
(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 21 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) (* -0.0625 (sin x)))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
1.5
(* (cos x) (+ (sqrt 5.0) -1.0))
(/ 6.0 (/ (+ 3.0 (sqrt 5.0)) (cos y)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(1.5, (cos(x) * (sqrt(5.0) + -1.0)), (6.0 / ((3.0 + sqrt(5.0)) / cos(y)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(1.5, Float64(cos(x) * Float64(sqrt(5.0) + -1.0)), Float64(6.0 / Float64(Float64(3.0 + sqrt(5.0)) / cos(y)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $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[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(6.0 / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\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(1.5, \cos x \cdot \left(\sqrt{5} + -1\right), \frac{6}{\frac{3 + \sqrt{5}}{\cos y}}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
fma-def99.4%
sub-neg99.4%
metadata-eval99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in x around inf 99.4%
fma-def99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
associate-*r/99.5%
+-commutative99.5%
associate-/l*99.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
1.5
(* (cos x) (+ (sqrt 5.0) -1.0))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(1.5, (cos(x) * (sqrt(5.0) + -1.0)), (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(1.5, Float64(cos(x) * Float64(sqrt(5.0) + -1.0)), Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $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[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\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(1.5, \cos x \cdot \left(\sqrt{5} + -1\right), 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
fma-def99.4%
sub-neg99.4%
metadata-eval99.4%
+-commutative99.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* (sin y) -0.0625))
(* (+ (sin y) (* -0.0625 (sin x))) (- (cos x) (cos y))))))
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((sin(y) + (-0.0625 * sin(x))) * (cos(x) - cos(y)))))) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + (sin(y) * (-0.0625d0))) * ((sin(y) + ((-0.0625d0) * sin(x))) * (cos(x) - cos(y)))))) / (3.0d0 + ((1.5d0 * (cos(x) * (sqrt(5.0d0) + (-1.0d0)))) + (6.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (Math.sin(y) * -0.0625)) * ((Math.sin(y) + (-0.0625 * Math.sin(x))) * (Math.cos(x) - Math.cos(y)))))) / (3.0 + ((1.5 * (Math.cos(x) * (Math.sqrt(5.0) + -1.0))) + (6.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0))))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(x) + (math.sin(y) * -0.0625)) * ((math.sin(y) + (-0.0625 * math.sin(x))) * (math.cos(x) - math.cos(y)))))) / (3.0 + ((1.5 * (math.cos(x) * (math.sqrt(5.0) + -1.0))) + (6.0 * (math.cos(y) / (3.0 + math.sqrt(5.0))))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(cos(x) - cos(y)))))) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((sin(y) + (-0.0625 * sin(x))) * (cos(x) - cos(y)))))) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0)))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\cos x - \cos y\right)\right)\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
fma-def99.4%
sub-neg99.4%
metadata-eval99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_2 (- (cos x) (cos y))))
(if (or (<= x -0.033) (not (<= x 0.017)))
(/ (+ 2.0 (* t_2 (* (* (sqrt 2.0) (sin x)) t_0))) t_1)
(/
(+ 2.0 (* t_2 (* t_0 (* (sqrt 2.0) (+ x (* (sin y) -0.0625))))))
t_1))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = cos(x) - cos(y);
double tmp;
if ((x <= -0.033) || !(x <= 0.017)) {
tmp = (2.0 + (t_2 * ((sqrt(2.0) * sin(x)) * t_0))) / t_1;
} else {
tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sin(y) - (sin(x) / 16.0d0)
t_1 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
t_2 = cos(x) - cos(y)
if ((x <= (-0.033d0)) .or. (.not. (x <= 0.017d0))) then
tmp = (2.0d0 + (t_2 * ((sqrt(2.0d0) * sin(x)) * t_0))) / t_1
else
tmp = (2.0d0 + (t_2 * (t_0 * (sqrt(2.0d0) * (x + (sin(y) * (-0.0625d0))))))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double t_2 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -0.033) || !(x <= 0.017)) {
tmp = (2.0 + (t_2 * ((Math.sqrt(2.0) * Math.sin(x)) * t_0))) / t_1;
} else {
tmp = (2.0 + (t_2 * (t_0 * (Math.sqrt(2.0) * (x + (Math.sin(y) * -0.0625)))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) t_2 = math.cos(x) - math.cos(y) tmp = 0 if (x <= -0.033) or not (x <= 0.017): tmp = (2.0 + (t_2 * ((math.sqrt(2.0) * math.sin(x)) * t_0))) / t_1 else: tmp = (2.0 + (t_2 * (t_0 * (math.sqrt(2.0) * (x + (math.sin(y) * -0.0625)))))) / t_1 return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_2 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -0.033) || !(x <= 0.017)) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(Float64(sqrt(2.0) * sin(x)) * t_0))) / t_1); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -0.0625)))))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); t_2 = cos(x) - cos(y); tmp = 0.0; if ((x <= -0.033) || ~((x <= 0.017))) tmp = (2.0 + (t_2 * ((sqrt(2.0) * sin(x)) * t_0))) / t_1; else tmp = (2.0 + (t_2 * (t_0 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.033], N[Not[LessEqual[x, 0.017]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$2 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_2 := \cos x - \cos y\\
\mathbf{if}\;x \leq -0.033 \lor \neg \left(x \leq 0.017\right):\\
