
(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 29 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- (cos x) (cos y)) (+ (sin x) (* (sin y) -0.0625))))
2.0)
(+
3.0
(fma
(cos y)
(* (/ 4.0 (+ 3.0 (sqrt 5.0))) 1.5)
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) - cos(y)) * (sin(x) + (sin(y) * -0.0625)))), 2.0) / (3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) * 1.5), (1.5 * (cos(x) * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) * 1.5), Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) 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[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $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(\cos x - \cos y\right) \cdot \left(\sin x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}} \cdot 1.5, 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- (cos x) (cos y)) (+ (sin x) (* (sin y) -0.0625))))
2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) - cos(y)) * (sin(x) + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- (cos x) (cos y)) (+ (sin x) (* (sin y) -0.0625))))
2.0)
(+
3.0
(+
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))
(* 1.5 (* (cos y) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) - cos(y)) * (sin(x) + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + (1.5 * (cos(y) * (3.0 - sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + Float64(1.5 * Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right)\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- (cos x) (cos y)) (+ (sin x) (* (sin y) -0.0625))))
2.0)
(+
3.0
(*
1.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) - cos(y)) * (sin(x) + (sin(y) * -0.0625)))), 2.0) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(x) + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))) 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[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* (sin y) -0.0625))
(* (+ (sin y) (* (sin x) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(*
1.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(x) + (sin(y) * -0.0625)) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0))))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * 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(3.0 - sqrt(5.0))))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(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]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\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 \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_1 (- (cos x) (cos y)))
(t_2 (- (sin x) (/ (sin y) 16.0)))
(t_3 (* 3.0 (+ t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
(if (<= y -0.066)
(/
(+ 2.0 (* t_1 (* (sin y) (* (sqrt 2.0) t_2))))
(* 3.0 (+ t_0 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= y 0.0062)
(/
(+
2.0
(*
t_1
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ y 16.0))))))
t_3)
(/ (+ 2.0 (* t_1 (* (sin y) (* t_2 (cbrt (pow 2.0 1.5)))))) t_3)))))
double code(double x, double y) {
double t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_1 = cos(x) - cos(y);
double t_2 = sin(x) - (sin(y) / 16.0);
double t_3 = 3.0 * (t_0 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double tmp;
if (y <= -0.066) {
tmp = (2.0 + (t_1 * (sin(y) * (sqrt(2.0) * t_2)))) / (3.0 * (t_0 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (y <= 0.0062) {
tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))))) / t_3;
} else {
tmp = (2.0 + (t_1 * (sin(y) * (t_2 * cbrt(pow(2.0, 1.5)))))) / t_3;
}
return tmp;
}
public static double code(double x, double y) {
double t_0 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double t_1 = Math.cos(x) - Math.cos(y);
double t_2 = Math.sin(x) - (Math.sin(y) / 16.0);
double t_3 = 3.0 * (t_0 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double tmp;
if (y <= -0.066) {
tmp = (2.0 + (t_1 * (Math.sin(y) * (Math.sqrt(2.0) * t_2)))) / (3.0 * (t_0 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else if (y <= 0.0062) {
tmp = (2.0 + (t_1 * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) - (y / 16.0)))))) / t_3;
} else {
tmp = (2.0 + (t_1 * (Math.sin(y) * (t_2 * Math.cbrt(Math.pow(2.0, 1.5)))))) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sin(x) - Float64(sin(y) / 16.0)) t_3 = Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) tmp = 0.0 if (y <= -0.066) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sin(y) * Float64(sqrt(2.0) * t_2)))) / Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (y <= 0.0062) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(y / 16.0)))))) / t_3); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sin(y) * Float64(t_2 * cbrt((2.0 ^ 1.5)))))) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.066], N[(N[(2.0 + N[(t$95$1 * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0062], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(y / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[Sin[y], $MachinePrecision] * N[(t$95$2 * N[Power[N[Power[2.0, 1.5], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_1 := \cos x - \cos y\\
t_2 := \sin x - \frac{\sin y}{16}\\
t_3 := 3 \cdot \left(t\_0 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
\mathbf{if}\;y \leq -0.066:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot t\_2\right)\right)}{3 \cdot \left(t\_0 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;y \leq 0.0062:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{y}{16}\right)\right)\right)}{t\_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sin y \cdot \left(t\_2 \cdot \sqrt[3]{{2}^{1.5}}\right)\right)}{t\_3}\\
\end{array}
\end{array}
if y < -0.066000000000000003Initial program 98.8%
Taylor expanded in x around 0 61.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr61.9%
+-commutative99.2%
Simplified61.9%
if -0.066000000000000003 < y < 0.00619999999999999978Initial program 99.5%
Taylor expanded in y around 0 99.3%
if 0.00619999999999999978 < y Initial program 99.0%
Taylor expanded in x around 0 72.3%
add-cbrt-cube72.3%
pow1/372.3%
pow1/272.3%
pow1/272.3%
pow-prod-up72.3%
metadata-eval72.3%
metadata-eval72.3%
Applied egg-rr72.3%
unpow1/372.3%
*-commutative72.3%
unpow1/272.3%
pow-plus72.3%
metadata-eval72.3%
Simplified72.3%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_1 (* 3.0 (+ t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_2 (- (cos x) (cos y))))
(if (<= y -0.059)
(/
(+ 2.0 (* t_2 (* (sin y) (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ t_0 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= y 0.0062)
(/
(+
2.0
(*
t_2
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ y 16.0))))))
t_1)
(/
(+
2.0
(* (sqrt 2.0) (* (fma -0.0625 (sin y) (sin x)) (* (sin y) t_2))))
t_1)))))
double code(double x, double y) {
double t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_1 = 3.0 * (t_0 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_2 = cos(x) - cos(y);
double tmp;
if (y <= -0.059) {
tmp = (2.0 + (t_2 * (sin(y) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (t_0 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (y <= 0.0062) {
tmp = (2.0 + (t_2 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))))) / t_1;
} else {
