
(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 22 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
(fma
(* (cos x) 1.5)
(+ (sqrt 5.0) -1.0)
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
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 + fma((cos(x) * 1.5), (sqrt(5.0) + -1.0), (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
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 + fma(Float64(cos(x) * 1.5), Float64(sqrt(5.0) + -1.0), Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) 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[x], $MachinePrecision] * 1.5), $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \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 + \mathsf{fma}\left(\cos x \cdot 1.5, \sqrt{5} + -1, 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.4%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
associate-*r*99.5%
fma-define99.5%
sub-neg99.5%
metadata-eval99.5%
+-commutative99.5%
Applied egg-rr99.5%
Final simplification99.5%
(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
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
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 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
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(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) 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[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \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(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.4%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- (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 99.4%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Final simplification99.4%
(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 99.4%
associate-*l*99.4%
distribute-rgt-in99.4%
cos-neg99.4%
distribute-rgt-in99.4%
associate-+l+99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
def code(x, y): return (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
function tmp = code(x, y) tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.4%
Final simplification99.4%
(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 -0.0265) (not (<= x 0.0255)))
(/ (+ 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 <= -0.0265) || !(x <= 0.0255)) {
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 <= (-0.0265d0)) .or. (.not. (x <= 0.0255d0))) 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 <= -0.0265) || !(x <= 0.0255)) {
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 <= -0.0265) or not (x <= 0.0255): 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 <= -0.0265) || !(x <= 0.0255)) 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 <= -0.0265) || ~((x <= 0.0255))) 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, -0.0265], N[Not[LessEqual[x, 0.0255]], $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 -0.0265 \lor \neg \left(x \leq 0.0255\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 < -0.0264999999999999993 or 0.0254999999999999984 < x Initial program 99.0%
add-cube-cbrt99.0%
pow398.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 66.5%
*-commutative66.5%
Simplified66.5%
if -0.0264999999999999993 < x < 0.0254999999999999984Initial program 99.7%
add-cube-cbrt99.7%
pow399.7%
div-inv99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 99.0%
*-commutative99.0%
*-commutative99.0%
associate-*r*99.0%
*-commutative99.0%
distribute-lft-out99.0%
*-commutative99.0%
Simplified99.0%
Final simplification82.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -2.55e-5) (not (<= x 0.017)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) (* (cos y) (/ t_1 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -2.55e-5) || !(x <= 0.017)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * (t_1 / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * t_1))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -2.55e-5) || !(x <= 0.017)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * t_1))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -2.55e-5], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -2.55 \cdot 10^{-5} \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{t\_1}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\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(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t\_0 + \cos y \cdot t\_1\right)}\\
\end{array}
\end{array}
if x < -2.54999999999999998e-5 or 0.017000000000000001 < x Initial program 99.0%
add-cube-cbrt99.0%
pow398.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 66.8%
*-commutative66.8%
Simplified66.8%
if -2.54999999999999998e-5 < x < 0.017000000000000001Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 98.9%
Taylor expanded in x around 0 98.5%
distribute-lft-out98.5%
sub-neg98.5%
metadata-eval98.5%
