
(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 23 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 x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
2.0)
(+
3.0
(fma
(cos y)
(/ (- 3.0 (sqrt 5.0)) 0.6666666666666666)
(* (cos x) (* 1.5 (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))), ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))), 2.0) / (3.0 + fma(cos(y), ((3.0 - sqrt(5.0)) / 0.6666666666666666), (cos(x) * (1.5 * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(3.0 - sqrt(5.0)) / 0.6666666666666666), Float64(cos(x) * Float64(1.5 * Float64(sqrt(5.0) + -1.0)))))) end
code[x_, y_] := 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[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right), \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{3 - \sqrt{5}}{0.6666666666666666}, \cos x \cdot \left(1.5 \cdot \left(\sqrt{5} + -1\right)\right)\right)}
\end{array}
Initial program 99.2%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (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) / 16.0))), ((sin(y) - (sin(x) / 16.0)) * (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(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * 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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $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} \cdot \left(\sin x - \frac{\sin y}{16}\right), \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\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%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--41.5%
metadata-eval41.5%
add-sqr-sqrt41.5%
metadata-eval41.5%
Applied egg-rr99.3%
+-commutative41.5%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
2.0)
(+
3.0
(+
(* (cos y) (- 4.5 (/ (sqrt 5.0) 0.6666666666666666)))
(* (cos x) (+ (* (sqrt 5.0) 1.5) -1.5))))))
double code(double x, double y) {
return fma((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))), ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))), 2.0) / (3.0 + ((cos(y) * (4.5 - (sqrt(5.0) / 0.6666666666666666))) + (cos(x) * ((sqrt(5.0) * 1.5) + -1.5))));
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - Float64(sqrt(5.0) / 0.6666666666666666))) + Float64(cos(x) * Float64(Float64(sqrt(5.0) * 1.5) + -1.5))))) end
code[x_, y_] := 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[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - N[(N[Sqrt[5.0], $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision] + -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right), \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right), 2\right)}{3 + \left(\cos y \cdot \left(4.5 - \frac{\sqrt{5}}{0.6666666666666666}\right) + \cos x \cdot \left(\sqrt{5} \cdot 1.5 + -1.5\right)\right)}
\end{array}
Initial program 99.2%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
fma-udef99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
distribute-lft-in99.3%
metadata-eval99.3%
Applied egg-rr99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- (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) / 16.0))), ((sin(y) - (sin(x) / 16.0)) * (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(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * 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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $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} \cdot \left(\sin x - \frac{\sin y}{16}\right), \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\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%
+-commutative99.2%
associate-*l*99.2%
fma-def99.2%
associate-+l+99.2%
distribute-lft-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around inf 99.3%
associate-*r*99.3%
*-commutative99.3%
sub-neg99.3%
metadata-eval99.3%
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
(/
(+
2.0
(*
(sqrt 2.0)
(*
(- (cos x) (cos y))
(* (- (sin x) (* (sin y) 0.0625)) (- (sin y) (* (sin x) 0.0625))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625d0)) * (sin(y) - (sin(x) * 0.0625d0)))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.cos(x) - Math.cos(y)) * ((Math.sin(x) - (Math.sin(y) * 0.0625)) * (Math.sin(y) - (Math.sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (Math.cos(x) * ((Math.sqrt(5.0) + -1.0) / 2.0))) + (Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.cos(x) - math.cos(y)) * ((math.sin(x) - (math.sin(y) * 0.0625)) * (math.sin(y) - (math.sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (math.cos(x) * ((math.sqrt(5.0) + -1.0) / 2.0))) + (math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) - Float64(sin(y) * 0.0625)) * Float64(sin(y) - Float64(sin(x) * 0.0625)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((cos(x) - cos(y)) * ((sin(x) - (sin(y) * 0.0625)) * (sin(y) - (sin(x) * 0.0625)))))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\left(\sin x - \sin y \cdot 0.0625\right) \cdot \left(\sin y - \sin x \cdot 0.0625\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.2%
Taylor expanded in x around -inf 99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.0075) (not (<= x 6.8e-13)))
(/
(fma (* (sqrt 2.0) (sin x)) (* t_0 (- (cos x) (cos y))) 2.0)
(+ 3.0 (* 1.5 (+ (* (cos x) t_2) (* (cos y) t_1)))))
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_0)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_1 2.0))))))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.0075) || !(x <= 6.8e-13)) {
tmp = fma((sqrt(2.0) * sin(x)), (t_0 * (cos(x) - cos(y))), 2.0) / (3.0 + (1.5 * ((cos(x) * t_2) + (cos(y) * t_1))));
} else {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_0) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_1 / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.0075) || !(x <= 6.8e-13)) tmp = Float64(fma(Float64(sqrt(2.0) * sin(x)), Float64(t_0 * Float64(cos(x) - cos(y))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_2) + Float64(cos(y) * t_1))))); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_0) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_1 / 2.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.0075], N[Not[LessEqual[x, 6.8e-13]], $MachinePrecision]], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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] * t$95$0), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $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[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := 3 - \sqrt{5}\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.0075 \lor \neg \left(x \leq 6.8 \cdot 10^{-13}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \sin x, t_0 \cdot \left(\cos x - \cos y\right), 2\right)}{3 + 1.5 \cdot \left(\cos x \cdot t_2 + \cos y \cdot t_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_0\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_2}{2}\right) + \cos y \cdot \frac{t_1}{2}\right)}\\
\end{array}
\end{array}
if x < -0.0074999999999999997 or 6.80000000000000031e-13 < x Initial program 98.8%
+-commutative98.8%
associate-*l*98.9%
fma-def98.8%
associate-+l+98.8%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified98.9%
Taylor expanded in x around inf 98.9%
associate-*r*99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around inf 98.9%
distribute-lft-out99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 64.3%
if -0.0074999999999999997 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2 (fma (* (sqrt 2.0) (sin x)) (* t_1 (- (cos x) (cos y))) 2.0))
(t_3 (- 3.0 (sqrt 5.0))))
(if (<= x -0.0075)
(/
t_2
(+
3.0
(+
(* (cos y) (- 4.5 (/ (sqrt 5.0) 0.6666666666666666)))
(* (cos x) (+ (* (sqrt 5.0) 1.5) -1.5)))))
(if (<= x 6.8e-13)