tmp = (2.0 + (sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * (sin(y) * t_2)))) / t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_1 = Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_2 = Float64(cos(x) - cos(y)) tmp = 0.0 if (y <= -0.059) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(sin(y) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (y <= 0.0062) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(y / 16.0)))))) / t_1); else tmp = Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * Float64(sin(y) * t_2)))) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(t$95$0 + 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[LessEqual[y, -0.059], N[(N[(2.0 + N[(t$95$2 * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0062], N[(N[(2.0 + N[(t$95$2 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(y / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_1 := 3 \cdot \left(t\_0 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_2 := \cos x - \cos y\\
\mathbf{if}\;y \leq -0.059:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right)}{3 \cdot \left(t\_0 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;y \leq 0.0062:\\
\;\;\;\;\frac{2 + t\_2 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{y}{16}\right)\right)\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \left(\sin y \cdot t\_2\right)\right)}{t\_1}\\
\end{array}
\end{array}
if y < -0.058999999999999997Initial program 98.8%
Taylor expanded in x around 0 61.9%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr61.9%
+-commutative99.2%
Simplified61.9%
if -0.058999999999999997 < y < 0.00619999999999999978Initial program 99.5%
Taylor expanded in y around 0 99.3%
if 0.00619999999999999978 < y Initial program 99.0%
Taylor expanded in x around 0 72.3%
pow172.3%
associate-*l*72.3%
div-inv72.3%
metadata-eval72.3%
Applied egg-rr72.3%
unpow172.3%
associate-*l*72.3%
*-commutative72.3%
cancel-sign-sub-inv72.3%
metadata-eval72.3%
+-commutative72.3%
fma-undefine72.3%
Simplified72.3%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (- (sin x) (/ (sin y) 16.0)) (- (sin y) (/ (sin x) 16.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
return (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) / 2.0d0
code = (2.0d0 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * ((sin(x) - (sin(y) / 16.0d0)) * (sin(y) - (sin(x) / 16.0d0)))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
return (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * ((Math.sin(x) - (Math.sin(y) / 16.0)) * (Math.sin(y) - (Math.sin(x) / 16.0)))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 return (2.0 + ((math.cos(x) - math.cos(y)) * (math.sqrt(2.0) * ((math.sin(x) - (math.sin(y) / 16.0)) * (math.sin(y) - (math.sin(x) / 16.0)))))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))))
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(x) - (sin(y) / 16.0)) * (sin(y) - (sin(x) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-rgt-in99.2%
cos-neg99.2%
distribute-rgt-in99.2%
associate-+l+99.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(*
0.3333333333333333
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* (sin y) -0.0625))
(* (- (cos x) (cos y)) (- (sin y) (* (sin x) 0.0625))))))
(+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return 0.3333333333333333 * ((2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625)))))) / (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = 0.3333333333333333d0 * ((2.0d0 + (sqrt(2.0d0) * ((sin(x) + (sin(y) * (-0.0625d0))) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return 0.3333333333333333 * ((2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (Math.sin(y) * -0.0625)) * ((Math.cos(x) - Math.cos(y)) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return 0.3333333333333333 * ((2.0 + (math.sqrt(2.0) * ((math.sin(x) + (math.sin(y) * -0.0625)) * ((math.cos(x) - math.cos(y)) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.3333333333333333 * ((2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) * 0.0625)))))) / (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(0.3333333333333333 * N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
0.3333333333333333 \cdot \frac{2 + \sqrt{2} \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)}
\end{array}
\end{array}
Initial program 99.2%
Simplified99.2%
Taylor expanded in x around inf 99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_1 (- (cos x) (cos y))))
(if (or (<= y -0.025) (not (<= y 0.0062)))
(/
(+ 2.0 (* t_1 (* (sin y) (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ t_0 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(+
2.0
(*
t_1
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ y 16.0))))))
(* 3.0 (+ t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_1 = cos(x) - cos(y);
double tmp;
if ((y <= -0.025) || !(y <= 0.0062)) {
tmp = (2.0 + (t_1 * (sin(y) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (t_0 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))))) / (3.0 * (t_0 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
t_1 = cos(x) - cos(y)
if ((y <= (-0.025d0)) .or. (.not. (y <= 0.0062d0))) then
tmp = (2.0d0 + (t_1 * (sin(y) * (sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0)))))) / (3.0d0 * (t_0 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else
tmp = (2.0d0 + (t_1 * ((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) - (y / 16.0d0)))))) / (3.0d0 * (t_0 + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double t_1 = Math.cos(x) - Math.cos(y);
double tmp;
if ((y <= -0.025) || !(y <= 0.0062)) {
tmp = (2.0 + (t_1 * (Math.sin(y) * (Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0)))))) / (3.0 * (t_0 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + (t_1 * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) - (y / 16.0)))))) / (3.0 * (t_0 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) t_1 = math.cos(x) - math.cos(y) tmp = 0 if (y <= -0.025) or not (y <= 0.0062): tmp = (2.0 + (t_1 * (math.sin(y) * (math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0)))))) / (3.0 * (t_0 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) else: tmp = (2.0 + (t_1 * ((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) - (y / 16.0)))))) / (3.0 * (t_0 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_1 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((y <= -0.025) || !(y <= 0.0062)) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sin(y) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(y / 16.0)))))) / Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); t_1 = cos(x) - cos(y); tmp = 0.0; if ((y <= -0.025) || ~((y <= 0.0062))) tmp = (2.0 + (t_1 * (sin(y) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (t_0 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); else tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (y / 16.0)))))) / (3.0 * (t_0 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[y, -0.025], N[Not[LessEqual[y, 0.0062]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$1 * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(y / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_1 := \cos x - \cos y\\
\mathbf{if}\;y \leq -0.025 \lor \neg \left(y \leq 0.0062\right):\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right)}{3 \cdot \left(t\_0 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{y}{16}\right)\right)\right)}{3 \cdot \left(t\_0 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if y < -0.025000000000000001 or 0.00619999999999999978 < y Initial program 98.9%
Taylor expanded in x around 0 66.3%
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-rr66.3%
