
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 22 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (log (exp (- (cos x) (cos y))))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * log(exp((cos(x) - cos(y)))))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + ((-0.0625d0) * sin(y))) * ((sin(y) + (sin(x) * (-0.0625d0))) * log(exp((cos(x) - cos(y)))))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * ((Math.sin(y) + (Math.sin(x) * -0.0625)) * Math.log(Math.exp((Math.cos(x) - Math.cos(y)))))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(x) + (-0.0625 * math.sin(y))) * ((math.sin(y) + (math.sin(x) * -0.0625)) * math.log(math.exp((math.cos(x) - math.cos(y)))))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * log(exp(Float64(cos(x) - cos(y)))))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * log(exp((cos(x) - cos(y)))))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Log[N[Exp[N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \log \left(e^{\cos x - \cos y}\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Taylor expanded in y around inf 99.4%
add-log-exp99.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (+ (sin x) (* -0.0625 (sin y))) (- (cos x) (cos y))))
2.0)
(+
3.0
(*
1.5
(+
(* (cos x) (+ (sqrt 5.0) -1.0))
(* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((sin(x) + (-0.0625 * sin(y))) * (cos(x) - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (4.0 / (3.0 + sqrt(5.0)))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0)))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $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[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \frac{4}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+
2.0
(*
(* (sqrt 2.0) (- (cos x) (cos y)))
(* (+ (sin x) (* -0.0625 (sin y))) (- (sin y) (* (sin x) 0.0625)))))
(+
1.0
(*
0.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + ((sqrt(2.0) * (cos(x) - cos(y))) * ((sin(x) + (-0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((sqrt(2.0d0) * (cos(x) - cos(y))) * ((sin(x) + ((-0.0625d0) * sin(y))) * (sin(y) - (sin(x) * 0.0625d0))))) / (1.0d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (cos(y) * (3.0d0 - sqrt(5.0d0)))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + ((Math.sqrt(2.0) * (Math.cos(x) - Math.cos(y))) * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * (Math.sin(y) - (Math.sin(x) * 0.0625))))) / (1.0 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (Math.cos(y) * (3.0 - Math.sqrt(5.0)))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + ((math.sqrt(2.0) * (math.cos(x) - math.cos(y))) * ((math.sin(x) + (-0.0625 * math.sin(y))) * (math.sin(y) - (math.sin(x) * 0.0625))))) / (1.0 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (math.cos(y) * (3.0 - math.sqrt(5.0)))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) - cos(y))) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(sin(y) - Float64(sin(x) * 0.0625))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + ((sqrt(2.0) * (cos(x) - cos(y))) * ((sin(x) + (-0.0625 * sin(y))) * (sin(y) - (sin(x) * 0.0625))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0))))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + \left(\sqrt{2} \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)}{1 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf 99.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- (cos x) (cos y))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + ((-0.0625d0) * sin(y))) * ((sin(y) + (sin(x) * (-0.0625d0))) * (cos(x) - cos(y)))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * ((Math.sin(y) + (Math.sin(x) * -0.0625)) * (Math.cos(x) - Math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(x) + (-0.0625 * math.sin(y))) * ((math.sin(y) + (math.sin(x) * -0.0625)) * (math.cos(x) - math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(cos(x) - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.2%
metadata-eval99.2%
pow1/299.2%
pow1/299.2%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
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 -0.054) (not (<= x 0.022)))
(/ (+ 2.0 (* t_2 (* (* (sqrt 2.0) (sin x)) t_0))) t_1)
(/
(+ 2.0 (* t_2 (* t_0 (* (sqrt 2.0) (+ x (* -0.0625 (sin y)))))))
t_1))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = cos(x) - cos(y);
double tmp;
if ((x <= -0.054) || !(x <= 0.022)) {
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 + (-0.0625 * sin(y))))))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: 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 <= (-0.054d0)) .or. (.not. (x <= 0.022d0))) 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 + ((-0.0625d0) * sin(y))))))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double t_2 = Math.cos(x) - Math.cos(y);
double tmp;
if ((x <= -0.054) || !(x <= 0.022)) {
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 + (-0.0625 * Math.sin(y))))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) t_2 = math.cos(x) - math.cos(y) tmp = 0 if (x <= -0.054) or not (x <= 0.022): 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 + (-0.0625 * math.sin(y))))))) / t_1 return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_2 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -0.054) || !(x <= 0.022)) 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(-0.0625 * sin(y))))))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); t_2 = cos(x) - cos(y); tmp = 0.0; if ((x <= -0.054) || ~((x <= 0.022))) 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 + (-0.0625 * sin(y))))))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.054], N[Not[LessEqual[x, 0.022]], $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[(-0.0625 * N[Sin[y], $MachinePrecision]), $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 -0.054 \lor \neg \left(x \leq 0.022\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 + -0.0625 \cdot \sin y\right)\right)\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.0539999999999999994 or 0.021999999999999999 < x Initial program 99.0%
Taylor expanded in y around 0 65.4%
if -0.0539999999999999994 < x < 0.021999999999999999Initial program 99.5%
Taylor expanded in x around 0 99.4%
+-commutative99.4%
associate-*r*99.4%
metadata-eval99.4%
distribute-rgt-out99.4%
metadata-eval99.4%
Simplified99.4%
Final simplification82.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.0027) (not (<= x 0.0023)))