Simplified98.5%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.0086) (not (<= x 0.017)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ x (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+
3.0
(+ (* 1.5 (* (cos x) t_0)) (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.0086) || !(x <= 0.017)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((x + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + ((1.5 * (cos(x) * t_0)) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.0086) || !(x <= 0.017)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(x + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_0)) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.0086], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.0086 \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_0\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\end{array}
\end{array}
if x < -0.0086 or 0.017000000000000001 < x Initial program 99.0%
add-cube-cbrt99.0%
pow398.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 66.5%
*-commutative66.5%
Simplified66.5%
if -0.0086 < x < 0.017000000000000001Initial program 99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 98.9%
associate-*r*98.9%
distribute-rgt-out98.9%
Simplified98.9%
Final simplification82.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))
(t_2 (+ (sin y) (* (sin x) -0.0625)))
(t_3 (+ (sqrt 5.0) -1.0)))
(if (<= x -2.05e-5)
(/
(fma (sqrt 2.0) (* t_2 (* (sin x) t_0)) 2.0)
(+ 3.0 (+ (* 1.5 (* (cos x) t_3)) t_1)))
(if (<= x 0.017)
(/
(fma
(sqrt 2.0)
(* t_2 (* (+ (sin x) (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ t_3 (* (cos y) (- 3.0 (sqrt 5.0)))))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0)
(+ 3.0 (fma (* (cos x) 1.5) t_3 t_1)))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double t_2 = sin(y) + (sin(x) * -0.0625);
double t_3 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -2.05e-5) {
tmp = fma(sqrt(2.0), (t_2 * (sin(x) * t_0)), 2.0) / (3.0 + ((1.5 * (cos(x) * t_3)) + t_1));
} else if (x <= 0.017) {
tmp = fma(sqrt(2.0), (t_2 * ((sin(x) + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_3 + (cos(y) * (3.0 - sqrt(5.0))))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma((cos(x) * 1.5), t_3, t_1));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) t_2 = Float64(sin(y) + Float64(sin(x) * -0.0625)) t_3 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -2.05e-5) tmp = Float64(fma(sqrt(2.0), Float64(t_2 * Float64(sin(x) * t_0)), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_3)) + t_1))); elseif (x <= 0.017) tmp = Float64(fma(sqrt(2.0), Float64(t_2 * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_3 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(Float64(cos(x) * 1.5), t_3, t_1))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -2.05e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * N[(N[Sin[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.017], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$3 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[x], $MachinePrecision] * 1.5), $MachinePrecision] * t$95$3 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
t_2 := \sin y + \sin x \cdot -0.0625\\
t_3 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -2.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_2 \cdot \left(\sin x \cdot t\_0\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_3\right) + t\_1\right)}\\
\mathbf{elif}\;x \leq 0.017:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_2 \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t\_3 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t\_0 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(\cos x \cdot 1.5, t\_3, t\_1\right)}\\
\end{array}
\end{array}
if x < -2.05000000000000002e-5Initial program 99.2%
Simplified99.0%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.2%
Taylor expanded in y around 0 65.0%
if -2.05000000000000002e-5 < x < 0.017000000000000001Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 98.9%
Taylor expanded in x around 0 98.5%
distribute-lft-out98.5%
sub-neg98.5%
metadata-eval98.5%
Simplified98.5%
if 0.017000000000000001 < x Initial program 98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
associate-*r*99.1%
fma-define99.1%
sub-neg99.1%
metadata-eval99.1%
+-commutative99.1%
Applied egg-rr99.1%
Taylor expanded in y around 0 63.9%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_3 (+ (cos x) -1.0)))
(if (<= x -1.25e-5)
(/
(fma (sqrt 2.0) (* -0.0625 (* t_3 (- 0.5 (/ (cos (* 2.0 x)) 2.0)))) 2.0)
(+ 3.0 (+ (* 1.5 t_2) (* 6.0 (/ (cos y) t_0)))))
(if (<= x 0.017)
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))
(- 1.0 (cos y))))
(* 3.0 (+ 1.0 (- (+ t_1 (* (cos y) (- 1.5 t_1))) 0.5))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_3 (pow (sin x) 2.0))) 2.0)
(+ 3.0 (fma 1.5 t_2 (/ (* (cos y) 6.0) t_0))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = sqrt(5.0) * 0.5;
