
(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 16 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(fma
(cos y)
(/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 0.6666666666666666)
(/ (* (cos x) (+ (sqrt 5.0) -1.0)) 0.6666666666666666)))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) / 0.6666666666666666), ((cos(x) * (sqrt(5.0) + -1.0)) / 0.6666666666666666)));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 0.6666666666666666), Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) / 0.6666666666666666)))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{\frac{4}{3 + \sqrt{5}}}{0.6666666666666666}, \frac{\cos x \cdot \left(\sqrt{5} + -1\right)}{0.6666666666666666}\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* (sin y) -0.0625))
(* (+ (sin y) (* -0.0625 (sin x))) (- (cos x) (cos y))))
2.0)
(+
3.0
(*
1.5
(+
(* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(x) + (sin(y) * -0.0625)) * ((sin(y) + (-0.0625 * sin(x))) * (cos(x) - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(y) * (4.0 / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) 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[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos y \cdot \frac{4}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.2%
sub-neg99.2%
metadata-eval99.2%
Simplified99.2%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
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%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (+ (sin x) (* (sin y) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(*
1.5
(+
(* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((sin(x) + (sin(y) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(y) * (4.0 / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0)))) + 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[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos y \cdot \frac{4}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.2%
sub-neg99.2%
metadata-eval99.2%
Simplified99.2%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
pow-prod-up99.3%
metadata-eval99.3%
metadata-eval99.3%
metadata-eval99.3%
Applied egg-rr99.3%
+-commutative99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* (sin y) -0.0625))
(* (+ (sin y) (* -0.0625 (sin x))) (- (cos x) (cos y))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((sin(y) + (-0.0625 * sin(x))) * (cos(x) - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + (sin(y) * (-0.0625d0))) * ((sin(y) + ((-0.0625d0) * sin(x))) * (cos(x) - cos(y)))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (Math.sin(y) * -0.0625)) * ((Math.sin(y) + (-0.0625 * Math.sin(x))) * (Math.cos(x) - Math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(x) + (math.sin(y) * -0.0625)) * ((math.sin(y) + (-0.0625 * math.sin(x))) * (math.cos(x) - math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(sin(y) * -0.0625)) * Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(cos(x) - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (sin(y) * -0.0625)) * ((sin(y) + (-0.0625 * sin(x))) * (cos(x) - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + \sin y \cdot -0.0625\right) \cdot \left(\left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\cos x - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.2%
sub-neg99.2%
metadata-eval99.2%
Simplified99.2%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
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%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00011) (not (<= x 1.5e-19)))
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) (sin x)) (- (sin y) (/ (sin x) 16.0)))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (+ (* 1.5 t_0) (* (/ (cos y) (+ 3.0 (sqrt 5.0))) 6.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00011) || !(x <= 1.5e-19)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((1.5 * t_0) + ((cos(y) / (3.0 + sqrt(5.0))) * 6.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00011) || !(x <= 1.5e-19)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_0) + Float64(Float64(cos(y) / Float64(3.0 + sqrt(5.0))) * 6.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00011], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$0), $MachinePrecision] + N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00011 \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\left(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(1.5 \cdot t_0 + \frac{\cos y}{3 + \sqrt{5}} \cdot 6\right)}\\
\end{array}
\end{array}