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_1)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_0 2.0))) (* (cos y) (/ t_3 2.0)))))
(/ t_2 (+ 3.0 (* 1.5 (+ (* (cos x) t_0) (* (cos y) t_3)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = fma((sqrt(2.0) * sin(x)), (t_1 * (cos(x) - cos(y))), 2.0);
double t_3 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.0075) {
tmp = t_2 / (3.0 + ((cos(y) * (4.5 - (sqrt(5.0) / 0.6666666666666666))) + (cos(x) * ((sqrt(5.0) * 1.5) + -1.5))));
} else if (x <= 6.8e-13) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * (t_3 / 2.0))));
} else {
tmp = t_2 / (3.0 + (1.5 * ((cos(x) * t_0) + (cos(y) * t_3))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = fma(Float64(sqrt(2.0) * sin(x)), Float64(t_1 * Float64(cos(x) - cos(y))), 2.0) t_3 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.0075) tmp = Float64(t_2 / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - Float64(sqrt(5.0) / 0.6666666666666666))) + Float64(cos(x) * Float64(Float64(sqrt(5.0) * 1.5) + -1.5))))); elseif (x <= 6.8e-13) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_1) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(t_3 / 2.0))))); else tmp = Float64(t_2 / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_0) + Float64(cos(y) * t_3))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0075], N[(t$95$2 / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - N[(N[Sqrt[5.0], $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision] + -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.8e-13], 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] * t$95$1), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 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[(t$95$3 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \mathsf{fma}\left(\sqrt{2} \cdot \sin x, t_1 \cdot \left(\cos x - \cos y\right), 2\right)\\
t_3 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.0075:\\
\;\;\;\;\frac{t_2}{3 + \left(\cos y \cdot \left(4.5 - \frac{\sqrt{5}}{0.6666666666666666}\right) + \cos x \cdot \left(\sqrt{5} \cdot 1.5 + -1.5\right)\right)}\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-13}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_1\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{t_3}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_2}{3 + 1.5 \cdot \left(\cos x \cdot t_0 + \cos y \cdot t_3\right)}\\
\end{array}
\end{array}
if x < -0.0074999999999999997Initial program 98.8%
+-commutative98.8%
associate-*l*98.9%
fma-def98.9%
associate-+l+98.8%
distribute-lft-in98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in x around inf 98.9%
associate-*r*98.9%
*-commutative98.9%
sub-neg98.9%
metadata-eval98.9%
Simplified98.9%
fma-udef99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
distribute-lft-in99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 66.9%
if -0.0074999999999999997 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
if 6.80000000000000031e-13 < x Initial program 98.8%
+-commutative98.8%
associate-*l*98.9%
fma-def98.8%
associate-+l+98.9%
distribute-lft-in99.0%
metadata-eval99.0%
Simplified98.9%
Taylor expanded in x around inf 98.9%
associate-*r*99.0%
*-commutative99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around inf 98.9%
distribute-lft-out99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in y around 0 61.9%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.0075) (not (<= x 6.8e-13)))
(/
(+ 2.0 (* (* t_1 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_1)
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))))
(*
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 t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.0075) || !(x <= 6.8e-13)) {
tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (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) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.0075d0)) .or. (.not. (x <= 6.8d-13))) then
tmp = (2.0d0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_1) * (1.0d0 + (((-0.5d0) * (x * x)) - cos(y))))) / (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 t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.0075) || !(x <= 6.8e-13)) {
tmp = (2.0 + ((t_1 * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (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) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - Math.cos(y))))) / (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 t_1 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.0075) or not (x <= 6.8e-13): tmp = (2.0 + ((t_1 * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (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) * (math.sin(x) - (math.sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - math.cos(y))))) / (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) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.0075) || !(x <= 6.8e-13)) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / 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(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_1) * Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(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; t_1 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.0075) || ~((x <= 6.8e-13))) tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 + ((-0.5 * (x * x)) - cos(y))))) / (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]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0075], N[Not[LessEqual[x, 6.8e-13]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 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[(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}\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.0075 \lor \neg \left(x \leq 6.8 \cdot 10^{-13}\right):\\
\;\;\;\;\frac{2 + \left(t_1 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\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(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_1\right) \cdot \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\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 < -0.0074999999999999997 or 6.80000000000000031e-13 < x Initial program 98.8%
associate-*l*98.9%
associate-+l+98.8%
*-commutative98.8%
div-sub98.8%
metadata-eval98.8%
*-commutative98.8%
div-sub98.8%
metadata-eval98.8%
Simplified98.8%
Taylor expanded in y around 0 64.3%
if -0.0074999999999999997 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Final simplification81.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.007) (not (<= x 6.8e-13)))
(/
(+ 2.0 (* (* t_1 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(* (* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) t_1) (- 1.0 (cos y))))
(*
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 t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.007) || !(x <= 6.8e-13)) {
tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 - cos(y)))) / (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) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) / 2.0d0
t_1 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.007d0)) .or. (.not. (x <= 6.8d-13))) then
tmp = (2.0d0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * t_1) * (1.0d0 - cos(y)))) / (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 t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.007) || !(x <= 6.8e-13)) {
