
(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 18 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(+
(* (cos y) (/ 6.0 (+ 3.0 (sqrt 5.0))))
(* (cos x) (* (+ (sqrt 5.0) -1.0) 1.5))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + ((cos(y) * (6.0 / (3.0 + sqrt(5.0)))) + (cos(x) * ((sqrt(5.0) + -1.0) * 1.5))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(6.0 / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) * 1.5))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \left(\cos y \cdot \frac{6}{3 + \sqrt{5}} + \cos x \cdot \left(\left(\sqrt{5} + -1\right) \cdot 1.5\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.2%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
fma-undefine99.4%
associate-*l/99.4%
metadata-eval99.4%
associate-*l*99.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))
double code(double x, double y) {
return (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
}
def code(x, y): return (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))) end
function tmp = code(x, y) tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}
\end{array}
Initial program 99.2%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.3%
+-commutative99.4%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
return (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) / 2.0d0
code = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * ((sin(x) - (sin(y) / 16.0d0)) * (sin(y) - (sin(x) / 16.0d0)))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
return (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * ((Math.sin(x) - (Math.sin(y) / 16.0)) * (Math.sin(y) - (Math.sin(x) / 16.0)))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 return (2.0 + ((math.cos(x) - math.cos(y)) * (math.sqrt(2.0) * ((math.sin(x) - (math.sin(y) / 16.0)) * (math.sin(y) - (math.sin(x) / 16.0)))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))))
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_2 (- (cos x) (cos y))))
(if (or (<= x -0.028) (not (<= x 0.04)))
(/ (+ 2.0 (* t_2 (* t_0 (* (sqrt 2.0) (sin x))))) t_1)
(/
(+ 2.0 (* t_2 (* t_0 (* (sqrt 2.0) (+ x (* (sin y) -0.0625))))))
t_1))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = cos(x) - cos(y);
double tmp;
if ((x <= -0.028) || !(x <= 0.04)) {
tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * sin(x))))) / t_1;
} else {
tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sin(y) - (sin(x) / 16.0d0)
t_1 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
t_2 = cos(x) - cos(y)
if ((x <= (-0.028d0)) .or. (.not. (x <= 0.04d0))) then
tmp = (2.0d0 + (t_2 * (t_0 * (sqrt(2.0d0) * sin(x))))) / t_1
else
tmp = (2.0d0 + (t_2 * (t_0 * (sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0))))))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double t_2 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -0.028) || !(x <= 0.04)) {
tmp = (2.0 + (t_2 * (t_0 * (Math.sqrt(2.0) * Math.sin(x))))) / t_1;
} else {
tmp = (2.0 + (t_2 * (t_0 * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) t_2 = math.cos(x) - math.cos(y) tmp = 0 if (x <= -0.028) or not (x <= 0.04): tmp = (2.0 + (t_2 * (t_0 * (math.sqrt(2.0) * math.sin(x))))) / t_1 else: tmp = (2.0 + (t_2 * (t_0 * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))))) / t_1 return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_2 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -0.028) || !(x <= 0.04)) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_0 * Float64(sqrt(2.0) * sin(x))))) / t_1); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); t_2 = cos(x) - cos(y); tmp = 0.0; if ((x <= -0.028) || ~((x <= 0.04))) tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * sin(x))))) / t_1; else tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.028], N[Not[LessEqual[x, 0.04]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$2 * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_2 := \cos x - \cos y\\
\mathbf{if}\;x \leq -0.028 \lor \neg \left(x \leq 0.04\right):\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(t\_0 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(t\_0 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right)}{t\_1}\\
\end{array}
\end{array}
if x < -0.0280000000000000006 or 0.0400000000000000008 < x Initial program 99.0%
expm1-log1p-u77.7%
expm1-undefine77.7%
div-inv77.7%
metadata-eval77.7%
Applied egg-rr77.7%
Taylor expanded in y around 0 62.0%