+-commutative99.1%
Simplified66.3%
if -0.025000000000000001 < y < 0.00619999999999999978Initial program 99.5%
Taylor expanded in y around 0 99.3%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (- (cos x) (cos y))))
(if (or (<= x -7.8e-5) (not (<= x 1.2e-5)))
(/
(+ 2.0 (* t_1 (* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ t_0 2.0)))))
(/
(fma
(sqrt 2.0)
(* (+ (sin y) (* (sin x) -0.0625)) (* t_1 (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* (cos y) t_0)))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = cos(x) - cos(y);
double tmp;
if ((x <= -7.8e-5) || !(x <= 1.2e-5)) {
tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * (t_1 * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (cos(y) * t_0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(cos(x) - cos(y)) tmp = 0.0 if ((x <= -7.8e-5) || !(x <= 1.2e-5)) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(t_1 * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(cos(y) * t_0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -7.8e-5], N[Not[LessEqual[x, 1.2e-5]], $MachinePrecision]], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + 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 := \cos x - \cos y\\
\mathbf{if}\;x \leq -7.8 \cdot 10^{-5} \lor \neg \left(x \leq 1.2 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(t\_1 \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + \cos y \cdot t\_0\right)\right)}\\
\end{array}
\end{array}
if x < -7.7999999999999999e-5 or 1.2e-5 < x Initial program 98.8%
Taylor expanded in y around 0 61.0%
if -7.7999999999999999e-5 < x < 1.2e-5Initial program 99.5%
Simplified99.6%
expm1-log1p-u99.6%
expm1-undefine99.6%
associate-*l*99.6%
Applied egg-rr99.6%
expm1-define99.6%
fma-define99.6%
+-commutative99.6%
metadata-eval99.6%
sub-neg99.6%
associate-*r*99.6%
associate-*r*99.6%
distribute-rgt-in99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 99.4%
Taylor expanded in x around 0 99.4%
Final simplification82.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= y -0.00185) (not (<= y 0.00072)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* (sin y) (- (sin x) (/ (sin y) 16.0))))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(+
3.0
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ -1.5 (* (sqrt 5.0) 1.5)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((y <= -0.00185) || !(y <= 0.00072)) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (-1.5 + (sqrt(5.0) * 1.5)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((y <= -0.00185) || !(y <= 0.00072)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(sin(y) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(-1.5 + Float64(sqrt(5.0) * 1.5)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[y, -0.00185], N[Not[LessEqual[y, 0.00072]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;y \leq -0.00185 \lor \neg \left(y \leq 0.00072\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(-1.5 + \sqrt{5} \cdot 1.5\right)\right)}\\
\end{array}
\end{array}
if y < -0.0018500000000000001 or 7.20000000000000045e-4 < y Initial program 98.9%
associate-*l*98.9%
distribute-rgt-in99.0%
cos-neg99.0%
distribute-rgt-in98.9%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in x around 0 66.3%
if -0.0018500000000000001 < y < 7.20000000000000045e-4Initial program 99.5%
Simplified99.5%
flip--99.4%
metadata-eval99.4%
pow1/299.4%
pow1/299.4%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
associate-*r*99.6%
sub-neg99.6%
distribute-lft-in99.7%
metadata-eval99.7%
Applied egg-rr99.7%
distribute-lft-out99.6%
*-commutative99.6%
metadata-eval99.6%
sub-neg99.6%
associate-*l*99.7%
sub-neg99.7%
metadata-eval99.7%
+-commutative99.7%
distribute-lft-in99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in y around 0 98.5%
Final simplification81.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))
(t_1
(fma
(sqrt 2.0)
(* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0)))
2.0)))
(if (<= x -0.00025)
(/ t_1 (+ 3.0 (+ t_0 (* (cos x) (+ -1.5 (* (sqrt 5.0) 1.5))))))
(if (<= x 0.00365)
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* (sin x) -0.0625))
(* (- (cos x) (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0))))))))
(/ t_1 (+ 3.0 (+ (* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0))) t_0)))))))
double code(double x, double y) {
double t_0 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double t_1 = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0);
double tmp;
if (x <= -0.00025) {
tmp = t_1 / (3.0 + (t_0 + (cos(x) * (-1.5 + (sqrt(5.0) * 1.5)))));
} else if (x <= 0.00365) {
tmp = fma(sqrt(2.0), ((sin(y) + (sin(x) * -0.0625)) * ((cos(x) - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))))));
} else {
tmp = t_1 / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + t_0));
}
return tmp;
}
function code(x, y) t_0 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) t_1 = fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) tmp = 0.0 if (x <= -0.00025) tmp = Float64(t_1 / Float64(3.0 + Float64(t_0 + Float64(cos(x) * Float64(-1.5 + Float64(sqrt(5.0) * 1.5)))))); elseif (x <= 0.00365) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(Float64(cos(x) - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + t_0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, If[LessEqual[x, -0.00025], N[(t$95$1 / N[(3.0 + N[(t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00365], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
t_1 := \mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)\\
\mathbf{if}\;x \leq -0.00025:\\
\;\;\;\;\frac{t\_1}{3 + \left(t\_0 + \cos x \cdot \left(-1.5 + \sqrt{5} \cdot 1.5\right)\right)}\\
\mathbf{elif}\;x \leq 0.00365:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + t\_0\right)}\\
\end{array}
\end{array}
if x < -2.5000000000000001e-4Initial program 98.9%
Simplified99.1%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
associate-*r*99.1%
sub-neg99.1%
distribute-lft-in99.1%
metadata-eval99.1%
Applied egg-rr99.1%
distribute-lft-out99.1%
*-commutative99.1%
metadata-eval99.1%
sub-neg99.1%
associate-*l*99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
distribute-lft-in99.2%
metadata-eval99.2%
Simplified99.2%
Taylor expanded in y around 0 53.8%
if -2.5000000000000001e-4 < x < 0.00365000000000000003Initial program 99.5%
Simplified99.6%
expm1-log1p-u99.6%
expm1-undefine99.6%
associate-*l*99.6%
Applied egg-rr99.6%
expm1-define99.6%
fma-define99.6%
+-commutative99.6%
metadata-eval99.6%
sub-neg99.6%
associate-*r*99.6%
associate-*r*99.6%
distribute-rgt-in99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 99.4%
Taylor expanded in x around 0 99.4%
if 0.00365000000000000003 < x Initial program 98.8%
Simplified98.7%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
Taylor expanded in y around 0 60.3%
Final simplification80.3%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(sqrt 2.0)
(* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0)))
2.0))
(t_1 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.00175)
(/ t_0 (+ 3.0 (+ t_1 (* (cos x) (+ -1.5 (* (sqrt 5.0) 1.5))))))
(if (<= x 0.0029)
(/
(+
2.0
(*
(* (sin y) (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(- 1.0 (cos y))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_2 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/ t_0 (+ 3.0 (+ (* 1.5 (* (cos x) t_2)) t_1)))))))
double code(double x, double y) {