tmp = (2.0 + ((t_1 * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (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) * (Math.sin(x) - (Math.sin(y) / 16.0))) * t_1) * (1.0 - Math.cos(y)))) / (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 t_1 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.007) or not (x <= 6.8e-13): tmp = (2.0 + ((t_1 * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (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) * (math.sin(x) - (math.sin(y) / 16.0))) * t_1) * (1.0 - math.cos(y)))) / (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) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.007) || !(x <= 6.8e-13)) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / 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(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * t_1) * 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(3.0 - sqrt(5.0)) / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.007) || ~((x <= 6.8e-13))) tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * t_1) * (1.0 - cos(y)))) / (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]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.007], N[Not[LessEqual[x, 6.8e-13]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * N[(1.0 - N[Cos[y], $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}\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.007 \lor \neg \left(x \leq 6.8 \cdot 10^{-13}\right):\\
\;\;\;\;\frac{2 + \left(t_1 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\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(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot t_1\right) \cdot \left(1 - \cos y\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 < -0.00700000000000000015 or 6.80000000000000031e-13 < x Initial program 98.8%
associate-*l*98.9%
associate-+l+98.8%
*-commutative98.8%
div-sub98.8%
metadata-eval98.8%
*-commutative98.8%
div-sub98.8%
metadata-eval98.8%
Simplified98.8%
Taylor expanded in y around 0 64.3%
if -0.00700000000000000015 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.5%
Final simplification81.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.0042) (not (<= x 6.8e-13)))
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
(* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))
(/
(+
2.0
(*
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))
(*
(sqrt 2.0)
(+ (* 1.00390625 (* x (sin y))) (* -0.0625 (pow (sin 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 <= -0.0042) || !(x <= 6.8e-13)) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * (sqrt(2.0) * ((1.00390625 * (x * sin(y))) + (-0.0625 * pow(sin(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 <= (-0.0042d0)) .or. (.not. (x <= 6.8d-13))) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
else
tmp = (2.0d0 + ((1.0d0 + (((-0.5d0) * (x * x)) - cos(y))) * (sqrt(2.0d0) * ((1.00390625d0 * (x * sin(y))) + ((-0.0625d0) * (sin(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 <= -0.0042) || !(x <= 6.8e-13)) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
} else {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - Math.cos(y))) * (Math.sqrt(2.0) * ((1.00390625 * (x * Math.sin(y))) + (-0.0625 * Math.pow(Math.sin(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 <= -0.0042) or not (x <= 6.8e-13): tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0))))) else: tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - math.cos(y))) * (math.sqrt(2.0) * ((1.00390625 * (x * math.sin(y))) + (-0.0625 * math.pow(math.sin(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 <= -0.0042) || !(x <= 6.8e-13)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / 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(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))) * Float64(sqrt(2.0) * Float64(Float64(1.00390625 * Float64(x * sin(y))) + Float64(-0.0625 * (sin(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 <= -0.0042) || ~((x <= 6.8e-13))) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); else tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * (sqrt(2.0) * ((1.00390625 * (x * sin(y))) + (-0.0625 * (sin(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, -0.0042], N[Not[LessEqual[x, 6.8e-13]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.00390625 * N[(x * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.0042 \lor \neg \left(x \leq 6.8 \cdot 10^{-13}\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\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(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \left(1.00390625 \cdot \left(x \cdot \sin y\right) + -0.0625 \cdot {\sin y}^{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 < -0.00419999999999999974 or 6.80000000000000031e-13 < x Initial program 98.8%
associate-*l*98.9%
associate-+l+98.8%
*-commutative98.8%
div-sub98.8%
metadata-eval98.8%
*-commutative98.8%
div-sub98.8%
metadata-eval98.8%
Simplified98.8%
Taylor expanded in y around 0 64.3%
if -0.00419999999999999974 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Taylor expanded in x around 0 99.5%
+-commutative99.5%
*-commutative99.5%
associate-*r*99.5%
*-commutative99.5%
associate-*r*99.5%
distribute-rgt-out99.5%
distribute-lft1-in99.5%
associate-*l*99.5%
metadata-eval99.5%
*-commutative99.5%
Simplified99.5%
Final simplification81.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0)))))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.0023)
(*
0.3333333333333333
(/ t_1 (+ 1.0 (* (+ (* (cos x) t_2) (* (cos y) t_0)) 0.5))))
(if (<= x 6.8e-13)
(/
(+
2.0
(*
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))
(*
(sqrt 2.0)
(+ (* 1.00390625 (* x (sin y))) (* -0.0625 (pow (sin y) 2.0))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_0 2.0)))))
(/
t_1
(+
3.0
(*
3.0
(fma
(cos x)
(+ -0.5 (/ (sqrt 5.0) 2.0))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)));
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.0023) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * (sqrt(2.0) * ((1.00390625 * (x * sin(y))) + (-0.0625 * pow(sin(y), 2.0)))))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = t_1 / (3.0 + (3.0 * fma(cos(x), (-0.5 + (sqrt(5.0) / 2.0)), (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.0023) tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(Float64(Float64(cos(x) * t_2) + Float64(cos(y) * t_0)) * 0.5)))); elseif (x <= 6.8e-13) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))) * Float64(sqrt(2.0) * Float64(Float64(1.00390625 * Float64(x * sin(y))) + Float64(-0.0625 * (sin(y) ^ 2.0)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(3.0 * fma(cos(x), Float64(-0.5 + Float64(sqrt(5.0) / 2.0)), Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.0023], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.8e-13], N[(N[(2.0 + N[(N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.00390625 * N[(x * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $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[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(3.0 * N[(N[Cos[x], $MachinePrecision] * N[(-0.5 + N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.0023:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + \left(\cos x \cdot t_2 + \cos y \cdot t_0\right) \cdot 0.5}\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-13}:\\
\;\;\;\;\frac{2 + \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \left(1.00390625 \cdot \left(x \cdot \sin y\right) + -0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_2}{2}\right) + \cos y \cdot \frac{t_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 3 \cdot \mathsf{fma}\left(\cos x, -0.5 + \frac{\sqrt{5}}{2}, \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)}\\
\end{array}
\end{array}
if x < -0.0023Initial program 98.8%
Taylor expanded in y around 0 63.5%
Taylor expanded in x around inf 63.8%