\;\;\;\;\frac{2 + t_2 \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot t_0\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_2 \cdot \left(t_0 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \cdot -0.0625\right)\right)\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.033000000000000002 or 0.017000000000000001 < x Initial program 99.0%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
if -0.033000000000000002 < x < 0.017000000000000001Initial program 99.6%
Taylor expanded in x around 0 99.0%
associate-*r*99.0%
metadata-eval99.0%
distribute-rgt-out99.0%
metadata-eval99.0%
Simplified99.0%
Final simplification82.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -0.0058) (not (<= x 0.012)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) (sin x)) (- (sin y) (/ (sin x) 16.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) (* (cos y) (/ t_1 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (+ x (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ (* (cos x) t_0) (* (cos y) t_1))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -0.0058) || !(x <= 0.012)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * (t_1 / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((x + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(x) * t_0) + (cos(y) * t_1))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -0.0058) || !(x <= 0.012)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(x + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_0) + Float64(cos(y) * t_1))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0058], N[Not[LessEqual[x, 0.012]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.0058 \lor \neg \left(x \leq 0.012\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{t_1}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\left(x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot t_0 + \cos y \cdot t_1\right)}\\
\end{array}
\end{array}
if x < -0.0058 or 0.012 < x Initial program 99.0%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
if -0.0058 < x < 0.012Initial program 99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 98.8%
associate-*r*98.8%
distribute-rgt-out98.8%
Simplified98.8%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos x) (+ (sqrt 5.0) -1.0))
(* (cos y) (- 3.0 (sqrt 5.0)))))))
(t_1 (+ (sin y) (* -0.0625 (sin x)))))
(if (or (<= x -0.008) (not (<= x 0.011)))
(/ (fma (sqrt 2.0) (* t_1 (* (sin x) (+ (cos x) -1.0))) 2.0) t_0)
(/
(fma
(sqrt 2.0)
(* t_1 (* (+ x (* (sin y) -0.0625)) (- 1.0 (cos y))))
2.0)
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))));
double t_1 = sin(y) + (-0.0625 * sin(x));
double tmp;
if ((x <= -0.008) || !(x <= 0.011)) {
tmp = fma(sqrt(2.0), (t_1 * (sin(x) * (cos(x) + -1.0))), 2.0) / t_0;
} else {
tmp = fma(sqrt(2.0), (t_1 * ((x + (sin(y) * -0.0625)) * (1.0 - cos(y)))), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))) t_1 = Float64(sin(y) + Float64(-0.0625 * sin(x))) tmp = 0.0 if ((x <= -0.008) || !(x <= 0.011)) tmp = Float64(fma(sqrt(2.0), Float64(t_1 * Float64(sin(x) * Float64(cos(x) + -1.0))), 2.0) / t_0); else tmp = Float64(fma(sqrt(2.0), Float64(t_1 * Float64(Float64(x + Float64(sin(y) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * 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]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.008], N[Not[LessEqual[x, 0.011]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)\\
t_1 := \sin y + -0.0625 \cdot \sin x\\
\mathbf{if}\;x \leq -0.008 \lor \neg \left(x \leq 0.011\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t_1 \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right), 2\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t_1 \cdot \left(\left(x + \sin y \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{t_0}\\
\end{array}
\end{array}
if x < -0.0080000000000000002 or 0.010999999999999999 < x Initial program 99.0%
Simplified99.1%
Taylor expanded in y around inf 99.0%
distribute-lft-out99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.1%
if -0.0080000000000000002 < x < 0.010999999999999999Initial program 99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 98.8%
associate-*r*98.8%
distribute-rgt-out98.8%
Simplified98.8%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.00145) (not (<= x 0.0105)))
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* -0.0625 (sin x))) (* (sin x) (+ (cos x) -1.0)))
2.0)
(+
3.0
(*
1.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0)))))))
(/
(+
2.0
(*
(- 1.0 (cos y))
(*
(sqrt 2.0)
(* (- (sin y) (/ (sin x) 16.0)) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.00145) || !(x <= 0.0105)) {
tmp = fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * (sin(x) * (cos(x) + -1.0))), 2.0) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0))))));
} else {
tmp = (2.0 + ((1.0 - cos(y)) * (sqrt(2.0) * ((sin(y) - (sin(x) / 16.0)) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.00145) || !(x <= 0.0105)) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(sin(x) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.00145], N[Not[LessEqual[x, 0.0105]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * 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], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.00145 \lor \neg \left(x \leq 0.0105\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \cos y \cdot \left(1.5 - t_0\right)\right) - 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -0.00145 or 0.0105000000000000007 < x Initial program 99.0%
Simplified99.1%
