr59.2%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- 0.5 (* 0.5 (cos (* 2.0 x))))
(* (* (sqrt 2.0) -0.0625) (+ (cos x) -1.0))))
(+
3.0
(+ (/ (* (cos x) 6.0) (+ 1.0 (sqrt 5.0))) (/ 6.0 (+ 3.0 (sqrt 5.0)))))))
double code(double x, double y) {
return (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * ((sqrt(2.0) * -0.0625) * (cos(x) + -1.0)))) / (3.0 + (((cos(x) * 6.0) / (1.0 + sqrt(5.0))) + (6.0 / (3.0 + sqrt(5.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * ((sqrt(2.0d0) * (-0.0625d0)) * (cos(x) + (-1.0d0))))) / (3.0d0 + (((cos(x) * 6.0d0) / (1.0d0 + sqrt(5.0d0))) + (6.0d0 / (3.0d0 + sqrt(5.0d0)))))
end function
public static double code(double x, double y) {
return (2.0 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * ((Math.sqrt(2.0) * -0.0625) * (Math.cos(x) + -1.0)))) / (3.0 + (((Math.cos(x) * 6.0) / (1.0 + Math.sqrt(5.0))) + (6.0 / (3.0 + Math.sqrt(5.0)))));
}
def code(x, y): return (2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * ((math.sqrt(2.0) * -0.0625) * (math.cos(x) + -1.0)))) / (3.0 + (((math.cos(x) * 6.0) / (1.0 + math.sqrt(5.0))) + (6.0 / (3.0 + math.sqrt(5.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(Float64(sqrt(2.0) * -0.0625) * Float64(cos(x) + -1.0)))) / Float64(3.0 + Float64(Float64(Float64(cos(x) * 6.0) / Float64(1.0 + sqrt(5.0))) + Float64(6.0 / Float64(3.0 + sqrt(5.0)))))) end
function tmp = code(x, y) tmp = (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * ((sqrt(2.0) * -0.0625) * (cos(x) + -1.0)))) / (3.0 + (((cos(x) * 6.0) / (1.0 + sqrt(5.0))) + (6.0 / (3.0 + sqrt(5.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * 6.0), $MachinePrecision] / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot \left(\cos x + -1\right)\right)}{3 + \left(\frac{\cos x \cdot 6}{1 + \sqrt{5}} + \frac{6}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.2%
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.4%
Taylor expanded in y around 0
/-lowering-/.f64N/A
Simplified58.2%
Applied egg-rr58.2%
Final simplification58.2%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- 0.5 (* 0.5 (cos (* 2.0 x))))
(* (sqrt 2.0) (+ (* -0.0625 (cos x)) 0.0625))))
(+
3.0
(+ (/ 6.0 (+ 3.0 (sqrt 5.0))) (* (+ (sqrt 5.0) -1.0) (* (cos x) 1.5))))))
double code(double x, double y) {
return (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (sqrt(2.0) * ((-0.0625 * cos(x)) + 0.0625)))) / (3.0 + ((6.0 / (3.0 + sqrt(5.0))) + ((sqrt(5.0) + -1.0) * (cos(x) * 1.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * (sqrt(2.0d0) * (((-0.0625d0) * cos(x)) + 0.0625d0)))) / (3.0d0 + ((6.0d0 / (3.0d0 + sqrt(5.0d0))) + ((sqrt(5.0d0) + (-1.0d0)) * (cos(x) * 1.5d0))))
end function
public static double code(double x, double y) {
return (2.0 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * (Math.sqrt(2.0) * ((-0.0625 * Math.cos(x)) + 0.0625)))) / (3.0 + ((6.0 / (3.0 + Math.sqrt(5.0))) + ((Math.sqrt(5.0) + -1.0) * (Math.cos(x) * 1.5))));
}
def code(x, y): return (2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * (math.sqrt(2.0) * ((-0.0625 * math.cos(x)) + 0.0625)))) / (3.0 + ((6.0 / (3.0 + math.sqrt(5.0))) + ((math.sqrt(5.0) + -1.0) * (math.cos(x) * 1.5))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(sqrt(2.0) * Float64(Float64(-0.0625 * cos(x)) + 0.0625)))) / Float64(3.0 + Float64(Float64(6.0 / Float64(3.0 + sqrt(5.0))) + Float64(Float64(sqrt(5.0) + -1.0) * Float64(cos(x) * 1.5))))) end
function tmp = code(x, y) tmp = (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (sqrt(2.0) * ((-0.0625 * cos(x)) + 0.0625)))) / (3.0 + ((6.0 / (3.0 + sqrt(5.0))) + ((sqrt(5.0) + -1.0) * (cos(x) * 1.5)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot \cos x + 0.0625\right)\right)}{3 + \left(\frac{6}{3 + \sqrt{5}} + \left(\sqrt{5} + -1\right) \cdot \left(\cos x \cdot 1.5\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around 0
Simplified58.1%
Applied egg-rr58.2%
Applied egg-rr58.2%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- 0.5 (* 0.5 (cos (* 2.0 x))))
(* (sqrt 2.0) (+ (* -0.0625 (cos x)) 0.0625))))