associate-*r*63.8%
sub-neg63.8%
metadata-eval63.8%
associate-*r*63.8%
associate-*r*63.8%
associate-*r*63.8%
distribute-lft-out63.8%
Simplified63.8%
if -0.0023 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Taylor expanded in x around 0 99.5%
+-commutative99.5%
*-commutative99.5%
associate-*r*99.5%
*-commutative99.5%
associate-*r*99.5%
distribute-rgt-out99.5%
distribute-lft1-in99.5%
associate-*l*99.5%
metadata-eval99.5%
*-commutative99.5%
Simplified99.5%
if 6.80000000000000031e-13 < x Initial program 98.8%
Taylor expanded in y around 0 58.8%
*-un-lft-identity58.8%
*-commutative58.8%
sub-neg58.8%
metadata-eval58.8%
associate-+l+58.8%
Applied egg-rr58.8%
*-lft-identity58.8%
*-commutative58.8%
associate-*r*58.8%
distribute-lft-in58.8%
metadata-eval58.8%
fma-def58.8%
sub-neg58.8%
metadata-eval58.8%
Simplified58.8%
flip--58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
Applied egg-rr58.7%
swap-sqr58.7%
rem-square-sqrt58.9%
cancel-sign-sub-inv58.9%
metadata-eval58.9%
metadata-eval58.9%
metadata-eval58.9%
metadata-eval58.9%
+-commutative58.9%
*-commutative58.9%
fma-def58.9%
Simplified58.9%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (* (sqrt 5.0) 0.5))
(t_2
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0)))))
(t_3 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.005)
(*
0.3333333333333333
(/ t_2 (+ 1.0 (* (+ (* (cos x) t_3) (* (cos y) t_0)) 0.5))))
(if (<= x 6.8e-13)
(/
(+
2.0
(*
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))
(*
(sqrt 2.0)
(+ (* 1.00390625 (* x (sin y))) (* -0.0625 (pow (sin y) 2.0))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_3 2.0))) (* (cos y) (/ t_0 2.0)))))
(/
t_2
(+
3.0
(*
3.0
(+ (* (cos x) (+ -0.5 t_1)) (* (cos y) (/ 1.0 (+ 1.5 t_1)))))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) * 0.5;
double t_2 = 2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)));
double t_3 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.005) {
tmp = 0.3333333333333333 * (t_2 / (1.0 + (((cos(x) * t_3) + (cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * (sqrt(2.0) * ((1.00390625 * (x * sin(y))) + (-0.0625 * pow(sin(y), 2.0)))))) / (3.0 * ((1.0 + (cos(x) * (t_3 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = t_2 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_1)) + (cos(y) * (1.0 / (1.5 + t_1))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = 3.0d0 - sqrt(5.0d0)
t_1 = sqrt(5.0d0) * 0.5d0
t_2 = 2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))
t_3 = sqrt(5.0d0) + (-1.0d0)
if (x <= (-0.005d0)) then
tmp = 0.3333333333333333d0 * (t_2 / (1.0d0 + (((cos(x) * t_3) + (cos(y) * t_0)) * 0.5d0)))
else if (x <= 6.8d-13) then
tmp = (2.0d0 + ((1.0d0 + (((-0.5d0) * (x * x)) - cos(y))) * (sqrt(2.0d0) * ((1.00390625d0 * (x * sin(y))) + ((-0.0625d0) * (sin(y) ** 2.0d0)))))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_3 / 2.0d0))) + (cos(y) * (t_0 / 2.0d0))))
else
tmp = t_2 / (3.0d0 + (3.0d0 * ((cos(x) * ((-0.5d0) + t_1)) + (cos(y) * (1.0d0 / (1.5d0 + t_1))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 - Math.sqrt(5.0);
double t_1 = Math.sqrt(5.0) * 0.5;
double t_2 = 2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)));
double t_3 = Math.sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.005) {
tmp = 0.3333333333333333 * (t_2 / (1.0 + (((Math.cos(x) * t_3) + (Math.cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - Math.cos(y))) * (Math.sqrt(2.0) * ((1.00390625 * (x * Math.sin(y))) + (-0.0625 * Math.pow(Math.sin(y), 2.0)))))) / (3.0 * ((1.0 + (Math.cos(x) * (t_3 / 2.0))) + (Math.cos(y) * (t_0 / 2.0))));
} else {
tmp = t_2 / (3.0 + (3.0 * ((Math.cos(x) * (-0.5 + t_1)) + (Math.cos(y) * (1.0 / (1.5 + t_1))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 - math.sqrt(5.0) t_1 = math.sqrt(5.0) * 0.5 t_2 = 2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0))) t_3 = math.sqrt(5.0) + -1.0 tmp = 0 if x <= -0.005: tmp = 0.3333333333333333 * (t_2 / (1.0 + (((math.cos(x) * t_3) + (math.cos(y) * t_0)) * 0.5))) elif x <= 6.8e-13: tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - math.cos(y))) * (math.sqrt(2.0) * ((1.00390625 * (x * math.sin(y))) + (-0.0625 * math.pow(math.sin(y), 2.0)))))) / (3.0 * ((1.0 + (math.cos(x) * (t_3 / 2.0))) + (math.cos(y) * (t_0 / 2.0)))) else: tmp = t_2 / (3.0 + (3.0 * ((math.cos(x) * (-0.5 + t_1)) + (math.cos(y) * (1.0 / (1.5 + t_1)))))) return tmp
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) * 0.5) t_2 = Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) t_3 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.005) tmp = Float64(0.3333333333333333 * Float64(t_2 / Float64(1.0 + Float64(Float64(Float64(cos(x) * t_3) + Float64(cos(y) * t_0)) * 0.5)))); elseif (x <= 6.8e-13) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))) * Float64(sqrt(2.0) * Float64(Float64(1.00390625 * Float64(x * sin(y))) + Float64(-0.0625 * (sin(y) ^ 2.0)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_3 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(t_2 / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) * Float64(-0.5 + t_1)) + Float64(cos(y) * Float64(1.0 / Float64(1.5 + t_1))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 - sqrt(5.0); t_1 = sqrt(5.0) * 0.5; t_2 = 2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0))); t_3 = sqrt(5.0) + -1.0; tmp = 0.0; if (x <= -0.005) tmp = 0.3333333333333333 * (t_2 / (1.0 + (((cos(x) * t_3) + (cos(y) * t_0)) * 0.5))); elseif (x <= 6.8e-13) tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * (sqrt(2.0) * ((1.00390625 * (x * sin(y))) + (-0.0625 * (sin(y) ^ 2.0)))))) / (3.0 * ((1.0 + (cos(x) * (t_3 / 2.0))) + (cos(y) * (t_0 / 2.0)))); else tmp = t_2 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_1)) + (cos(y) * (1.0 / (1.5 + t_1)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.005], N[(0.3333333333333333 * N[(t$95$2 / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$3), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.8e-13], N[(N[(2.0 + N[(N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.00390625 * N[(x * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$3 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] * N[(-0.5 + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(1.5 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} \cdot 0.5\\
t_2 := 2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)\\
t_3 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.005:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_2}{1 + \left(\cos x \cdot t_3 + \cos y \cdot t_0\right) \cdot 0.5}\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-13}:\\
\;\;\;\;\frac{2 + \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \left(1.00390625 \cdot \left(x \cdot \sin y\right) + -0.0625 \cdot {\sin y}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_3}{2}\right) + \cos y \cdot \frac{t_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_2}{3 + 3 \cdot \left(\cos x \cdot \left(-0.5 + t_1\right) + \cos y \cdot \frac{1}{1.5 + t_1}\right)}\\
\end{array}
\end{array}
if x < -0.0050000000000000001Initial program 98.8%
Taylor expanded in y around 0 63.5%
Taylor expanded in x around inf 63.8%
associate-*r*63.8%
sub-neg63.8%
metadata-eval63.8%
associate-*r*63.8%
associate-*r*63.8%
associate-*r*63.8%
distribute-lft-out63.8%
Simplified63.8%
if -0.0050000000000000001 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Taylor expanded in x around 0 99.5%
+-commutative99.5%
*-commutative99.5%
associate-*r*99.5%
*-commutative99.5%
associate-*r*99.5%
distribute-rgt-out99.5%
distribute-lft1-in99.5%
associate-*l*99.5%
metadata-eval99.5%
*-commutative99.5%
Simplified99.5%
