
(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 y)
(* (/ 4.0 (+ 3.0 (sqrt 5.0))) 1.5)
(* (cos x) (/ -9.0 (+ -1.5 (* (sqrt 5.0) -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 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) * 1.5), (cos(x) * (-9.0 / (-1.5 + (sqrt(5.0) * -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 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) * 1.5), Float64(cos(x) * Float64(-9.0 / Float64(-1.5 + Float64(sqrt(5.0) * -1.5))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -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[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(-9.0 / N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * -1.5), $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 y, \frac{4}{3 + \sqrt{5}} \cdot 1.5, \cos x \cdot \frac{-9}{-1.5 + \sqrt{5} \cdot -1.5}\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
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%
Taylor expanded in x around inf 99.4%
*-commutative99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
+-commutative99.4%
distribute-rgt-in99.4%
metadata-eval99.4%
Simplified99.4%
flip-+99.2%
metadata-eval99.2%
pow299.2%
Applied egg-rr99.2%
unpow299.2%
swap-sqr99.2%
rem-square-sqrt99.5%
metadata-eval99.5%
metadata-eval99.5%
metadata-eval99.5%
sub-neg99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
Simplified99.5%
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
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (- (* (sqrt 5.0) 1.5) 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 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * ((sqrt(5.0) * 1.5) - 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(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(Float64(sqrt(5.0) * 1.5) - 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[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $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(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} \cdot 1.5 - 1.5\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
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%
Taylor expanded in x around inf 99.4%
*-commutative99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
+-commutative99.4%
distribute-rgt-in99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(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)))
(* 1.5 (* (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))) + (1.5 * (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(1.5 * 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[(1.5 * 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) + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right)\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
Taylor expanded in y around inf 99.3%
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) (/ (/ 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 99.3%
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-rr99.3%
+-commutative99.4%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(* (- (sin x) (* (sin y) 0.0625)) (- (sin y) (* (sin x) 0.0625))))))
(*
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 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (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 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625d0)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (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.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * ((Math.sin(x) - (Math.sin(y) * 0.0625)) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (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.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * ((math.sin(x) - (math.sin(y) * 0.0625)) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (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(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) - Float64(sin(y) * 0.0625)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / 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 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (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[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $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 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\left(\sin x - \sin y \cdot 0.0625\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.01) (not (<= x 6.2e-8)))
(/
(+
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) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+
3.0
(+ (* 1.5 (* (cos x) t_0)) (* 1.5 (* (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 <= -0.01) || !(x <= 6.2e-8)) {
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) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((1.5 * (cos(x) * t_0)) + (1.5 * (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 <= -0.01) || !(x <= 6.2e-8)) 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(4.0 / 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(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_0)) + Float64(1.5 * 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, -0.01], N[Not[LessEqual[x, 6.2e-8]], $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[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $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[(1.5 * 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 -0.01 \lor \neg \left(x \leq 6.2 \cdot 10^{-8}\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{\frac{4}{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(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_0\right) + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.0100000000000000002 or 6.2e-8 < x Initial program 98.9%
Taylor expanded in y around 0 58.9%
*-commutative58.9%
Simplified58.9%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr58.9%