double t_0 = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0);
double t_1 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.00175) {
tmp = t_0 / (3.0 + (t_1 + (cos(x) * (-1.5 + (sqrt(5.0) * 1.5)))));
} else if (x <= 0.0029) {
tmp = (2.0 + ((sin(y) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * (1.0 - cos(y)))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = t_0 / (3.0 + ((1.5 * (cos(x) * t_2)) + t_1));
}
return tmp;
}
function code(x, y) t_0 = fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) t_1 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.00175) tmp = Float64(t_0 / Float64(3.0 + Float64(t_1 + Float64(cos(x) * Float64(-1.5 + Float64(sqrt(5.0) * 1.5)))))); elseif (x <= 0.0029) tmp = Float64(Float64(2.0 + Float64(Float64(sin(y) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * Float64(1.0 - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(t_0 / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * t_2)) + t_1))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.00175], N[(t$95$0 / N[(3.0 + N[(t$95$1 + N[(N[Cos[x], $MachinePrecision] * N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0029], N[(N[(2.0 + N[(N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $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$2 / 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[(t$95$0 / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)\\
t_1 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00175:\\
\;\;\;\;\frac{t\_0}{3 + \left(t\_1 + \cos x \cdot \left(-1.5 + \sqrt{5} \cdot 1.5\right)\right)}\\
\mathbf{elif}\;x \leq 0.0029:\\
\;\;\;\;\frac{2 + \left(\sin y \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \left(1 - \cos y\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_2}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{3 + \left(1.5 \cdot \left(\cos x \cdot t\_2\right) + t\_1\right)}\\
\end{array}
\end{array}
if x < -0.00175000000000000004Initial program 98.9%
Simplified99.1%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
associate-*r*99.1%
sub-neg99.1%
distribute-lft-in99.1%
metadata-eval99.1%
Applied egg-rr99.1%
distribute-lft-out99.1%
*-commutative99.1%
metadata-eval99.1%
sub-neg99.1%
associate-*l*99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
distribute-lft-in99.2%
metadata-eval99.2%
Simplified99.2%
Taylor expanded in y around 0 53.8%
if -0.00175000000000000004 < x < 0.0029Initial program 99.5%
Taylor expanded in x around 0 99.0%
Taylor expanded in x around 0 99.0%
if 0.0029 < x Initial program 98.8%
Simplified98.7%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
Taylor expanded in y around 0 60.3%
Final simplification80.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0))))
(if (or (<= x -102.0) (not (<= x 0.00098)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(+ 3.0 (+ (* 1.5 t_0) (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))))
(/
(fma (sqrt 2.0) (* (- 1.0 (cos y)) (* -0.0625 (pow (sin y) 2.0))) 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 tmp;
if ((x <= -102.0) || !(x <= 0.00098)) {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + ((1.5 * t_0) + (6.0 * (cos(y) / (3.0 + sqrt(5.0))))));
} else {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * (-0.0625 * pow(sin(y), 2.0))), 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)) tmp = 0.0 if ((x <= -102.0) || !(x <= 0.00098)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_0) + Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * (sin(y) ^ 2.0))), 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]}, If[Or[LessEqual[x, -102.0], N[Not[LessEqual[x, 0.00098]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$0), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $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)\\
\mathbf{if}\;x \leq -102 \lor \neg \left(x \leq 0.00098\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(1.5 \cdot t\_0 + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot {\sin y}^{2}\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 < -102 or 9.7999999999999997e-4 < x Initial program 98.8%
Simplified98.9%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
+-commutative99.1%
Simplified99.1%
Taylor expanded in y around inf 99.1%
Taylor expanded in y around 0 57.5%
if -102 < x < 9.7999999999999997e-4Initial program 99.5%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 98.2%
associate-*r*98.3%
Simplified98.2%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))
(t_1 (+ 3.0 (+ t_0 (* (cos x) (+ -1.5 (* (sqrt 5.0) 1.5))))))
(t_2
(fma
(sqrt 2.0)
(* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0)))
2.0)))
(if (<= x -102.0)
(/ t_2 t_1)
(if (<= x 0.00083)
(/
(fma (sqrt 2.0) (* (- 1.0 (cos y)) (* -0.0625 (pow (sin y) 2.0))) 2.0)
t_1)
(/ t_2 (+ 3.0 (+ (* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0))) t_0)))))))
double code(double x, double y) {
double t_0 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double t_1 = 3.0 + (t_0 + (cos(x) * (-1.5 + (sqrt(5.0) * 1.5))));
double t_2 = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0);
double tmp;
if (x <= -102.0) {
tmp = t_2 / t_1;
} else if (x <= 0.00083) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * (-0.0625 * pow(sin(y), 2.0))), 2.0) / t_1;
} else {
tmp = t_2 / (3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + t_0));
}
return tmp;
}
function code(x, y) t_0 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) t_1 = Float64(3.0 + Float64(t_0 + Float64(cos(x) * Float64(-1.5 + Float64(sqrt(5.0) * 1.5))))) t_2 = fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) tmp = 0.0 if (x <= -102.0) tmp = Float64(t_2 / t_1); elseif (x <= 0.00083) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * (sin(y) ^ 2.0))), 2.0) / t_1); else tmp = Float64(t_2 / Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + t_0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[(t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, If[LessEqual[x, -102.0], N[(t$95$2 / t$95$1), $MachinePrecision], If[LessEqual[x, 0.00083], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], N[(t$95$2 / N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
t_1 := 3 + \left(t\_0 + \cos x \cdot \left(-1.5 + \sqrt{5} \cdot 1.5\right)\right)\\
t_2 := \mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)\\
\mathbf{if}\;x \leq -102:\\
\;\;\;\;\frac{t\_2}{t\_1}\\
\mathbf{elif}\;x \leq 0.00083:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot {\sin y}^{2}\right), 2\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2}{3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + t\_0\right)}\\
\end{array}
\end{array}
if x < -102Initial program 98.9%
Simplified99.1%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in y around inf 99.2%
associate-*r*99.0%
sub-neg99.0%
distribute-lft-in99.1%
metadata-eval99.1%
Applied egg-rr99.1%
distribute-lft-out99.0%
*-commutative99.0%
metadata-eval99.0%
sub-neg99.0%
associate-*l*99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
distribute-lft-in99.2%
metadata-eval99.2%
Simplified99.2%
Taylor expanded in y around 0 54.3%
if -102 < x < 8.3000000000000001e-4Initial program 99.5%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
associate-*r*99.7%
sub-neg99.7%
distribute-lft-in99.7%
metadata-eval99.7%
Applied egg-rr99.7%
distribute-lft-out99.7%
*-commutative99.7%
metadata-eval99.7%
sub-neg99.7%
associate-*l*99.7%
sub-neg99.7%
metadata-eval99.7%
+-commutative99.7%