if 6.80000000000000031e-13 < x Initial program 98.8%
Taylor expanded in y around 0 58.8%
*-un-lft-identity58.8%
*-commutative58.8%
sub-neg58.8%
metadata-eval58.8%
associate-+l+58.8%
Applied egg-rr58.8%
*-lft-identity58.8%
*-commutative58.8%
associate-*r*58.8%
distribute-lft-in58.8%
metadata-eval58.8%
fma-def58.8%
sub-neg58.8%
metadata-eval58.8%
Simplified58.8%
flip--58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
Applied egg-rr58.7%
swap-sqr58.7%
metadata-eval58.7%
*-commutative58.7%
Simplified58.7%
fma-udef58.6%
+-commutative58.6%
div-inv58.6%
metadata-eval58.6%
cancel-sign-sub-inv58.6%
add-sqr-sqrt58.9%
metadata-eval58.9%
metadata-eval58.9%
metadata-eval58.9%
*-commutative58.9%
Applied egg-rr58.9%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0))))))
(if (<= x -0.000106)
(*
0.3333333333333333
(/
t_1
(+
1.0
(*
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0))))
0.5))))
(if (<= x 6.8e-13)
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- (sin y) (/ (sin x) 16.0)) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (- (+ t_0 (* (cos y) (- 1.5 t_0))) 0.5))))
(/
t_1
(+
3.0
(*
3.0
(+ (* (cos x) (+ -0.5 t_0)) (* (cos y) (/ 1.0 (+ 1.5 t_0)))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)));
double tmp;
if (x <= -0.000106) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5)));
} else {
tmp = t_1 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_0)) + (cos(y) * (1.0 / (1.5 + t_0))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = 2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))
if (x <= (-0.000106d0)) then
tmp = 0.3333333333333333d0 * (t_1 / (1.0d0 + (((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (cos(y) * (3.0d0 - sqrt(5.0d0)))) * 0.5d0)))
else if (x <= 6.8d-13) then
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * ((sin(y) - (sin(x) / 16.0d0)) * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((t_0 + (cos(y) * (1.5d0 - t_0))) - 0.5d0)))
else
tmp = t_1 / (3.0d0 + (3.0d0 * ((cos(x) * ((-0.5d0) + t_0)) + (cos(y) * (1.0d0 / (1.5d0 + t_0))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double t_1 = 2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)));
double tmp;
if (x <= -0.000106) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (Math.cos(y) * (3.0 - Math.sqrt(5.0)))) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * ((Math.sin(y) - (Math.sin(x) / 16.0)) * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (Math.cos(y) * (1.5 - t_0))) - 0.5)));
} else {
tmp = t_1 / (3.0 + (3.0 * ((Math.cos(x) * (-0.5 + t_0)) + (Math.cos(y) * (1.0 / (1.5 + t_0))))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = 2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0))) tmp = 0 if x <= -0.000106: tmp = 0.3333333333333333 * (t_1 / (1.0 + (((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (math.cos(y) * (3.0 - math.sqrt(5.0)))) * 0.5))) elif x <= 6.8e-13: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * ((math.sin(y) - (math.sin(x) / 16.0)) * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((t_0 + (math.cos(y) * (1.5 - t_0))) - 0.5))) else: tmp = t_1 / (3.0 + (3.0 * ((math.cos(x) * (-0.5 + t_0)) + (math.cos(y) * (1.0 / (1.5 + t_0)))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) tmp = 0.0 if (x <= -0.000106) tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) * 0.5)))); elseif (x <= 6.8e-13) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0))) - 0.5)))); else tmp = Float64(t_1 / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) * Float64(-0.5 + t_0)) + Float64(cos(y) * Float64(1.0 / Float64(1.5 + t_0))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0))); tmp = 0.0; if (x <= -0.000106) tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))) * 0.5))); elseif (x <= 6.8e-13) tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((sin(y) - (sin(x) / 16.0)) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((t_0 + (cos(y) * (1.5 - t_0))) - 0.5))); else tmp = t_1 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_0)) + (cos(y) * (1.0 / (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]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.000106], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(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] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.8e-13], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] * N[(-0.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := 2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)\\
\mathbf{if}\;x \leq -0.000106:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right) \cdot 0.5}\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-13}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\left(t_0 + \cos y \cdot \left(1.5 - t_0\right)\right) - 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 3 \cdot \left(\cos x \cdot \left(-0.5 + t_0\right) + \cos y \cdot \frac{1}{1.5 + t_0}\right)}\\
\end{array}
\end{array}
if x < -1.06e-4Initial program 98.8%
Taylor expanded in y around 0 63.5%
Taylor expanded in x around inf 63.8%
associate-*r*63.8%
sub-neg63.8%
metadata-eval63.8%
associate-*r*63.8%
associate-*r*63.8%
associate-*r*63.8%
distribute-lft-out63.8%
Simplified63.8%
if -1.06e-4 < x < 6.80000000000000031e-13Initial program 99.6%
associate-*l*99.6%
associate-+l+99.5%
*-commutative99.5%
div-sub99.5%
metadata-eval99.5%
*-commutative99.5%
div-sub99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in x around 0 99.5%
Taylor expanded in x around 0 99.4%
if 6.80000000000000031e-13 < x Initial program 98.8%
Taylor expanded in y around 0 58.8%
*-un-lft-identity58.8%
*-commutative58.8%
sub-neg58.8%
metadata-eval58.8%
associate-+l+58.8%
Applied egg-rr58.8%
*-lft-identity58.8%
*-commutative58.8%
associate-*r*58.8%
distribute-lft-in58.8%
metadata-eval58.8%
fma-def58.8%
sub-neg58.8%
metadata-eval58.8%
Simplified58.8%
flip--58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
Applied egg-rr58.7%
swap-sqr58.7%
metadata-eval58.7%
*-commutative58.7%
Simplified58.7%
fma-udef58.6%
+-commutative58.6%
div-inv58.6%
metadata-eval58.6%
cancel-sign-sub-inv58.6%
add-sqr-sqrt58.9%
metadata-eval58.9%
metadata-eval58.9%
metadata-eval58.9%
*-commutative58.9%
Applied egg-rr58.9%
Final simplification79.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0)))))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (* (sqrt 5.0) 0.5)))
(if (<= x -0.00085)
(*
0.3333333333333333
(/ t_1 (+ 1.0 (* (+ (* (cos x) t_2) (* (cos y) t_0)) 0.5))))
(if (<= x 6.8e-13)
(/
(+
2.0
(*
(+ 1.0 (- (* -0.5 (* x x)) (cos y)))
(* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_0 2.0)))))
(/
t_1
(+
3.0
(*
3.0
(+ (* (cos x) (+ -0.5 t_3)) (* (cos y) (/ 1.0 (+ 1.5 t_3)))))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)));
double t_2 = sqrt(5.0) + -1.0;
double t_3 = sqrt(5.0) * 0.5;
double tmp;
if (x <= -0.00085) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = t_1 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_3)) + (cos(y) * (1.0 / (1.5 + t_3))))));
}
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 - sqrt(5.0d0)
t_1 = 2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))
t_2 = sqrt(5.0d0) + (-1.0d0)
t_3 = sqrt(5.0d0) * 0.5d0
if (x <= (-0.00085d0)) then
tmp = 0.3333333333333333d0 * (t_1 / (1.0d0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5d0)))
else if (x <= 6.8d-13) then
tmp = (2.0d0 + ((1.0d0 + (((-0.5d0) * (x * x)) - cos(y))) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (-0.0625d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_2 / 2.0d0))) + (cos(y) * (t_0 / 2.0d0))))
else