+-commutative99.0%
Simplified58.9%
if -0.0100000000000000002 < x < 6.2e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.7%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (+ (sin y) (* (sin x) -0.0625)))
(t_2 (- 3.0 (sqrt 5.0))))
(if (or (<= x -0.0064) (not (<= x 6.2e-8)))
(/
(+ 2.0 (* (sqrt 2.0) (* (sin x) (* t_1 (- (cos x) (cos y))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) (* (cos y) (/ t_2 2.0)))))
(/
(fma
(sqrt 2.0)
(* t_1 (* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (+ (* 1.5 (* (cos x) t_0)) (* 1.5 (* (cos y) t_2))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sin(y) + (sin(x) * -0.0625);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -0.0064) || !(x <= 6.2e-8)) {
tmp = (2.0 + (sqrt(2.0) * (sin(x) * (t_1 * (cos(x) - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * (t_2 / 2.0))));
} else {
tmp = fma(sqrt(2.0), (t_1 * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((1.5 * (cos(x) * t_0)) + (1.5 * (cos(y) * t_2))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sin(y) + Float64(sin(x) * -0.0625)) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -0.0064) || !(x <= 6.2e-8)) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(sin(x) * Float64(t_1 * Float64(cos(x) - cos(y)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(t_2 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(t_1 * Float64(Float64(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_0)) + Float64(1.5 * Float64(cos(y) * t_2))))); 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[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0064], N[Not[LessEqual[x, 6.2e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $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$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $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[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \sin y + \sin x \cdot -0.0625\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.0064 \lor \neg \left(x \leq 6.2 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\sin x \cdot \left(t\_1 \cdot \left(\cos x - \cos y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{t\_2}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_1 \cdot \left(\left(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_0\right) + 1.5 \cdot \left(\cos y \cdot t\_2\right)\right)}\\
\end{array}
\end{array}
if x < -0.00640000000000000031 or 6.2e-8 < x Initial program 98.9%
Taylor expanded in y around 0 58.9%
*-commutative58.9%
Simplified58.9%
Taylor expanded in x around inf 58.9%
*-commutative58.9%
*-commutative58.9%
*-commutative58.9%
associate-*l*58.9%
*-commutative58.9%
*-commutative58.9%
*-commutative58.9%
cancel-sign-sub-inv58.9%
metadata-eval58.9%
Simplified58.9%
if -0.00640000000000000031 < x < 6.2e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.7%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sin y) (* (sin x) -0.0625))) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -3.8e-5) (not (<= x 6.2e-8)))
(/
(+ 2.0 (* (sqrt 2.0) (* (sin x) (* t_0 (- (cos x) (cos y))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ t_1 2.0)))))
(/
(fma
(sqrt 2.0)
(* t_0 (* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (fma (cos y) (* 1.5 t_1) (+ -1.5 (* (sqrt 5.0) 1.5))))))))
double code(double x, double y) {
double t_0 = sin(y) + (sin(x) * -0.0625);
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -3.8e-5) || !(x <= 6.2e-8)) {
tmp = (2.0 + (sqrt(2.0) * (sin(x) * (t_0 * (cos(x) - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * (t_1 / 2.0))));
} else {
tmp = fma(sqrt(2.0), (t_0 * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + fma(cos(y), (1.5 * t_1), (-1.5 + (sqrt(5.0) * 1.5))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sin(y) + Float64(sin(x) * -0.0625)) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -3.8e-5) || !(x <= 6.2e-8)) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(sin(x) * Float64(t_0 * Float64(cos(x) - 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(t_1 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(t_0 * Float64(Float64(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(1.5 * t_1), Float64(-1.5 + Float64(sqrt(5.0) * 1.5))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -3.8e-5], N[Not[LessEqual[x, 6.2e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $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[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$0 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 * t$95$1), $MachinePrecision] + N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y + \sin x \cdot -0.0625\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3.8 \cdot 10^{-5} \lor \neg \left(x \leq 6.2 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\sin x \cdot \left(t\_0 \cdot \left(\cos x - \cos y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{t\_1}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_0 \cdot \left(\left(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, 1.5 \cdot t\_1, -1.5 + \sqrt{5} \cdot 1.5\right)}\\
\end{array}
\end{array}
if x < -3.8000000000000002e-5 or 6.2e-8 < x Initial program 98.9%
Taylor expanded in y around 0 59.3%
*-commutative59.3%
Simplified59.3%
Taylor expanded in x around inf 59.3%
*-commutative59.3%
*-commutative59.3%
*-commutative59.3%
associate-*l*59.3%
*-commutative59.3%
*-commutative59.3%
*-commutative59.3%
cancel-sign-sub-inv59.3%
metadata-eval59.3%
Simplified59.3%
if -3.8000000000000002e-5 < x < 6.2e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in x around 0 99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
distribute-rgt-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.6%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (<= x -0.000102)
(/