double t_2 = cos(x) * (sqrt(5.0) + -1.0);
double t_3 = cos(x) + -1.0;
double tmp;
if (x <= -1.25e-5) {
tmp = fma(sqrt(2.0), (-0.0625 * (t_3 * (0.5 - (cos((2.0 * x)) / 2.0)))), 2.0) / (3.0 + ((1.5 * t_2) + (6.0 * (cos(y) / t_0))));
} else if (x <= 0.017) {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((t_1 + (cos(y) * (1.5 - t_1))) - 0.5)));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_3 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma(1.5, t_2, ((cos(y) * 6.0) / t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_3 = Float64(cos(x) + -1.0) tmp = 0.0 if (x <= -1.25e-5) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_3 * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_2) + Float64(6.0 * Float64(cos(y) / t_0))))); elseif (x <= 0.017) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(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(1.0 + Float64(Float64(t_1 + Float64(cos(y) * Float64(1.5 - t_1))) - 0.5)))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_3 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(1.5, t_2, Float64(Float64(cos(y) * 6.0) / t_0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -1.25e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$3 * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$2), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.017], N[(N[(2.0 + N[(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] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$3 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * t$95$2 + N[(N[(N[Cos[y], $MachinePrecision] * 6.0), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_3 := \cos x + -1\\
\mathbf{if}\;x \leq -1.25 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t\_3 \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right), 2\right)}{3 + \left(1.5 \cdot t\_2 + 6 \cdot \frac{\cos y}{t\_0}\right)}\\
\mathbf{elif}\;x \leq 0.017:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(1 - \cos y\right)}{3 \cdot \left(1 + \left(\left(t\_1 + \cos y \cdot \left(1.5 - t\_1\right)\right) - 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t\_3 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(1.5, t\_2, \frac{\cos y \cdot 6}{t\_0}\right)}\\
\end{array}
\end{array}
if x < -1.25000000000000006e-5Initial program 99.2%
Simplified99.0%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.2%
Taylor expanded in y around 0 64.9%
unpow221.5%
sin-mult21.5%
Applied egg-rr64.9%
div-sub21.5%
+-inverses21.5%
cos-021.5%
metadata-eval21.5%
count-221.5%
*-commutative21.5%
Simplified64.9%
if -1.25000000000000006e-5 < x < 0.017000000000000001Initial program 99.7%
associate-*l*99.7%
distribute-rgt-in99.8%
cos-neg99.8%
distribute-rgt-in99.7%
associate-+l+99.7%
Simplified99.7%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.4%
if 0.017000000000000001 < x Initial program 98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 63.8%
*-un-lft-identity63.8%
fma-define63.9%
sub-neg63.9%
metadata-eval63.9%
+-commutative63.9%
Applied egg-rr63.9%
*-lft-identity63.9%
metadata-eval63.9%
sub-neg63.9%
*-commutative63.9%
sub-neg63.9%
metadata-eval63.9%
associate-*r/63.9%
Simplified63.9%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (+ (cos x) -1.0))
(t_3 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))
(if (<= x -1.22e-5)
(/
(fma (sqrt 2.0) (* -0.0625 (* t_2 (- 0.5 (/ (cos (* 2.0 x)) 2.0)))) 2.0)
(+ 3.0 (+ (* 1.5 (* (cos x) t_1)) t_3)))
(if (<= x 0.017)
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))
(- 1.0 (cos y))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_2 (pow (sin x) 2.0))) 2.0)
(+ 3.0 (fma (* (cos x) 1.5) t_1 t_3)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) + -1.0;
double t_3 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double tmp;
if (x <= -1.22e-5) {
tmp = fma(sqrt(2.0), (-0.0625 * (t_2 * (0.5 - (cos((2.0 * x)) / 2.0)))), 2.0) / (3.0 + ((1.5 * (cos(x) * t_1)) + t_3));
} else if (x <= 0.017) {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5)));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_2 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma((cos(x) * 1.5), t_1, t_3));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) + -1.0) t_3 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) tmp = 0.0 if (x <= -1.22e-5) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_2 * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_1)) + t_3))); elseif (x <= 0.017) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(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(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_2 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(Float64(cos(x) * 1.5), t_1, t_3))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.22e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$2 * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.017], N[(N[(2.0 + N[(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] * N[(1.0 - N[Cos[y], $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[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$2 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[x], $MachinePrecision] * 1.5), $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x + -1\\
