
(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 28 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
(log
(exp
(fma
(cos y)
(* (/ 4.0 (+ 3.0 (sqrt 5.0))) 1.5)
(* (cos x) (/ 9.0 (fma (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 + log(exp(fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) * 1.5), (cos(x) * (9.0 / fma(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 + log(exp(fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) * 1.5), Float64(cos(x) * Float64(9.0 / fma(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[Log[N[Exp[N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(9.0 / N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + 1.5), $MachinePrecision]), $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 + \log \left(e^{\mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}} \cdot 1.5, \cos x \cdot \frac{9}{\mathsf{fma}\left(\sqrt{5}, 1.5, 1.5\right)}\right)}\right)}
\end{array}
Initial program 99.3%
+-commutative99.3%
associate-*l*99.3%
fma-def99.3%
associate-+l+99.3%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
flip-+99.2%
metadata-eval99.2%
Applied egg-rr99.2%
sub-neg99.2%
+-commutative99.2%
metadata-eval99.2%
swap-sqr99.2%
metadata-eval99.2%
*-commutative99.2%
rem-square-sqrt99.5%
metadata-eval99.5%
metadata-eval99.5%
*-commutative99.5%
fma-neg99.5%
metadata-eval99.5%
Simplified99.5%
add-log-exp99.5%
div-inv99.5%
metadata-eval99.5%
Applied egg-rr99.5%
Final simplification99.5%
(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)
(/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 0.6666666666666666)
(* (cos x) (/ 9.0 (fma (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 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) / 0.6666666666666666), (cos(x) * (9.0 / fma(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 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 0.6666666666666666), Float64(cos(x) * Float64(9.0 / fma(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[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(9.0 / N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + 1.5), $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{\frac{4}{3 + \sqrt{5}}}{0.6666666666666666}, \cos x \cdot \frac{9}{\mathsf{fma}\left(\sqrt{5}, 1.5, 1.5\right)}\right)}
\end{array}
Initial program 99.3%
+-commutative99.3%
associate-*l*99.3%
fma-def99.3%
associate-+l+99.3%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
flip-+99.2%
metadata-eval99.2%
Applied egg-rr99.2%
sub-neg99.2%
+-commutative99.2%
metadata-eval99.2%
swap-sqr99.2%
metadata-eval99.2%
*-commutative99.2%
rem-square-sqrt99.5%
metadata-eval99.5%
metadata-eval99.5%
*-commutative99.5%
fma-neg99.5%
metadata-eval99.5%
Simplified99.5%
Final simplification99.5%
(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
(+
(* 9.0 (/ (cos x) (+ 1.5 (* (sqrt 5.0) 1.5))))
(* 6.0 (/ (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 + ((9.0 * (cos(x) / (1.5 + (sqrt(5.0) * 1.5)))) + (6.0 * (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(Float64(9.0 * Float64(cos(x) / Float64(1.5 + Float64(sqrt(5.0) * 1.5)))) + Float64(6.0 * 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[(N[(9.0 * N[(N[Cos[x], $MachinePrecision] / N[(1.5 + N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \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(9 \cdot \frac{\cos x}{1.5 + \sqrt{5} \cdot 1.5} + 6 \cdot \frac{\cos y}{3 + \sqrt{5}}\right)}
\end{array}
Initial program 99.3%
+-commutative99.3%
associate-*l*99.3%
fma-def99.3%
associate-+l+99.3%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
flip-+99.2%
metadata-eval99.2%
Applied egg-rr99.2%
sub-neg99.2%
+-commutative99.2%
metadata-eval99.2%
swap-sqr99.2%
metadata-eval99.2%
*-commutative99.2%
rem-square-sqrt99.5%
metadata-eval99.5%
metadata-eval99.5%
*-commutative99.5%
fma-neg99.5%
metadata-eval99.5%
Simplified99.5%
Taylor expanded in y around inf 99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (- (cos x) (cos y))))
2.0)
(+
3.0
(+
(* (cos y) (- 4.5 (* (sqrt 5.0) 1.5)))
(* 1.5 (* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * (cos(x) - cos(y)))), 2.0) / (3.0 + ((cos(y) * (4.5 - (sqrt(5.0) * 1.5))) + (1.5 * (cos(x) * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(Float64(cos(y) * Float64(4.5 - Float64(sqrt(5.0) * 1.5))) + Float64(1.5 * Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[(N[Cos[y], $MachinePrecision] * N[(4.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + \left(\cos y \cdot \left(4.5 - \sqrt{5} \cdot 1.5\right) + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right)\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
fma-udef99.4%
div-inv99.4%
metadata-eval99.4%
div-inv99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.4%
(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
(+
(* 6.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (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 + ((6.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (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(6.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + 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[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $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(6 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} \cdot 1.5 - 1.5\right)\right)}
\end{array}
Initial program 99.3%
+-commutative99.3%
associate-*l*99.3%
fma-def99.3%
associate-+l+99.3%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
Taylor expanded in x around inf 99.4%
associate-*r*99.4%
*-commutative99.4%
sub-neg99.4%
metadata-eval99.4%
distribute-lft-in99.4%
metadata-eval99.4%
Simplified99.4%
flip--99.4%
metadata-eval99.4%
add-sqr-sqrt99.4%
metadata-eval99.4%
Applied egg-rr99.4%
+-commutative99.4%
Simplified99.4%