if -0.0280000000000000006 < x < 0.0400000000000000008Initial program 99.5%
expm1-log1p-u99.5%
expm1-undefine99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0 98.9%
associate-*r*98.9%
distribute-rgt-out98.9%
Simplified98.9%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (or (<= x -0.0006) (not (<= x 0.016)))
(/ (+ 2.0 (* (- (cos x) (cos y)) (* t_0 (* (sqrt 2.0) (sin x))))) t_1)
(/
(+
2.0
(* (* t_0 (* (sqrt 2.0) (+ x (* (sin y) -0.0625)))) (- 1.0 (cos y))))
t_1))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.0006) || !(x <= 0.016)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0) * sin(x))))) / t_1;
} else {
tmp = (2.0 + ((t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sin(y) - (sin(x) / 16.0d0)
t_1 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if ((x <= (-0.0006d0)) .or. (.not. (x <= 0.016d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0d0) * sin(x))))) / t_1
else
tmp = (2.0d0 + ((t_0 * (sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0))))) * (1.0d0 - cos(y)))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.0006) || !(x <= 0.016)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (t_0 * (Math.sqrt(2.0) * Math.sin(x))))) / t_1;
} else {
tmp = (2.0 + ((t_0 * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))) * (1.0 - Math.cos(y)))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) tmp = 0 if (x <= -0.0006) or not (x <= 0.016): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (t_0 * (math.sqrt(2.0) * math.sin(x))))) / t_1 else: tmp = (2.0 + ((t_0 * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))) * (1.0 - math.cos(y)))) / t_1 return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if ((x <= -0.0006) || !(x <= 0.016)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_0 * Float64(sqrt(2.0) * sin(x))))) / t_1); else tmp = Float64(Float64(2.0 + Float64(Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))) * Float64(1.0 - cos(y)))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if ((x <= -0.0006) || ~((x <= 0.016))) tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0) * sin(x))))) / t_1; else tmp = (2.0 + ((t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0006], N[Not[LessEqual[x, 0.016]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.0006 \lor \neg \left(x \leq 0.016\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(t\_0 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(t\_0 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right) \cdot \left(1 - \cos y\right)}{t\_1}\\
\end{array}
\end{array}
if x < -5.99999999999999947e-4 or 0.016 < x Initial program 99.0%
expm1-log1p-u77.9%
expm1-undefine77.9%
div-inv77.9%
metadata-eval77.9%
Applied egg-rr77.9%
Taylor expanded in y around 0 62.3%
if -5.99999999999999947e-4 < x < 0.016Initial program 99.5%
expm1-log1p-u99.5%
expm1-undefine99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
sub-neg99.6%
log1p-undefine99.6%
rem-exp-log99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.8%
associate-*r*98.8%
metadata-eval98.8%
distribute-rgt-out98.8%
metadata-eval98.8%
Simplified98.8%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1)))))))
(if (<= x -0.0006)
(/ (+ 2.0 (* t_0 (+ (cos x) -1.0))) t_2)
(if (<= x 0.008)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (+ x (* (sin y) -0.0625))))
(- 1.0 (cos y))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/ (+ 2.0 (* (- (cos x) (cos y)) t_0)) t_2)))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0));
double t_1 = sqrt(5.0) / 2.0;
double t_2 = 3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1))));
double tmp;
if (x <= -0.0006) {
tmp = (2.0 + (t_0 * (cos(x) + -1.0))) / t_2;
} else if (x <= 0.008) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * t_0)) / t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sqrt(2.0d0) * ((-0.0625d0) * (sin(x) ** 2.0d0))
t_1 = sqrt(5.0d0) / 2.0d0
t_2 = 3.0d0 * (1.0d0 + ((cos(x) * (t_1 - 0.5d0)) + (cos(y) * (1.5d0 - t_1))))
if (x <= (-0.0006d0)) then
tmp = (2.0d0 + (t_0 * (cos(x) + (-1.0d0)))) / t_2
else if (x <= 0.008d0) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0))))) * (1.0d0 - cos(y)))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * t_0)) / t_2
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(2.0) * (-0.0625 * Math.pow(Math.sin(x), 2.0));
double t_1 = Math.sqrt(5.0) / 2.0;
double t_2 = 3.0 * (1.0 + ((Math.cos(x) * (t_1 - 0.5)) + (Math.cos(y) * (1.5 - t_1))));