(+ 2.0 (* (* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x))) t_0))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ t_1 2.0)))))
(if (<= x 6.2e-8)
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (fma (cos y) (* 1.5 t_1) (+ -1.5 (* (sqrt 5.0) 1.5)))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0)
(+
3.0
(fma
(cos y)
(* (/ 4.0 (+ 3.0 (sqrt 5.0))) 1.5)
(* (cos x) (/ -9.0 (+ -1.5 (* (sqrt 5.0) -1.5)))))))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.000102) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))) * t_0)) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * (t_1 / 2.0))));
} else if (x <= 6.2e-8) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + fma(cos(y), (1.5 * t_1), (-1.5 + (sqrt(5.0) * 1.5))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) * 1.5), (cos(x) * (-9.0 / (-1.5 + (sqrt(5.0) * -1.5))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.000102) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))) * t_0)) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0))))); elseif (x <= 6.2e-8) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(1.5 * t_1), Float64(-1.5 + Float64(sqrt(5.0) * 1.5))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) * 1.5), Float64(cos(x) * Float64(-9.0 / Float64(-1.5 + Float64(sqrt(5.0) * -1.5))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.000102], 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[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $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[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.2e-8], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 * t$95$1), $MachinePrecision] + N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $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[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(-9.0 / N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.000102:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot t\_0}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{t\_1}{2}\right)}\\
\mathbf{elif}\;x \leq 6.2 \cdot 10^{-8}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, 1.5 \cdot t\_1, -1.5 + \sqrt{5} \cdot 1.5\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 y, \frac{4}{3 + \sqrt{5}} \cdot 1.5, \cos x \cdot \frac{-9}{-1.5 + \sqrt{5} \cdot -1.5}\right)}\\
\end{array}
\end{array}
if x < -1.01999999999999999e-4Initial program 98.9%
Taylor expanded in y around 0 61.1%
*-commutative61.1%
Simplified61.1%
Taylor expanded in y around 0 58.0%
if -1.01999999999999999e-4 < x < 6.2e-8Initial program 99.6%
Simplified99.7%
Taylor expanded in x around 0 99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
distribute-rgt-in99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.6%
if 6.2e-8 < x Initial program 98.8%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in x around inf 99.0%
*-commutative99.0%
associate-*r*99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
+-commutative99.0%
distribute-rgt-in99.0%
metadata-eval99.0%
Simplified99.0%
flip-+98.6%
metadata-eval98.6%
pow298.6%
Applied egg-rr98.6%
unpow298.6%
swap-sqr98.6%
rem-square-sqrt99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
sub-neg99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
Simplified99.1%
Taylor expanded in y around 0 53.3%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_1 (pow (sin y) 2.0))
(t_2 (* -0.0625 (- 1.0 (cos y)))))
(if (<= y -9.5e-7)
(/
(fma (sqrt 2.0) (* t_1 t_2) 2.0)
(+
3.0
(fma
(cos y)
(* (/ 4.0 (+ 3.0 (sqrt 5.0))) 1.5)
(* (cos x) (/ -9.0 (+ -1.5 (* (sqrt 5.0) -1.5)))))))
(if (<= y 0.102)
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))
(+ (cos x) -1.0)))
t_0)
(/ (+ 2.0 (* t_1 (* (sqrt 2.0) t_2))) t_0)))))
double code(double x, double y) {
double t_0 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_1 = pow(sin(y), 2.0);
double t_2 = -0.0625 * (1.0 - cos(y));
double tmp;
if (y <= -9.5e-7) {
tmp = fma(sqrt(2.0), (t_1 * t_2), 2.0) / (3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) * 1.5), (cos(x) * (-9.0 / (-1.5 + (sqrt(5.0) * -1.5))))));
} else if (y <= 0.102) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))) * (cos(x) + -1.0))) / t_0;
} else {
tmp = (2.0 + (t_1 * (sqrt(2.0) * t_2))) / t_0;
}
return tmp;
}
function code(x, y) t_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)))) t_1 = sin(y) ^ 2.0 t_2 = Float64(-0.0625 * Float64(1.0 - cos(y))) tmp = 0.0 if (y <= -9.5e-7) tmp = Float64(fma(sqrt(2.0), Float64(t_1 * t_2), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) * 1.5), Float64(cos(x) * Float64(-9.0 / Float64(-1.5 + Float64(sqrt(5.0) * -1.5))))))); elseif (y <= 0.102) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))) * Float64(cos(x) + -1.0))) / t_0); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * t_2))) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = 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$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -9.5e-7], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(-9.0 / N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.102], 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[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_1 := {\sin y}^{2}\\
t_2 := -0.0625 \cdot \left(1 - \cos y\right)\\
\mathbf{if}\;y \leq -9.5 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_1 \cdot t\_2, 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}} \cdot 1.5, \cos x \cdot \frac{-9}{-1.5 + \sqrt{5} \cdot -1.5}\right)}\\
\mathbf{elif}\;y \leq 0.102:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot \left(\cos x + -1\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sqrt{2} \cdot t\_2\right)}{t\_0}\\
\end{array}
\end{array}
if y < -9.5000000000000001e-7Initial program 99.1%
Simplified99.3%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
*-commutative99.3%
associate-*r*99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
+-commutative99.3%