Taylor expanded in y around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (- (sin y) (* (sin x) 0.0625)) (- (sin x) (* (sin y) 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 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(y) - (sin(x) * 0.0625)) * (sin(x) - (sin(y) * 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 + ((cos(x) - cos(y)) * (sqrt(2.0d0) * ((sin(y) - (sin(x) * 0.0625d0)) * (sin(x) - (sin(y) * 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.cos(x) - Math.cos(y)) * (Math.sqrt(2.0) * ((Math.sin(y) - (Math.sin(x) * 0.0625)) * (Math.sin(x) - (Math.sin(y) * 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.cos(x) - math.cos(y)) * (math.sqrt(2.0) * ((math.sin(y) - (math.sin(x) * 0.0625)) * (math.sin(x) - (math.sin(y) * 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(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(Float64(sin(y) - Float64(sin(x) * 0.0625)) * Float64(sin(x) - Float64(sin(y) * 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 + ((cos(x) - cos(y)) * (sqrt(2.0) * ((sin(y) - (sin(x) * 0.0625)) * (sin(x) - (sin(y) * 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[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] * 0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $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 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\left(\sin y - \sin x \cdot 0.0625\right) \cdot \left(\sin x - \sin y \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 99.3%
Taylor expanded in x around -inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(/
(+
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 (+ (* (cos x) (- t_0 0.5)) (* (cos y) (- 1.5 t_0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
return (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) / 2.0d0
code = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * ((sin(y) - (sin(x) / 16.0d0)) * (cos(x) - cos(y))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_0 - 0.5d0)) + (cos(y) * (1.5d0 - t_0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) / 2.0;
return (2.0 + ((Math.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.cos(x) * (t_0 - 0.5)) + (Math.cos(y) * (1.5 - t_0)))));
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 return (2.0 + ((math.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.cos(x) * (t_0 - 0.5)) + (math.cos(y) * (1.5 - t_0)))))
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) return Float64(Float64(2.0 + Float64(Float64(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))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_0 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_0)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) / 2.0; tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_0 - 0.5)) + (cos(y) * (1.5 - t_0))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 + N[(N[(N[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]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\cos x - \cos y\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_0 - 0.5\right) + \cos y \cdot \left(1.5 - t_0\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(/
(+
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 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
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 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = (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 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0)))))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
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.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5)))));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 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.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5)))))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return 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(cos(x) - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; 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 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))))); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, 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[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\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(\cos x - \cos y\right)\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)}
\end{array}
\end{array}
Initial program 99.3%
associate-*l*99.3%
associate-+l+99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
*-commutative99.3%
div-sub99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.3%
metadata-eval99.3%
div-inv99.3%
metadata-eval99.3%
div-inv99.3%
metadata-eval99.3%
div-inv99.3%
metadata-eval99.3%
Applied egg-rr99.3%
swap-sqr99.3%
rem-square-sqrt99.4%
cancel-sign-sub-inv99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-def99.4%
Simplified99.4%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)) (t_1 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.057) (not (<= x 7.5e-5)))
(/
(+ 2.0 (* (* t_1 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))
(/
(+
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) * 0.5;
double t_1 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.057) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
} 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) * 0.5d0
t_1 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.057d0)) .or. (.not. (x <= 7.5d-5))) then
tmp = (2.0d0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0)))))
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) * 0.5;
double t_1 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.057) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((t_1 * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5)))));