double tmp;
if (x <= -0.0006) {
tmp = (2.0 + (t_0 * (Math.cos(x) + -1.0))) / t_2;
} else if (x <= 0.008) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))) * (1.0 - Math.cos(y)))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * t_0)) / t_2;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(2.0) * (-0.0625 * math.pow(math.sin(x), 2.0)) t_1 = math.sqrt(5.0) / 2.0 t_2 = 3.0 * (1.0 + ((math.cos(x) * (t_1 - 0.5)) + (math.cos(y) * (1.5 - t_1)))) tmp = 0 if x <= -0.0006: tmp = (2.0 + (t_0 * (math.cos(x) + -1.0))) / t_2 elif x <= 0.008: tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))) * (1.0 - math.cos(y)))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * t_0)) / t_2 return tmp
function code(x, y) t_0 = Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1))))) tmp = 0.0 if (x <= -0.0006) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(cos(x) + -1.0))) / t_2); elseif (x <= 0.008) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))) * Float64(1.0 - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * t_0)) / t_2); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(2.0) * (-0.0625 * (sin(x) ^ 2.0)); t_1 = sqrt(5.0) / 2.0; t_2 = 3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1)))); tmp = 0.0; if (x <= -0.0006) tmp = (2.0 + (t_0 * (cos(x) + -1.0))) / t_2; elseif (x <= 0.008) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (x + (sin(y) * -0.0625)))) * (1.0 - cos(y)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + ((cos(x) - cos(y)) * t_0)) / t_2; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0006], N[(N[(2.0 + N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[x, 0.008], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := 3 \cdot \left(1 + \left(\cos x \cdot \left(t\_1 - 0.5\right) + \cos y \cdot \left(1.5 - t\_1\right)\right)\right)\\
\mathbf{if}\;x \leq -0.0006:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\cos x + -1\right)}{t\_2}\\
\mathbf{elif}\;x \leq 0.008:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right) \cdot \left(1 - \cos y\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot t\_0}{t\_2}\\
\end{array}
\end{array}
if x < -5.99999999999999947e-4Initial program 99.2%
associate-*l*99.1%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in y around 0 59.7%
associate-*r*59.7%
*-commutative59.7%
Simplified59.7%
Taylor expanded in y around 0 60.1%
if -5.99999999999999947e-4 < x < 0.0080000000000000002Initial program 99.5%
expm1-log1p-u99.5%
expm1-undefine99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
sub-neg99.6%
log1p-undefine99.6%
rem-exp-log99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.8%
associate-*r*98.8%
metadata-eval98.8%
distribute-rgt-out98.8%
metadata-eval98.8%
Simplified98.8%
if 0.0080000000000000002 < x Initial program 98.7%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 57.2%
associate-*r*57.2%
*-commutative57.2%
Simplified57.2%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y))) (t_1 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -5.4e-8) (not (<= y 9.2e-10)))
(/
(+ 2.0 (* t_0 (* (sqrt 2.0) (* -0.0625 (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1))))))
(/
(+
2.0
(*
t_0
(* (sin x) (* (sqrt 2.0) (+ (* (sin x) -0.0625) (* y 1.00390625))))))
(*
3.0
(+
1.0
(+
1.5
(- (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)) (* (sqrt 5.0) 0.5)))))))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -5.4e-8) || !(y <= 9.2e-10)) {
tmp = (2.0 + (t_0 * (sqrt(2.0) * (-0.0625 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1)))));
} else {
tmp = (2.0 + (t_0 * (sin(x) * (sqrt(2.0) * ((sin(x) * -0.0625) + (y * 1.00390625)))))) / (3.0 * (1.0 + (1.5 + ((cos(x) * fma(0.5, sqrt(5.0), -0.5)) - (sqrt(5.0) * 0.5)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -5.4e-8) || !(y <= 9.2e-10)) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1)))))); else tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(sin(x) * Float64(sqrt(2.0) * Float64(Float64(sin(x) * -0.0625) + Float64(y * 1.00390625)))))) / Float64(3.0 * Float64(1.0 + Float64(1.5 + Float64(Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5)) - Float64(sqrt(5.0) * 0.5)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[y, -5.4e-8], N[Not[LessEqual[y, 9.2e-10]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$0 * N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision] + N[(y * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(1.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -5.4 \cdot 10^{-8} \lor \neg \left(y \leq 9.2 \cdot 10^{-10}\right):\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_1 - 0.5\right) + \cos y \cdot \left(1.5 - t\_1\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\sin x \cdot \left(\sqrt{2} \cdot \left(\sin x \cdot -0.0625 + y \cdot 1.00390625\right)\right)\right)}{3 \cdot \left(1 + \left(1.5 + \left(\cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right) - \sqrt{5} \cdot 0.5\right)\right)\right)}\\