(/
(+
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) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))))
(+
3.0
(* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* (cos x) t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.0027) || !(x <= 0.0023)) {
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) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * 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 <= (-0.0027d0)) .or. (.not. (x <= 0.0023d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * sin(x)) * (sin(y) - (sin(x) / 16.0d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_0 / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + ((-0.0625d0) * sin(y))) * ((sin(y) + (sin(x) * (-0.0625d0))) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * 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 <= -0.0027) || !(x <= 0.0023)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * Math.sin(x)) * (Math.sin(y) - (Math.sin(x) / 16.0))))) / (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 + (Math.sqrt(2.0) * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * ((Math.sin(y) + (Math.sin(x) * -0.0625)) * (1.0 - Math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * t_0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) + -1.0 tmp = 0 if (x <= -0.0027) or not (x <= 0.0023): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * math.sin(x)) * (math.sin(y) - (math.sin(x) / 16.0))))) / (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 + (math.sqrt(2.0) * ((math.sin(x) + (-0.0625 * math.sin(y))) * ((math.sin(y) + (math.sin(x) * -0.0625)) * (1.0 - math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * t_0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.0027) || !(x <= 0.0023)) 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(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * t_0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) + -1.0; tmp = 0.0; if ((x <= -0.0027) || ~((x <= 0.0023))) 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) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * 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, -0.0027], N[Not[LessEqual[x, 0.0023]], $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[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.0027 \lor \neg \left(x \leq 0.0023\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{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot t_0\right)}\\
\end{array}
\end{array}
if x < -0.0027000000000000001 or 0.0023 < x Initial program 99.0%
Taylor expanded in y around 0 65.6%
if -0.0027000000000000001 < x < 0.0023Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 99.3%
Final simplification82.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (or (<= x -0.0024) (not (<= x 0.00175)))
(/ (+ 2.0 (* (- (cos x) (cos y)) (* (* (sqrt 2.0) (sin x)) t_0))) t_1)
(/
(+
2.0
(* (* t_0 (* (sqrt 2.0) (+ x (* -0.0625 (sin y))))) (- 1.0 (cos y))))
t_1))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.0024) || !(x <= 0.00175)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * t_0))) / t_1;
} else {
tmp = (2.0 + ((t_0 * (sqrt(2.0) * (x + (-0.0625 * sin(y))))) * (1.0 - cos(y)))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sin(y) - (sin(x) / 16.0d0)
t_1 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
if ((x <= (-0.0024d0)) .or. (.not. (x <= 0.00175d0))) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sqrt(2.0d0) * sin(x)) * t_0))) / t_1
else
tmp = (2.0d0 + ((t_0 * (sqrt(2.0d0) * (x + ((-0.0625d0) * sin(y))))) * (1.0d0 - cos(y)))) / t_1
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sin(y) - (Math.sin(x) / 16.0);
double t_1 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if ((x <= -0.0024) || !(x <= 0.00175)) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * ((Math.sqrt(2.0) * Math.sin(x)) * t_0))) / t_1;
} else {
tmp = (2.0 + ((t_0 * (Math.sqrt(2.0) * (x + (-0.0625 * Math.sin(y))))) * (1.0 - Math.cos(y)))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sin(y) - (math.sin(x) / 16.0) t_1 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) tmp = 0 if (x <= -0.0024) or not (x <= 0.00175): tmp = (2.0 + ((math.cos(x) - math.cos(y)) * ((math.sqrt(2.0) * math.sin(x)) * t_0))) / t_1 else: tmp = (2.0 + ((t_0 * (math.sqrt(2.0) * (x + (-0.0625 * math.sin(y))))) * (1.0 - math.cos(y)))) / t_1 return tmp
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if ((x <= -0.0024) || !(x <= 0.00175)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * t_0))) / t_1); else tmp = Float64(Float64(2.0 + Float64(Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(-0.0625 * sin(y))))) * Float64(1.0 - cos(y)))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sin(y) - (sin(x) / 16.0); t_1 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); tmp = 0.0; if ((x <= -0.0024) || ~((x <= 0.00175))) tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * t_0))) / t_1; else tmp = (2.0 + ((t_0 * (sqrt(2.0) * (x + (-0.0625 * sin(y))))) * (1.0 - cos(y)))) / t_1; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0024], N[Not[LessEqual[x, 0.00175]], $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] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;x \leq -0.0024 \lor \neg \left(x \leq 0.00175\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot t_0\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(t_0 \cdot \left(\sqrt{2} \cdot \left(x + -0.0625 \cdot \sin y\right)\right)\right) \cdot \left(1 - \cos y\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.00239999999999999979 or 0.00175000000000000004 < x Initial program 99.0%
Taylor expanded in y around 0 65.6%
if -0.00239999999999999979 < x < 0.00175000000000000004Initial program 99.6%
Taylor expanded in x around 0 99.4%
+-commutative99.4%
associate-*r*99.4%
metadata-eval99.4%
distribute-rgt-out99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around 0 99.2%
Final simplification82.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (<= x -0.0048)
(/
(+
2.0
(* (sqrt 2.0) (* (pow (sin x) 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
(+
3.0
(* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* (cos x) t_0)))))
(if (<= x 0.0029)
(/
(+
2.0
(* (* t_2 (* (sqrt 2.0) (+ x (* -0.0625 (sin y))))) (- 1.0 (cos y))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
t_2