Taylor expanded in y around inf 99.0%
distribute-lft-out99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.1%
if -0.00145 < x < 0.0105000000000000007Initial program 99.6%
associate-*l*99.6%
distribute-rgt-in99.6%
cos-neg99.6%
distribute-rgt-in99.6%
associate-+l+99.6%
Simplified99.6%
Taylor expanded in x around 0 98.4%
Taylor expanded in x around 0 98.4%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (pow (sin x) 2.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (/ (sqrt 5.0) 2.0)))
(if (<= x -0.00145)
(/
(+ 2.0 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (* -0.0625 t_0)))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= x 0.0102)
(/
(+
2.0
(*
(- 1.0 (cos y))
(*
(sqrt 2.0)
(* (- (sin y) (/ (sin x) 16.0)) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ 1.0 (- (+ t_1 (* (cos y) (- 1.5 t_1))) 0.5))))
(/
(+ 2.0 (* (- (cos x) (cos y)) (* t_0 (* (sqrt 2.0) -0.0625))))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))))))
double code(double x, double y) {
double t_0 = pow(sin(x), 2.0);
double t_1 = sqrt(5.0) * 0.5;
double t_2 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -0.00145) {
tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * t_0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (x <= 0.0102) {
tmp = (2.0 + ((1.0 - cos(y)) * (sqrt(2.0) * ((sin(y) - (sin(x) / 16.0)) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((t_1 + (cos(y) * (1.5 - t_1))) - 0.5)));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0) * -0.0625)))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sin(x) ** 2.0d0
t_1 = sqrt(5.0d0) * 0.5d0
t_2 = sqrt(5.0d0) / 2.0d0
if (x <= (-0.00145d0)) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * ((-0.0625d0) * t_0))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else if (x <= 0.0102d0) then
tmp = (2.0d0 + ((1.0d0 - cos(y)) * (sqrt(2.0d0) * ((sin(y) - (sin(x) / 16.0d0)) * (sin(x) - (sin(y) / 16.0d0)))))) / (3.0d0 * (1.0d0 + ((t_1 + (cos(y) * (1.5d0 - t_1))) - 0.5d0)))
else
tmp = (2.0d0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0d0) * (-0.0625d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_2 - 0.5d0)) + (cos(y) * (1.5d0 - t_2)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.pow(Math.sin(x), 2.0);
double t_1 = Math.sqrt(5.0) * 0.5;
double t_2 = Math.sqrt(5.0) / 2.0;
double tmp;
if (x <= -0.00145) {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (-0.0625 * t_0))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else if (x <= 0.0102) {
tmp = (2.0 + ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sin(x) - (Math.sin(y) / 16.0)))))) / (3.0 * (1.0 + ((t_1 + (Math.cos(y) * (1.5 - t_1))) - 0.5)));
} else {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (t_0 * (Math.sqrt(2.0) * -0.0625)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_2 - 0.5)) + (Math.cos(y) * (1.5 - t_2)))));
}
return tmp;
}
def code(x, y): t_0 = math.pow(math.sin(x), 2.0) t_1 = math.sqrt(5.0) * 0.5 t_2 = math.sqrt(5.0) / 2.0 tmp = 0 if x <= -0.00145: tmp = (2.0 + ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (-0.0625 * t_0))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) elif x <= 0.0102: tmp = (2.0 + ((1.0 - math.cos(y)) * (math.sqrt(2.0) * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.sin(x) - (math.sin(y) / 16.0)))))) / (3.0 * (1.0 + ((t_1 + (math.cos(y) * (1.5 - t_1))) - 0.5))) else: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (t_0 * (math.sqrt(2.0) * -0.0625)))) / (3.0 * (1.0 + ((math.cos(x) * (t_2 - 0.5)) + (math.cos(y) * (1.5 - t_2))))) return tmp
function code(x, y) t_0 = sin(x) ^ 2.0 t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -0.00145) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * 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))))); elseif (x <= 0.0102) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_1 + Float64(cos(y) * Float64(1.5 - t_1))) - 0.5)))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_0 * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_2 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_2)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(x) ^ 2.0; t_1 = sqrt(5.0) * 0.5; t_2 = sqrt(5.0) / 2.0; tmp = 0.0; if (x <= -0.00145) tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * t_0))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); elseif (x <= 0.0102) tmp = (2.0 + ((1.0 - cos(y)) * (sqrt(2.0) * ((sin(y) - (sin(x) / 16.0)) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((t_1 + (cos(y) * (1.5 - t_1))) - 0.5))); else tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0) * -0.0625)))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -0.00145], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * t$95$0), $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], If[LessEqual[x, 0.0102], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin x}^{2}\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.00145:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;x \leq 0.0102:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right)}{3 \cdot \left(1 + \left(\left(t_1 + \cos y \cdot \left(1.5 - t_1\right)\right) - 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(t_0 \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_2 - 0.5\right) + \cos y \cdot \left(1.5 - t_2\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.00145Initial program 99.2%
Taylor expanded in y around 0 59.8%
*-commutative59.8%
*-commutative59.8%
associate-*l*59.8%
*-commutative59.8%
sub-neg59.8%
metadata-eval59.8%