if x < -1.10000000000000004e-4 or 1.49999999999999996e-19 < x Initial program 98.8%
Taylor expanded in y around 0 65.8%
if -1.10000000000000004e-4 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
Taylor expanded in x around 0 99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.7%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0))
(t_1 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))
(t_2 (- (cos x) (cos y)))
(t_3 (pow (sin y) 2.0)))
(if (<= y -0.0085)
(/
(+ 2.0 (* t_2 (* t_3 (* (sqrt 2.0) -0.0625))))
(* 3.0 (+ t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= y 0.22)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (+ (sin x) (* y -0.0625))))
(+ (cos x) -1.0)))
(* 3.0 (+ t_1 (* (cos y) (/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 2.0)))))
(/
(+ 2.0 (* t_2 (* (sqrt 2.0) (* -0.0625 t_3))))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0));
double t_2 = cos(x) - cos(y);
double t_3 = pow(sin(y), 2.0);
double tmp;
if (y <= -0.0085) {
tmp = (2.0 + (t_2 * (t_3 * (sqrt(2.0) * -0.0625)))) / (3.0 * (t_1 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (y <= 0.22) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) + (y * -0.0625)))) * (cos(x) + -1.0))) / (3.0 * (t_1 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + (t_2 * (sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (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) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = 1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))
t_2 = cos(x) - cos(y)
t_3 = sin(y) ** 2.0d0
if (y <= (-0.0085d0)) then
tmp = (2.0d0 + (t_2 * (t_3 * (sqrt(2.0d0) * (-0.0625d0))))) / (3.0d0 * (t_1 + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else if (y <= 0.22d0) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) + (y * (-0.0625d0))))) * (cos(x) + (-1.0d0)))) / (3.0d0 * (t_1 + (cos(y) * ((4.0d0 / (3.0d0 + sqrt(5.0d0))) / 2.0d0))))
else
tmp = (2.0d0 + (t_2 * (sqrt(2.0d0) * ((-0.0625d0) * t_3)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (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) / 2.0;
double t_1 = 1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0));
double t_2 = Math.cos(x) - Math.cos(y);
double t_3 = Math.pow(Math.sin(y), 2.0);
double tmp;
if (y <= -0.0085) {
tmp = (2.0 + (t_2 * (t_3 * (Math.sqrt(2.0) * -0.0625)))) / (3.0 * (t_1 + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
} else if (y <= 0.22) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) + (y * -0.0625)))) * (Math.cos(x) + -1.0))) / (3.0 * (t_1 + (Math.cos(y) * ((4.0 / (3.0 + Math.sqrt(5.0))) / 2.0))));
} else {
tmp = (2.0 + (t_2 * (Math.sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = 1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0)) t_2 = math.cos(x) - math.cos(y) t_3 = math.pow(math.sin(y), 2.0) tmp = 0 if y <= -0.0085: tmp = (2.0 + (t_2 * (t_3 * (math.sqrt(2.0) * -0.0625)))) / (3.0 * (t_1 + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)))) elif y <= 0.22: tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) + (y * -0.0625)))) * (math.cos(x) + -1.0))) / (3.0 * (t_1 + (math.cos(y) * ((4.0 / (3.0 + math.sqrt(5.0))) / 2.0)))) else: tmp = (2.0 + (t_2 * (math.sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) t_2 = Float64(cos(x) - cos(y)) t_3 = sin(y) ^ 2.0 tmp = 0.0 if (y <= -0.0085) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(t_3 * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); elseif (y <= 0.22) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) + Float64(y * -0.0625)))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(t_1 + Float64(cos(y) * Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(sqrt(2.0) * Float64(-0.0625 * t_3)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = 1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)); t_2 = cos(x) - cos(y); t_3 = sin(y) ^ 2.0; tmp = 0.0; if (y <= -0.0085) tmp = (2.0 + (t_2 * (t_3 * (sqrt(2.0) * -0.0625)))) / (3.0 * (t_1 + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); elseif (y <= 0.22) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) + (y * -0.0625)))) * (cos(x) + -1.0))) / (3.0 * (t_1 + (cos(y) * ((4.0 / (3.0 + sqrt(5.0))) / 2.0)))); else tmp = (2.0 + (t_2 * (sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = 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$2 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[y, -0.0085], N[(N[(2.0 + N[(t$95$2 * N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.22], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + 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$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * t$95$3), $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}\\