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) (+ (cos x) -1.0))
2.0)
(* 3.0 (- (+ 2.5 (* (cos x) (- t_1 0.5))) t_1)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sqrt(5.0) * 0.5;
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if (x <= -0.0048) {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(x), 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * t_0))));
} else if (x <= 0.0029) {
tmp = (2.0 + ((t_2 * (sqrt(2.0) * (x + (-0.0625 * sin(y))))) * (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 = fma(t_2, ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (cos(x) + -1.0)), 2.0) / (3.0 * ((2.5 + (cos(x) * (t_1 - 0.5))) - t_1));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if (x <= -0.0048) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * t_0))))); elseif (x <= 0.0029) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * Float64(sqrt(2.0) * Float64(x + Float64(-0.0625 * sin(y))))) * 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(fma(t_2, Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(cos(x) + -1.0)), 2.0) / Float64(3.0 * Float64(Float64(2.5 + Float64(cos(x) * Float64(t_1 - 0.5))) - 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[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0048], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0029], N[(N[(2.0 + N[(N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(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[(t$95$2 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.0048:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot t_0\right)}\\
\mathbf{elif}\;x \leq 0.0029:\\
\;\;\;\;\frac{2 + \left(t_2 \cdot \left(\sqrt{2} \cdot \left(x + -0.0625 \cdot \sin y\right)\right)\right) \cdot \left(1 - \cos y\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(t_2, \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\cos x + -1\right), 2\right)}{3 \cdot \left(\left(2.5 + \cos x \cdot \left(t_1 - 0.5\right)\right) - t_1\right)}\\
\end{array}
\end{array}
if x < -0.00479999999999999958Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around inf 98.9%
Taylor expanded in y around 0 61.5%
*-commutative61.5%
sub-neg61.5%
metadata-eval61.5%
associate-*l*61.5%
*-commutative61.5%
distribute-lft-in61.5%
metadata-eval61.5%
Simplified61.5%
if -0.00479999999999999958 < x < 0.0029Initial program 99.6%
Taylor expanded in x around 0 99.4%
+-commutative99.4%
associate-*r*99.4%
metadata-eval99.4%
distribute-rgt-out99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around 0 99.2%
if 0.0029 < x Initial program 99.1%
Simplified99.1%
Taylor expanded in y around 0 63.4%
Taylor expanded in y around 0 63.7%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (<= x -0.0018)
(/
(+
2.0
(* (sqrt 2.0) (* (pow (sin x) 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
(+
3.0
(* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) (* (cos x) t_0)))))
(if (<= x 0.0045)
(/
(+
2.0
(* (* t_2 (* (sqrt 2.0) (+ x (* -0.0625 (sin y))))) (- 1.0 (cos y))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma t_2 (* (sin x) (* (sqrt 2.0) (+ (cos x) -1.0))) 2.0)
(* 3.0 (- (+ 2.5 (* (cos x) (- t_1 0.5))) t_1)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sqrt(5.0) * 0.5;
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if (x <= -0.0018) {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(x), 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * t_0))));
} else if (x <= 0.0045) {
tmp = (2.0 + ((t_2 * (sqrt(2.0) * (x + (-0.0625 * sin(y))))) * (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 = fma(t_2, (sin(x) * (sqrt(2.0) * (cos(x) + -1.0))), 2.0) / (3.0 * ((2.5 + (cos(x) * (t_1 - 0.5))) - t_1));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if (x <= -0.0018) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * t_0))))); elseif (x <= 0.0045) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * Float64(sqrt(2.0) * Float64(x + Float64(-0.0625 * sin(y))))) * 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(fma(t_2, Float64(sin(x) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 * Float64(Float64(2.5 + Float64(cos(x) * Float64(t_1 - 0.5))) - 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[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0018], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0045], N[(N[(2.0 + N[(N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(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[(t$95$2 * N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.0018:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot t_0\right)}\\
\mathbf{elif}\;x \leq 0.0045:\\
\;\;\;\;\frac{2 + \left(t_2 \cdot \left(\sqrt{2} \cdot \left(x + -0.0625 \cdot \sin y\right)\right)\right) \cdot \left(1 - \cos y\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(t_2, \sin x \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 \cdot \left(\left(2.5 + \cos x \cdot \left(t_1 - 0.5\right)\right) - t_1\right)}\\
\end{array}
\end{array}
if x < -0.0018Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around inf 98.9%
Taylor expanded in y around 0 61.5%
*-commutative61.5%
sub-neg61.5%
metadata-eval61.5%
associate-*l*61.5%
*-commutative61.5%
distribute-lft-in61.5%
metadata-eval61.5%
Simplified61.5%
if -0.0018 < x < 0.00449999999999999966Initial program 99.6%
Taylor expanded in x around 0 99.4%
+-commutative99.4%
associate-*r*99.4%
metadata-eval99.4%
distribute-rgt-out99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around 0 99.2%
if 0.00449999999999999966 < x Initial program 99.1%
Simplified99.1%
Taylor expanded in y around 0 63.4%
Taylor expanded in y around 0 63.4%
Final simplification81.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1 (* (sqrt 5.0) 0.5))
(t_2 (+ 3.0 (sqrt 5.0))))
(if (<= x -1650000.0)
(/
(+
2.0
(* (sqrt 2.0) (* (pow (sin x) 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
(+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) t_2)) t_0))))
(if (<= x 0.0007)
(/
(fma (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y)))) 2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (/ 4.0 t_2))))))
(/
(fma
(- (sin y) (/ (sin x) 16.0))
(* (sin x) (* (sqrt 2.0) (+ (cos x) -1.0)))
2.0)
(* 3.0 (- (+ 2.5 (* (cos x) (- t_1 0.5))) t_1)))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = sqrt(5.0) * 0.5;
double t_2 = 3.0 + sqrt(5.0);
double tmp;