\end{array}
\end{array}
if y < -5.40000000000000005e-8 or 9.20000000000000028e-10 < y Initial program 99.0%
associate-*l*99.0%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.0%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in x around 0 62.1%
associate-*r*60.0%
*-commutative60.0%
Simplified62.1%
if -5.40000000000000005e-8 < y < 9.20000000000000028e-10Initial program 99.6%
associate-*l*99.5%
distribute-rgt-in99.5%
cos-neg99.5%
distribute-rgt-in99.5%
associate-+l+99.5%
Simplified99.5%
Taylor expanded in y around 0 99.6%
associate--l+99.7%
fmm-def99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
unpow299.7%
associate-*r*99.7%
metadata-eval99.7%
distribute-lft-neg-in99.7%
*-commutative99.7%
distribute-rgt1-in99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
*-commutative99.7%
distribute-lft-neg-in99.7%
metadata-eval99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around inf 99.7%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -5.4e-8) (not (<= y 9.2e-10)))
(/
(+
2.0
(* (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(+ (cos x) -1.0)
(* (sqrt 2.0) (* (sin x) (+ (* (sin x) -0.0625) (* y 1.00390625))))))
(*
3.0
(+
1.0
(+
1.5
(- (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)) (* (sqrt 5.0) 0.5)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -5.4e-8) || !(y <= 9.2e-10)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (sin(x) * ((sin(x) * -0.0625) + (y * 1.00390625)))))) / (3.0 * (1.0 + (1.5 + ((cos(x) * fma(0.5, sqrt(5.0), -0.5)) - (sqrt(5.0) * 0.5)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -5.4e-8) || !(y <= 9.2e-10)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(sqrt(2.0) * Float64(sin(x) * Float64(Float64(sin(x) * -0.0625) + Float64(y * 1.00390625)))))) / Float64(3.0 * Float64(1.0 + Float64(1.5 + Float64(Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5)) - Float64(sqrt(5.0) * 0.5)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[y, -5.4e-8], N[Not[LessEqual[y, 9.2e-10]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision] + N[(y * 1.00390625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(1.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -5.4 \cdot 10^{-8} \lor \neg \left(y \leq 9.2 \cdot 10^{-10}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\sqrt{2} \cdot \left(\sin x \cdot \left(\sin x \cdot -0.0625 + y \cdot 1.00390625\right)\right)\right)}{3 \cdot \left(1 + \left(1.5 + \left(\cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right) - \sqrt{5} \cdot 0.5\right)\right)\right)}\\
\end{array}
\end{array}
if y < -5.40000000000000005e-8 or 9.20000000000000028e-10 < y Initial program 99.0%
associate-*l*99.0%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.0%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in x around 0 62.1%
associate-*r*60.0%
*-commutative60.0%
Simplified62.1%
if -5.40000000000000005e-8 < y < 9.20000000000000028e-10Initial program 99.6%
associate-*l*99.5%
distribute-rgt-in99.5%
cos-neg99.5%
distribute-rgt-in99.5%
associate-+l+99.5%
Simplified99.5%
Taylor expanded in y around 0 99.6%
associate--l+99.7%
fmm-def99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
unpow299.7%
associate-*r*99.7%
metadata-eval99.7%
distribute-lft-neg-in99.7%
*-commutative99.7%
distribute-rgt1-in99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
*-commutative99.7%
distribute-lft-neg-in99.7%
metadata-eval99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (- (cos x) (cos y)))
(t_2 (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))))
(t_3 (/ (sqrt 5.0) 2.0))
(t_4
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_3 0.5)) (* (cos y) (- 1.5 t_3)))))))
(if (<= x -1.75e-5)
(/ (+ 2.0 (* t_2 (+ (cos x) -1.0))) t_4)
(if (<= x 0.007)
(/
(+ 2.0 (* t_1 (* (sqrt 2.0) (* -0.0625 (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5))))