distribute-rgt-in99.3%
metadata-eval99.3%
Simplified99.3%
flip-+98.8%
metadata-eval98.8%
pow298.8%
Applied egg-rr98.8%
unpow298.8%
swap-sqr98.8%
rem-square-sqrt99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
sub-neg99.4%
distribute-rgt-neg-in99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around 0 64.2%
*-commutative64.2%
associate-*l*64.2%
*-commutative64.2%
Simplified64.2%
if -9.5000000000000001e-7 < y < 0.101999999999999993Initial program 99.5%
Taylor expanded in y around 0 98.5%
*-commutative98.5%
Simplified98.5%
Taylor expanded in y around 0 98.5%
if 0.101999999999999993 < y Initial program 99.1%
Taylor expanded in x around 0 61.4%
*-commutative61.4%
associate-*l*61.4%
associate-*r*61.4%
Simplified61.4%
Final simplification78.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (pow (sin y) 2.0))
(t_3 (* -0.0625 (- 1.0 (cos y))))
(t_4
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0))))))
(if (<= y -9.5e-7)
(/
(fma (sqrt 2.0) (* t_2 t_3) 2.0)
(+ 3.0 (+ (* 1.5 (* (cos x) t_1)) (* 1.5 (* (cos y) t_0)))))
(if (<= y 0.102)
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))
(+ (cos x) -1.0)))
t_4)
(/ (+ 2.0 (* t_2 (* (sqrt 2.0) t_3))) t_4)))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = pow(sin(y), 2.0);
double t_3 = -0.0625 * (1.0 - cos(y));
double t_4 = 3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0)));
double tmp;
if (y <= -9.5e-7) {
tmp = fma(sqrt(2.0), (t_2 * t_3), 2.0) / (3.0 + ((1.5 * (cos(x) * t_1)) + (1.5 * (cos(y) * t_0))));
} else if (y <= 0.102) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))) * (cos(x) + -1.0))) / t_4;
} else {
tmp = (2.0 + (t_2 * (sqrt(2.0) * t_3))) / t_4;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = sin(y) ^ 2.0 t_3 = Float64(-0.0625 * Float64(1.0 - cos(y))) t_4 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0)))) tmp = 0.0 if (y <= -9.5e-7) tmp = Float64(fma(sqrt(2.0), Float64(t_2 * t_3), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_1)) + Float64(1.5 * Float64(cos(y) * t_0))))); elseif (y <= 0.102) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))) * Float64(cos(x) + -1.0))) / t_4); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(sqrt(2.0) * t_3))) / t_4); 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] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -9.5e-7], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * t$95$3), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.102], 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[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := {\sin y}^{2}\\
t_3 := -0.0625 \cdot \left(1 - \cos y\right)\\
t_4 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)\\
\mathbf{if}\;y \leq -9.5 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_2 \cdot t\_3, 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_1\right) + 1.5 \cdot \left(\cos y \cdot t\_0\right)\right)}\\
\mathbf{elif}\;y \leq 0.102:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot \left(\cos x + -1\right)}{t\_4}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(\sqrt{2} \cdot t\_3\right)}{t\_4}\\
\end{array}
\end{array}
if y < -9.5000000000000001e-7Initial program 99.1%
Simplified99.3%
Taylor expanded in y around inf 99.3%
Taylor expanded in x around 0 64.2%
*-commutative64.2%
associate-*l*64.2%
*-commutative64.2%
Simplified64.2%
if -9.5000000000000001e-7 < y < 0.101999999999999993Initial program 99.5%
Taylor expanded in y around 0 98.5%
*-commutative98.5%
Simplified98.5%
Taylor expanded in y around 0 98.5%
if 0.101999999999999993 < y Initial program 99.1%
Taylor expanded in x around 0 61.4%
*-commutative61.4%
associate-*l*61.4%
associate-*r*61.4%
Simplified61.4%
Final simplification78.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* 1.5 (* (cos x) t_1)))
(t_3 (pow (sin y) 2.0))
(t_4 (* -0.0625 (- 1.0 (cos y)))))
(if (<= y -9.5e-7)
(/
(fma (sqrt 2.0) (* t_3 t_4) 2.0)
(+ 3.0 (+ t_2 (* 1.5 (* (cos y) t_0)))))
(if (<= y 0.102)
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ t_2 (* 1.5 t_0))))
(/
(+ 2.0 (* t_3 (* (sqrt 2.0) t_4)))
(*
3.0
(+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = 1.5 * (cos(x) * t_1);
double t_3 = pow(sin(y), 2.0);
double t_4 = -0.0625 * (1.0 - cos(y));
double tmp;
if (y <= -9.5e-7) {
tmp = fma(sqrt(2.0), (t_3 * t_4), 2.0) / (3.0 + (t_2 + (1.5 * (cos(y) * t_0))));
} else if (y <= 0.102) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (t_2 + (1.5 * t_0)));
} else {
tmp = (2.0 + (t_3 * (sqrt(2.0) * t_4))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(1.5 * Float64(cos(x) * t_1)) t_3 = sin(y) ^ 2.0 t_4 = Float64(-0.0625 * Float64(1.0 - cos(y))) tmp = 0.0 if (y <= -9.5e-7) tmp = Float64(fma(sqrt(2.0), Float64(t_3 * t_4), 2.0) / Float64(3.0 + Float64(t_2 + Float64(1.5 * Float64(cos(y) * t_0))))); elseif (y <= 0.102) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(t_2 + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(t_3 * Float64(sqrt(2.0) * t_4))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); 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] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -9.5e-7], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * t$95$4), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(t$95$2 + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.102], 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[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(t$95$2 + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := 1.5 \cdot \left(\cos x \cdot t\_1\right)\\
t_3 := {\sin y}^{2}\\
t_4 := -0.0625 \cdot \left(1 - \cos y\right)\\
\mathbf{if}\;y \leq -9.5 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_3 \cdot t\_4, 2\right)}{3 + \left(t\_2 + 1.5 \cdot \left(\cos y \cdot t\_0\right)\right)}\\