if (x <= -1650000.0) {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(x), 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / t_2)) + t_0)));
} else if (x <= 0.0007) {
tmp = fma(sqrt(2.0), (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (4.0 / t_2)))));
} else {
tmp = fma((sin(y) - (sin(x) / 16.0)), (sin(x) * (sqrt(2.0) * (cos(x) + -1.0))), 2.0) / (3.0 * ((2.5 + (cos(x) * (t_1 - 0.5))) - t_1));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if (x <= -1650000.0) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / t_2)) + t_0)))); elseif (x <= 0.0007) tmp = Float64(fma(sqrt(2.0), Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(4.0 / t_2)))))); else tmp = Float64(fma(Float64(sin(y) - Float64(sin(x) / 16.0)), Float64(sin(x) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 * Float64(Float64(2.5 + Float64(cos(x) * Float64(t_1 - 0.5))) - t_1))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1650000.0], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0007], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -1650000:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{t_2} + t_0\right)}\\
\mathbf{elif}\;x \leq 0.0007:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot \frac{4}{t_2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sin y - \frac{\sin x}{16}, \sin x \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 \cdot \left(\left(2.5 + \cos x \cdot \left(t_1 - 0.5\right)\right) - t_1\right)}\\
\end{array}
\end{array}
if x < -1.65e6Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around inf 98.9%
Taylor expanded in y around 0 62.7%
*-commutative62.7%
sub-neg62.7%
metadata-eval62.7%
associate-*l*62.7%
*-commutative62.7%
distribute-lft-in62.7%
metadata-eval62.7%
Simplified62.7%
if -1.65e6 < x < 6.99999999999999993e-4Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 97.4%
*-commutative97.4%
associate-*l*97.4%
*-commutative97.4%
Simplified97.4%
if 6.99999999999999993e-4 < x Initial program 99.1%
Simplified99.1%
Taylor expanded in y around 0 63.4%
Taylor expanded in y around 0 63.4%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1 (pow (sin x) 2.0))
(t_2 (+ 3.0 (sqrt 5.0))))
(if (<= x -1650000.0)
(/
(+ 2.0 (* (sqrt 2.0) (* t_1 (+ 0.0625 (* -0.0625 (cos x))))))
(+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) t_2)) t_0))))
(if (<= x 0.00088)
(/
(fma (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y)))) 2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (/ 4.0 t_2))))))
(/
(fma (sqrt 2.0) (* (* -0.0625 t_1) (+ (cos x) -1.0)) 2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (- 3.0 (sqrt 5.0)))))))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = pow(sin(x), 2.0);
double t_2 = 3.0 + sqrt(5.0);
double tmp;
if (x <= -1650000.0) {
tmp = (2.0 + (sqrt(2.0) * (t_1 * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / t_2)) + t_0)));
} else if (x <= 0.00088) {
tmp = fma(sqrt(2.0), (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (4.0 / t_2)))));
} else {
tmp = fma(sqrt(2.0), ((-0.0625 * t_1) * (cos(x) + -1.0)), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (3.0 - sqrt(5.0))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = sin(x) ^ 2.0 t_2 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if (x <= -1650000.0) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(t_1 * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / t_2)) + t_0)))); elseif (x <= 0.00088) tmp = Float64(fma(sqrt(2.0), Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(4.0 / t_2)))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(-0.0625 * t_1) * Float64(cos(x) + -1.0)), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1650000.0], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00088], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * t$95$1), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := {\sin x}^{2}\\
t_2 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -1650000:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(t_1 \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{t_2} + t_0\right)}\\
\mathbf{elif}\;x \leq 0.00088:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot \frac{4}{t_2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(-0.0625 \cdot t_1\right) \cdot \left(\cos x + -1\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if x < -1.65e6Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around inf 98.9%
Taylor expanded in y around 0 62.7%
*-commutative62.7%
sub-neg62.7%
metadata-eval62.7%
associate-*l*62.7%
*-commutative62.7%
distribute-lft-in62.7%
metadata-eval62.7%
Simplified62.7%
if -1.65e6 < x < 8.80000000000000031e-4Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 97.4%
*-commutative97.4%
associate-*l*97.4%
*-commutative97.4%
Simplified97.4%
if 8.80000000000000031e-4 < x Initial program 99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 63.2%
sub-neg63.2%
metadata-eval63.2%
associate-*r*63.2%
Simplified63.2%
Final simplification80.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1 (+ 3.0 (* 1.5 (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) t_0))))
(t_2 (pow (sin x) 2.0)))
(if (<= x -1650000.0)
(/ (+ 2.0 (* (sqrt 2.0) (* t_2 (+ 0.0625 (* -0.0625 (cos x)))))) t_1)
(if (<= x 0.00075)
(/
(+
2.0
(* (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y))))))
t_1)
(/
(fma (sqrt 2.0) (* (* -0.0625 t_2) (+ (cos x) -1.0)) 2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (- 3.0 (sqrt 5.0)))))))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + t_0));
double t_2 = pow(sin(x), 2.0);
double tmp;
if (x <= -1650000.0) {
tmp = (2.0 + (sqrt(2.0) * (t_2 * (0.0625 + (-0.0625 * cos(x)))))) / t_1;
} else if (x <= 0.00075) {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))))) / t_1;
} else {
tmp = fma(sqrt(2.0), ((-0.0625 * t_2) * (cos(x) + -1.0)), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (3.0 - sqrt(5.0))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + t_0))) t_2 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -1650000.0) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(t_2 * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / t_1); elseif (x <= 0.00075) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))))) / t_1); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(-0.0625 * t_2) * Float64(cos(x) + -1.0)), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -1650000.0], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$2 * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[x, 0.00075], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * t$95$2), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + t_0\right)\\