} 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) * 0.5 t_1 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.057) or not (x <= 7.5e-5): tmp = (2.0 + ((t_1 * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5))))) 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) * 0.5) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.057) || !(x <= 7.5e-5)) 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(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))); 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) * 0.5; t_1 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.057) || ~((x <= 7.5e-5))) tmp = (2.0 + ((t_1 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))))); 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] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.057], N[Not[LessEqual[x, 7.5e-5]], $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[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $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 := \sqrt{5} \cdot 0.5\\
t_1 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.057 \lor \neg \left(x \leq 7.5 \cdot 10^{-5}\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(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\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 < -0.0570000000000000021 or 7.49999999999999934e-5 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
Applied egg-rr98.8%
swap-sqr98.8%
rem-square-sqrt99.0%
cancel-sign-sub-inv99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
+-commutative99.0%
*-commutative99.0%
fma-def99.0%
Simplified99.0%
Taylor expanded in x around inf 99.0%
Taylor expanded in y around 0 64.9%
if -0.0570000000000000021 < x < 7.49999999999999934e-5Initial program 99.6%
Taylor expanded in x around 0 99.6%
associate--l+99.6%
unpow299.6%
Simplified99.6%
Final simplification84.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.0053) (not (<= x 7.5e-5)))
(/
(+ 2.0 (* (* t_2 (- (cos x) (cos y))) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))
(/
(+
2.0
(* (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))) (* t_2 (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (+ (* (cos x) (- t_1 0.5)) (* (cos y) (- 1.5 t_1)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sqrt(5.0) / 2.0;
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.0053) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((t_2 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_2 * (1.0 - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (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) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = sqrt(5.0d0) / 2.0d0
t_2 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.0053d0)) .or. (.not. (x <= 7.5d-5))) then
tmp = (2.0d0 + ((t_2 * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0)))))
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (t_2 * (1.0d0 - cos(y))))) / (3.0d0 * (1.0d0 + ((cos(x) * (t_1 - 0.5d0)) + (cos(y) * (1.5d0 - t_1)))))
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 = Math.sqrt(5.0) / 2.0;
double t_2 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.0053) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((t_2 * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (t_2 * (1.0 - Math.cos(y))))) / (3.0 * (1.0 + ((Math.cos(x) * (t_1 - 0.5)) + (Math.cos(y) * (1.5 - t_1)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.sqrt(5.0) / 2.0 t_2 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.0053) or not (x <= 7.5e-5): tmp = (2.0 + ((t_2 * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5))))) else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (t_2 * (1.0 - math.cos(y))))) / (3.0 * (1.0 + ((math.cos(x) * (t_1 - 0.5)) + (math.cos(y) * (1.5 - t_1))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.0053) || !(x <= 7.5e-5)) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * Float64(cos(x) - cos(y))) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(t_2 * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(t_1 - 0.5)) + Float64(cos(y) * Float64(1.5 - t_1)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = sqrt(5.0) / 2.0; t_2 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.0053) || ~((x <= 7.5e-5))) tmp = (2.0 + ((t_2 * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))))); else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (t_2 * (1.0 - cos(y))))) / (3.0 * (1.0 + ((cos(x) * (t_1 - 0.5)) + (cos(y) * (1.5 - t_1))))); 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[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0053], N[Not[LessEqual[x, 7.5e-5]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$2 * 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[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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[(t$95$2 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.0053 \lor \neg \left(x \leq 7.5 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + \left(t_2 \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(t_2 \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\cos x \cdot \left(t_1 - 0.5\right) + \cos y \cdot \left(1.5 - t_1\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.00530000000000000002 or 7.49999999999999934e-5 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
Applied egg-rr98.8%
swap-sqr98.8%
rem-square-sqrt99.0%
cancel-sign-sub-inv99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
+-commutative99.0%
*-commutative99.0%
fma-def99.0%
Simplified99.0%
Taylor expanded in x around inf 99.0%
Taylor expanded in y around 0 64.9%
if -0.00530000000000000002 < x < 7.49999999999999934e-5Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
Taylor expanded in x around 0 99.2%
Final simplification83.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (- (cos x) (cos y)))