\mathbf{elif}\;y \leq 0.102:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(t\_2 + 1.5 \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_3 \cdot \left(\sqrt{2} \cdot t\_4\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\end{array}
\end{array}
if y < -9.5000000000000001e-7Initial program 99.1%
Simplified99.3%
Taylor expanded in y around inf 99.3%
Taylor expanded in x around 0 64.2%
*-commutative64.2%
associate-*l*64.2%
*-commutative64.2%
Simplified64.2%
if -9.5000000000000001e-7 < y < 0.101999999999999993Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 98.4%
Taylor expanded in y around 0 98.4%
+-commutative98.4%
sub-neg98.4%
metadata-eval98.4%
sub-neg98.4%
metadata-eval98.4%
associate-*r*98.4%
distribute-rgt-out98.4%
*-commutative98.4%
Simplified98.4%
if 0.101999999999999993 < y Initial program 99.1%
Taylor expanded in x around 0 61.4%
*-commutative61.4%
associate-*l*61.4%
associate-*r*61.4%
Simplified61.4%
Final simplification78.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* 1.5 (* (cos x) t_1)))
(t_3 (pow (sin y) 2.0))
(t_4 (* -0.0625 (- 1.0 (cos y)))))
(if (<= y -9.5e-7)
(/
(fma (sqrt 2.0) (* t_3 t_4) 2.0)
(+ 3.0 (+ t_2 (* 1.5 (* (cos y) t_0)))))
(if (<= y 0.102)
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* (sin x) -0.0625)) (* (sin x) (+ (cos x) -1.0)))
2.0)
(+ 3.0 (+ t_2 (* 1.5 t_0))))
(/
(+ 2.0 (* t_3 (* (sqrt 2.0) t_4)))
(*
3.0
(+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = 1.5 * (cos(x) * t_1);
double t_3 = pow(sin(y), 2.0);
double t_4 = -0.0625 * (1.0 - cos(y));
double tmp;
if (y <= -9.5e-7) {
tmp = fma(sqrt(2.0), (t_3 * t_4), 2.0) / (3.0 + (t_2 + (1.5 * (cos(y) * t_0))));
} else if (y <= 0.102) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * (sin(x) * (cos(x) + -1.0))), 2.0) / (3.0 + (t_2 + (1.5 * t_0)));
} else {
tmp = (2.0 + (t_3 * (sqrt(2.0) * t_4))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(1.5 * Float64(cos(x) * t_1)) t_3 = sin(y) ^ 2.0 t_4 = Float64(-0.0625 * Float64(1.0 - cos(y))) tmp = 0.0 if (y <= -9.5e-7) tmp = Float64(fma(sqrt(2.0), Float64(t_3 * t_4), 2.0) / Float64(3.0 + Float64(t_2 + Float64(1.5 * Float64(cos(y) * t_0))))); elseif (y <= 0.102) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(sin(x) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(t_2 + Float64(1.5 * t_0)))); else tmp = Float64(Float64(2.0 + Float64(t_3 * Float64(sqrt(2.0) * t_4))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); 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] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -9.5e-7], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * t$95$4), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(t$95$2 + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.102], 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] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(t$95$2 + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := 1.5 \cdot \left(\cos x \cdot t\_1\right)\\
t_3 := {\sin y}^{2}\\
t_4 := -0.0625 \cdot \left(1 - \cos y\right)\\
\mathbf{if}\;y \leq -9.5 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_3 \cdot t\_4, 2\right)}{3 + \left(t\_2 + 1.5 \cdot \left(\cos y \cdot t\_0\right)\right)}\\
\mathbf{elif}\;y \leq 0.102:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(t\_2 + 1.5 \cdot t\_0\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_3 \cdot \left(\sqrt{2} \cdot t\_4\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\end{array}
\end{array}
if y < -9.5000000000000001e-7Initial program 99.1%
Simplified99.3%
Taylor expanded in y around inf 99.3%
Taylor expanded in x around 0 64.2%
*-commutative64.2%
associate-*l*64.2%
*-commutative64.2%
Simplified64.2%
if -9.5000000000000001e-7 < y < 0.101999999999999993Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 98.4%
Taylor expanded in y around 0 98.3%
if 0.101999999999999993 < y Initial program 99.1%
Taylor expanded in x around 0 61.4%
*-commutative61.4%
associate-*l*61.4%
associate-*r*61.4%
Simplified61.4%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos x) t_1))
(t_3 (pow (sin y) 2.0))
(t_4 (* -0.0625 (- 1.0 (cos y)))))
(if (<= y -8.2e-7)
(/
(fma (sqrt 2.0) (* t_3 t_4) 2.0)
(+ 3.0 (+ (* 1.5 t_2) (* 1.5 (* (cos y) t_0)))))
(if (<= y 0.00105)
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (+ (* t_2 0.5) (* t_0 0.5)))))
(/
(+ 2.0 (* t_3 (* (sqrt 2.0) t_4)))
(*
3.0
(+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) * t_1;
double t_3 = pow(sin(y), 2.0);
double t_4 = -0.0625 * (1.0 - cos(y));
double tmp;
if (y <= -8.2e-7) {
tmp = fma(sqrt(2.0), (t_3 * t_4), 2.0) / (3.0 + ((1.5 * t_2) + (1.5 * (cos(y) * t_0))));
} else if (y <= 0.00105) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + ((t_2 * 0.5) + (t_0 * 0.5))));
} else {
tmp = (2.0 + (t_3 * (sqrt(2.0) * t_4))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) * t_1) t_3 = sin(y) ^ 2.0 t_4 = Float64(-0.0625 * Float64(1.0 - cos(y))) tmp = 0.0 if (y <= -8.2e-7) tmp = Float64(fma(sqrt(2.0), Float64(t_3 * t_4), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_2) + Float64(1.5 * Float64(cos(y) * t_0))))); elseif (y <= 0.00105) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(t_2 * 0.5) + Float64(t_0 * 0.5))))); else tmp = Float64(Float64(2.0 + Float64(t_3 * Float64(sqrt(2.0) * t_4))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); 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] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -8.2e-7], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * t$95$4), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$2), $MachinePrecision] + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.00105], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(t$95$2 * 0.5), $MachinePrecision] + N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x \cdot t\_1\\
t_3 := {\sin y}^{2}\\
t_4 := -0.0625 \cdot \left(1 - \cos y\right)\\