t_3 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
\mathbf{if}\;x \leq -1.22 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t\_2 \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_1\right) + t\_3\right)}\\
\mathbf{elif}\;x \leq 0.017:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(1 - \cos y\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{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t\_2 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(\cos x \cdot 1.5, t\_1, t\_3\right)}\\
\end{array}
\end{array}
if x < -1.22000000000000001e-5Initial program 99.2%
Simplified99.0%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.2%
Taylor expanded in y around 0 64.9%
unpow221.5%
sin-mult21.5%
Applied egg-rr64.9%
div-sub21.5%
+-inverses21.5%
cos-021.5%
metadata-eval21.5%
count-221.5%
*-commutative21.5%
Simplified64.9%
if -1.22000000000000001e-5 < x < 0.017000000000000001Initial program 99.7%
associate-*l*99.7%
distribute-rgt-in99.8%
cos-neg99.8%
distribute-rgt-in99.7%
associate-+l+99.7%
Simplified99.7%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.4%
if 0.017000000000000001 < x Initial program 98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
associate-*r*99.1%
fma-define99.1%
sub-neg99.1%
metadata-eval99.1%
+-commutative99.1%
Applied egg-rr99.1%
Taylor expanded in y around 0 63.9%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))
(if (<= x -1.15e-5)
(/
(fma (sqrt 2.0) (* (+ (sin y) (* (sin x) -0.0625)) (* (sin x) t_0)) 2.0)
(+ 3.0 (+ (* 1.5 (* (cos x) t_2)) t_3)))
(if (<= x 0.017)
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))
(- 1.0 (cos y))))
(* 3.0 (+ 1.0 (- (+ t_1 (* (cos y) (- 1.5 t_1))) 0.5))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0)
(+ 3.0 (fma (* (cos x) 1.5) t_2 t_3)))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) * 0.5;
double t_2 = sqrt(5.0) + -1.0;
double t_3 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double tmp;
if (x <= -1.15e-5) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * (sin(x) * t_0)), 2.0) / (3.0 + ((1.5 * (cos(x) * t_2)) + t_3));
} else if (x <= 0.017) {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (1.0 - cos(y)))) / (3.0 * (1.0 + ((t_1 + (cos(y) * (1.5 - t_1))) - 0.5)));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma((cos(x) * 1.5), t_2, t_3));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) tmp = 0.0 if (x <= -1.15e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(sin(x) * t_0)), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_2)) + t_3))); elseif (x <= 0.017) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(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(1.0 + Float64(Float64(t_1 + Float64(cos(y) * Float64(1.5 - t_1))) - 0.5)))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(Float64(cos(x) * 1.5), t_2, t_3))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.15e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.017], N[(N[(2.0 + N[(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] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[x], $MachinePrecision] * 1.5), $MachinePrecision] * t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \sqrt{5} + -1\\
t_3 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
\mathbf{if}\;x \leq -1.15 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\sin x \cdot t\_0\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_2\right) + t\_3\right)}\\
\mathbf{elif}\;x \leq 0.017:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(1 - \cos y\right)}{3 \cdot \left(1 + \left(\left(t\_1 + \cos y \cdot \left(1.5 - t\_1\right)\right) - 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t\_0 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(\cos x \cdot 1.5, t\_2, t\_3\right)}\\
\end{array}
\end{array}
if x < -1.15e-5Initial program 99.2%
Simplified99.0%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.2%
Taylor expanded in y around 0 65.0%
if -1.15e-5 < x < 0.017000000000000001Initial program 99.7%
associate-*l*99.7%
distribute-rgt-in99.8%
cos-neg99.8%
distribute-rgt-in99.7%
associate-+l+99.7%
Simplified99.7%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.4%
if 0.017000000000000001 < x Initial program 98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
associate-*r*99.1%
fma-define99.1%
sub-neg99.1%
metadata-eval99.1%
+-commutative99.1%
Applied egg-rr99.1%
Taylor expanded in y around 0 63.9%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -4.5e-6) (not (<= x 0.017)))
(/
(fma
(sqrt 2.0)
(* -0.0625 (* (+ (cos x) -1.0) (- 0.5 (/ (cos (* 2.0 x)) 2.0))))