(+ 3.0 (* 1.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (sqrt(2.0) * ((-0.0625 * cos(x)) + 0.0625)))) / (3.0 + (1.5 * ((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 + ((0.5d0 - (0.5d0 * cos((2.0d0 * x)))) * (sqrt(2.0d0) * (((-0.0625d0) * cos(x)) + 0.0625d0)))) / (3.0d0 + (1.5d0 * ((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 + ((0.5 - (0.5 * Math.cos((2.0 * x)))) * (Math.sqrt(2.0) * ((-0.0625 * Math.cos(x)) + 0.0625)))) / (3.0 + (1.5 * ((3.0 - Math.sqrt(5.0)) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + ((0.5 - (0.5 * math.cos((2.0 * x)))) * (math.sqrt(2.0) * ((-0.0625 * math.cos(x)) + 0.0625)))) / (3.0 + (1.5 * ((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(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * x)))) * Float64(sqrt(2.0) * Float64(Float64(-0.0625 * cos(x)) + 0.0625)))) / Float64(3.0 + Float64(1.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + ((0.5 - (0.5 * cos((2.0 * x)))) * (sqrt(2.0) * ((-0.0625 * cos(x)) + 0.0625)))) / (3.0 + (1.5 * ((3.0 - sqrt(5.0)) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $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 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot x\right)\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot \cos x + 0.0625\right)\right)}{3 + 1.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around 0
Simplified58.1%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
sqr-sin-aN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6458.1%
Applied egg-rr58.1%
Final simplification58.1%
(FPCore (x y)
:precision binary64
(/
2.0
(+
3.0
(*
1.5
(+ (* (cos y) (- 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return 2.0 / (3.0 + (1.5 * ((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 / (3.0d0 + (1.5d0 * ((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 / (3.0 + (1.5 * ((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 / (3.0 + (1.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(2.0 / Float64(3.0 + Float64(1.5 * Float64(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 / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(2.0 / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $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}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.3%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6456.2%
Simplified56.2%
Taylor expanded in x around 0
Simplified46.4%
(FPCore (x y) :precision binary64 (/ 2.0 (+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ (* (cos y) (- 3.0 (sqrt 5.0))) -1.0))))))
double code(double x, double y) {
return 2.0 / (3.0 + (1.5 * (sqrt(5.0) + ((cos(y) * (3.0 - sqrt(5.0))) + -1.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 2.0d0 / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (-1.0d0)))))
end function
public static double code(double x, double y) {
return 2.0 / (3.0 + (1.5 * (Math.sqrt(5.0) + ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + -1.0))));
}
def code(x, y): return 2.0 / (3.0 + (1.5 * (math.sqrt(5.0) + ((math.cos(y) * (3.0 - math.sqrt(5.0))) + -1.0))))
function code(x, y) return Float64(2.0 / Float64(3.0 + Float64(1.5 * Float64(sqrt(5.0) + Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + -1.0))))) end
function tmp = code(x, y) tmp = 2.0 / (3.0 + (1.5 * (sqrt(5.0) + ((cos(y) * (3.0 - sqrt(5.0))) + -1.0)))); end
code[x_, y_] := N[(2.0 / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{3 + 1.5 \cdot \left(\sqrt{5} + \left(\cos y \cdot \left(3 - \sqrt{5}\right) + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
frac-2negN/A
metadata-evalN/A
div-invN/A
cancel-sign-sub-invN/A
div-invN/A
associate-*l*N/A
*-commutativeN/A
Applied egg-rr99.3%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6456.2%
Simplified56.2%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6444.1%
Simplified44.1%
(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%
Simplified99.3%
Taylor expanded in y around 0
Simplified58.1%
Taylor expanded in x around 0
Simplified41.9%
herbie shell --seed 2024150
(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))))))