distribute-lft-in99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 98.3%
associate-*r*98.3%
Simplified98.3%
if 8.3000000000000001e-4 < x Initial program 98.8%
Simplified98.7%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
Taylor expanded in y around 0 60.3%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))
(t_1
(fma
(sqrt 2.0)
(* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0)))
2.0))
(t_2 (+ 3.0 (+ (* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0))) t_0))))
(if (<= x -102.0)
(/ t_1 (+ 3.0 (+ t_0 (* (cos x) (+ -1.5 (* (sqrt 5.0) 1.5))))))
(if (<= x 0.0009)
(/
(fma (sqrt 2.0) (* (- 1.0 (cos y)) (* -0.0625 (pow (sin y) 2.0))) 2.0)
t_2)
(/ t_1 t_2)))))
double code(double x, double y) {
double t_0 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double t_1 = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0);
double t_2 = 3.0 + ((1.5 * (cos(x) * (sqrt(5.0) + -1.0))) + t_0);
double tmp;
if (x <= -102.0) {
tmp = t_1 / (3.0 + (t_0 + (cos(x) * (-1.5 + (sqrt(5.0) * 1.5)))));
} else if (x <= 0.0009) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * (-0.0625 * pow(sin(y), 2.0))), 2.0) / t_2;
} else {
tmp = t_1 / t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) t_1 = fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) t_2 = Float64(3.0 + Float64(Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) + t_0)) tmp = 0.0 if (x <= -102.0) tmp = Float64(t_1 / Float64(3.0 + Float64(t_0 + Float64(cos(x) * Float64(-1.5 + Float64(sqrt(5.0) * 1.5)))))); elseif (x <= 0.0009) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * (sin(y) ^ 2.0))), 2.0) / t_2); else tmp = Float64(t_1 / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 + N[(N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -102.0], N[(t$95$1 / N[(3.0 + N[(t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0009], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], N[(t$95$1 / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
t_1 := \mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)\\
t_2 := 3 + \left(1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) + t\_0\right)\\
\mathbf{if}\;x \leq -102:\\
\;\;\;\;\frac{t\_1}{3 + \left(t\_0 + \cos x \cdot \left(-1.5 + \sqrt{5} \cdot 1.5\right)\right)}\\
\mathbf{elif}\;x \leq 0.0009:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot {\sin y}^{2}\right), 2\right)}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{t\_2}\\
\end{array}
\end{array}
if x < -102Initial program 98.9%
Simplified99.1%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in y around inf 99.2%
associate-*r*99.0%
sub-neg99.0%
distribute-lft-in99.1%
metadata-eval99.1%
Applied egg-rr99.1%
distribute-lft-out99.0%
*-commutative99.0%
metadata-eval99.0%
sub-neg99.0%
associate-*l*99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
distribute-lft-in99.2%
metadata-eval99.2%
Simplified99.2%
Taylor expanded in y around 0 54.3%
if -102 < x < 8.9999999999999998e-4Initial program 99.5%
Simplified99.6%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr99.6%
+-commutative99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 98.3%
associate-*r*98.3%
Simplified98.3%
if 8.9999999999999998e-4 < x Initial program 98.8%
Simplified98.7%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
Taylor expanded in y around 0 60.3%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1 (* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0)))))
(t_2
(fma
(sqrt 2.0)
(* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0)))
2.0)))
(if (<= x -102.0)
(/ t_2 (+ 3.0 (+ t_1 (* (cos x) (+ -1.5 (* (sqrt 5.0) 1.5))))))
(if (<= x 0.00105)
(/
(fma (sqrt 2.0) (* (- 1.0 (cos y)) (* -0.0625 (pow (sin y) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ t_0 (* (cos y) (- 3.0 (sqrt 5.0)))))))
(/ t_2 (+ 3.0 (+ (* 1.5 t_0) t_1)))))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = 6.0 * (cos(y) / (3.0 + sqrt(5.0)));
double t_2 = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0);
double tmp;
if (x <= -102.0) {
tmp = t_2 / (3.0 + (t_1 + (cos(x) * (-1.5 + (sqrt(5.0) * 1.5)))));
} else if (x <= 0.00105) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * (-0.0625 * pow(sin(y), 2.0))), 2.0) / (3.0 + (1.5 * (t_0 + (cos(y) * (3.0 - sqrt(5.0))))));
} else {
tmp = t_2 / (3.0 + ((1.5 * t_0) + t_1));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) t_2 = fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) tmp = 0.0 if (x <= -102.0) tmp = Float64(t_2 / Float64(3.0 + Float64(t_1 + Float64(cos(x) * Float64(-1.5 + Float64(sqrt(5.0) * 1.5)))))); elseif (x <= 0.00105) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * (sin(y) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(t_0 + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); else tmp = Float64(t_2 / Float64(3.0 + Float64(Float64(1.5 * t_0) + 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[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, If[LessEqual[x, -102.0], N[(t$95$2 / N[(3.0 + N[(t$95$1 + N[(N[Cos[x], $MachinePrecision] * N[(-1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00105], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $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], N[(t$95$2 / N[(3.0 + N[(N[(1.5 * t$95$0), $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 := 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\\
t_2 := \mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)\\
\mathbf{if}\;x \leq -102:\\
\;\;\;\;\frac{t\_2}{3 + \left(t\_1 + \cos x \cdot \left(-1.5 + \sqrt{5} \cdot 1.5\right)\right)}\\
\mathbf{elif}\;x \leq 0.00105:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot {\sin y}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(t\_0 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2}{3 + \left(1.5 \cdot t\_0 + t\_1\right)}\\
\end{array}
\end{array}
if x < -102Initial program 98.9%
Simplified99.1%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Taylor expanded in y around inf 99.2%
associate-*r*99.0%
sub-neg99.0%
distribute-lft-in99.1%
metadata-eval99.1%
Applied egg-rr99.1%
distribute-lft-out99.0%
*-commutative99.0%
metadata-eval99.0%
sub-neg99.0%
associate-*l*99.2%
sub-neg99.2%
metadata-eval99.2%
+-commutative99.2%
distribute-lft-in99.2%
metadata-eval99.2%
Simplified99.2%
Taylor expanded in y around 0 54.3%
if -102 < x < 0.00104999999999999994Initial program 99.5%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 98.2%
associate-*r*98.3%
Simplified98.2%
if 0.00104999999999999994 < x Initial program 98.8%
Simplified98.7%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
+-commutative99.0%
Simplified99.0%
Taylor expanded in y around inf 99.0%
Taylor expanded in y around 0 60.3%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* (cos x) (+ (sqrt 5.0) -1.0))
(* (cos y) (- 3.0 (sqrt 5.0))))))))
(if (or (<= x -102.0) (not (<= x 0.00049)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
t_0)
(/
(fma (sqrt 2.0) (* (- 1.0 (cos y)) (* -0.0625 (pow (sin y) 2.0))) 2.0)
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))));
double tmp;
if ((x <= -102.0) || !(x <= 0.00049)) {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / t_0;
} else {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * (-0.0625 * pow(sin(y), 2.0))), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))) tmp = 0.0 if ((x <= -102.0) || !(x <= 0.00049)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / t_0); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * (sin(y) ^ 2.0))), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -102.0], N[Not[LessEqual[x, 0.00049]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)\\