(/ (+ 2.0 (* t_1 t_2)) t_4)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = cos(x) - cos(y);
double t_2 = sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0));
double t_3 = sqrt(5.0) / 2.0;
double t_4 = 3.0 * (1.0 + ((cos(x) * (t_3 - 0.5)) + (cos(y) * (1.5 - t_3))));
double tmp;
if (x <= -1.75e-5) {
tmp = (2.0 + (t_2 * (cos(x) + -1.0))) / t_4;
} else if (x <= 0.007) {
tmp = (2.0 + (t_1 * (sqrt(2.0) * (-0.0625 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5)));
} else {
tmp = (2.0 + (t_1 * t_2)) / t_4;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = cos(x) - cos(y)
t_2 = sqrt(2.0d0) * ((-0.0625d0) * (sin(x) ** 2.0d0))
t_3 = sqrt(5.0d0) / 2.0d0
t_4 = 3.0d0 * (1.0d0 + ((cos(x) * (t_3 - 0.5d0)) + (cos(y) * (1.5d0 - t_3))))
if (x <= (-1.75d-5)) then
tmp = (2.0d0 + (t_2 * (cos(x) + (-1.0d0)))) / t_4
else if (x <= 0.007d0) then
tmp = (2.0d0 + (t_1 * (sqrt(2.0d0) * ((-0.0625d0) * (sin(y) ** 2.0d0))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) * (1.5d0 - t_0))) - 0.5d0)))
else
tmp = (2.0d0 + (t_1 * t_2)) / t_4
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = Math.cos(x) - Math.cos(y);
double t_2 = Math.sqrt(2.0) * (-0.0625 * Math.pow(Math.sin(x), 2.0));
double t_3 = Math.sqrt(5.0) / 2.0;
double t_4 = 3.0 * (1.0 + ((Math.cos(x) * (t_3 - 0.5)) + (Math.cos(y) * (1.5 - t_3))));
double tmp;
if (x <= -1.75e-5) {
tmp = (2.0 + (t_2 * (Math.cos(x) + -1.0))) / t_4;
} else if (x <= 0.007) {
tmp = (2.0 + (t_1 * (Math.sqrt(2.0) * (-0.0625 * Math.pow(Math.sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) * (1.5 - t_0))) - 0.5)));
} else {
tmp = (2.0 + (t_1 * t_2)) / t_4;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.cos(x) - math.cos(y) t_2 = math.sqrt(2.0) * (-0.0625 * math.pow(math.sin(x), 2.0)) t_3 = math.sqrt(5.0) / 2.0 t_4 = 3.0 * (1.0 + ((math.cos(x) * (t_3 - 0.5)) + (math.cos(y) * (1.5 - t_3)))) tmp = 0 if x <= -1.75e-5: tmp = (2.0 + (t_2 * (math.cos(x) + -1.0))) / t_4 elif x <= 0.007: tmp = (2.0 + (t_1 * (math.sqrt(2.0) * (-0.0625 * math.pow(math.sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) * (1.5 - t_0))) - 0.5))) else: tmp = (2.0 + (t_1 * t_2)) / t_4 return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) t_3 = Float64(sqrt(5.0) / 2.0) t_4 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_3 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_3))))) tmp = 0.0 if (x <= -1.75e-5) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(cos(x) + -1.0))) / t_4); elseif (x <= 0.007) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); else tmp = Float64(Float64(2.0 + Float64(t_1 * t_2)) / t_4); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = cos(x) - cos(y); t_2 = sqrt(2.0) * (-0.0625 * (sin(x) ^ 2.0)); t_3 = sqrt(5.0) / 2.0; t_4 = 3.0 * (1.0 + ((cos(x) * (t_3 - 0.5)) + (cos(y) * (1.5 - t_3)))); tmp = 0.0; if (x <= -1.75e-5) tmp = (2.0 + (t_2 * (cos(x) + -1.0))) / t_4; elseif (x <= 0.007) tmp = (2.0 + (t_1 * (sqrt(2.0) * (-0.0625 * (sin(y) ^ 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5))); else tmp = (2.0 + (t_1 * t_2)) / t_4; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.75e-5], N[(N[(2.0 + N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision], If[LessEqual[x, 0.007], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \cos x - \cos y\\
t_2 := \sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\\
t_3 := \frac{\sqrt{5}}{2}\\
t_4 := 3 \cdot \left(1 + \left(\cos x \cdot \left(t\_3 - 0.5\right) + \cos y \cdot \left(1.5 - t\_3\right)\right)\right)\\
\mathbf{if}\;x \leq -1.75 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(\cos x + -1\right)}{t\_4}\\
\mathbf{elif}\;x \leq 0.007:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t\_0 + \cos y \cdot \left(1.5 - t\_0\right)\right) - 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot t\_2}{t\_4}\\
\end{array}
\end{array}
if x < -1.7499999999999998e-5Initial program 99.2%
associate-*l*99.1%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in y around 0 59.7%
associate-*r*59.7%
*-commutative59.7%
Simplified59.7%
Taylor expanded in y around 0 60.1%
if -1.7499999999999998e-5 < x < 0.00700000000000000015Initial program 99.5%
associate-*l*99.5%
distribute-rgt-in99.5%
cos-neg99.5%
distribute-rgt-in99.5%
associate-+l+99.5%
Simplified99.5%
Taylor expanded in x around 0 98.7%
Taylor expanded in x around 0 98.4%
associate-*r*98.4%
*-commutative98.4%
Simplified98.4%
if 0.00700000000000000015 < x Initial program 98.7%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 57.2%