\mathbf{if}\;y \leq -8.2 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_3 \cdot t\_4, 2\right)}{3 + \left(1.5 \cdot t\_2 + 1.5 \cdot \left(\cos y \cdot t\_0\right)\right)}\\
\mathbf{elif}\;y \leq 0.00105:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(t\_2 \cdot 0.5 + t\_0 \cdot 0.5\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_3 \cdot \left(\sqrt{2} \cdot t\_4\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\end{array}
\end{array}
if y < -8.1999999999999998e-7Initial program 99.1%
Simplified99.3%
Taylor expanded in y around inf 99.3%
Taylor expanded in x around 0 64.2%
*-commutative64.2%
associate-*l*64.2%
*-commutative64.2%
Simplified64.2%
if -8.1999999999999998e-7 < y < 0.00104999999999999994Initial program 99.5%
Taylor expanded in y around 0 98.8%
*-commutative98.8%
associate-*l*98.8%
associate-*r*98.8%
*-commutative98.8%
associate-*r*98.8%
*-commutative98.8%
sub-neg98.8%
metadata-eval98.8%
Simplified98.8%
Taylor expanded in y around 0 98.9%
if 0.00104999999999999994 < y Initial program 99.1%
Taylor expanded in x around 0 60.9%
*-commutative60.9%
associate-*l*60.9%
associate-*r*60.9%
Simplified60.9%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (pow (sin x) 2.0))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (+ 1.0 (* (cos x) (/ t_2 2.0))))
(t_4 (+ (cos x) -1.0)))
(if (<= x -0.00078)
(*
0.3333333333333333
(/
(+ 2.0 (* (* (sqrt 2.0) t_4) (* -0.0625 t_1)))
(+ 1.0 (* 0.5 (+ (* (cos x) t_2) (* (cos y) t_0))))))
(if (<= x 6.2e-8)
(/
(+
2.0
(* (pow (sin y) 2.0) (* (sqrt 2.0) (* -0.0625 (- 1.0 (cos y))))))
(* 3.0 (+ t_3 (* (cos y) (/ t_0 2.0)))))
(/
(+ 2.0 (* t_1 (* t_4 (* (sqrt 2.0) -0.0625))))
(* 3.0 (+ t_3 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = 1.0 + (cos(x) * (t_2 / 2.0));
double t_4 = cos(x) + -1.0;
double tmp;
if (x <= -0.00078) {
tmp = 0.3333333333333333 * ((2.0 + ((sqrt(2.0) * t_4) * (-0.0625 * t_1))) / (1.0 + (0.5 * ((cos(x) * t_2) + (cos(y) * t_0)))));
} else if (x <= 6.2e-8) {
tmp = (2.0 + (pow(sin(y), 2.0) * (sqrt(2.0) * (-0.0625 * (1.0 - cos(y)))))) / (3.0 * (t_3 + (cos(y) * (t_0 / 2.0))));
} else {
tmp = (2.0 + (t_1 * (t_4 * (sqrt(2.0) * -0.0625)))) / (3.0 * (t_3 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = 3.0d0 - sqrt(5.0d0)
t_1 = sin(x) ** 2.0d0
t_2 = sqrt(5.0d0) + (-1.0d0)
t_3 = 1.0d0 + (cos(x) * (t_2 / 2.0d0))
t_4 = cos(x) + (-1.0d0)
if (x <= (-0.00078d0)) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((sqrt(2.0d0) * t_4) * ((-0.0625d0) * t_1))) / (1.0d0 + (0.5d0 * ((cos(x) * t_2) + (cos(y) * t_0)))))
else if (x <= 6.2d-8) then
tmp = (2.0d0 + ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * ((-0.0625d0) * (1.0d0 - cos(y)))))) / (3.0d0 * (t_3 + (cos(y) * (t_0 / 2.0d0))))
else
tmp = (2.0d0 + (t_1 * (t_4 * (sqrt(2.0d0) * (-0.0625d0))))) / (3.0d0 * (t_3 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 - Math.sqrt(5.0);
double t_1 = Math.pow(Math.sin(x), 2.0);
double t_2 = Math.sqrt(5.0) + -1.0;
double t_3 = 1.0 + (Math.cos(x) * (t_2 / 2.0));
double t_4 = Math.cos(x) + -1.0;
double tmp;
if (x <= -0.00078) {
tmp = 0.3333333333333333 * ((2.0 + ((Math.sqrt(2.0) * t_4) * (-0.0625 * t_1))) / (1.0 + (0.5 * ((Math.cos(x) * t_2) + (Math.cos(y) * t_0)))));
} else if (x <= 6.2e-8) {
tmp = (2.0 + (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (-0.0625 * (1.0 - Math.cos(y)))))) / (3.0 * (t_3 + (Math.cos(y) * (t_0 / 2.0))));
} else {
tmp = (2.0 + (t_1 * (t_4 * (Math.sqrt(2.0) * -0.0625)))) / (3.0 * (t_3 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 - math.sqrt(5.0) t_1 = math.pow(math.sin(x), 2.0) t_2 = math.sqrt(5.0) + -1.0 t_3 = 1.0 + (math.cos(x) * (t_2 / 2.0)) t_4 = math.cos(x) + -1.0 tmp = 0 if x <= -0.00078: tmp = 0.3333333333333333 * ((2.0 + ((math.sqrt(2.0) * t_4) * (-0.0625 * t_1))) / (1.0 + (0.5 * ((math.cos(x) * t_2) + (math.cos(y) * t_0))))) elif x <= 6.2e-8: tmp = (2.0 + (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (-0.0625 * (1.0 - math.cos(y)))))) / (3.0 * (t_3 + (math.cos(y) * (t_0 / 2.0)))) else: tmp = (2.0 + (t_1 * (t_4 * (math.sqrt(2.0) * -0.0625)))) / (3.0 * (t_3 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) t_4 = Float64(cos(x) + -1.0) tmp = 0.0 if (x <= -0.00078) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * t_4) * Float64(-0.0625 * t_1))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * t_2) + Float64(cos(y) * t_0)))))); elseif (x <= 6.2e-8) tmp = Float64(Float64(2.0 + Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(t_3 + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(t_4 * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(t_3 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 - sqrt(5.0); t_1 = sin(x) ^ 2.0; t_2 = sqrt(5.0) + -1.0; t_3 = 1.0 + (cos(x) * (t_2 / 2.0)); t_4 = cos(x) + -1.0; tmp = 0.0; if (x <= -0.00078) tmp = 0.3333333333333333 * ((2.0 + ((sqrt(2.0) * t_4) * (-0.0625 * t_1))) / (1.0 + (0.5 * ((cos(x) * t_2) + (cos(y) * t_0))))); elseif (x <= 6.2e-8) tmp = (2.0 + ((sin(y) ^ 2.0) * (sqrt(2.0) * (-0.0625 * (1.0 - cos(y)))))) / (3.0 * (t_3 + (cos(y) * (t_0 / 2.0)))); else tmp = (2.0 + (t_1 * (t_4 * (sqrt(2.0) * -0.0625)))) / (3.0 * (t_3 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.00078], N[(0.3333333333333333 * N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * t$95$4), $MachinePrecision] * N[(-0.0625 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.2e-8], N[(N[(2.0 + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$3 + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(t$95$4 * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$3 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin x}^{2}\\
t_2 := \sqrt{5} + -1\\
t_3 := 1 + \cos x \cdot \frac{t\_2}{2}\\
t_4 := \cos x + -1\\
\mathbf{if}\;x \leq -0.00078:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + \left(\sqrt{2} \cdot t\_4\right) \cdot \left(-0.0625 \cdot t\_1\right)}{1 + 0.5 \cdot \left(\cos x \cdot t\_2 + \cos y \cdot t\_0\right)}\\