\mathbf{if}\;x \leq -102 \lor \neg \left(x \leq 0.00049\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot {\sin y}^{2}\right), 2\right)}{t\_0}\\
\end{array}
\end{array}
if x < -102 or 4.8999999999999998e-4 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around 0 57.4%
if -102 < x < 4.8999999999999998e-4Initial program 99.5%
Simplified99.6%
Taylor expanded in y around inf 99.6%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 98.2%
associate-*r*98.3%
Simplified98.2%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -102.0) (not (<= x 0.00135)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(+ 3.0 (* 1.5 (+ (* (cos x) t_0) (* (cos y) (- 3.0 (sqrt 5.0)))))))
(/
(+ 2.0 (* (* -0.0625 (pow (sin y) 2.0)) (* (sqrt 2.0) (- 1.0 (cos y)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -102.0) || !(x <= 0.00135)) {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + (1.5 * ((cos(x) * t_0) + (cos(y) * (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 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -102.0) || !(x <= 0.00135)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))); else tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * Float64(sqrt(2.0) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -102.0], N[Not[LessEqual[x, 0.00135]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -102 \lor \neg \left(x \leq 0.00135\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot t\_0 + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_0}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\end{array}
\end{array}
if x < -102 or 0.0013500000000000001 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around 0 57.4%
if -102 < x < 0.0013500000000000001Initial program 99.5%
Taylor expanded in x around 0 98.5%
Taylor expanded in x around 0 98.1%
associate-*r*98.1%
Simplified98.1%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr98.2%
+-commutative99.6%
Simplified98.2%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_1 (* (sqrt 2.0) (- 1.0 (cos y)))))
(if (<= y -1.25e-7)
(/
(+ 2.0 (* (* -0.0625 (pow (sin y) 2.0)) t_1))
(* 3.0 (+ t_0 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(if (<= y 7.5e-8)
(/
(+
0.6666666666666666
(*
0.3333333333333333
(* (* -0.0625 (pow (sin x) 2.0)) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 2.5 (fma (cos x) (fma 0.5 (sqrt 5.0) -0.5) (* (sqrt 5.0) -0.5))))
(/
(+ 2.0 (* t_1 (* -0.0625 (- 0.5 (/ (cos (* 2.0 y)) 2.0)))))
(* 3.0 (+ t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))))))
double code(double x, double y) {
double t_0 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_1 = sqrt(2.0) * (1.0 - cos(y));
double tmp;
if (y <= -1.25e-7) {
tmp = (2.0 + ((-0.0625 * pow(sin(y), 2.0)) * t_1)) / (3.0 * (t_0 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else if (y <= 7.5e-8) {
tmp = (0.6666666666666666 + (0.3333333333333333 * ((-0.0625 * pow(sin(x), 2.0)) * (sqrt(2.0) * (cos(x) + -1.0))))) / (2.5 + fma(cos(x), fma(0.5, sqrt(5.0), -0.5), (sqrt(5.0) * -0.5)));
} else {
tmp = (2.0 + (t_1 * (-0.0625 * (0.5 - (cos((2.0 * y)) / 2.0))))) / (3.0 * (t_0 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_1 = Float64(sqrt(2.0) * Float64(1.0 - cos(y))) tmp = 0.0 if (y <= -1.25e-7) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * t_1)) / Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); elseif (y <= 7.5e-8) tmp = Float64(Float64(0.6666666666666666 + Float64(0.3333333333333333 * Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(2.5 + fma(cos(x), fma(0.5, sqrt(5.0), -0.5), Float64(sqrt(5.0) * -0.5)))); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(-0.0625 * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0))))) / Float64(3.0 * Float64(t_0 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.25e-7], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 7.5e-8], N[(N[(0.6666666666666666 + N[(0.3333333333333333 * N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(-0.0625 * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_1 := \sqrt{2} \cdot \left(1 - \cos y\right)\\
\mathbf{if}\;y \leq -1.25 \cdot 10^{-7}:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin y}^{2}\right) \cdot t\_1}{3 \cdot \left(t\_0 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{elif}\;y \leq 7.5 \cdot 10^{-8}:\\
\;\;\;\;\frac{0.6666666666666666 + 0.3333333333333333 \cdot \left(\left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{2.5 + \mathsf{fma}\left(\cos x, \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \sqrt{5} \cdot -0.5\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(-0.0625 \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)}{3 \cdot \left(t\_0 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if y < -1.24999999999999994e-7Initial program 98.8%
Taylor expanded in x around 0 62.4%
Taylor expanded in x around 0 58.8%
associate-*r*58.8%
Simplified58.8%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
Applied egg-rr58.8%
+-commutative99.2%
Simplified58.8%
if -1.24999999999999994e-7 < y < 7.4999999999999997e-8Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 99.3%
associate-*r/99.3%
distribute-lft-in99.3%
metadata-eval99.3%
associate-*r*99.3%
sub-neg99.3%
metadata-eval99.3%
associate--l+99.4%
fmm-def99.5%
fmm-def99.5%
metadata-eval99.5%
Simplified99.5%
if 7.4999999999999997e-8 < y Initial program 99.1%
Taylor expanded in x around 0 72.6%
Taylor expanded in x around 0 70.0%
associate-*r*70.0%
Simplified70.0%
unpow270.0%
sin-mult70.0%
Applied egg-rr70.0%
div-sub70.0%
+-inverses70.0%
cos-070.0%
metadata-eval70.0%
count-270.0%
Simplified70.0%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -102.0) (not (<= x 0.0008)))
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* (sqrt 2.0) (+ (cos x) -1.0))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+ 2.0 (* (* -0.0625 (pow (sin y) 2.0)) (* (sqrt 2.0) (- 1.0 (cos y)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -102.0) || !(x <= 0.0008)) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (sqrt(2.0) * (cos(x) + -1.0)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((-0.0625 * pow(sin(y), 2.0)) * (sqrt(2.0) * (1.0 - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((x <= (-102.0d0)) .or. (.not. (x <= 0.0008d0))) then
tmp = (2.0d0 + (((-0.0625d0) * (sin(x) ** 2.0d0)) * (sqrt(2.0d0) * (cos(x) + (-1.0d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (((-0.0625d0) * (sin(y) ** 2.0d0)) * (sqrt(2.0d0) * (1.0d0 - cos(y))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -102.0) || !(x <= 0.0008)) {
tmp = (2.0 + ((-0.0625 * Math.pow(Math.sin(x), 2.0)) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((-0.0625 * Math.pow(Math.sin(y), 2.0)) * (Math.sqrt(2.0) * (1.0 - Math.cos(y))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -102.0) or not (x <= 0.0008): tmp = (2.0 + ((-0.0625 * math.pow(math.sin(x), 2.0)) * (math.sqrt(2.0) * (math.cos(x) + -1.0)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + ((-0.0625 * math.pow(math.sin(y), 2.0)) * (math.sqrt(2.0) * (1.0 - math.cos(y))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -102.0) || !(x <= 0.0008)) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * Float64(sqrt(2.0) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -102.0) || ~((x <= 0.0008))) tmp = (2.0 + ((-0.0625 * (sin(x) ^ 2.0)) * (sqrt(2.0) * (cos(x) + -1.0)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((-0.0625 * (sin(y) ^ 2.0)) * (sqrt(2.0) * (1.0 - cos(y))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -102.0], N[Not[LessEqual[x, 0.0008]], $MachinePrecision]], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -102 \lor \neg \left(x \leq 0.0008\right):\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\end{array}