Simplified59.8%
if -0.00145 < x < 0.010200000000000001Initial program 99.6%
associate-*l*99.6%
distribute-rgt-in99.6%
cos-neg99.6%
distribute-rgt-in99.6%
associate-+l+99.6%
Simplified99.6%
Taylor expanded in x around 0 98.4%
Taylor expanded in x around 0 98.4%
if 0.010200000000000001 < x Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.9%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 60.8%
*-commutative60.8%
associate-*l*60.8%
Simplified60.8%
Final simplification80.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (pow (sin x) 2.0))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (/ (sqrt 5.0) 2.0)))
(if (<= x -0.00145)
(/
(+ 2.0 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (* -0.0625 t_0)))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_1 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= x 56000000000.0)
(/
(fma -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))) 2.0)
(+ 3.0 (fma 1.5 t_1 (/ 6.0 (/ (+ 3.0 (sqrt 5.0)) (cos y))))))
(/
(+ 2.0 (* (- (cos x) (cos y)) (* t_0 (* (sqrt 2.0) -0.0625))))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))))))
double code(double x, double y) {
double t_0 = pow(sin(x), 2.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -0.00145) {
tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * t_0))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (x <= 56000000000.0) {
tmp = fma(-0.0625, (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))), 2.0) / (3.0 + fma(1.5, t_1, (6.0 / ((3.0 + sqrt(5.0)) / cos(y)))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * (t_0 * (sqrt(2.0) * -0.0625)))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
}
return tmp;
}
function code(x, y) t_0 = sin(x) ^ 2.0 t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -0.00145) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * t_0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); elseif (x <= 56000000000.0) tmp = Float64(fma(-0.0625, Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + fma(1.5, t_1, Float64(6.0 / Float64(Float64(3.0 + sqrt(5.0)) / cos(y)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_0 * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_2 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_2)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -0.00145], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * t$95$0), $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[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 56000000000.0], N[(N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * t$95$1 + N[(6.0 / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin x}^{2}\\
t_1 := \sqrt{5} + -1\\
t_2 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.00145:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;x \leq 56000000000:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(1.5, t_1, \frac{6}{\frac{3 + \sqrt{5}}{\cos y}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(t_0 \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_2 - 0.5\right) + \cos y \cdot \left(1.5 - t_2\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.00145Initial program 99.2%
Taylor expanded in y around 0 59.8%
*-commutative59.8%
*-commutative59.8%
associate-*l*59.8%
*-commutative59.8%
sub-neg59.8%
metadata-eval59.8%
Simplified59.8%
if -0.00145 < x < 5.6e10Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
fma-def99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 97.2%
+-commutative97.2%
fma-def97.2%
fma-def97.2%
sub-neg97.2%
metadata-eval97.2%
associate-*r/97.3%
+-commutative97.3%
associate-/l*97.3%
Simplified97.3%
if 5.6e10 < x Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.9%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in y around 0 61.4%
*-commutative61.4%
associate-*l*61.4%
Simplified61.4%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(t_2 (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
(if (<= y -0.00042)
(/ (+ 2.0 (* (- (cos x) (cos y)) t_2)) t_1)
(if (<= y 3.8e-8)
(/
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0))))
(+
3.0
(fma 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)) (/ 6.0 (+ 3.0 (sqrt 5.0))))))
(/ (+ 2.0 (* (- 1.0 (cos y)) t_2)) t_1)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = 3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))));
double t_2 = -0.0625 * (sqrt(2.0) * pow(sin(y), 2.0));
double tmp;
if (y <= -0.00042) {
tmp = (2.0 + ((cos(x) - cos(y)) * t_2)) / t_1;
} else if (y <= 3.8e-8) {
tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (3.0 + fma(1.5, (cos(x) * (sqrt(5.0) + -1.0)), (6.0 / (3.0 + sqrt(5.0)))));
} else {
tmp = (2.0 + ((1.0 - cos(y)) * t_2)) / t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0))))) t_2 = Float64(-0.0625 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))) tmp = 0.0 if (y <= -0.00042) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * t_2)) / t_1); elseif (y <= 3.8e-8) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(3.0 + fma(1.5, Float64(cos(x) * Float64(sqrt(5.0) + -1.0)), Float64(6.0 / Float64(3.0 + sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * t_2)) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.00042], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[y, 3.8e-8], N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := 3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)\\
t_2 := -0.0625 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\\
\mathbf{if}\;y \leq -0.00042:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot t_2}{t_1}\\