t_2 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -1650000:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(t_2 \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{t_1}\\
\mathbf{elif}\;x \leq 0.00075:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right)\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(-0.0625 \cdot t_2\right) \cdot \left(\cos x + -1\right), 2\right)}{3 + 1.5 \cdot \left(t_0 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if x < -1.65e6Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around inf 98.9%
Taylor expanded in y around 0 62.7%
*-commutative62.7%
sub-neg62.7%
metadata-eval62.7%
associate-*l*62.7%
*-commutative62.7%
distribute-lft-in62.7%
metadata-eval62.7%
Simplified62.7%
if -1.65e6 < x < 7.5000000000000002e-4Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 97.4%
*-commutative97.4%
associate-*l*97.4%
*-commutative97.4%
Simplified97.4%
if 7.5000000000000002e-4 < x Initial program 99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around 0 63.2%
sub-neg63.2%
metadata-eval63.2%
associate-*r*63.2%
Simplified63.2%
Final simplification80.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))
(if (or (<= x -0.00038) (not (<= x 3.1e-6)))
(/
(+
2.0
(* (sqrt 2.0) (* (pow (sin x) 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
(+ 3.0 (* 1.5 (+ t_0 (* (cos x) (+ (sqrt 5.0) -1.0))))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ t_0 -1.0))))))))
double code(double x, double y) {
double t_0 = 4.0 * (cos(y) / (3.0 + sqrt(5.0)));
double tmp;
if ((x <= -0.00038) || !(x <= 3.1e-6)) {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(x), 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 + (1.5 * (t_0 + (cos(x) * (sqrt(5.0) + -1.0)))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + (t_0 + -1.0))));
}
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 = 4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))
if ((x <= (-0.00038d0)) .or. (.not. (x <= 3.1d-6))) then
tmp = (2.0d0 + (sqrt(2.0d0) * ((sin(x) ** 2.0d0) * (0.0625d0 + ((-0.0625d0) * cos(x)))))) / (3.0d0 + (1.5d0 * (t_0 + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + (t_0 + (-1.0d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)));
double tmp;
if ((x <= -0.00038) || !(x <= 3.1e-6)) {
tmp = (2.0 + (Math.sqrt(2.0) * (Math.pow(Math.sin(x), 2.0) * (0.0625 + (-0.0625 * Math.cos(x)))))) / (3.0 + (1.5 * (t_0 + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + (1.5 * (Math.sqrt(5.0) + (t_0 + -1.0))));
}
return tmp;
}
def code(x, y): t_0 = 4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0))) tmp = 0 if (x <= -0.00038) or not (x <= 3.1e-6): tmp = (2.0 + (math.sqrt(2.0) * (math.pow(math.sin(x), 2.0) * (0.0625 + (-0.0625 * math.cos(x)))))) / (3.0 + (1.5 * (t_0 + (math.cos(x) * (math.sqrt(5.0) + -1.0))))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + (1.5 * (math.sqrt(5.0) + (t_0 + -1.0)))) return tmp
function code(x, y) t_0 = Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) tmp = 0.0 if ((x <= -0.00038) || !(x <= 3.1e-6)) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); 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(1.5 * Float64(sqrt(5.0) + Float64(t_0 + -1.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 4.0 * (cos(y) / (3.0 + sqrt(5.0))); tmp = 0.0; if ((x <= -0.00038) || ~((x <= 3.1e-6))) tmp = (2.0 + (sqrt(2.0) * ((sin(x) ^ 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / (3.0 + (1.5 * (t_0 + (cos(x) * (sqrt(5.0) + -1.0))))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + (t_0 + -1.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00038], N[Not[LessEqual[x, 3.1e-6]], $MachinePrecision]], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $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[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 4 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
\mathbf{if}\;x \leq -0.00038 \lor \neg \left(x \leq 3.1 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{3 + 1.5 \cdot \left(t_0 + \cos x \cdot \left(\sqrt{5} + -1\right)\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 + 1.5 \cdot \left(\sqrt{5} + \left(t_0 + -1\right)\right)}\\
\end{array}
\end{array}
if x < -3.8000000000000002e-4 or 3.1e-6 < x Initial program 99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
flip--98.9%
metadata-eval98.9%
pow1/298.9%
pow1/298.9%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 62.3%
*-commutative62.3%
sub-neg62.3%
metadata-eval62.3%
associate-*l*62.3%
*-commutative62.3%
distribute-lft-in62.3%
metadata-eval62.3%
Simplified62.3%
if -3.8000000000000002e-4 < x < 3.1e-6Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.4%
*-commutative98.4%
associate--l+98.4%
+-commutative98.4%
Simplified98.4%
Final simplification80.8%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (or (<= x -1650000.0) (not (<= x 0.0008)))
(/
(+
2.0
(* (sqrt 2.0) (* (pow (sin x) 2.0) (+ 0.0625 (* -0.0625 (cos x))))))
t_0)
(/
(+ 2.0 (* (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y))))))
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if ((x <= -1650000.0) || !(x <= 0.0008)) {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(x), 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / t_0;
} else {
tmp = (2.0 + (sqrt(2.0) * (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))))) / 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 = 3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))
if ((x <= (-1650000.0d0)) .or. (.not. (x <= 0.0008d0))) then
tmp = (2.0d0 + (sqrt(2.0d0) * ((sin(x) ** 2.0d0) * (0.0625d0 + ((-0.0625d0) * cos(x)))))) / t_0
else
tmp = (2.0d0 + (sqrt(2.0d0) * ((sin(y) ** 2.0d0) * ((-0.0625d0) * (1.0d0 - cos(y)))))) / t_0
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))));
double tmp;
if ((x <= -1650000.0) || !(x <= 0.0008)) {
tmp = (2.0 + (Math.sqrt(2.0) * (Math.pow(Math.sin(x), 2.0) * (0.0625 + (-0.0625 * Math.cos(x)))))) / t_0;
} else {
tmp = (2.0 + (Math.sqrt(2.0) * (Math.pow(Math.sin(y), 2.0) * (-0.0625 * (1.0 - Math.cos(y)))))) / t_0;
}
return tmp;
}