\end{array}
if x < -102 or 8.00000000000000038e-4 < x Initial program 98.8%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
sub-neg57.4%
metadata-eval57.4%
Simplified57.4%
if -102 < x < 8.00000000000000038e-4Initial program 99.5%
Taylor expanded in x around 0 98.5%
Taylor expanded in x around 0 98.1%
associate-*r*98.1%
Simplified98.1%
flip--99.5%
metadata-eval99.5%
pow1/299.5%
pow1/299.5%
pow-prod-up99.6%
metadata-eval99.6%
metadata-eval99.6%
metadata-eval99.6%
Applied egg-rr98.2%
+-commutative99.6%
Simplified98.2%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -102.0) (not (<= x 0.00083)))
(/
(+ 2.0 (* (* -0.0625 (pow (sin x) 2.0)) (* (sqrt 2.0) (+ (cos x) -1.0))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(* (sqrt 2.0) (- 1.0 (cos y)))
(* -0.0625 (- 0.5 (/ (cos (* 2.0 y)) 2.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -102.0) || !(x <= 0.00083)) {
tmp = (2.0 + ((-0.0625 * pow(sin(x), 2.0)) * (sqrt(2.0) * (cos(x) + -1.0)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * (-0.0625 * (0.5 - (cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
if ((x <= (-102.0d0)) .or. (.not. (x <= 0.00083d0))) then
tmp = (2.0d0 + (((-0.0625d0) * (sin(x) ** 2.0d0)) * (sqrt(2.0d0) * (cos(x) + (-1.0d0))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (1.0d0 - cos(y))) * ((-0.0625d0) * (0.5d0 - (cos((2.0d0 * y)) / 2.0d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
double tmp;
if ((x <= -102.0) || !(x <= 0.00083)) {
tmp = (2.0 + ((-0.0625 * Math.pow(Math.sin(x), 2.0)) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * (-0.0625 * (0.5 - (Math.cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 tmp = 0 if (x <= -102.0) or not (x <= 0.00083): tmp = (2.0 + ((-0.0625 * math.pow(math.sin(x), 2.0)) * (math.sqrt(2.0) * (math.cos(x) + -1.0)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + ((math.sqrt(2.0) * (1.0 - math.cos(y))) * (-0.0625 * (0.5 - (math.cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -102.0) || !(x <= 0.00083)) tmp = Float64(Float64(2.0 + Float64(Float64(-0.0625 * (sin(x) ^ 2.0)) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(-0.0625 * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = 0.0; if ((x <= -102.0) || ~((x <= 0.00083))) tmp = (2.0 + ((-0.0625 * (sin(x) ^ 2.0)) * (sqrt(2.0) * (cos(x) + -1.0)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * (-0.0625 * (0.5 - (cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -102.0], N[Not[LessEqual[x, 0.00083]], $MachinePrecision]], N[(N[(2.0 + N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -102 \lor \neg \left(x \leq 0.00083\right):\\
\;\;\;\;\frac{2 + \left(-0.0625 \cdot {\sin x}^{2}\right) \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t\_0 - 0.5\right) + \cos y \cdot \left(1.5 - t\_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(-0.0625 \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\end{array}
\end{array}
if x < -102 or 8.3000000000000001e-4 < x Initial program 98.8%
associate-*l*98.8%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in98.8%
associate-+l+98.9%
Simplified98.9%
Taylor expanded in y around 0 57.4%
associate-*r*57.4%
sub-neg57.4%
metadata-eval57.4%
Simplified57.4%
if -102 < x < 8.3000000000000001e-4Initial program 99.5%
Taylor expanded in x around 0 98.5%
Taylor expanded in x around 0 98.1%
associate-*r*98.1%
Simplified98.1%
unpow298.1%
sin-mult98.2%
Applied egg-rr98.2%
div-sub98.2%
+-inverses98.2%
cos-098.2%
metadata-eval98.2%
count-298.2%
Simplified98.2%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(if (or (<= y -1.25e-7) (not (<= y 7.5e-8)))
(/
(+
2.0
(*
(* (sqrt 2.0) (- 1.0 (cos y)))
(* -0.0625 (- 0.5 (/ (cos (* 2.0 y)) 2.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 2.5 (- (* (cos x) (fma (sqrt 5.0) 0.5 -0.5)) (* (sqrt 5.0) 0.5)))))))
double code(double x, double y) {
double tmp;
if ((y <= -1.25e-7) || !(y <= 7.5e-8)) {
tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * (-0.0625 * (0.5 - (cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (2.5 + ((cos(x) * fma(sqrt(5.0), 0.5, -0.5)) - (sqrt(5.0) * 0.5))));
}
return tmp;
}
function code(x, y) tmp = 0.0 if ((y <= -1.25e-7) || !(y <= 7.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(-0.0625 * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(2.5 + Float64(Float64(cos(x) * fma(sqrt(5.0), 0.5, -0.5)) - Float64(sqrt(5.0) * 0.5))))); end return tmp end
code[x_, y_] := If[Or[LessEqual[y, -1.25e-7], N[Not[LessEqual[y, 7.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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[(2.5 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;y \leq -1.25 \cdot 10^{-7} \lor \neg \left(y \leq 7.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(-0.0625 \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{2.5 + \left(\cos x \cdot \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right) - \sqrt{5} \cdot 0.5\right)}\\
\end{array}
\end{array}
if y < -1.24999999999999994e-7 or 7.4999999999999997e-8 < y Initial program 99.0%
Taylor expanded in x around 0 66.8%
Taylor expanded in x around 0 63.6%
associate-*r*63.6%
Simplified63.6%
unpow263.6%
sin-mult63.6%
Applied egg-rr63.6%
div-sub63.6%
+-inverses63.6%
cos-063.6%
metadata-eval63.6%
count-263.6%
Simplified63.6%
if -1.24999999999999994e-7 < y < 7.4999999999999997e-8Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 99.3%
associate--l+99.4%
*-commutative99.4%
fmm-def99.4%
metadata-eval99.4%
*-commutative99.4%
Applied egg-rr99.4%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= y -1.25e-7) (not (<= y 7.5e-8)))
(/
(+
2.0
(*
(* (sqrt 2.0) (- 1.0 (cos y)))
(* -0.0625 (- 0.5 (/ (cos (* 2.0 y)) 2.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(*
0.3333333333333333
(/
(+
2.0
(*
-0.0625
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
(- (+ (* (cos x) (- t_0 0.5)) 2.5) t_0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((y <= -1.25e-7) || !(y <= 7.5e-8)) {
tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * (-0.0625 * (0.5 - (cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / (((cos(x) * (t_0 - 0.5)) + 2.5) - t_0));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((y <= (-1.25d-7)) .or. (.not. (y <= 7.5d-8))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (1.0d0 - cos(y))) * ((-0.0625d0) * (0.5d0 - (cos((2.0d0 * y)) / 2.0d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (0.5d0 - (cos((2.0d0 * x)) / 2.0d0))))) / (((cos(x) * (t_0 - 0.5d0)) + 2.5d0) - t_0))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((y <= -1.25e-7) || !(y <= 7.5e-8)) {