associate-*r*57.2%
*-commutative57.2%
Simplified57.2%
Final simplification78.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -1.1e-5) (not (<= x 0.007)))
(/
(+ 2.0 (* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1))))))
(/
(+
2.0
(* (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -1.1e-5) || !(x <= 0.007)) {
tmp = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1)))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_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) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = sqrt(5.0d0) / 2.0d0
if ((x <= (-1.1d-5)) .or. (.not. (x <= 0.007d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * ((-0.0625d0) * (sin(x) ** 2.0d0))) * (cos(x) + (-1.0d0)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_1 - 0.5d0)) + (cos(y) * (1.5d0 - t_1)))))
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * ((-0.0625d0) * (sin(y) ** 2.0d0))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) * (1.5d0 - t_0))) - 0.5d0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -1.1e-5) || !(x <= 0.007)) {
tmp = (2.0 + ((Math.sqrt(2.0) * (-0.0625 * Math.pow(Math.sin(x), 2.0))) * (Math.cos(x) + -1.0))) / (3.0 * (1.0 + ((Math.cos(x) * (t_1 - 0.5)) + (Math.cos(y) * (1.5 - t_1)))));
} 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 * (1.0 + ((t_0 + (Math.cos(y) * (1.5 - t_0))) - 0.5)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -1.1e-5) or not (x <= 0.007): tmp = (2.0 + ((math.sqrt(2.0) * (-0.0625 * math.pow(math.sin(x), 2.0))) * (math.cos(x) + -1.0))) / (3.0 * (1.0 + ((math.cos(x) * (t_1 - 0.5)) + (math.cos(y) * (1.5 - t_1))))) 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 * (1.0 + ((t_0 + (math.cos(y) * (1.5 - t_0))) - 0.5))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -1.1e-5) || !(x <= 0.007)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -1.1e-5) || ~((x <= 0.007))) tmp = (2.0 + ((sqrt(2.0) * (-0.0625 * (sin(x) ^ 2.0))) * (cos(x) + -1.0))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1))))); else tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * (sin(y) ^ 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -1.1e-5], N[Not[LessEqual[x, 0.007]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -1.1 \cdot 10^{-5} \lor \neg \left(x \leq 0.007\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_1 - 0.5\right) + \cos y \cdot \left(1.5 - t\_1\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t\_0 + \cos y \cdot \left(1.5 - t\_0\right)\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -1.1e-5 or 0.00700000000000000015 < x Initial program 99.0%
associate-*l*99.0%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.0%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 58.5%
associate-*r*58.5%
*-commutative58.5%
Simplified58.5%
Taylor expanded in y around 0 58.7%
if -1.1e-5 < x < 0.00700000000000000015Initial program 99.5%
associate-*l*99.5%
distribute-rgt-in99.5%
cos-neg99.5%
distribute-rgt-in99.5%
associate-+l+99.5%
Simplified99.5%
Taylor expanded in x around 0 98.7%
Taylor expanded in x around 0 98.4%
associate-*r*98.4%
*-commutative98.4%
Simplified98.4%
Final simplification77.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -1.85e-5) (not (<= x 0.007)))
(/
(+
2.0
(* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
(* 3.0 (+ 1.0 (+ 1.5 (- (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)) t_0)))))
(/
(+
2.0
(* (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -1.85e-5) || !(x <= 0.007)) {
tmp = (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 * (1.0 + (1.5 + ((cos(x) * fma(0.5, sqrt(5.0), -0.5)) - t_0))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -1.85e-5) || !(x <= 0.007)) tmp = Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 * Float64(1.0 + Float64(1.5 + Float64(Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5)) - t_0))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -1.85e-5], N[Not[LessEqual[x, 0.007]], $MachinePrecision]], N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(1.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -1.85 \cdot 10^{-5} \lor \neg \left(x \leq 0.007\right):\\
\;\;\;\;\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 \cdot \left(1 + \left(1.5 + \left(\cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right) - t\_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\left(t\_0 + \cos y \cdot \left(1.5 - t\_0\right)\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -1.84999999999999991e-5 or 0.00700000000000000015 < x Initial program 99.0%