\mathbf{elif}\;y \leq 3.8 \cdot 10^{-8}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{3 + \mathsf{fma}\left(1.5, \cos x \cdot \left(\sqrt{5} + -1\right), \frac{6}{3 + \sqrt{5}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot t_2}{t_1}\\
\end{array}
\end{array}
if y < -4.2000000000000002e-4Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in98.9%
associate-+l+99.0%
Simplified99.0%
Taylor expanded in x around 0 62.8%
if -4.2000000000000002e-4 < y < 3.80000000000000028e-8Initial program 99.5%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around inf 99.7%
fma-def99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
associate-*r/99.7%
+-commutative99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in y around 0 98.9%
sub-neg98.9%
metadata-eval98.9%
fma-def99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
associate-*r/99.0%
metadata-eval99.0%
+-commutative99.0%
Simplified99.0%
if 3.80000000000000028e-8 < y Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.3%
Simplified99.3%
Taylor expanded in x around 0 63.7%
Taylor expanded in x around 0 63.8%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00145) (not (<= x 56000000000.0)))
(/
(+ 2.0 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (* -0.0625 (pow (sin x) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))) 2.0)
(+ 3.0 (fma 1.5 t_0 (/ 6.0 (/ (+ 3.0 (sqrt 5.0)) (cos y)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00145) || !(x <= 56000000000.0)) {
tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * pow(sin(x), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(-0.0625, (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))), 2.0) / (3.0 + fma(1.5, t_0, (6.0 / ((3.0 + sqrt(5.0)) / cos(y)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00145) || !(x <= 56000000000.0)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * (sin(x) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(-0.0625, Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + fma(1.5, t_0, Float64(6.0 / Float64(Float64(3.0 + sqrt(5.0)) / cos(y)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00145], N[Not[LessEqual[x, 56000000000.0]], $MachinePrecision]], 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[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * t$95$0 + N[(6.0 / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00145 \lor \neg \left(x \leq 56000000000\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(1.5, t_0, \frac{6}{\frac{3 + \sqrt{5}}{\cos y}}\right)}\\
\end{array}
\end{array}
if x < -0.00145 or 5.6e10 < x Initial program 99.0%
Taylor expanded in y around 0 60.7%
*-commutative60.7%
*-commutative60.7%
associate-*l*60.7%
*-commutative60.7%
sub-neg60.7%
metadata-eval60.7%
Simplified60.7%
if -0.00145 < x < 5.6e10Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
fma-def99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 97.2%
+-commutative97.2%
fma-def97.2%
fma-def97.2%
sub-neg97.2%
metadata-eval97.2%
associate-*r/97.3%
+-commutative97.3%
associate-/l*97.3%
Simplified97.3%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -0.00042) (not (<= y 3.8e-8)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0))))
(+ 3.0 (fma 1.5 (* (cos x) t_0) (/ 6.0 (+ 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -0.00042) || !(y <= 3.8e-8)) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (3.0 + fma(1.5, (cos(x) * t_0), (6.0 / (3.0 + sqrt(5.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -0.00042) || !(y <= 3.8e-8)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(3.0 + fma(1.5, Float64(cos(x) * t_0), Float64(6.0 / 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[y, -0.00042], N[Not[LessEqual[y, 3.8e-8]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.00042 \lor \neg \left(y \leq 3.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{3 + \mathsf{fma}\left(1.5, \cos x \cdot t_0, \frac{6}{3 + \sqrt{5}}\right)}\\
\end{array}
\end{array}
if y < -4.2000000000000002e-4 or 3.80000000000000028e-8 < y Initial program 99.1%
Taylor expanded in x around 0 63.2%
*-commutative63.2%
Simplified63.2%
if -4.2000000000000002e-4 < y < 3.80000000000000028e-8Initial program 99.5%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around inf 99.7%
fma-def99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
associate-*r/99.7%
+-commutative99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in y around 0 98.9%
sub-neg98.9%
metadata-eval98.9%
fma-def99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
associate-*r/99.0%
metadata-eval99.0%
+-commutative99.0%
Simplified99.0%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -0.00042) (not (<= y 3.8e-8)))
(/
(+ 2.0 (* (- 1.0 (cos y)) (* -0.0625 (* (sqrt 2.0) (pow (sin y) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0))))
(+
3.0
(fma
1.5
(* (cos x) (+ (sqrt 5.0) -1.0))
(/ 6.0 (+ 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -0.00042) || !(y <= 3.8e-8)) {
tmp = (2.0 + ((1.0 - cos(y)) * (-0.0625 * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (3.0 + fma(1.5, (cos(x) * (sqrt(5.0) + -1.0)), (6.0 / (3.0 + sqrt(5.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -0.00042) || !(y <= 3.8e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(3.0 + fma(1.5, Float64(cos(x) * Float64(sqrt(5.0) + -1.0)), Float64(6.0 / Float64(3.0 + sqrt(5.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[y, -0.00042], N[Not[LessEqual[y, 3.8e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(6.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -0.00042 \lor \neg \left(y \leq 3.8 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{3 + \mathsf{fma}\left(1.5, \cos x \cdot \left(\sqrt{5} + -1\right), \frac{6}{3 + \sqrt{5}}\right)}\\