t_1 := 1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\\
t_2 := \cos x - \cos y\\
t_3 := {\sin y}^{2}\\
\mathbf{if}\;y \leq -0.0085:\\
\;\;\;\;\frac{2 + t_2 \cdot \left(t_3 \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(t_1 + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;y \leq 0.22:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x + y \cdot -0.0625\right)\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(t_1 + \cos y \cdot \frac{\frac{4}{3 + \sqrt{5}}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_2 \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot t_3\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\end{array}
\end{array}
if y < -0.0085000000000000006Initial program 99.0%
Taylor expanded in x around 0 61.2%
associate-*r*61.2%
*-commutative61.2%
associate-*l*61.2%
Simplified61.2%
if -0.0085000000000000006 < y < 0.220000000000000001Initial program 99.3%
Taylor expanded in y around 0 98.8%
associate-*r*98.8%
distribute-rgt-out98.8%
*-commutative98.8%
Simplified98.8%
Taylor expanded in y around 0 98.6%
flip--99.4%
metadata-eval99.4%
pow1/299.4%
pow1/299.4%
pow-prod-up99.5%
metadata-eval99.5%
metadata-eval99.5%
metadata-eval99.5%
Applied egg-rr98.6%
+-commutative99.5%
Simplified98.6%
if 0.220000000000000001 < y Initial program 99.1%
associate-*l*99.0%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in99.0%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 60.4%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_1 (- (cos x) (cos y)))
(t_2 (/ (sqrt 5.0) 2.0))
(t_3 (pow (sin y) 2.0)))
(if (<= y -0.0118)
(/ (+ 2.0 (* t_1 (* t_3 (* (sqrt 2.0) -0.0625)))) t_0)
(if (<= y 0.22)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (+ (sin x) (* y -0.0625))))
(+ (cos x) -1.0)))
t_0)
(/
(+ 2.0 (* t_1 (* (sqrt 2.0) (* -0.0625 t_3))))
(*
3.0
(+ 1.0 (+ (* (cos x) (- t_2 0.5)) (* (cos y) (- 1.5 t_2))))))))))
double code(double x, double y) {
double t_0 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_1 = cos(x) - cos(y);
double t_2 = sqrt(5.0) / 2.0;
double t_3 = pow(sin(y), 2.0);
double tmp;
if (y <= -0.0118) {
tmp = (2.0 + (t_1 * (t_3 * (sqrt(2.0) * -0.0625)))) / t_0;
} else if (y <= 0.22) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) + (y * -0.0625)))) * (cos(x) + -1.0))) / t_0;
} else {
tmp = (2.0 + (t_1 * (sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = 3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)))
t_1 = cos(x) - cos(y)
t_2 = sqrt(5.0d0) / 2.0d0
t_3 = sin(y) ** 2.0d0
if (y <= (-0.0118d0)) then
tmp = (2.0d0 + (t_1 * (t_3 * (sqrt(2.0d0) * (-0.0625d0))))) / t_0
else if (y <= 0.22d0) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (sqrt(2.0d0) * (sin(x) + (y * (-0.0625d0))))) * (cos(x) + (-1.0d0)))) / t_0
else
tmp = (2.0d0 + (t_1 * (sqrt(2.0d0) * ((-0.0625d0) * t_3)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_2 - 0.5d0)) + (cos(y) * (1.5d0 - t_2)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)));
double t_1 = Math.cos(x) - Math.cos(y);
double t_2 = Math.sqrt(5.0) / 2.0;
double t_3 = Math.pow(Math.sin(y), 2.0);
double tmp;
if (y <= -0.0118) {
tmp = (2.0 + (t_1 * (t_3 * (Math.sqrt(2.0) * -0.0625)))) / t_0;
} else if (y <= 0.22) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.sqrt(2.0) * (Math.sin(x) + (y * -0.0625)))) * (Math.cos(x) + -1.0))) / t_0;
} else {
tmp = (2.0 + (t_1 * (Math.sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_2 - 0.5)) + (Math.cos(y) * (1.5 - t_2)))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))) t_1 = math.cos(x) - math.cos(y) t_2 = math.sqrt(5.0) / 2.0 t_3 = math.pow(math.sin(y), 2.0) tmp = 0 if y <= -0.0118: tmp = (2.0 + (t_1 * (t_3 * (math.sqrt(2.0) * -0.0625)))) / t_0 elif y <= 0.22: tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.sqrt(2.0) * (math.sin(x) + (y * -0.0625)))) * (math.cos(x) + -1.0))) / t_0 else: tmp = (2.0 + (t_1 * (math.sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((math.cos(x) * (t_2 - 0.5)) + (math.cos(y) * (1.5 - t_2))))) return tmp