\mathbf{elif}\;x \leq 6.2 \cdot 10^{-8}:\\
\;\;\;\;\frac{2 + {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(t\_3 + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(t\_4 \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(t\_3 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\end{array}
\end{array}
if x < -7.79999999999999986e-4Initial program 98.9%
Taylor expanded in y around 0 57.1%
*-commutative57.1%
associate-*l*57.1%
associate-*r*57.1%
*-commutative57.1%
associate-*r*57.1%
*-commutative57.1%
sub-neg57.1%
metadata-eval57.1%
Simplified57.1%
Taylor expanded in x around inf 57.2%
associate-*r*57.2%
sub-neg57.2%
metadata-eval57.2%
distribute-lft-out57.2%
sub-neg57.2%
metadata-eval57.2%
Simplified57.2%
if -7.79999999999999986e-4 < x < 6.2e-8Initial program 99.6%
Taylor expanded in x around 0 99.3%
*-commutative99.3%
associate-*l*99.3%
associate-*r*99.3%
Simplified99.3%
if 6.2e-8 < x Initial program 98.8%
Taylor expanded in y around 0 53.2%
*-commutative53.2%
associate-*l*53.2%
associate-*r*53.2%
*-commutative53.2%
associate-*r*53.2%
*-commutative53.2%
sub-neg53.2%
metadata-eval53.2%
Simplified53.2%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr53.3%
+-commutative99.0%
Simplified53.3%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -9.5e-7) (not (<= y 0.00105)))
(/
(+ 2.0 (* (pow (sin y) 2.0) (* (sqrt 2.0) (* -0.0625 (- 1.0 (cos y))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (+ (* (* (cos x) t_1) 0.5) (* t_0 0.5))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -9.5e-7) || !(y <= 0.00105)) {
tmp = (2.0 + (pow(sin(y), 2.0) * (sqrt(2.0) * (-0.0625 * (1.0 - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (((cos(x) * t_1) * 0.5) + (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 = 3.0d0 - sqrt(5.0d0)
t_1 = sqrt(5.0d0) + (-1.0d0)
if ((y <= (-9.5d-7)) .or. (.not. (y <= 0.00105d0))) then
tmp = (2.0d0 + ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * ((-0.0625d0) * (1.0d0 - cos(y)))))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_1 / 2.0d0))) + (cos(y) * (t_0 / 2.0d0))))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (((cos(x) * t_1) * 0.5d0) + (t_0 * 0.5d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 - Math.sqrt(5.0);
double t_1 = Math.sqrt(5.0) + -1.0;
double tmp;
if ((y <= -9.5e-7) || !(y <= 0.00105)) {
tmp = (2.0 + (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (-0.0625 * (1.0 - Math.cos(y)))))) / (3.0 * ((1.0 + (Math.cos(x) * (t_1 / 2.0))) + (Math.cos(y) * (t_0 / 2.0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (((Math.cos(x) * t_1) * 0.5) + (t_0 * 0.5))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 - math.sqrt(5.0) t_1 = math.sqrt(5.0) + -1.0 tmp = 0 if (y <= -9.5e-7) or not (y <= 0.00105): tmp = (2.0 + (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (-0.0625 * (1.0 - math.cos(y)))))) / (3.0 * ((1.0 + (math.cos(x) * (t_1 / 2.0))) + (math.cos(y) * (t_0 / 2.0)))) else: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + (((math.cos(x) * t_1) * 0.5) + (t_0 * 0.5)))) return tmp
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -9.5e-7) || !(y <= 0.00105)) tmp = Float64(Float64(2.0 + Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(Float64(cos(x) * t_1) * 0.5) + Float64(t_0 * 0.5))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 - sqrt(5.0); t_1 = sqrt(5.0) + -1.0; tmp = 0.0; if ((y <= -9.5e-7) || ~((y <= 0.00105))) tmp = (2.0 + ((sin(y) ^ 2.0) * (sqrt(2.0) * (-0.0625 * (1.0 - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0)))); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (((cos(x) * t_1) * 0.5) + (t_0 * 0.5)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -9.5e-7], N[Not[LessEqual[y, 0.00105]], $MachinePrecision]], N[(N[(2.0 + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] * 0.5), $MachinePrecision] + N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -9.5 \cdot 10^{-7} \lor \neg \left(y \leq 0.00105\right):\\
\;\;\;\;\frac{2 + {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(\left(\cos x \cdot t\_1\right) \cdot 0.5 + t\_0 \cdot 0.5\right)}\\
\end{array}
\end{array}
if y < -9.5000000000000001e-7 or 0.00104999999999999994 < y Initial program 99.1%
Taylor expanded in x around 0 62.7%
*-commutative62.7%
associate-*l*62.7%
associate-*r*62.7%
Simplified62.7%
if -9.5000000000000001e-7 < y < 0.00104999999999999994Initial program 99.5%
Taylor expanded in y around 0 98.8%
*-commutative98.8%
associate-*l*98.8%
associate-*r*98.8%
*-commutative98.8%
associate-*r*98.8%
*-commutative98.8%
sub-neg98.8%
metadata-eval98.8%
Simplified98.8%
Taylor expanded in y around 0 98.9%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+ 2.0 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (* -0.0625 (pow (sin x) 2.0))))
(+
1.0
(*
0.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * pow(sin(x), 2.0)))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * ((-0.0625d0) * (sin(x) ** 2.0d0)))) / (1.0d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (cos(y) * (3.0d0 - sqrt(5.0d0)))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (-0.0625 * Math.pow(Math.sin(x), 2.0)))) / (1.0 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (Math.cos(y) * (3.0 - Math.sqrt(5.0)))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (-0.0625 * math.pow(math.sin(x), 2.0)))) / (1.0 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (math.cos(y) * (3.0 - math.sqrt(5.0)))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * (sin(x) ^ 2.0)))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * (sin(x) ^ 2.0)))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0))))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)}{1 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 57.6%
*-commutative57.6%
associate-*l*57.6%
associate-*r*57.6%
*-commutative57.6%
associate-*r*57.6%