tmp = t_1 / (3.0d0 + (3.0d0 * ((cos(x) * ((-0.5d0) + t_3)) + (cos(y) * (1.0d0 / (1.5d0 + t_3))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 - Math.sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)));
double t_2 = Math.sqrt(5.0) + -1.0;
double t_3 = Math.sqrt(5.0) * 0.5;
double tmp;
if (x <= -0.00085) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((Math.cos(x) * t_2) + (Math.cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - Math.cos(y))) * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (Math.cos(x) * (t_2 / 2.0))) + (Math.cos(y) * (t_0 / 2.0))));
} else {
tmp = t_1 / (3.0 + (3.0 * ((Math.cos(x) * (-0.5 + t_3)) + (Math.cos(y) * (1.0 / (1.5 + t_3))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 - math.sqrt(5.0) t_1 = 2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0))) t_2 = math.sqrt(5.0) + -1.0 t_3 = math.sqrt(5.0) * 0.5 tmp = 0 if x <= -0.00085: tmp = 0.3333333333333333 * (t_1 / (1.0 + (((math.cos(x) * t_2) + (math.cos(y) * t_0)) * 0.5))) elif x <= 6.8e-13: tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - math.cos(y))) * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (math.cos(x) * (t_2 / 2.0))) + (math.cos(y) * (t_0 / 2.0)))) else: tmp = t_1 / (3.0 + (3.0 * ((math.cos(x) * (-0.5 + t_3)) + (math.cos(y) * (1.0 / (1.5 + t_3)))))) return tmp
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if (x <= -0.00085) tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(Float64(Float64(cos(x) * t_2) + Float64(cos(y) * t_0)) * 0.5)))); elseif (x <= 6.8e-13) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 + Float64(Float64(-0.5 * Float64(x * x)) - cos(y))) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) * Float64(-0.5 + t_3)) + Float64(cos(y) * Float64(1.0 / Float64(1.5 + t_3))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 - sqrt(5.0); t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0))); t_2 = sqrt(5.0) + -1.0; t_3 = sqrt(5.0) * 0.5; tmp = 0.0; if (x <= -0.00085) tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5))); elseif (x <= 6.8e-13) tmp = (2.0 + ((1.0 + ((-0.5 * (x * x)) - cos(y))) * ((sin(y) ^ 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0)))); else tmp = t_1 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_3)) + (cos(y) * (1.0 / (1.5 + t_3)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[LessEqual[x, -0.00085], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.8e-13], N[(N[(2.0 + N[(N[(1.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $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[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] * N[(-0.5 + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(1.5 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)\\
t_2 := \sqrt{5} + -1\\
t_3 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.00085:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + \left(\cos x \cdot t_2 + \cos y \cdot t_0\right) \cdot 0.5}\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-13}:\\
\;\;\;\;\frac{2 + \left(1 + \left(-0.5 \cdot \left(x \cdot x\right) - \cos y\right)\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_2}{2}\right) + \cos y \cdot \frac{t_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 3 \cdot \left(\cos x \cdot \left(-0.5 + t_3\right) + \cos y \cdot \frac{1}{1.5 + t_3}\right)}\\
\end{array}
\end{array}
if x < -8.49999999999999953e-4Initial program 98.8%
Taylor expanded in y around 0 63.5%
Taylor expanded in x around inf 63.8%
associate-*r*63.8%
sub-neg63.8%
metadata-eval63.8%
associate-*r*63.8%
associate-*r*63.8%
associate-*r*63.8%
distribute-lft-out63.8%
Simplified63.8%
if -8.49999999999999953e-4 < x < 6.80000000000000031e-13Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Taylor expanded in x around 0 99.1%
associate-*r*99.1%
*-commutative99.1%
*-commutative99.1%
Simplified99.1%
if 6.80000000000000031e-13 < x Initial program 98.8%
Taylor expanded in y around 0 58.8%
*-un-lft-identity58.8%
*-commutative58.8%
sub-neg58.8%
metadata-eval58.8%
associate-+l+58.8%
Applied egg-rr58.8%
*-lft-identity58.8%
*-commutative58.8%
associate-*r*58.8%
distribute-lft-in58.8%
metadata-eval58.8%
fma-def58.8%
sub-neg58.8%
metadata-eval58.8%
Simplified58.8%
flip--58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
Applied egg-rr58.7%
swap-sqr58.7%
metadata-eval58.7%
*-commutative58.7%
Simplified58.7%
fma-udef58.6%
+-commutative58.6%
div-inv58.6%
metadata-eval58.6%
cancel-sign-sub-inv58.6%
add-sqr-sqrt58.9%
metadata-eval58.9%
metadata-eval58.9%
metadata-eval58.9%
*-commutative58.9%
Applied egg-rr58.9%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0)))))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (* (sqrt 5.0) 0.5)))
(if (<= x -0.00068)
(*
0.3333333333333333
(/ t_1 (+ 1.0 (* (+ (* (cos x) t_2) (* (cos y) t_0)) 0.5))))
(if (<= x 6.8e-13)
(/
(+
2.0
(* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_2 2.0))) (* (cos y) (/ t_0 2.0)))))
(/
t_1
(+
3.0
(*
3.0
(+ (* (cos x) (+ -0.5 t_3)) (* (cos y) (/ 1.0 (+ 1.5 t_3)))))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)));
double t_2 = sqrt(5.0) + -1.0;
double t_3 = sqrt(5.0) * 0.5;
double tmp;
if (x <= -0.00068) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
tmp = (2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = t_1 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_3)) + (cos(y) * (1.0 / (1.5 + t_3))))));
}
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 - sqrt(5.0d0)
t_1 = 2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))
t_2 = sqrt(5.0d0) + (-1.0d0)
t_3 = sqrt(5.0d0) * 0.5d0
if (x <= (-0.00068d0)) then
tmp = 0.3333333333333333d0 * (t_1 / (1.0d0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5d0)))
else if (x <= 6.8d-13) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_2 / 2.0d0))) + (cos(y) * (t_0 / 2.0d0))))
else
tmp = t_1 / (3.0d0 + (3.0d0 * ((cos(x) * ((-0.5d0) + t_3)) + (cos(y) * (1.0d0 / (1.5d0 + t_3))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 - Math.sqrt(5.0);
double t_1 = 2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)));
double t_2 = Math.sqrt(5.0) + -1.0;
double t_3 = Math.sqrt(5.0) * 0.5;
double tmp;
if (x <= -0.00068) {
tmp = 0.3333333333333333 * (t_1 / (1.0 + (((Math.cos(x) * t_2) + (Math.cos(y) * t_0)) * 0.5)));
} else if (x <= 6.8e-13) {
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) * (t_2 / 2.0))) + (Math.cos(y) * (t_0 / 2.0))));
} else {
tmp = t_1 / (3.0 + (3.0 * ((Math.cos(x) * (-0.5 + t_3)) + (Math.cos(y) * (1.0 / (1.5 + t_3))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 - math.sqrt(5.0) t_1 = 2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0))) t_2 = math.sqrt(5.0) + -1.0 t_3 = math.sqrt(5.0) * 0.5 tmp = 0 if x <= -0.00068: tmp = 0.3333333333333333 * (t_1 / (1.0 + (((math.cos(x) * t_2) + (math.cos(y) * t_0)) * 0.5))) elif x <= 6.8e-13: 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) * (t_2 / 2.0))) + (math.cos(y) * (t_0 / 2.0)))) else: tmp = t_1 / (3.0 + (3.0 * ((math.cos(x) * (-0.5 + t_3)) + (math.cos(y) * (1.0 / (1.5 + t_3)))))) return tmp
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if (x <= -0.00068) tmp = Float64(0.3333333333333333 * Float64(t_1 / Float64(1.0 + Float64(Float64(Float64(cos(x) * t_2) + Float64(cos(y) * t_0)) * 0.5)))); elseif (x <= 6.8e-13) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(t_1 / Float64(3.0 + Float64(3.0 * Float64(Float64(cos(x) * Float64(-0.5 + t_3)) + Float64(cos(y) * Float64(1.0 / Float64(1.5 + t_3))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 - sqrt(5.0); t_1 = 2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0))); t_2 = sqrt(5.0) + -1.0; t_3 = sqrt(5.0) * 0.5; tmp = 0.0; if (x <= -0.00068) tmp = 0.3333333333333333 * (t_1 / (1.0 + (((cos(x) * t_2) + (cos(y) * t_0)) * 0.5))); elseif (x <= 6.8e-13) tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_2 / 2.0))) + (cos(y) * (t_0 / 2.0)))); else tmp = t_1 / (3.0 + (3.0 * ((cos(x) * (-0.5 + t_3)) + (cos(y) * (1.0 / (1.5 + t_3)))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[LessEqual[x, -0.00068], N[(0.3333333333333333 * N[(t$95$1 / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.8e-13], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 + N[(3.0 * N[(N[(N[Cos[x], $MachinePrecision] * N[(-0.5 + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.0 / N[(1.5 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := 2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)\\