2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))))
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))
(- 1.0 (cos y))))
(* 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 <= -4.5e-6) || !(x <= 0.017)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * (0.5 - (cos((2.0 * x)) / 2.0)))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
} else {
tmp = (2.0 + ((sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))) * (1.0 - cos(y)))) / (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 <= -4.5e-6) || !(x <= 0.017)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(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(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, -4.5e-6], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(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] * N[(1.0 - N[Cos[y], $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 -4.5 \cdot 10^{-6} \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right) \cdot \left(1 - \cos y\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 < -4.50000000000000011e-6 or 0.017000000000000001 < x Initial program 99.0%
Simplified99.0%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 64.3%
unpow221.4%
sin-mult21.4%
Applied egg-rr64.3%
div-sub21.4%
+-inverses21.4%
cos-021.4%
metadata-eval21.4%
count-221.4%
*-commutative21.4%
Simplified64.3%
if -4.50000000000000011e-6 < x < 0.017000000000000001Initial program 99.7%
associate-*l*99.7%
distribute-rgt-in99.8%
cos-neg99.8%
distribute-rgt-in99.7%
associate-+l+99.7%
Simplified99.7%
Taylor expanded in x around 0 98.8%
Taylor expanded in x around 0 98.4%
Final simplification81.2%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
(if (or (<= x -0.00055) (not (<= x 0.017)))
(/
(fma
(sqrt 2.0)
(* -0.0625 (* (+ (cos x) -1.0) (- 0.5 (/ (cos (* 2.0 x)) 2.0))))
2.0)
t_0)
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0)))));
double tmp;
if ((x <= -0.00055) || !(x <= 0.017)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * (0.5 - (cos((2.0 * x)) / 2.0)))), 2.0) / t_0;
} else {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))))) tmp = 0.0 if ((x <= -0.00055) || !(x <= 0.017)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0)))), 2.0) / t_0); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00055], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)\\
\mathbf{if}\;x \leq -0.00055 \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right), 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{t\_0}\\
\end{array}
\end{array}
if x < -5.50000000000000033e-4 or 0.017000000000000001 < x Initial program 99.0%
Simplified99.0%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 64.1%
unpow221.0%
sin-mult21.0%
Applied egg-rr64.1%
div-sub21.0%
+-inverses21.0%
cos-021.0%
metadata-eval21.0%
count-221.0%
*-commutative21.0%
Simplified64.1%
if -5.50000000000000033e-4 < x < 0.017000000000000001Initial program 99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 97.4%
Final simplification80.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.00076) (not (<= x 0.017)))
(/
(fma
(sqrt 2.0)
(* -0.0625 (* (+ (cos x) -1.0) (- 0.5 (/ (cos (* 2.0 x)) 2.0))))
2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))))
(/
(+ 2.0 (* (- 1.0 (cos y)) (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 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;
double tmp;
if ((x <= -0.00076) || !(x <= 0.017)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * (0.5 - (cos((2.0 * x)) / 2.0)))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
} else {
tmp = (2.0 + ((1.0 - cos(y)) * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.00076) || !(x <= 0.017)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (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)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00076], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * 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]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.00076 \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \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)}\\
\end{array}
\end{array}
if x < -7.6000000000000004e-4 or 0.017000000000000001 < x Initial program 99.0%
Simplified99.0%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 64.1%
unpow221.0%
sin-mult21.0%
Applied egg-rr64.1%
div-sub21.0%
+-inverses21.0%
cos-021.0%
metadata-eval21.0%
count-221.0%
*-commutative21.0%
Simplified64.1%
if -7.6000000000000004e-4 < x < 0.017000000000000001Initial program 99.7%
associate-*l*99.7%
distribute-rgt-in99.8%
cos-neg99.8%
distribute-rgt-in99.7%
associate-+l+99.7%
Simplified99.7%
Taylor expanded in x around 0 97.4%
Taylor expanded in x around 0 97.4%
Final simplification80.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -7.6e-7) (not (<= y 9.2e-10)))
(/
(+ 2.0 (* (- 1.0 (cos y)) (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ 1.0 (+ 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -7.6e-7) || !(y <= 9.2e-10)) {