\end{array}
\end{array}
if y < -4.2000000000000002e-4 or 3.80000000000000028e-8 < y Initial program 99.1%
associate-*l*99.1%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 63.2%
Taylor expanded in x around 0 63.2%
if -4.2000000000000002e-4 < y < 3.80000000000000028e-8Initial program 99.5%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around inf 99.7%
fma-def99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
associate-*r/99.7%
+-commutative99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in y around 0 98.9%
sub-neg98.9%
metadata-eval98.9%
fma-def99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
associate-*r/99.0%
metadata-eval99.0%
+-commutative99.0%
Simplified99.0%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00145) (not (<= x 56000000000.0)))
(/
(+ 2.0 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (* -0.0625 (pow (sin x) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00145) || !(x <= 56000000000.0)) {
tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * pow(sin(x), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-0.00145d0)) .or. (.not. (x <= 56000000000.0d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * ((-0.0625d0) * (sin(x) ** 2.0d0)))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_0 / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + ((6.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (1.5d0 * t_0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00145) || !(x <= 56000000000.0)) {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (-0.0625 * Math.pow(Math.sin(x), 2.0)))) / (3.0 * ((1.0 + (Math.cos(x) * (t_0 / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + ((6.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) + -1.0 tmp = 0 if (x <= -0.00145) or not (x <= 56000000000.0): tmp = (2.0 + ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (-0.0625 * math.pow(math.sin(x), 2.0)))) / (3.0 * ((1.0 + (math.cos(x) * (t_0 / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + ((6.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (1.5 * t_0))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00145) || !(x <= 56000000000.0)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(-0.0625 * (sin(x) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) + -1.0; tmp = 0.0; if ((x <= -0.00145) || ~((x <= 56000000000.0))) tmp = (2.0 + ((sqrt(2.0) * (cos(x) + -1.0)) * (-0.0625 * (sin(x) ^ 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00145], N[Not[LessEqual[x, 56000000000.0]], $MachinePrecision]], 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[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00145 \lor \neg \left(x \leq 56000000000\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t_0\right)}\\
\end{array}
\end{array}
if x < -0.00145 or 5.6e10 < x Initial program 99.0%
Taylor expanded in y around 0 60.7%
*-commutative60.7%
*-commutative60.7%
associate-*l*60.7%
*-commutative60.7%
sub-neg60.7%
metadata-eval60.7%
Simplified60.7%
if -0.00145 < x < 5.6e10Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
fma-def99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 97.2%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0)))))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (* (cos x) t_2)))
(if (<= x -0.00145)
(/ t_1 (+ 3.0 (+ (* 1.5 t_3) (* 6.0 (/ 1.0 t_0)))))
(if (<= x 0.0102)
(/
(+
2.0
(* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (+ (* 6.0 (/ (cos y) t_0)) (* 1.5 t_2))))
(/ t_1 (+ 3.0 (fma 1.5 t_3 (/ 6.0 t_0))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)));
double t_2 = sqrt(5.0) + -1.0;
double t_3 = cos(x) * t_2;
double tmp;
if (x <= -0.00145) {
tmp = t_1 / (3.0 + ((1.5 * t_3) + (6.0 * (1.0 / t_0))));
} else if (x <= 0.0102) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / t_0)) + (1.5 * t_2)));
} else {
tmp = t_1 / (3.0 + fma(1.5, t_3, (6.0 / t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(cos(x) * t_2) tmp = 0.0 if (x <= -0.00145) tmp = Float64(t_1 / Float64(3.0 + Float64(Float64(1.5 * t_3) + Float64(6.0 * Float64(1.0 / t_0))))); elseif (x <= 0.0102) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / t_0)) + Float64(1.5 * t_2)))); else tmp = Float64(t_1 / Float64(3.0 + fma(1.5, t_3, Float64(6.0 / t_0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]}, If[LessEqual[x, -0.00145], N[(t$95$1 / N[(3.0 + N[(N[(1.5 * t$95$3), $MachinePrecision] + N[(6.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0102], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(1.5 * t$95$3 + N[(6.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)\\
t_2 := \sqrt{5} + -1\\
t_3 := \cos x \cdot t_2\\
\mathbf{if}\;x \leq -0.00145:\\
\;\;\;\;\frac{t_1}{3 + \left(1.5 \cdot t_3 + 6 \cdot \frac{1}{t_0}\right)}\\
\mathbf{elif}\;x \leq 0.0102:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{t_0} + 1.5 \cdot t_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + \mathsf{fma}\left(1.5, t_3, \frac{6}{t_0}\right)}\\
\end{array}
\end{array}
if x < -0.00145Initial program 99.2%
Simplified99.2%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.2%
fma-def99.1%
sub-neg99.1%
metadata-eval99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around 0 58.6%