t_2 := \sqrt{5} + -1\\
t_3 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.00068:\\
\;\;\;\;0.3333333333333333 \cdot \frac{t_1}{1 + \left(\cos x \cdot t_2 + \cos y \cdot t_0\right) \cdot 0.5}\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-13}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_2}{2}\right) + \cos y \cdot \frac{t_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{3 + 3 \cdot \left(\cos x \cdot \left(-0.5 + t_3\right) + \cos y \cdot \frac{1}{1.5 + t_3}\right)}\\
\end{array}
\end{array}
if x < -6.8e-4Initial program 98.8%
Taylor expanded in y around 0 63.5%
Taylor expanded in x around inf 63.8%
associate-*r*63.8%
sub-neg63.8%
metadata-eval63.8%
associate-*r*63.8%
associate-*r*63.8%
associate-*r*63.8%
distribute-lft-out63.8%
Simplified63.8%
if -6.8e-4 < x < 6.80000000000000031e-13Initial program 99.6%
log1p-expm1-u99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.1%
associate-*r*99.1%
Simplified99.1%
if 6.80000000000000031e-13 < x Initial program 98.8%
Taylor expanded in y around 0 58.8%
*-un-lft-identity58.8%
*-commutative58.8%
sub-neg58.8%
metadata-eval58.8%
associate-+l+58.8%
Applied egg-rr58.8%
*-lft-identity58.8%
*-commutative58.8%
associate-*r*58.8%
distribute-lft-in58.8%
metadata-eval58.8%
fma-def58.8%
sub-neg58.8%
metadata-eval58.8%
Simplified58.8%
flip--58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
div-inv58.7%
metadata-eval58.7%
Applied egg-rr58.7%
swap-sqr58.7%
metadata-eval58.7%
*-commutative58.7%
Simplified58.7%
fma-udef58.6%
+-commutative58.6%
div-inv58.6%
metadata-eval58.6%
cancel-sign-sub-inv58.6%
add-sqr-sqrt58.9%
metadata-eval58.9%
metadata-eval58.9%
metadata-eval58.9%
*-commutative58.9%
Applied egg-rr58.9%
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 -0.00076) (not (<= x 0.00085)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0))))
(+ 1.0 (* (+ (* (cos x) t_1) (* (cos y) t_0)) 0.5))))
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0))))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00076) || !(x <= 0.00085)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)))) / (1.0 + (((cos(x) * t_1) + (cos(y) * t_0)) * 0.5)));
} 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_1 / 2.0))) + (cos(y) * (t_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 = 3.0d0 - sqrt(5.0d0)
t_1 = sqrt(5.0d0) + (-1.0d0)
if ((x <= (-0.00076d0)) .or. (.not. (x <= 0.00085d0))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))) / (1.0d0 + (((cos(x) * t_1) + (cos(y) * t_0)) * 0.5d0)))
else
tmp = (2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (3.0d0 * ((1.0d0 + (cos(x) * (t_1 / 2.0d0))) + (cos(y) * (t_0 / 2.0d0))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 - Math.sqrt(5.0);
double t_1 = Math.sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00076) || !(x <= 0.00085)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)))) / (1.0 + (((Math.cos(x) * t_1) + (Math.cos(y) * t_0)) * 0.5)));
} 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) * (t_1 / 2.0))) + (Math.cos(y) * (t_0 / 2.0))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 - math.sqrt(5.0) t_1 = math.sqrt(5.0) + -1.0 tmp = 0 if (x <= -0.00076) or not (x <= 0.00085): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0)))) / (1.0 + (((math.cos(x) * t_1) + (math.cos(y) * t_0)) * 0.5))) 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) * (t_1 / 2.0))) + (math.cos(y) * (t_0 / 2.0)))) return tmp
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00076) || !(x <= 0.00085)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) / Float64(1.0 + Float64(Float64(Float64(cos(x) * t_1) + Float64(cos(y) * t_0)) * 0.5)))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 - sqrt(5.0); t_1 = sqrt(5.0) + -1.0; tmp = 0.0; if ((x <= -0.00076) || ~((x <= 0.00085))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0)))) / (1.0 + (((cos(x) * t_1) + (cos(y) * t_0)) * 0.5))); else tmp = (2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0)))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00076], N[Not[LessEqual[x, 0.00085]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00076 \lor \neg \left(x \leq 0.00085\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)}{1 + \left(\cos x \cdot t_1 + \cos y \cdot t_0\right) \cdot 0.5}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_1}{2}\right) + \cos y \cdot \frac{t_0}{2}\right)}\\
\end{array}
\end{array}
if x < -7.6000000000000004e-4 or 8.49999999999999953e-4 < x Initial program 98.8%
Taylor expanded in y around 0 60.6%
Taylor expanded in x around inf 60.7%
associate-*r*60.7%
sub-neg60.7%
metadata-eval60.7%
associate-*r*60.7%
associate-*r*60.7%
associate-*r*60.7%
distribute-lft-out60.7%
Simplified60.7%
if -7.6000000000000004e-4 < x < 8.49999999999999953e-4Initial program 99.6%
log1p-expm1-u99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.1%
associate-*r*99.1%
Simplified99.1%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0))))
(+
1.0
(*
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* (cos y) (- 3.0 (sqrt 5.0))))
0.5)))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)))) / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))) * 0.5)));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))) / (1.0d0 + (((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (cos(y) * (3.0d0 - sqrt(5.0d0)))) * 0.5d0)))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)))) / (1.0 + (((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (Math.cos(y) * (3.0 - Math.sqrt(5.0)))) * 0.5)));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0)))) / (1.0 + (((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (math.cos(y) * (3.0 - math.sqrt(5.0)))) * 0.5)))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) / Float64(1.0 + Float64(Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) * 0.5)))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0)))) / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) + (cos(y) * (3.0 - sqrt(5.0)))) * 0.5))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(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] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)}{1 + \left(\cos x \cdot \left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right) \cdot 0.5}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in x around inf 61.8%
associate-*r*61.8%
sub-neg61.8%
metadata-eval61.8%
associate-*r*61.8%
associate-*r*61.8%
associate-*r*61.8%
distribute-lft-out61.8%
Simplified61.8%
Final simplification61.8%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (pow (sin x) 2.0) (+ (cos x) -1.0)))))
(+
1.0