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sqrt(5.0) / 2.0) t_3 = sin(y) ^ 2.0 tmp = 0.0 if (y <= -0.0118) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(t_3 * Float64(sqrt(2.0) * -0.0625)))) / t_0); elseif (y <= 0.22) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) + Float64(y * -0.0625)))) * Float64(cos(x) + -1.0))) / t_0); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sqrt(2.0) * Float64(-0.0625 * t_3)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_2 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_2)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))); t_1 = cos(x) - cos(y); t_2 = sqrt(5.0) / 2.0; t_3 = sin(y) ^ 2.0; tmp = 0.0; if (y <= -0.0118) tmp = (2.0 + (t_1 * (t_3 * (sqrt(2.0) * -0.0625)))) / t_0; elseif (y <= 0.22) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) + (y * -0.0625)))) * (cos(x) + -1.0))) / t_0; else tmp = (2.0 + (t_1 * (sqrt(2.0) * (-0.0625 * t_3)))) / (3.0 * (1.0 + ((cos(x) * (t_2 - 0.5)) + (cos(y) * (1.5 - t_2))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[y, -0.0118], N[(N[(2.0 + N[(t$95$1 * N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[y, 0.22], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_1 := \cos x - \cos y\\
t_2 := \frac{\sqrt{5}}{2}\\
t_3 := {\sin y}^{2}\\
\mathbf{if}\;y \leq -0.0118:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(t_3 \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{t_0}\\
\mathbf{elif}\;y \leq 0.22:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x + y \cdot -0.0625\right)\right)\right) \cdot \left(\cos x + -1\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot t_3\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_2 - 0.5\right) + \cos y \cdot \left(1.5 - t_2\right)\right)\right)}\\
\end{array}
\end{array}
if y < -0.0117999999999999997Initial program 99.0%
Taylor expanded in x around 0 61.2%
associate-*r*61.2%
*-commutative61.2%
associate-*l*61.2%
Simplified61.2%
if -0.0117999999999999997 < y < 0.220000000000000001Initial program 99.3%
Taylor expanded in y around 0 98.8%
associate-*r*98.8%
distribute-rgt-out98.8%
*-commutative98.8%
Simplified98.8%
Taylor expanded in y around 0 98.6%
if 0.220000000000000001 < y Initial program 99.1%
associate-*l*99.0%
distribute-rgt-in98.9%
cos-neg98.9%
distribute-rgt-in99.0%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in x around 0 60.4%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00036) (not (<= x 1.5e-19)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ (* (cos y) (/ 4.0 t_0)) (* (cos x) t_1)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin y) (* -0.0625 (sin x)))
(* (- 1.0 (cos y)) (+ x (* (sin y) -0.0625))))
2.0)
(+ 3.0 (+ (* 1.5 t_1) (* (/ (cos y) t_0) 6.0)))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00036) || !(x <= 1.5e-19)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + (1.5 * ((cos(y) * (4.0 / t_0)) + (cos(x) * t_1))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) + (-0.0625 * sin(x))) * ((1.0 - cos(y)) * (x + (sin(y) * -0.0625)))), 2.0) / (3.0 + ((1.5 * t_1) + ((cos(y) / t_0) * 6.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00036) || !(x <= 1.5e-19)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(4.0 / t_0)) + Float64(cos(x) * t_1))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) + Float64(-0.0625 * sin(x))) * Float64(Float64(1.0 - cos(y)) * Float64(x + Float64(sin(y) * -0.0625)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_1) + Float64(Float64(cos(y) / t_0) * 6.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00036], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(-0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x + N[(N[Sin[y], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$1), $MachinePrecision] + N[(N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00036 \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(\cos y \cdot \frac{4}{t_0} + \cos x \cdot t_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y + -0.0625 \cdot \sin x\right) \cdot \left(\left(1 - \cos y\right) \cdot \left(x + \sin y \cdot -0.0625\right)\right), 2\right)}{3 + \left(1.5 \cdot t_1 + \frac{\cos y}{t_0} \cdot 6\right)}\\
\end{array}
\end{array}
if x < -3.60000000000000023e-4 or 1.49999999999999996e-19 < x Initial program 98.8%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
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 0 62.9%
if -3.60000000000000023e-4 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
Taylor expanded in x around 0 99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
Simplified99.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -1.48e-5) (not (<= x 1.5e-19)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ (* (cos y) (/ 4.0 t_0)) (* (cos x) t_1)))))
(/
(fma (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y)))) 2.0)