def code(x, y): t_0 = 3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))) tmp = 0 if (x <= -1650000.0) or not (x <= 0.0008): tmp = (2.0 + (math.sqrt(2.0) * (math.pow(math.sin(x), 2.0) * (0.0625 + (-0.0625 * math.cos(x)))))) / t_0 else: tmp = (2.0 + (math.sqrt(2.0) * (math.pow(math.sin(y), 2.0) * (-0.0625 * (1.0 - math.cos(y)))))) / t_0 return tmp
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if ((x <= -1650000.0) || !(x <= 0.0008)) tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(0.0625 + Float64(-0.0625 * cos(x)))))) / t_0); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))))) / t_0); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))); tmp = 0.0; if ((x <= -1650000.0) || ~((x <= 0.0008))) tmp = (2.0 + (sqrt(2.0) * ((sin(x) ^ 2.0) * (0.0625 + (-0.0625 * cos(x)))))) / t_0; else tmp = (2.0 + (sqrt(2.0) * ((sin(y) ^ 2.0) * (-0.0625 * (1.0 - cos(y)))))) / t_0; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -1650000.0], N[Not[LessEqual[x, 0.0008]], $MachinePrecision]], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(0.0625 + N[(-0.0625 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;x \leq -1650000 \lor \neg \left(x \leq 0.0008\right):\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(0.0625 + -0.0625 \cdot \cos x\right)\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left({\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right)\right)}{t_0}\\
\end{array}
\end{array}
if x < -1.65e6 or 8.00000000000000038e-4 < x Initial program 99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out99.1%
sub-neg99.1%
metadata-eval99.1%
Simplified99.1%
flip--98.8%
metadata-eval98.8%
pow1/298.8%
pow1/298.8%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 63.0%
*-commutative63.0%
sub-neg63.0%
metadata-eval63.0%
associate-*l*63.0%
*-commutative63.0%
distribute-lft-in63.0%
metadata-eval63.0%
Simplified63.0%
if -1.65e6 < x < 8.00000000000000038e-4Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 97.4%
*-commutative97.4%
associate-*l*97.4%
*-commutative97.4%
Simplified97.4%
Final simplification80.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))))))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.00038)
(/ t_1 (+ 3.0 (* 1.5 (+ (* (cos x) t_2) (* 4.0 (/ 1.0 t_0))))))
(if (<= x 6.5e-5)
(/
(+
2.0
(* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ (* 4.0 (/ (cos y) t_0)) -1.0)))))
(/ t_1 (+ 3.0 (* 1.5 (fma (cos x) t_2 (/ 4.0 t_0)))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))));
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.00038) {
tmp = t_1 / (3.0 + (1.5 * ((cos(x) * t_2) + (4.0 * (1.0 / t_0)))));
} else if (x <= 6.5e-5) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / t_0)) + -1.0))));
} else {
tmp = t_1 / (3.0 + (1.5 * fma(cos(x), t_2, (4.0 / 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((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.00038) tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_2) + Float64(4.0 * Float64(1.0 / t_0)))))); elseif (x <= 6.5e-5) 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(1.5 * Float64(sqrt(5.0) + Float64(Float64(4.0 * Float64(cos(y) / t_0)) + -1.0))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * fma(cos(x), t_2, Float64(4.0 / 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[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.00038], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.5e-5], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00038:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \left(\cos x \cdot t_2 + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{elif}\;x \leq 6.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(4 \cdot \frac{\cos y}{t_0} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \mathsf{fma}\left(\cos x, t_2, \frac{4}{t_0}\right)}\\
\end{array}
\end{array}
if x < -3.8000000000000002e-4Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 60.3%
if -3.8000000000000002e-4 < x < 6.49999999999999943e-5Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.4%
*-commutative98.4%
associate--l+98.4%
+-commutative98.4%
Simplified98.4%
if 6.49999999999999943e-5 < x Initial program 99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
Taylor expanded in y around 0 63.1%
sub-neg63.1%
metadata-eval63.1%
+-commutative63.1%
*-commutative63.1%
Simplified63.1%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))))))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.00039)
(*
0.3333333333333333
(/ t_1 (+ 1.0 (* 0.5 (- (fma (cos x) t_2 3.0) (sqrt 5.0))))))
(if (<= x 4.5e-6)
(/
(+
2.0
(* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ (* 4.0 (/ (cos y) t_0)) -1.0)))))
(/ t_1 (+ 3.0 (* 1.5 (fma (cos x) t_2 (/ 4.0 t_0)))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))));
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.00039) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (fma(cos(x), t_2, 3.0) - sqrt(5.0)))));
} else if (x <= 4.5e-6) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / t_0)) + -1.0))));
} else {
tmp = t_1 / (3.0 + (1.5 * fma(cos(x), t_2, (4.0 / 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((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.00039) tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(0.5 * Float64(fma(cos(x), t_2, 3.0) - sqrt(5.0)))))); elseif (x <= 4.5e-6) 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(1.5 * Float64(sqrt(5.0) + Float64(Float64(4.0 * Float64(cos(y) / t_0)) + -1.0))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * fma(cos(x), t_2, Float64(4.0 / 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[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.00039], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$2 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 4.5e-6], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00039:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + 0.5 \cdot \left(\mathsf{fma}\left(\cos x, t_2, 3\right) - \sqrt{5}\right)}\\
\mathbf{elif}\;x \leq 4.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(4 \cdot \frac{\cos y}{t_0} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \mathsf{fma}\left(\cos x, t_2, \frac{4}{t_0}\right)}\\
\end{array}
\end{array}
if x < -3.89999999999999993e-4Initial program 99.0%
Taylor expanded in y around 0 60.3%
*-commutative60.3%
sub-neg60.3%
metadata-eval60.3%
Simplified60.3%
*-un-lft-identity60.3%
associate-+r-60.2%
fma-def60.3%
Applied egg-rr60.3%
if -3.89999999999999993e-4 < x < 4.50000000000000011e-6Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.4%
*-commutative98.4%