(+ (* (* (cos x) (+ (sqrt 5.0) -1.0)) 0.5) (* (- 3.0 (sqrt 5.0)) 0.5))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * (pow(sin(x), 2.0) * (cos(x) + -1.0))))) / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - sqrt(5.0)) * 0.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((sin(x) ** 2.0d0) * (cos(x) + (-1.0d0)))))) / (1.0d0 + (((cos(x) * (sqrt(5.0d0) + (-1.0d0))) * 0.5d0) + ((3.0d0 - sqrt(5.0d0)) * 0.5d0))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.sqrt(2.0) * (Math.pow(Math.sin(x), 2.0) * (Math.cos(x) + -1.0))))) / (1.0 + (((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - Math.sqrt(5.0)) * 0.5))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.sqrt(2.0) * (math.pow(math.sin(x), 2.0) * (math.cos(x) + -1.0))))) / (1.0 + (((math.cos(x) * (math.sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - math.sqrt(5.0)) * 0.5))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))))) / Float64(1.0 + Float64(Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) * 0.5) + Float64(Float64(3.0 - sqrt(5.0)) * 0.5))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (sqrt(2.0) * ((sin(x) ^ 2.0) * (cos(x) + -1.0))))) / (1.0 + (((cos(x) * (sqrt(5.0) + -1.0)) * 0.5) + ((3.0 - sqrt(5.0)) * 0.5)))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right)\right)}{1 + \left(\left(\cos x \cdot \left(\sqrt{5} + -1\right)\right) \cdot 0.5 + \left(3 - \sqrt{5}\right) \cdot 0.5\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in y around 0 59.4%
Final simplification59.4%
(FPCore (x y) :precision binary64 (* 0.3333333333333333 (/ (+ 2.0 (* -0.0625 (* (* (sqrt 2.0) (pow (sin x) 2.0)) (+ (cos x) -1.0)))) (+ 1.0 (* 0.5 (+ (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0))))))))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * pow(sin(x), 2.0)) * (cos(x) + -1.0)))) / (1.0 + (0.5 * ((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 = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (sin(x) ** 2.0d0)) * (cos(x) + (-1.0d0))))) / (1.0d0 + (0.5d0 * ((3.0d0 - sqrt(5.0d0)) + (cos(x) * (sqrt(5.0d0) + (-1.0d0)))))))
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * Math.pow(Math.sin(x), 2.0)) * (Math.cos(x) + -1.0)))) / (1.0 + (0.5 * ((3.0 - Math.sqrt(5.0)) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0))))));
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * math.pow(math.sin(x), 2.0)) * (math.cos(x) + -1.0)))) / (1.0 + (0.5 * ((3.0 - math.sqrt(5.0)) + (math.cos(x) * (math.sqrt(5.0) + -1.0))))))
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * Float64(cos(x) + -1.0)))) / Float64(1.0 + Float64(0.5 * Float64(Float64(3.0 - sqrt(5.0)) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))))) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (sin(x) ^ 2.0)) * (cos(x) + -1.0)))) / (1.0 + (0.5 * ((3.0 - sqrt(5.0)) + (cos(x) * (sqrt(5.0) + -1.0)))))); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(0.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \left(\cos x + -1\right)\right)}{1 + 0.5 \cdot \left(\left(3 - \sqrt{5}\right) + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in y around 0 59.4%
associate-*r*59.4%
sub-neg59.4%
metadata-eval59.4%
associate-*r*59.4%
associate-*r*59.4%
associate-*r*59.4%
distribute-lft-out59.4%
Simplified59.4%
Final simplification59.4%
(FPCore (x y) :precision binary64 (* 0.6666666666666666 (/ 1.0 (+ 1.0 (* 0.5 (+ (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
return 0.6666666666666666 * (1.0 / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (3.0 - sqrt(5.0)))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.6666666666666666d0 * (1.0d0 / (1.0d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) + (cos(y) * (3.0d0 - sqrt(5.0d0)))))))
end function
public static double code(double x, double y) {
return 0.6666666666666666 * (1.0 / (1.0 + (0.5 * ((Math.sqrt(5.0) + -1.0) + (Math.cos(y) * (3.0 - Math.sqrt(5.0)))))));
}
def code(x, y): return 0.6666666666666666 * (1.0 / (1.0 + (0.5 * ((math.sqrt(5.0) + -1.0) + (math.cos(y) * (3.0 - math.sqrt(5.0)))))))
function code(x, y) return Float64(0.6666666666666666 * Float64(1.0 / Float64(1.0 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))))))) end
function tmp = code(x, y) tmp = 0.6666666666666666 * (1.0 / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (3.0 - sqrt(5.0))))))); end
code[x_, y_] := N[(0.6666666666666666 * N[(1.0 / N[(1.0 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.6666666666666666 \cdot \frac{1}{1 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in x around 0 41.5%
distribute-lft-out41.5%
+-commutative41.5%
sub-neg41.5%
metadata-eval41.5%
Simplified41.5%
div-inv41.5%
*-commutative41.5%
Applied egg-rr41.5%
Final simplification41.5%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (+ 1.0 (* 0.5 (+ (+ (sqrt 5.0) -1.0) (* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0)))))))))
double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (4.0 / (3.0 + sqrt(5.0)))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.6666666666666666d0 / (1.0d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) + (cos(y) * (4.0d0 / (3.0d0 + sqrt(5.0d0)))))))
end function
public static double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((Math.sqrt(5.0) + -1.0) + (Math.cos(y) * (4.0 / (3.0 + Math.sqrt(5.0)))))));
}
def code(x, y): return 0.6666666666666666 / (1.0 + (0.5 * ((math.sqrt(5.0) + -1.0) + (math.cos(y) * (4.0 / (3.0 + math.sqrt(5.0)))))))
function code(x, y) return Float64(0.6666666666666666 / Float64(1.0 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) + Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0)))))))) end
function tmp = code(x, y) tmp = 0.6666666666666666 / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (4.0 / (3.0 + sqrt(5.0))))))); end
code[x_, y_] := N[(0.6666666666666666 / N[(1.0 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{1 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) + \cos y \cdot \frac{4}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in x around 0 41.5%
distribute-lft-out41.5%
+-commutative41.5%
sub-neg41.5%
metadata-eval41.5%
Simplified41.5%
flip--41.5%
metadata-eval41.5%
add-sqr-sqrt41.5%
metadata-eval41.5%
Applied egg-rr41.5%
+-commutative41.5%
Simplified41.5%
Final simplification41.5%
(FPCore (x y) :precision binary64 (/ 0.6666666666666666 (+ 1.0 (* 0.5 (+ (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0))))))))
double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (3.0 - sqrt(5.0))))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.6666666666666666d0 / (1.0d0 + (0.5d0 * ((sqrt(5.0d0) + (-1.0d0)) + (cos(y) * (3.0d0 - sqrt(5.0d0))))))
end function
public static double code(double x, double y) {
return 0.6666666666666666 / (1.0 + (0.5 * ((Math.sqrt(5.0) + -1.0) + (Math.cos(y) * (3.0 - Math.sqrt(5.0))))));
}
def code(x, y): return 0.6666666666666666 / (1.0 + (0.5 * ((math.sqrt(5.0) + -1.0) + (math.cos(y) * (3.0 - math.sqrt(5.0))))))
function code(x, y) return Float64(0.6666666666666666 / Float64(1.0 + Float64(0.5 * Float64(Float64(sqrt(5.0) + -1.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0))))))) end
function tmp = code(x, y) tmp = 0.6666666666666666 / (1.0 + (0.5 * ((sqrt(5.0) + -1.0) + (cos(y) * (3.0 - sqrt(5.0)))))); end
code[x_, y_] := N[(0.6666666666666666 / N[(1.0 + N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.6666666666666666}{1 + 0.5 \cdot \left(\left(\sqrt{5} + -1\right) + \cos y \cdot \left(3 - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in x around 0 41.5%
distribute-lft-out41.5%
+-commutative41.5%
sub-neg41.5%
metadata-eval41.5%
Simplified41.5%
Final simplification41.5%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.2%
Taylor expanded in y around 0 61.7%
Taylor expanded in x around 0 41.5%
distribute-lft-out41.5%
+-commutative41.5%
sub-neg41.5%
metadata-eval41.5%
Simplified41.5%
Taylor expanded in y around 0 39.6%
Final simplification39.6%
herbie shell --seed 2023257
(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))))))