(+ 3.0 (+ (* 1.5 t_1) (* (/ (cos y) t_0) 6.0)))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -1.48e-5) || !(x <= 1.5e-19)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + (1.5 * ((cos(y) * (4.0 / t_0)) + (cos(x) * t_1))));
} else {
tmp = fma(sqrt(2.0), (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))), 2.0) / (3.0 + ((1.5 * t_1) + ((cos(y) / t_0) * 6.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -1.48e-5) || !(x <= 1.5e-19)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(4.0 / t_0)) + Float64(cos(x) * t_1))))); else tmp = Float64(fma(sqrt(2.0), Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_1) + Float64(Float64(cos(y) / t_0) * 6.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -1.48e-5], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$1), $MachinePrecision] + N[(N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -1.48 \cdot 10^{-5} \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(\cos y \cdot \frac{4}{t_0} + \cos x \cdot t_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(1.5 \cdot t_1 + \frac{\cos y}{t_0} \cdot 6\right)}\\
\end{array}
\end{array}
if x < -1.4800000000000001e-5 or 1.49999999999999996e-19 < x Initial program 98.8%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
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 0 62.9%
if -1.4800000000000001e-5 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
Taylor expanded in x around 0 99.5%
*-commutative99.5%
associate-*l*99.5%
*-commutative99.5%
Simplified99.5%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -2.2e-6) (not (<= x 1.5e-19)))
(/
(+ 2.0 (* (+ (cos x) -1.0) (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(fma (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y)))) 2.0)
(+
3.0
(+
(* 1.5 (+ (sqrt 5.0) -1.0))
(* (/ (cos y) (+ 3.0 (sqrt 5.0))) 6.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -2.2e-6) || !(x <= 1.5e-19)) {
tmp = (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = fma(sqrt(2.0), (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))), 2.0) / (3.0 + ((1.5 * (sqrt(5.0) + -1.0)) + ((cos(y) / (3.0 + sqrt(5.0))) * 6.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -2.2e-6) || !(x <= 1.5e-19)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))); else tmp = Float64(fma(sqrt(2.0), Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * Float64(sqrt(5.0) + -1.0)) + Float64(Float64(cos(y) / Float64(3.0 + sqrt(5.0))) * 6.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -2.2e-6], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -2.2 \cdot 10^{-6} \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(1.5 \cdot \left(\sqrt{5} + -1\right) + \frac{\cos y}{3 + \sqrt{5}} \cdot 6\right)}\\
\end{array}
\end{array}
if x < -2.2000000000000001e-6 or 1.49999999999999996e-19 < x Initial program 98.8%
associate-*l*98.8%
distribute-rgt-in98.6%
cos-neg98.6%
distribute-rgt-in98.8%
associate-+l+98.8%
Simplified98.8%
Taylor expanded in y around 0 62.7%
Taylor expanded in y around 0 62.7%
if -2.2000000000000001e-6 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
Taylor expanded in x around 0 99.5%
*-commutative99.5%
associate-*l*99.5%
*-commutative99.5%
Simplified99.5%
Final simplification79.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))))
(if (or (<= x -4.5e-6) (not (<= x 1.5e-19)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 3.0 (* 1.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (/ 4.0 t_0)))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* 4.0 (/ (cos y) t_0))))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double tmp;
if ((x <= -4.5e-6) || !(x <= 1.5e-19)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * fma(cos(x), (sqrt(5.0) + -1.0), (4.0 / t_0))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / t_0))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if ((x <= -4.5e-6) || !(x <= 1.5e-19)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(3.0 + Float64(1.5 * fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(4.0 / t_0))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(4.0 * 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]}, If[Or[LessEqual[x, -4.5e-6], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], 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[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -4.5 \cdot 10^{-6} \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{3 + 1.5 \cdot \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \frac{4}{t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + 4 \cdot \frac{\cos y}{t_0}\right)\right)}\\
\end{array}
\end{array}