associate--l+98.4%
+-commutative98.4%
Simplified98.4%
if 4.50000000000000011e-6 < x Initial program 99.1%
Simplified99.2%
Taylor expanded in y around inf 99.2%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
Taylor expanded in y around 0 63.1%
sub-neg63.1%
metadata-eval63.1%
+-commutative63.1%
*-commutative63.1%
Simplified63.1%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00038) (not (<= x 1.55e-5)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (* 0.5 (+ (* (cos x) t_1) t_0)))))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 1.0 (* 0.5 (+ t_1 (* (cos y) t_0)))))))))
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 <= -0.00038) || !(x <= 1.55e-5)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * t_1) + t_0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (1.0 + (0.5 * (t_1 + (cos(y) * 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) :: t_1
real(8) :: tmp
t_0 = 3.0d0 - sqrt(5.0d0)
t_1 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-0.00038d0)) .or. (.not. (x <= 1.55d-5))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (0.5d0 * ((cos(x) * t_1) + t_0))))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (1.0d0 + (0.5d0 * (t_1 + (cos(y) * t_0)))))
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 <= -0.00038) || !(x <= 1.55e-5)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((Math.cos(x) * t_1) + t_0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (1.0 + (0.5 * (t_1 + (Math.cos(y) * t_0)))));
}
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 <= -0.00038) or not (x <= 1.55e-5): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((math.cos(x) * t_1) + t_0)))) else: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (1.0 + (0.5 * (t_1 + (math.cos(y) * t_0))))) 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 <= -0.00038) || !(x <= 1.55e-5)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * t_1) + t_0))))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(1.0 + Float64(0.5 * Float64(t_1 + Float64(cos(y) * t_0)))))); 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 <= -0.00038) || ~((x <= 1.55e-5))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * t_1) + t_0)))); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (1.0 + (0.5 * (t_1 + (cos(y) * t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00038], N[Not[LessEqual[x, 1.55e-5]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * 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[(1.0 + N[(0.5 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00038 \lor \neg \left(x \leq 1.55 \cdot 10^{-5}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + 0.5 \cdot \left(\cos x \cdot t_1 + t_0\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{1 + 0.5 \cdot \left(t_1 + \cos y \cdot t_0\right)}\\
\end{array}
\end{array}
if x < -3.8000000000000002e-4 or 1.55000000000000007e-5 < x Initial program 99.0%
Taylor expanded in y around 0 61.6%
*-commutative61.6%
sub-neg61.6%
metadata-eval61.6%
Simplified61.6%
if -3.8000000000000002e-4 < x < 1.55000000000000007e-5Initial program 99.6%
Taylor expanded in x around 0 98.2%
*-commutative98.2%
distribute-lft-in98.2%
Simplified98.2%
Final simplification80.3%
(FPCore (x y)
:precision binary64
(if (or (<= x -0.00062) (not (<= x 2.2e-6)))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 1.0 (* 0.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (- 3.0 (sqrt 5.0)))))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+
3.0
(* 1.5 (+ (sqrt 5.0) (+ (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))) -1.0)))))))
double code(double x, double y) {
double tmp;
if ((x <= -0.00062) || !(x <= 2.2e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0))))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + -1.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: tmp
if ((x <= (-0.00062d0)) .or. (.not. (x <= 2.2d-6))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (3.0d0 - sqrt(5.0d0))))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (-1.0d0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double tmp;
if ((x <= -0.00062) || !(x <= 2.2e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (3.0 - 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 + (1.5 * (Math.sqrt(5.0) + ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + -1.0))));
}
return tmp;
}
def code(x, y): tmp = 0 if (x <= -0.00062) or not (x <= 2.2e-6): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (3.0 - 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 + (1.5 * (math.sqrt(5.0) + ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + -1.0)))) return tmp
function code(x, y) tmp = 0.0 if ((x <= -0.00062) || !(x <= 2.2e-6)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(3.0 - 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(1.5 * Float64(sqrt(5.0) + Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + -1.0))))); end return tmp end
function tmp_2 = code(x, y) tmp = 0.0; if ((x <= -0.00062) || ~((x <= 2.2e-6))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0)))))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + -1.0)))); end tmp_2 = tmp; end
code[x_, y_] := If[Or[LessEqual[x, -0.00062], N[Not[LessEqual[x, 2.2e-6]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $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[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -0.00062 \lor \neg \left(x \leq 2.2 \cdot 10^{-6}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \left(3 - \sqrt{5}\right)\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 + 1.5 \cdot \left(\sqrt{5} + \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -6.2e-4 or 2.2000000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0 61.6%
*-commutative61.6%
sub-neg61.6%
metadata-eval61.6%
Simplified61.6%
if -6.2e-4 < x < 2.2000000000000001e-6Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.4%
*-commutative98.4%
associate--l+98.4%
+-commutative98.4%
Simplified98.4%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))))))
(t_2 (* (cos x) (+ (sqrt 5.0) -1.0))))
(if (<= x -0.00038)
(/ t_1 (+ 3.0 (* 1.5 (+ t_2 (* 4.0 (/ 1.0 t_0))))))
(if (<= x 2.2e-6)
(/
(+
2.0
(* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ (* 4.0 (/ (cos y) t_0)) -1.0)))))
(*
0.3333333333333333
(/ t_1 (+ 1.0 (* 0.5 (+ t_2 (- 3.0 (sqrt 5.0)))))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))));
double t_2 = cos(x) * (sqrt(5.0) + -1.0);