associate-*l*99.0%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in99.0%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 57.2%
associate--l+57.2%
fmm-def57.2%
metadata-eval57.2%
Simplified57.2%
Taylor expanded in y around 0 56.4%
associate-*r*56.4%
*-commutative56.4%
associate-*l*56.4%
*-commutative56.4%
associate-*l*56.4%
sub-neg56.4%
metadata-eval56.4%
distribute-rgt-in56.4%
metadata-eval56.4%
+-commutative56.4%
Simplified56.4%
if -1.84999999999999991e-5 < x < 0.00700000000000000015Initial program 99.5%
associate-*l*99.5%
distribute-rgt-in99.5%
cos-neg99.5%
distribute-rgt-in99.5%
associate-+l+99.5%
Simplified99.5%
Taylor expanded in x around 0 98.7%
Taylor expanded in x around 0 98.4%
associate-*r*98.4%
*-commutative98.4%
Simplified98.4%
Final simplification76.8%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
(*
3.0
(+
1.0
(+ 1.5 (- (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)) (* (sqrt 5.0) 0.5)))))))
double code(double x, double y) {
return (2.0 + (pow(sin(x), 2.0) * (sqrt(2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 * (1.0 + (1.5 + ((cos(x) * fma(0.5, sqrt(5.0), -0.5)) - (sqrt(5.0) * 0.5)))));
}
function code(x, y) return Float64(Float64(2.0 + Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 * Float64(1.0 + Float64(1.5 + Float64(Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5)) - Float64(sqrt(5.0) * 0.5)))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(1.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 \cdot \left(1 + \left(1.5 + \left(\cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right) - \sqrt{5} \cdot 0.5\right)\right)\right)}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in y around 0 56.0%
associate-*r*56.0%
*-commutative56.0%
associate-*l*56.0%
*-commutative56.0%
associate-*l*56.0%
sub-neg56.0%
metadata-eval56.0%
distribute-rgt-in56.0%
metadata-eval56.0%
+-commutative56.0%
Simplified56.0%
Final simplification56.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(* 3.0 (+ 1.0 (+ 1.5 (- (* (cos x) (- t_0 0.5)) t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * (1.0 + (1.5 + ((cos(x) * (t_0 - 0.5)) - t_0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 * (1.0d0 + (1.5d0 + ((cos(x) * (t_0 - 0.5d0)) - t_0))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 * (1.0 + (1.5 + ((Math.cos(x) * (t_0 - 0.5)) - t_0))));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 * (1.0 + (1.5 + ((math.cos(x) * (t_0 - 0.5)) - t_0))))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(1.0 + Float64(1.5 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) - t_0))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * (1.0 + (1.5 + ((cos(x) * (t_0 - 0.5)) - t_0)))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(1.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(1 + \left(1.5 + \left(\cos x \cdot \left(t\_0 - 0.5\right) - t\_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in x around 0 40.2%
Taylor expanded in x around inf 40.2%
Final simplification40.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(* 3.0 (+ 1.0 (- (+ 1.5 (* (cos x) (- t_0 0.5))) t_0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * (1.0 + ((1.5 + (cos(x) * (t_0 - 0.5))) - t_0)));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 * (1.0d0 + ((1.5d0 + (cos(x) * (t_0 - 0.5d0))) - t_0)))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 * (1.0 + ((1.5 + (Math.cos(x) * (t_0 - 0.5))) - t_0)));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 * (1.0 + ((1.5 + (math.cos(x) * (t_0 - 0.5))) - t_0)))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(1.5 + Float64(cos(x) * Float64(t_0 - 0.5))) - t_0)))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * (1.0 + ((1.5 + (cos(x) * (t_0 - 0.5))) - t_0))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(1.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(1 + \left(\left(1.5 + \cos x \cdot \left(t\_0 - 0.5\right)\right) - t\_0\right)\right)}
\end{array}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in x around 0 40.2%
Taylor expanded in x around inf 40.2%
Final simplification40.2%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
-0.0625
(* (* (sqrt 2.0) (- 1.0 (cos y))) (- 0.5 (/ (cos (* 2.0 y)) 2.0)))))