if x < -4.50000000000000011e-6 or 1.49999999999999996e-19 < x Initial program 98.8%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
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 61.8%
sub-neg61.8%
metadata-eval61.8%
fma-def61.8%
sub-neg61.8%
metadata-eval61.8%
associate-*r/61.8%
metadata-eval61.8%
Simplified61.8%
if -4.50000000000000011e-6 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Final simplification78.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -6.2e-5) (not (<= x 1.5e-19)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 3.0 (* 1.5 (fma (cos x) t_1 (/ 4.0 t_0)))))
(/
(fma (sqrt 2.0) (* (pow (sin y) 2.0) (* -0.0625 (- 1.0 (cos y)))) 2.0)
(+ 3.0 (+ (* 1.5 t_1) (* (/ (cos y) t_0) 6.0)))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -6.2e-5) || !(x <= 1.5e-19)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * fma(cos(x), t_1, (4.0 / t_0))));
} else {
tmp = fma(sqrt(2.0), (pow(sin(y), 2.0) * (-0.0625 * (1.0 - cos(y)))), 2.0) / (3.0 + ((1.5 * t_1) + ((cos(y) / t_0) * 6.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -6.2e-5) || !(x <= 1.5e-19)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(3.0 + Float64(1.5 * fma(cos(x), t_1, Float64(4.0 / t_0))))); else tmp = Float64(fma(sqrt(2.0), Float64((sin(y) ^ 2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(1.5 * t_1) + Float64(Float64(cos(y) / t_0) * 6.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -6.2e-5], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], 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[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(4.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(1.5 * t$95$1), $MachinePrecision] + N[(N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -6.2 \cdot 10^{-5} \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{3 + 1.5 \cdot \mathsf{fma}\left(\cos x, t_1, \frac{4}{t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, {\sin y}^{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + \left(1.5 \cdot t_1 + \frac{\cos y}{t_0} \cdot 6\right)}\\
\end{array}
\end{array}
if x < -6.20000000000000027e-5 or 1.49999999999999996e-19 < x Initial program 98.8%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
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 61.8%
sub-neg61.8%
metadata-eval61.8%
fma-def61.8%
sub-neg61.8%
metadata-eval61.8%
associate-*r/61.8%
metadata-eval61.8%
Simplified61.8%
if -6.20000000000000027e-5 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.7%
Taylor expanded in x around 0 99.5%
*-commutative99.5%
associate-*l*99.5%
*-commutative99.5%
Simplified99.5%
Final simplification78.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))))
(if (or (<= x -4.7e-6) (not (<= x 1.5e-19)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 3.0 (* 1.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* 4.0 (/ 1.0 t_0))))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* 4.0 (/ (cos y) t_0))))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double tmp;
if ((x <= -4.7e-6) || !(x <= 1.5e-19)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0)))));
} else {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / t_0))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = 3.0d0 + sqrt(5.0d0)
if ((x <= (-4.7d-6)) .or. (.not. (x <= 1.5d-19))) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (3.0d0 + (1.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (4.0d0 * (1.0d0 / t_0)))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * ((-1.0d0) + (sqrt(5.0d0) + (4.0d0 * (cos(y) / t_0))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + Math.sqrt(5.0);
double tmp;
if ((x <= -4.7e-6) || !(x <= 1.5e-19)) {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (3.0 + (1.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0)))));
} else {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + (1.5 * (-1.0 + (Math.sqrt(5.0) + (4.0 * (Math.cos(y) / t_0))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + math.sqrt(5.0) tmp = 0 if (x <= -4.7e-6) or not (x <= 1.5e-19): tmp = (2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (3.0 + (1.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0))))) else: tmp = (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + (1.5 * (-1.0 + (math.sqrt(5.0) + (4.0 * (math.cos(y) / t_0)))))) return tmp