double tmp;
if (x <= -0.00038) {
tmp = t_1 / (3.0 + (1.5 * (t_2 + (4.0 * (1.0 / t_0)))));
} else if (x <= 2.2e-6) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / t_0)) + -1.0))));
} else {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - sqrt(5.0))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = 3.0d0 + sqrt(5.0d0)
t_1 = 2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))
t_2 = cos(x) * (sqrt(5.0d0) + (-1.0d0))
if (x <= (-0.00038d0)) then
tmp = t_1 / (3.0d0 + (1.5d0 * (t_2 + (4.0d0 * (1.0d0 / t_0)))))
else if (x <= 2.2d-6) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + ((4.0d0 * (cos(y) / t_0)) + (-1.0d0)))))
else
tmp = 0.3333333333333333d0 * (t_1 / (1.0d0 + (0.5d0 * (t_2 + (3.0d0 - sqrt(5.0d0))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + Math.sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))));
double t_2 = Math.cos(x) * (Math.sqrt(5.0) + -1.0);
double tmp;
if (x <= -0.00038) {
tmp = t_1 / (3.0 + (1.5 * (t_2 + (4.0 * (1.0 / t_0)))));
} else if (x <= 2.2e-6) {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + (1.5 * (Math.sqrt(5.0) + ((4.0 * (Math.cos(y) / t_0)) + -1.0))));
} else {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - Math.sqrt(5.0))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + math.sqrt(5.0) t_1 = 2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0)))) t_2 = math.cos(x) * (math.sqrt(5.0) + -1.0) tmp = 0 if x <= -0.00038: tmp = t_1 / (3.0 + (1.5 * (t_2 + (4.0 * (1.0 / t_0))))) elif x <= 2.2e-6: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + (1.5 * (math.sqrt(5.0) + ((4.0 * (math.cos(y) / t_0)) + -1.0)))) else: tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - math.sqrt(5.0)))))) return tmp
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) t_2 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) tmp = 0.0 if (x <= -0.00038) tmp = Float64(t_1 / Float64(3.0 + Float64(1.5 * Float64(t_2 + Float64(4.0 * Float64(1.0 / t_0)))))); elseif (x <= 2.2e-6) 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(1.5 * Float64(sqrt(5.0) + Float64(Float64(4.0 * Float64(cos(y) / t_0)) + -1.0))))); else tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(0.5 * Float64(t_2 + Float64(3.0 - sqrt(5.0))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + sqrt(5.0); t_1 = 2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0)))); t_2 = cos(x) * (sqrt(5.0) + -1.0); tmp = 0.0; if (x <= -0.00038) tmp = t_1 / (3.0 + (1.5 * (t_2 + (4.0 * (1.0 / t_0))))); elseif (x <= 2.2e-6) tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (sqrt(5.0) + ((4.0 * (cos(y) / t_0)) + -1.0)))); else tmp = 0.3333333333333333 * (t_1 / (1.0 + (0.5 * (t_2 + (3.0 - sqrt(5.0)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00038], N[(t$95$1 / N[(3.0 + N[(1.5 * N[(t$95$2 + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 2.2e-6], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(0.5 * N[(t$95$2 + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)\\
t_2 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
\mathbf{if}\;x \leq -0.00038:\\
\;\;\;\;\frac{t_1}{3 + 1.5 \cdot \left(t_2 + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{elif}\;x \leq 2.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(4 \cdot \frac{\cos y}{t_0} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + 0.5 \cdot \left(t_2 + \left(3 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if x < -3.8000000000000002e-4Initial program 99.0%
Simplified98.8%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
Applied egg-rr98.9%
Taylor expanded in y around 0 60.3%
if -3.8000000000000002e-4 < x < 2.2000000000000001e-6Initial 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%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.4%
*-commutative98.4%
associate--l+98.4%
+-commutative98.4%
Simplified98.4%
if 2.2000000000000001e-6 < x Initial program 99.1%
Taylor expanded in y around 0 63.1%
*-commutative63.1%
sub-neg63.1%
metadata-eval63.1%
Simplified63.1%
Final simplification80.4%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))))) (+ 1.0 (* 0.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (3.0d0 - sqrt(5.0d0))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (3.0 - Math.sqrt(5.0))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (1.0 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (3.0 - math.sqrt(5.0))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(3.0 - sqrt(5.0))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0)))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 61.7%
*-commutative61.7%
sub-neg61.7%
metadata-eval61.7%
Simplified61.7%
Final simplification61.7%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (+ 1.0 (* 0.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (- 3.0 (sqrt 5.0)))))))
double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.6666666666666666d0 / (1.0d0 + (0.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (3.0d0 - sqrt(5.0d0)))))
end function
public static double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (3.0 - Math.sqrt(5.0)))));
}
def code(x, y): return 0.6666666666666666 / (1.0 + (0.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (3.0 - math.sqrt(5.0)))))
function code(x, y) return Float64(0.6666666666666666 / Float64(1.0 + Float64(0.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(3.0 - sqrt(5.0)))))) end
function tmp = code(x, y) tmp = 0.6666666666666666 / (1.0 + (0.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (3.0 - sqrt(5.0))))); end
code[x_, y_] := N[(0.6666666666666666 / N[(1.0 + N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{1 + 0.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0 53.0%
+-commutative53.0%
associate-*r*53.0%
metadata-eval53.0%
distribute-rgt-out53.0%
metadata-eval53.0%
Simplified53.0%
Taylor expanded in x around 0 59.6%
Taylor expanded in x around 0 63.6%
Taylor expanded in y around 0 44.5%
distribute-lft-out44.5%
sub-neg44.5%
metadata-eval44.5%
Simplified44.5%
Final simplification44.5%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.3%
Taylor expanded in y around 0 61.7%
*-commutative61.7%
sub-neg61.7%
metadata-eval61.7%
Simplified61.7%
Taylor expanded in x around 0 41.9%
Taylor expanded in x around 0 33.6%
Taylor expanded in x around 0 41.9%
Final simplification41.9%
herbie shell --seed 2023308
(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))))))