tmp = (2.0 + ((1.0 - cos(y)) * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (1.0 / (3.0 + sqrt(5.0))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -7.6e-7) || !(y <= 9.2e-10)) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (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(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(1.0 / Float64(3.0 + sqrt(5.0))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[y, -7.6e-7], N[Not[LessEqual[y, 9.2e-10]], $MachinePrecision]], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * 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[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(1.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -7.6 \cdot 10^{-7} \lor \neg \left(y \leq 9.2 \cdot 10^{-10}\right):\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \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{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{1}{3 + \sqrt{5}}\right)}\\
\end{array}
\end{array}
if y < -7.60000000000000029e-7 or 9.20000000000000028e-10 < y Initial program 99.1%
associate-*l*99.1%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 59.8%
Taylor expanded in x around 0 59.8%
if -7.60000000000000029e-7 < y < 9.20000000000000028e-10Initial program 99.6%
Simplified99.5%
flip--99.4%
metadata-eval99.4%
pow1/299.4%
pow1/299.4%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
Taylor expanded in y around 0 99.5%
Taylor expanded in y around 0 99.5%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -2.9e-6) (not (<= x 2.2e-6)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ 1.0 (+ 3.0 (sqrt 5.0)))))))
(/
(+
2.0
(* (- (cos x) (cos y)) (* -0.0625 (* (sqrt 2.0) (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 <= -2.9e-6) || !(x <= 2.2e-6)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (1.0 / (3.0 + sqrt(5.0))))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (-0.0625 * (sqrt(2.0) * 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 <= -2.9e-6) || !(x <= 2.2e-6)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(1.0 / Float64(3.0 + sqrt(5.0))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (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, -2.9e-6], N[Not[LessEqual[x, 2.2e-6]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(1.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * 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 -2.9 \cdot 10^{-6} \lor \neg \left(x \leq 2.2 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{1}{3 + \sqrt{5}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \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 < -2.9000000000000002e-6 or 2.2000000000000001e-6 < x Initial program 99.1%
Simplified99.0%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 64.0%
Taylor expanded in y around 0 63.0%
if -2.9000000000000002e-6 < x < 2.2000000000000001e-6Initial program 99.7%
associate-*l*99.7%
distribute-rgt-in99.8%
cos-neg99.8%
distribute-rgt-in99.7%
associate-+l+99.7%
Simplified99.7%
Taylor expanded in x around 0 98.4%
Taylor expanded in x around 0 98.4%
Final simplification80.2%
(FPCore (x y)
:precision binary64
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ 1.0 (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (1.0 / (3.0 + sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(1.0 / Float64(3.0 + sqrt(5.0))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(1.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{1}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.4%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Taylor expanded in y around 0 65.7%
Taylor expanded in y around 0 63.6%
Final simplification63.6%
(FPCore (x y) :precision binary64 (/ (fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0) (+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (+ -1.5 (* 1.5 (sqrt 5.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (-1.5 + (1.5 * sqrt(5.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(-1.5 + Float64(1.5 * sqrt(5.0)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1.5 + N[(1.5 * N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + \left(-1.5 + 1.5 \cdot \sqrt{5}\right)\right)}
\end{array}
Initial program 99.4%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Taylor expanded in y around 0 65.7%
Taylor expanded in x around 0 44.1%
sub-neg44.1%
metadata-eval44.1%
+-commutative44.1%
distribute-lft-in44.1%
metadata-eval44.1%
Simplified44.1%
Final simplification44.1%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* (* (- 0.5 (/ (cos (* 2.0 x)) 2.0)) (* (sqrt 2.0) (+ (cos x) -1.0))) -0.010416666666666666)))
double code(double x, double y) {