tmp = (2.0 + ((Math.sqrt(2.0) * (1.0 - Math.cos(y))) * (-0.0625 * (0.5 - (Math.cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (0.5 - (Math.cos((2.0 * x)) / 2.0))))) / (((Math.cos(x) * (t_0 - 0.5)) + 2.5) - t_0));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (y <= -1.25e-7) or not (y <= 7.5e-8): tmp = (2.0 + ((math.sqrt(2.0) * (1.0 - math.cos(y))) * (-0.0625 * (0.5 - (math.cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) else: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (0.5 - (math.cos((2.0 * x)) / 2.0))))) / (((math.cos(x) * (t_0 - 0.5)) + 2.5) - t_0)) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((y <= -1.25e-7) || !(y <= 7.5e-8)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * Float64(-0.0625 * Float64(0.5 - Float64(cos(Float64(2.0 * y)) / 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0))))) / Float64(Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + 2.5) - t_0))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((y <= -1.25e-7) || ~((y <= 7.5e-8))) tmp = (2.0 + ((sqrt(2.0) * (1.0 - cos(y))) * (-0.0625 * (0.5 - (cos((2.0 * y)) / 2.0))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / (((cos(x) * (t_0 - 0.5)) + 2.5) - t_0)); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[y, -1.25e-7], N[Not[LessEqual[y, 7.5e-8]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(0.5 - N[(N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + 2.5), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;y \leq -1.25 \cdot 10^{-7} \lor \neg \left(y \leq 7.5 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot \left(-0.0625 \cdot \left(0.5 - \frac{\cos \left(2 \cdot y\right)}{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right)}{\left(\cos x \cdot \left(t\_0 - 0.5\right) + 2.5\right) - t\_0}\\
\end{array}
\end{array}
if y < -1.24999999999999994e-7 or 7.4999999999999997e-8 < y Initial program 99.0%
Taylor expanded in x around 0 66.8%
Taylor expanded in x around 0 63.6%
associate-*r*63.6%
Simplified63.6%
unpow263.6%
sin-mult63.6%
Applied egg-rr63.6%
div-sub63.6%
+-inverses63.6%
cos-063.6%
metadata-eval63.6%
count-263.6%
Simplified63.6%
if -1.24999999999999994e-7 < y < 7.4999999999999997e-8Initial program 99.5%
Simplified99.5%
Taylor expanded in y around 0 99.3%
unpow299.3%
sin-mult99.3%
Applied egg-rr99.3%
div-sub99.3%
+-inverses99.3%
cos-099.3%
metadata-eval99.3%
count-299.3%
*-commutative99.3%
Simplified99.3%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -1.8e-5) (not (<= x 2.5e-5)))
(*
0.3333333333333333
(/
(+
2.0
(*
-0.0625
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
(- (+ (* (cos x) (- t_0 0.5)) 2.5) t_0)))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 0.5 (+ t_0 (* (cos y) (- 1.5 t_0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -1.8e-5) || !(x <= 2.5e-5)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / (((cos(x) * (t_0 - 0.5)) + 2.5) - t_0));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + (t_0 + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-1.8d-5)) .or. (.not. (x <= 2.5d-5))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (0.5d0 - (cos((2.0d0 * x)) / 2.0d0))))) / (((cos(x) * (t_0 - 0.5d0)) + 2.5d0) - t_0))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (0.5d0 + (t_0 + (cos(y) * (1.5d0 - t_0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -1.8e-5) || !(x <= 2.5e-5)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (0.5 - (Math.cos((2.0 * x)) / 2.0))))) / (((Math.cos(x) * (t_0 - 0.5)) + 2.5) - 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)))))) / (0.5 + (t_0 + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -1.8e-5) or not (x <= 2.5e-5): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (0.5 - (math.cos((2.0 * x)) / 2.0))))) / (((math.cos(x) * (t_0 - 0.5)) + 2.5) - 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)))))) / (0.5 + (t_0 + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -1.8e-5) || !(x <= 2.5e-5)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0))))) / Float64(Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + 2.5) - 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(0.5 + Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -1.8e-5) || ~((x <= 2.5e-5))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / (((cos(x) * (t_0 - 0.5)) + 2.5) - t_0)); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + (t_0 + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -1.8e-5], N[Not[LessEqual[x, 2.5e-5]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + 2.5), $MachinePrecision] - t$95$0), $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[(0.5 + N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -1.8 \cdot 10^{-5} \lor \neg \left(x \leq 2.5 \cdot 10^{-5}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right)}{\left(\cos x \cdot \left(t\_0 - 0.5\right) + 2.5\right) - t\_0}\\
\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)}{0.5 + \left(t\_0 + \cos y \cdot \left(1.5 - t\_0\right)\right)}\\
\end{array}
\end{array}
if x < -1.80000000000000005e-5 or 2.50000000000000012e-5 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around 0 55.8%
unpow255.8%
sin-mult55.8%
Applied egg-rr55.8%
div-sub55.8%
+-inverses55.8%
cos-055.8%
metadata-eval55.8%
count-255.8%
*-commutative55.8%
Simplified55.8%
if -1.80000000000000005e-5 < x < 2.50000000000000012e-5Initial program 99.5%
Simplified99.5%
Taylor expanded in x around 0 98.5%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(*
0.3333333333333333
(/
(+
2.0
(*
-0.0625
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
(- (+ (* (cos x) (- t_0 0.5)) 2.5) t_0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / (((cos(x) * (t_0 - 0.5)) + 2.5) - t_0));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (0.5d0 - (cos((2.0d0 * x)) / 2.0d0))))) / (((cos(x) * (t_0 - 0.5d0)) + 2.5d0) - t_0))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (0.5 - (Math.cos((2.0 * x)) / 2.0))))) / (((Math.cos(x) * (t_0 - 0.5)) + 2.5) - t_0));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (0.5 - (math.cos((2.0 * x)) / 2.0))))) / (((math.cos(x) * (t_0 - 0.5)) + 2.5) - t_0))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0))))) / Float64(Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + 2.5) - t_0))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / (((cos(x) * (t_0 - 0.5)) + 2.5) - t_0)); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + 2.5), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right)}{\left(\cos x \cdot \left(t\_0 - 0.5\right) + 2.5\right) - t\_0}
\end{array}
\end{array}
Initial program 99.2%
Simplified99.2%
Taylor expanded in y around 0 58.2%
unpow258.2%
sin-mult58.2%
Applied egg-rr58.2%
div-sub58.2%
+-inverses58.2%
cos-058.2%
metadata-eval58.2%
count-258.2%
*-commutative58.2%
Simplified58.2%
Final simplification58.2%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+
2.0
(*
-0.0625
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (0.5d0 - (cos((2.0d0 * x)) / 2.0d0))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (0.5 - (Math.cos((2.0 * x)) / 2.0))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (0.5 - (math.cos((2.0 * x)) / 2.0))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right)}{2}
\end{array}
Initial program 99.2%
Simplified99.2%
Taylor expanded in y around 0 58.2%
Taylor expanded in x around 0 41.9%
unpow258.2%
sin-mult58.2%
Applied egg-rr41.9%
div-sub58.2%
+-inverses58.2%
cos-058.2%
metadata-eval58.2%
count-258.2%
*-commutative58.2%
Simplified41.9%
Final simplification41.9%
(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 99.2%
Simplified99.2%
Taylor expanded in y around 0 58.2%
Taylor expanded in x around 0 41.9%
Taylor expanded in x around 0 34.5%
associate-*r*34.5%
Simplified34.5%
Taylor expanded in x around 0 41.9%
herbie shell --seed 2024150
(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))))))