*-commutative57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Taylor expanded in x around inf 57.6%
associate-*r*57.6%
sub-neg57.6%
metadata-eval57.6%
distribute-lft-out57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Final simplification57.6%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+
1.0
(+ (* (* (cos x) (+ (sqrt 5.0) -1.0)) 0.5) (* (- 3.0 (sqrt 5.0)) 0.5))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - sqrt(5.0)) * 0.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (((cos(x) * (sqrt(5.0d0) + (-1.0d0))) * 0.5d0) + ((3.0d0 - sqrt(5.0d0)) * 0.5d0))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - Math.sqrt(5.0)) * 0.5))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + (((math.cos(x) * (math.sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - math.sqrt(5.0)) * 0.5))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) * 0.5) + Float64(Float64(3.0 - sqrt(5.0)) * 0.5))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - sqrt(5.0)) * 0.5)))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(\left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) \cdot 0.5 + \left(3 - \sqrt{5}\right) \cdot 0.5\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 57.6%
*-commutative57.6%
associate-*l*57.6%
associate-*r*57.6%
*-commutative57.6%
associate-*r*57.6%
*-commutative57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Taylor expanded in y around 0 55.1%
Final simplification55.1%
(FPCore (x y)
:precision binary64
(cbrt
(/
0.2962962962962963
(pow
(+ 1.0 (* 0.5 (+ -1.0 (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))))))
3.0))))
double code(double x, double y) {
return cbrt((0.2962962962962963 / pow((1.0 + (0.5 * (-1.0 + (sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0))))))), 3.0)));
}
public static double code(double x, double y) {
return Math.cbrt((0.2962962962962963 / Math.pow((1.0 + (0.5 * (-1.0 + (Math.sqrt(5.0) + (Math.cos(y) * (3.0 - Math.sqrt(5.0))))))), 3.0)));
}
function code(x, y) return cbrt(Float64(0.2962962962962963 / (Float64(1.0 + Float64(0.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))) ^ 3.0))) end
code[x_, y_] := N[Power[N[(0.2962962962962963 / N[Power[N[(1.0 + N[(0.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}
\\
\sqrt[3]{\frac{0.2962962962962963}{{\left(1 + 0.5 \cdot \left(-1 + \left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right)\right)\right)}^{3}}}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 57.6%
*-commutative57.6%
associate-*l*57.6%
associate-*r*57.6%
*-commutative57.6%
associate-*r*57.6%
*-commutative57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Taylor expanded in x around 0 41.3%
distribute-lft-out41.3%
sub-neg41.3%
metadata-eval41.3%
Simplified41.3%
add-cbrt-cube41.3%
pow341.0%
+-commutative41.0%
*-commutative41.0%
fma-define41.0%
associate-+r+41.0%
fma-define41.0%
Applied egg-rr41.0%
Taylor expanded in y around inf 41.3%
Final simplification41.3%
(FPCore (x y) :precision binary64 (* 0.6666666666666666 (/ 1.0 (fma (+ -1.0 (fma (cos y) (- 3.0 (sqrt 5.0)) (sqrt 5.0))) 0.5 1.0))))
double code(double x, double y) {
return 0.6666666666666666 * (1.0 / fma((-1.0 + fma(cos(y), (3.0 - sqrt(5.0)), sqrt(5.0))), 0.5, 1.0));
}
function code(x, y) return Float64(0.6666666666666666 * Float64(1.0 / fma(Float64(-1.0 + fma(cos(y), Float64(3.0 - sqrt(5.0)), sqrt(5.0))), 0.5, 1.0))) end
code[x_, y_] := N[(0.6666666666666666 * N[(1.0 / N[(N[(-1.0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.6666666666666666 \cdot \frac{1}{\mathsf{fma}\left(-1 + \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5}\right), 0.5, 1\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 57.6%
*-commutative57.6%
associate-*l*57.6%
associate-*r*57.6%
*-commutative57.6%
associate-*r*57.6%
*-commutative57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Taylor expanded in x around 0 41.3%
distribute-lft-out41.3%
sub-neg41.3%
metadata-eval41.3%
Simplified41.3%
div-inv41.3%
+-commutative41.3%
*-commutative41.3%
fma-define41.3%
associate-+r+41.3%
fma-define41.3%
Applied egg-rr41.3%
Final simplification41.3%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (+ 1.0 (* 0.5 (+ (* (cos y) (- 3.0 (sqrt 5.0))) (+ (sqrt 5.0) -1.0))))))
double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (sqrt(5.0) + -1.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.6666666666666666d0 / (1.0d0 + (0.5d0 * ((cos(y) * (3.0d0 - sqrt(5.0d0))) + (sqrt(5.0d0) + (-1.0d0)))))
end function
public static double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((Math.cos(y) * (3.0 - Math.sqrt(5.0))) + (Math.sqrt(5.0) + -1.0))));
}
def code(x, y): return 0.6666666666666666 / (1.0 + (0.5 * ((math.cos(y) * (3.0 - math.sqrt(5.0))) + (math.sqrt(5.0) + -1.0))))
function code(x, y) return Float64(0.6666666666666666 / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + Float64(sqrt(5.0) + -1.0))))) end
function tmp = code(x, y) tmp = 0.6666666666666666 / (1.0 + (0.5 * ((cos(y) * (3.0 - sqrt(5.0))) + (sqrt(5.0) + -1.0)))); end
code[x_, y_] := N[(0.6666666666666666 / N[(1.0 + N[(0.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{1 + 0.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 57.6%
*-commutative57.6%
associate-*l*57.6%
associate-*r*57.6%
*-commutative57.6%
associate-*r*57.6%
*-commutative57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Taylor expanded in x around 0 41.3%
distribute-lft-out41.3%
sub-neg41.3%
metadata-eval41.3%
Simplified41.3%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 57.6%
*-commutative57.6%
associate-*l*57.6%
associate-*r*57.6%
*-commutative57.6%
associate-*r*57.6%
*-commutative57.6%
sub-neg57.6%
metadata-eval57.6%
Simplified57.6%
Taylor expanded in x around 0 41.3%
distribute-lft-out41.3%
sub-neg41.3%
metadata-eval41.3%
Simplified41.3%
Taylor expanded in y around 0 39.1%
herbie shell --seed 2024088
(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))))))