6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((sqrt(2.0) * (1.0 - cos(y))) * (0.5 - (cos((2.0 * y)) / 2.0))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (0.5d0 - (cos((2.0d0 * y)) / 2.0d0))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * (0.5 - (Math.cos((2.0 * y)) / 2.0))))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * ((math.sqrt(2.0) * (1.0 - math.cos(y))) * (0.5 - (math.cos((2.0 * y)) / 2.0))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (1.0 - cos(y))) * (0.5 - (cos((2.0 * y)) / 2.0))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in x around 0 40.2%
Taylor expanded in x around 0 37.5%
unpow237.5%
sin-mult37.5%
Applied egg-rr37.5%
div-sub37.5%
+-inverses37.5%
cos-037.5%
metadata-eval37.5%
count-237.5%
*-commutative37.5%
Simplified37.5%
Final simplification37.5%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
-0.0625
(*
(pow y 4.0)
(* (sqrt 2.0) (+ 0.5 (* -0.20833333333333334 (pow y 2.0)))))))
6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * (pow(y, 4.0) * (sqrt(2.0) * (0.5 + (-0.20833333333333334 * pow(y, 2.0))))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((y ** 4.0d0) * (sqrt(2.0d0) * (0.5d0 + ((-0.20833333333333334d0) * (y ** 2.0d0))))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * (Math.pow(y, 4.0) * (Math.sqrt(2.0) * (0.5 + (-0.20833333333333334 * Math.pow(y, 2.0))))))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * (math.pow(y, 4.0) * (math.sqrt(2.0) * (0.5 + (-0.20833333333333334 * math.pow(y, 2.0))))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64((y ^ 4.0) * Float64(sqrt(2.0) * Float64(0.5 + Float64(-0.20833333333333334 * (y ^ 2.0))))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((y ^ 4.0) * (sqrt(2.0) * (0.5 + (-0.20833333333333334 * (y ^ 2.0))))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[Power[y, 4.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 + N[(-0.20833333333333334 * N[Power[y, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left({y}^{4} \cdot \left(\sqrt{2} \cdot \left(0.5 + -0.20833333333333334 \cdot {y}^{2}\right)\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in x around 0 40.2%
Taylor expanded in x around 0 37.5%
Taylor expanded in y around 0 27.9%
*-commutative27.9%
*-commutative27.9%
distribute-rgt-out27.9%
associate-*l*27.9%
distribute-lft-out27.9%
metadata-eval27.9%
Simplified27.9%
Final simplification27.9%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (- 1.0 (cos y))) (pow y 2.0)))) 6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((sqrt(2.0) * (1.0 - cos(y))) * pow(y, 2.0)))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (1.0d0 - cos(y))) * (y ** 2.0d0)))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * Math.pow(y, 2.0)))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * ((math.sqrt(2.0) * (1.0 - math.cos(y))) * math.pow(y, 2.0)))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * (y ^ 2.0)))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (1.0 - cos(y))) * (y ^ 2.0)))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[y, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot {y}^{2}\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in x around 0 40.2%
Taylor expanded in x around 0 37.5%
Taylor expanded in y around 0 26.6%
Final simplification26.6%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* 0.5 (* (sqrt 2.0) (pow y 4.0))))) 6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * (0.5 * (sqrt(2.0) * pow(y, 4.0))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * (0.5d0 * (sqrt(2.0d0) * (y ** 4.0d0))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * (0.5 * (Math.sqrt(2.0) * Math.pow(y, 4.0))))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * (0.5 * (math.sqrt(2.0) * math.pow(y, 4.0))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(0.5 * Float64(sqrt(2.0) * (y ^ 4.0))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * (0.5 * (sqrt(2.0) * (y ^ 4.0))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(0.5 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(0.5 \cdot \left(\sqrt{2} \cdot {y}^{4}\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in y around 0 56.3%
associate--l+56.3%
fmm-def56.3%
metadata-eval56.3%
Simplified56.3%
Taylor expanded in x around 0 40.2%
Taylor expanded in x around 0 37.5%
Taylor expanded in y around 0 26.5%
Final simplification26.5%
herbie shell --seed 2024076
(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))))))