if -0.00145 < x < 0.010200000000000001Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
fma-def99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 97.8%
if 0.010200000000000001 < x Initial program 98.9%
Simplified99.0%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.1%
fma-def99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in x around inf 99.1%
fma-def99.2%
*-commutative99.2%
sub-neg99.2%
metadata-eval99.2%
associate-*r/99.2%
+-commutative99.2%
associate-/l*99.2%
Simplified99.2%
Taylor expanded in y around 0 60.3%
sub-neg60.3%
metadata-eval60.3%
fma-def60.4%
*-commutative60.4%
sub-neg60.4%
metadata-eval60.4%
associate-*r/60.4%
metadata-eval60.4%
+-commutative60.4%
Simplified60.4%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00145) (not (<= x 0.0102)))
(/
(+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0))))
(+ 3.0 (+ (* 1.5 (* (cos x) t_1)) (* 6.0 (/ 1.0 t_0)))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (+ (* 6.0 (/ (cos y) t_0)) (* 1.5 t_1)))))))
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 ((x <= -0.00145) || !(x <= 0.0102)) {
tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (3.0 + ((1.5 * (cos(x) * t_1)) + (6.0 * (1.0 / t_0))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / t_0)) + (1.5 * t_1)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 3.0d0 + sqrt(5.0d0)
t_1 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-0.00145d0)) .or. (.not. (x <= 0.0102d0))) then
tmp = (2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (sin(x) ** 2.0d0)))) / (3.0d0 + ((1.5d0 * (cos(x) * t_1)) + (6.0d0 * (1.0d0 / t_0))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + ((6.0d0 * (cos(y) / t_0)) + (1.5d0 * t_1)))
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 ((x <= -0.00145) || !(x <= 0.0102)) {
tmp = (2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * Math.pow(Math.sin(x), 2.0)))) / (3.0 + ((1.5 * (Math.cos(x) * t_1)) + (6.0 * (1.0 / t_0))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + ((6.0 * (Math.cos(y) / t_0)) + (1.5 * t_1)));
}
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 (x <= -0.00145) or not (x <= 0.0102): tmp = (2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * math.pow(math.sin(x), 2.0)))) / (3.0 + ((1.5 * (math.cos(x) * t_1)) + (6.0 * (1.0 / t_0)))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + ((6.0 * (math.cos(y) / t_0)) + (1.5 * t_1))) 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 ((x <= -0.00145) || !(x <= 0.0102)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_1)) + Float64(6.0 * Float64(1.0 / t_0))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / t_0)) + Float64(1.5 * t_1)))); 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 ((x <= -0.00145) || ~((x <= 0.0102))) tmp = (2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / (3.0 + ((1.5 * (cos(x) * t_1)) + (6.0 * (1.0 / t_0)))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / t_0)) + (1.5 * t_1))); 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[x, -0.00145], N[Not[LessEqual[x, 0.0102]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00145 \lor \neg \left(x \leq 0.0102\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot t_1\right) + 6 \cdot \frac{1}{t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{t_0} + 1.5 \cdot t_1\right)}\\
\end{array}
\end{array}
if x < -0.00145 or 0.010200000000000001 < x Initial program 99.0%
Simplified99.1%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around inf 99.1%
fma-def99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
Simplified99.2%
Taylor expanded in y around 0 59.5%
if -0.00145 < x < 0.010200000000000001Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
fma-def99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 97.8%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00145) (not (<= x 0.0102)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0))))
(+ 2.5 (* 0.5 (- (* (cos x) t_0) (sqrt 5.0))))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (+ (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* 1.5 t_0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00145) || !(x <= 0.0102)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (2.5 + (0.5 * ((cos(x) * t_0) - sqrt(5.0)))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-0.00145d0)) .or. (.not. (x <= 0.0102d0))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (sin(x) ** 2.0d0)))) / (2.5d0 + (0.5d0 * ((cos(x) * t_0) - sqrt(5.0d0)))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + ((6.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (1.5d0 * t_0)))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00145) || !(x <= 0.0102)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * Math.pow(Math.sin(x), 2.0)))) / (2.5 + (0.5 * ((Math.cos(x) * t_0) - Math.sqrt(5.0)))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + ((6.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (1.5 * t_0)));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) + -1.0 tmp = 0 if (x <= -0.00145) or not (x <= 0.0102): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * math.pow(math.sin(x), 2.0)))) / (2.5 + (0.5 * ((math.cos(x) * t_0) - math.sqrt(5.0))))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + ((6.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (1.5 * t_0))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00145) || !(x <= 0.0102)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(2.5 + Float64(0.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(1.5 * t_0)))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) + -1.0; tmp = 0.0; if ((x <= -0.00145) || ~((x <= 0.0102))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / (2.5 + (0.5 * ((cos(x) * t_0) - sqrt(5.0))))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (1.5 * t_0))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00145], N[Not[LessEqual[x, 0.0102]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.5 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00145 \lor \neg \left(x \leq 0.0102\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{2.5 + 0.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + 1.5 \cdot t_0\right)}\\