(t_2 (- (sin y) (/ (sin x) 16.0))))
(if (or (<= x -0.0125) (not (<= x 7.5e-5)))
(/
(+ 2.0 (* (* t_2 t_1) (* (sqrt 2.0) (sin x))))
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))
(/
(+ 2.0 (* t_1 (* t_2 (* (sqrt 2.0) (+ x (* (sin y) -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) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = cos(x) - cos(y);
double t_2 = sin(y) - (sin(x) / 16.0);
double tmp;
if ((x <= -0.0125) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((t_2 * t_1) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + (t_1 * (t_2 * (sqrt(2.0) * (x + (sin(y) * -0.0625)))))) / (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) :: t_2
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = cos(x) - cos(y)
t_2 = sin(y) - (sin(x) / 16.0d0)
if ((x <= (-0.0125d0)) .or. (.not. (x <= 7.5d-5))) then
tmp = (2.0d0 + ((t_2 * t_1) * (sqrt(2.0d0) * sin(x)))) / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0)))))
else
tmp = (2.0d0 + (t_1 * (t_2 * (sqrt(2.0d0) * (x + (sin(y) * (-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 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 = Math.cos(x) - Math.cos(y);
double t_2 = Math.sin(y) - (Math.sin(x) / 16.0);
double tmp;
if ((x <= -0.0125) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((t_2 * t_1) * (Math.sqrt(2.0) * Math.sin(x)))) / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + (t_1 * (t_2 * (Math.sqrt(2.0) * (x + (Math.sin(y) * -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))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.cos(x) - math.cos(y) t_2 = math.sin(y) - (math.sin(x) / 16.0) tmp = 0 if (x <= -0.0125) or not (x <= 7.5e-5): tmp = (2.0 + ((t_2 * t_1) * (math.sqrt(2.0) * math.sin(x)))) / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5))))) else: tmp = (2.0 + (t_1 * (t_2 * (math.sqrt(2.0) * (x + (math.sin(y) * -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)))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) tmp = 0.0 if ((x <= -0.0125) || !(x <= 7.5e-5)) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * t_1) * Float64(sqrt(2.0) * sin(x)))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(t_2 * Float64(sqrt(2.0) * Float64(x + Float64(sin(y) * -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 return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = cos(x) - cos(y); t_2 = sin(y) - (sin(x) / 16.0); tmp = 0.0; if ((x <= -0.0125) || ~((x <= 7.5e-5))) tmp = (2.0 + ((t_2 * t_1) * (sqrt(2.0) * sin(x)))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))))); else tmp = (2.0 + (t_1 * (t_2 * (sqrt(2.0) * (x + (sin(y) * -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 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[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0125], N[Not[LessEqual[x, 7.5e-5]], $MachinePrecision]], N[(N[(2.0 + N[(N[(t$95$2 * t$95$1), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(N[Sin[y], $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}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \cos x - \cos y\\
t_2 := \sin y - \frac{\sin x}{16}\\
\mathbf{if}\;x \leq -0.0125 \lor \neg \left(x \leq 7.5 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + \left(t_2 \cdot t_1\right) \cdot \left(\sqrt{2} \cdot \sin x\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(t_2 \cdot \left(\sqrt{2} \cdot \left(x + \sin y \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}
\end{array}
if x < -0.012500000000000001 or 7.49999999999999934e-5 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
Applied egg-rr98.8%
swap-sqr98.8%
rem-square-sqrt99.0%
cancel-sign-sub-inv99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
+-commutative99.0%
*-commutative99.0%
fma-def99.0%
Simplified99.0%
Taylor expanded in x around inf 99.0%
Taylor expanded in y around 0 64.9%
if -0.012500000000000001 < x < 7.49999999999999934e-5Initial program 99.6%
add-log-exp99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
associate-*l*99.4%
metadata-eval99.4%
distribute-rgt-neg-in99.4%
*-commutative99.4%
distribute-lft-out99.4%
distribute-lft-neg-in99.4%
metadata-eval99.4%
Simplified99.4%
Final simplification83.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)) (t_1 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.0053) (not (<= x 7.5e-5)))
(/
(+
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
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- 1.0 (cos y)) (+ (sin y) (* x -0.0625)))))
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_1)) (* (cos x) (- t_1 0.5)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double t_1 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.0053) || !(x <= 7.5e-5)) {
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 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((1.0 - cos(y)) * (sin(y) + (x * -0.0625))))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_1)) + (cos(x) * (t_1 - 0.5)))));
}
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 = sqrt(5.0d0) * 0.5d0
if ((x <= (-0.0053d0)) .or. (.not. (x <= 7.5d-5))) 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 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * ((1.0d0 - cos(y)) * (sin(y) + (x * (-0.0625d0)))))) / (3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_1)) + (cos(x) * (t_1 - 0.5d0)))))
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.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.0053) || !(x <= 7.5e-5)) {