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if ((x <= -4.7e-6) || !(x <= 1.5e-19)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(4.0 * Float64(1.0 / t_0)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(4.0 * Float64(cos(y) / t_0))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + sqrt(5.0); tmp = 0.0; if ((x <= -4.7e-6) || ~((x <= 1.5e-19))) tmp = (2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0))))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / t_0)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -4.7e-6], N[Not[LessEqual[x, 1.5e-19]], $MachinePrecision]], 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[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -4.7 \cdot 10^{-6} \lor \neg \left(x \leq 1.5 \cdot 10^{-19}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + 4 \cdot \frac{\cos y}{t_0}\right)\right)}\\
\end{array}
\end{array}
if x < -4.69999999999999989e-6 or 1.49999999999999996e-19 < x Initial program 98.8%
Simplified99.0%
Taylor expanded in y around inf 99.0%
distribute-lft-out98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
flip--99.0%
metadata-eval99.0%
pow1/299.0%
pow1/299.0%
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 61.8%
if -4.69999999999999989e-6 < x < 1.49999999999999996e-19Initial program 99.6%
Simplified99.6%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.6%
sub-neg99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
+-commutative99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
Simplified99.4%
Final simplification78.5%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))))) (+ 3.0 (* 1.5 (+ -1.0 (+ (sqrt 5.0) (* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))))))))
double code(double x, double y) {
return (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / (3.0 + sqrt(5.0))))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 + (1.5d0 * ((-1.0d0) + (sqrt(5.0d0) + (4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0))))))))
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (3.0 + (1.5 * (-1.0 + (Math.sqrt(5.0) + (4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0))))))));
}
def code(x, y): return (2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (3.0 + (1.5 * (-1.0 + (math.sqrt(5.0) + (4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0))))))))
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(-1.0 + Float64(sqrt(5.0) + Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0))))))))) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 + (1.5 * (-1.0 + (sqrt(5.0) + (4.0 * (cos(y) / (3.0 + sqrt(5.0)))))))); end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(-1.0 + N[(N[Sqrt[5.0], $MachinePrecision] + N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(-1 + \left(\sqrt{5} + 4 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.2%
sub-neg99.2%
metadata-eval99.2%
Simplified99.2%
flip--99.3%
metadata-eval99.3%
pow1/299.3%
pow1/299.3%
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%
Taylor expanded in x around 0 56.2%
*-commutative56.2%
sub-neg56.2%
metadata-eval56.2%
Simplified56.2%
Final simplification56.2%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))))) 6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / 6.0; end
code[x_, y_] := 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] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.1%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in y around 0 61.5%
Taylor expanded in y around 0 59.5%
Taylor expanded in x around 0 37.2%
Taylor expanded in y around 0 37.2%
Final simplification37.2%
(FPCore (x y) :precision binary64 (/ (+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow x 2.0))))) 6.0))
double code(double x, double y) {
return (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(x, 2.0))))) / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (x ** 2.0d0))))) / 6.0d0
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(x, 2.0))))) / 6.0;
}
def code(x, y): return (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(x, 2.0))))) / 6.0
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (x ^ 2.0))))) / 6.0) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (x ^ 2.0))))) / 6.0; end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[x, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {x}^{2}\right)\right)}{6}
\end{array}
Initial program 99.2%
associate-*l*99.1%
distribute-rgt-in99.1%
cos-neg99.1%
distribute-rgt-in99.1%
associate-+l+99.1%
Simplified99.1%
Taylor expanded in y around 0 61.5%
Taylor expanded in y around 0 59.5%
Taylor expanded in x around 0 37.2%
Taylor expanded in x around 0 29.3%
associate-*r*29.3%
*-commutative29.3%
Simplified29.3%
Final simplification29.3%
herbie shell --seed 2023336
(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))))))