\end{array}
\end{array}
if x < -0.00145 or 0.010200000000000001 < x Initial program 99.0%
Simplified98.9%
Taylor expanded in y around 0 59.4%
associate--l+59.4%
sub-neg59.4%
metadata-eval59.4%
associate-*r*59.4%
*-commutative59.4%
Applied egg-rr59.4%
metadata-eval59.4%
sub-neg59.4%
associate-*l*59.4%
sub-neg59.4%
metadata-eval59.4%
*-commutative59.4%
distribute-lft-out--59.4%
Simplified59.4%
if -0.00145 < x < 0.010200000000000001Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.6%
fma-def99.6%
sub-neg99.6%
metadata-eval99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in x around 0 97.8%
Final simplification79.9%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0)))) (+ 2.5 (* 0.5 (- (* (cos x) (+ (sqrt 5.0) -1.0)) (sqrt 5.0)))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (2.5 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) - sqrt(5.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (sin(x) ** 2.0d0)))) / (2.5d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) - sqrt(5.0d0)))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * Math.pow(Math.sin(x), 2.0)))) / (2.5 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) - Math.sqrt(5.0)))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * math.pow(math.sin(x), 2.0)))) / (2.5 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) - math.sqrt(5.0)))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(2.5 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) - sqrt(5.0)))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / (2.5 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) - sqrt(5.0))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.5 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{2.5 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) - \sqrt{5}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around 0 59.5%
associate--l+59.5%
sub-neg59.5%
metadata-eval59.5%
associate-*r*59.5%
*-commutative59.5%
Applied egg-rr59.5%
metadata-eval59.5%
sub-neg59.5%
associate-*l*59.5%
sub-neg59.5%
metadata-eval59.5%
*-commutative59.5%
distribute-lft-out--59.5%
Simplified59.5%
Final simplification59.5%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (pow (sin x) 2.0)))) (+ 2.5 (* 0.5 (- (+ (sqrt 5.0) -1.0) (sqrt 5.0)))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * pow(sin(x), 2.0)))) / (2.5 + (0.5 * ((sqrt(5.0) + -1.0) - sqrt(5.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (sin(x) ** 2.0d0)))) / (2.5d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) - sqrt(5.0d0)))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * Math.pow(Math.sin(x), 2.0)))) / (2.5 + (0.5 * ((Math.sqrt(5.0) + -1.0) - Math.sqrt(5.0)))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * math.pow(math.sin(x), 2.0)))) / (2.5 + (0.5 * ((math.sqrt(5.0) + -1.0) - math.sqrt(5.0)))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / Float64(2.5 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) - sqrt(5.0)))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (sin(x) ^ 2.0)))) / (2.5 + (0.5 * ((sqrt(5.0) + -1.0) - sqrt(5.0))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.5 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot {\sin x}^{2}\right)}{2.5 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) - \sqrt{5}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around 0 59.5%
Taylor expanded in x around 0 41.9%
associate--l+41.9%
distribute-lft-out--41.9%
sub-neg41.9%
metadata-eval41.9%
Simplified41.9%
Final simplification41.9%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (+ 2.5 (* 0.5 (- (+ (sqrt 5.0) -1.0) (sqrt 5.0))))))
double code(double x, double y) {
return 0.6666666666666666 / (2.5 + (0.5 * ((sqrt(5.0) + -1.0) - sqrt(5.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.6666666666666666d0 / (2.5d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) - sqrt(5.0d0))))
end function
public static double code(double x, double y) {
return 0.6666666666666666 / (2.5 + (0.5 * ((Math.sqrt(5.0) + -1.0) - Math.sqrt(5.0))));
}
def code(x, y): return 0.6666666666666666 / (2.5 + (0.5 * ((math.sqrt(5.0) + -1.0) - math.sqrt(5.0))))
function code(x, y) return Float64(0.6666666666666666 / Float64(2.5 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) - sqrt(5.0))))) end
function tmp = code(x, y) tmp = 0.6666666666666666 / (2.5 + (0.5 * ((sqrt(5.0) + -1.0) - sqrt(5.0)))); end
code[x_, y_] := N[(0.6666666666666666 / N[(2.5 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{2.5 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) - \sqrt{5}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around 0 59.5%
Taylor expanded in x around 0 41.8%
associate--l+41.8%
distribute-lft-out--41.8%
sub-neg41.8%
metadata-eval41.8%
Simplified41.8%
Final simplification41.8%
herbie shell --seed 2023320
(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))))))