return 0.3333333333333333 + (((0.5 - (cos((2.0 * x)) / 2.0)) * (sqrt(2.0) * (cos(x) + -1.0))) * -0.010416666666666666);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + (((0.5d0 - (cos((2.0d0 * x)) / 2.0d0)) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))) * (-0.010416666666666666d0))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + (((0.5 - (Math.cos((2.0 * x)) / 2.0)) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))) * -0.010416666666666666);
}
def code(x, y): return 0.3333333333333333 + (((0.5 - (math.cos((2.0 * x)) / 2.0)) * (math.sqrt(2.0) * (math.cos(x) + -1.0))) * -0.010416666666666666)
function code(x, y) return Float64(0.3333333333333333 + Float64(Float64(Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0)) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))) * -0.010416666666666666)) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (((0.5 - (cos((2.0 * x)) / 2.0)) * (sqrt(2.0) * (cos(x) + -1.0))) * -0.010416666666666666); end
code[x_, y_] := N[(0.3333333333333333 + N[(N[(N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -0.010416666666666666), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + \left(\left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right) \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right) \cdot -0.010416666666666666
\end{array}
Initial program 99.4%
Simplified99.3%
Taylor expanded in y around 0 63.6%
distribute-lft-out63.6%
sub-neg63.6%
metadata-eval63.6%
Simplified63.6%
Taylor expanded in x around 0 42.1%
Taylor expanded in y around 0 42.3%
distribute-rgt-in42.3%
metadata-eval42.3%
*-commutative42.3%
associate-*l*42.3%
*-commutative42.3%
sub-neg42.3%
metadata-eval42.3%
metadata-eval42.3%
Simplified42.3%
unpow242.3%
sin-mult42.3%
Applied egg-rr42.3%
div-sub42.3%
+-inverses42.3%
cos-042.3%
metadata-eval42.3%
count-242.3%
*-commutative42.3%
Simplified42.3%
Final simplification42.3%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* -0.010416666666666666 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow x 2.0)))))
double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(x, 2.0)));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + ((-0.010416666666666666d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (x ** 2.0d0)))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * Math.pow(x, 2.0)));
}
def code(x, y): return 0.3333333333333333 + (-0.010416666666666666 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * math.pow(x, 2.0)))
function code(x, y) return Float64(0.3333333333333333 + Float64(-0.010416666666666666 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (x ^ 2.0)))) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (-0.010416666666666666 * ((sqrt(2.0) * (cos(x) + -1.0)) * (x ^ 2.0))); end
code[x_, y_] := N[(0.3333333333333333 + N[(-0.010416666666666666 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[x, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + -0.010416666666666666 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {x}^{2}\right)
\end{array}
Initial program 99.4%
Simplified99.3%
Taylor expanded in y around 0 63.6%
distribute-lft-out63.6%
sub-neg63.6%
metadata-eval63.6%
Simplified63.6%
Taylor expanded in x around 0 42.1%
Taylor expanded in y around 0 42.3%
distribute-rgt-in42.3%
metadata-eval42.3%
*-commutative42.3%
associate-*l*42.3%
*-commutative42.3%
sub-neg42.3%
metadata-eval42.3%
metadata-eval42.3%
Simplified42.3%
Taylor expanded in x around 0 33.9%
Final simplification33.9%
(FPCore (x y) :precision binary64 (+ 0.3333333333333333 (* -0.010416666666666666 (* -0.5 (* (sqrt 2.0) (pow x 4.0))))))
double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * (-0.5 * (sqrt(2.0) * pow(x, 4.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 + ((-0.010416666666666666d0) * ((-0.5d0) * (sqrt(2.0d0) * (x ** 4.0d0))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 + (-0.010416666666666666 * (-0.5 * (Math.sqrt(2.0) * Math.pow(x, 4.0))));
}
def code(x, y): return 0.3333333333333333 + (-0.010416666666666666 * (-0.5 * (math.sqrt(2.0) * math.pow(x, 4.0))))
function code(x, y) return Float64(0.3333333333333333 + Float64(-0.010416666666666666 * Float64(-0.5 * Float64(sqrt(2.0) * (x ^ 4.0))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 + (-0.010416666666666666 * (-0.5 * (sqrt(2.0) * (x ^ 4.0)))); end
code[x_, y_] := N[(0.3333333333333333 + N[(-0.010416666666666666 * N[(-0.5 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 + -0.010416666666666666 \cdot \left(-0.5 \cdot \left(\sqrt{2} \cdot {x}^{4}\right)\right)
\end{array}
Initial program 99.4%
Simplified99.3%
Taylor expanded in y around 0 63.6%
distribute-lft-out63.6%
sub-neg63.6%
metadata-eval63.6%
Simplified63.6%
Taylor expanded in x around 0 42.1%
Taylor expanded in y around 0 42.3%
distribute-rgt-in42.3%
metadata-eval42.3%
*-commutative42.3%
associate-*l*42.3%
*-commutative42.3%
sub-neg42.3%
metadata-eval42.3%
metadata-eval42.3%
Simplified42.3%
Taylor expanded in x around 0 33.6%
Final simplification33.6%
herbie shell --seed 2024054
(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))))))