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 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * ((1.0 - Math.cos(y)) * (Math.sin(y) + (x * -0.0625))))) / (3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_1)) + (Math.cos(x) * (t_1 - 0.5)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) / 2.0 t_1 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -0.0053) or not (x <= 7.5e-5): 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 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * ((1.0 - math.cos(y)) * (math.sin(y) + (x * -0.0625))))) / (3.0 * (1.0 + ((math.cos(y) / (1.5 + t_1)) + (math.cos(x) * (t_1 - 0.5))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) t_1 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.0053) || !(x <= 7.5e-5)) 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(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(1.0 - cos(y)) * Float64(sin(y) + Float64(x * -0.0625))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_1)) + Float64(cos(x) * Float64(t_1 - 0.5)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) / 2.0; t_1 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -0.0053) || ~((x <= 7.5e-5))) 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 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((1.0 - cos(y)) * (sin(y) + (x * -0.0625))))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_1)) + (cos(x) * (t_1 - 0.5))))); 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[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.0053], N[Not[LessEqual[x, 7.5e-5]], $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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
t_1 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.0053 \lor \neg \left(x \leq 7.5 \cdot 10^{-5}\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(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(1 - \cos y\right) \cdot \left(\sin y + x \cdot -0.0625\right)\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_1} + \cos x \cdot \left(t_1 - 0.5\right)\right)\right)}\\
\end{array}
\end{array}
if x < -0.00530000000000000002 or 7.49999999999999934e-5 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
Simplified98.9%
Taylor expanded in y around 0 64.8%
if -0.00530000000000000002 < x < 7.49999999999999934e-5Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-def99.7%
Simplified99.7%
Taylor expanded in x around inf 99.6%
Taylor expanded in x around 0 99.2%
*-commutative99.2%
associate-*l*99.2%
distribute-lft-out99.2%
Simplified99.2%
Final simplification83.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5)))))))
(if (or (<= x -0.0035) (not (<= x 7.5e-5)))
(/
(+
2.0
(*
(* (- (sin y) (/ (sin x) 16.0)) (- (cos x) (cos y)))
(* (sqrt 2.0) (sin x))))
t_1)
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (- 1.0 (cos y)) (+ (sin y) (* x -0.0625)))))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = 3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))));
double tmp;
if ((x <= -0.0035) || !(x <= 7.5e-5)) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / t_1;
} else {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((1.0 - cos(y)) * (sin(y) + (x * -0.0625))))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = 3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0))))
if ((x <= (-0.0035d0)) .or. (.not. (x <= 7.5d-5))) then
tmp = (2.0d0 + (((sin(y) - (sin(x) / 16.0d0)) * (cos(x) - cos(y))) * (sqrt(2.0d0) * sin(x)))) / t_1
else
tmp = (2.0d0 + ((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * ((1.0d0 - cos(y)) * (sin(y) + (x * (-0.0625d0)))))) / t_1
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 = 3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5))));
double tmp;
if ((x <= -0.0035) || !(x <= 7.5e-5)) {
tmp = (2.0 + (((Math.sin(y) - (Math.sin(x) / 16.0)) * (Math.cos(x) - Math.cos(y))) * (Math.sqrt(2.0) * Math.sin(x)))) / t_1;
} else {
tmp = (2.0 + ((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * ((1.0 - Math.cos(y)) * (Math.sin(y) + (x * -0.0625))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = 3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5)))) tmp = 0 if (x <= -0.0035) or not (x <= 7.5e-5): tmp = (2.0 + (((math.sin(y) - (math.sin(x) / 16.0)) * (math.cos(x) - math.cos(y))) * (math.sqrt(2.0) * math.sin(x)))) / t_1 else: tmp = (2.0 + ((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * ((1.0 - math.cos(y)) * (math.sin(y) + (x * -0.0625))))) / t_1 return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5))))) tmp = 0.0 if ((x <= -0.0035) || !(x <= 7.5e-5)) 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)))) / t_1); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(Float64(1.0 - cos(y)) * Float64(sin(y) + Float64(x * -0.0625))))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = 3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))); tmp = 0.0; if ((x <= -0.0035) || ~((x <= 7.5e-5))) tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (cos(x) - cos(y))) * (sqrt(2.0) * sin(x)))) / t_1; else tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * ((1.0 - cos(y)) * (sin(y) + (x * -0.0625))))) / t_1; 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[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0035], N[Not[LessEqual[x, 7.5e-5]], $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] / t$95$1), $MachinePrecision], 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[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := 3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)\\
\mathbf{if}\;x \leq -0.0035 \lor \neg \left(x \leq 7.5 \cdot 10^{-5}\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)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\left(1 - \cos y\right) \cdot \left(\sin y + x \cdot -0.0625\right)\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.00350000000000000007 or 7.49999999999999934e-5 < x Initial program 98.9%
associate-*l*98.9%
associate-+l+98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
*-commutative98.9%
div-sub98.9%
metadata-eval98.9%
Simplified98.9%
flip--98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
div-inv98.8%
metadata-eval98.8%
Applied egg-rr98.8%
swap-sqr98.8%
rem-square-sqrt99.0%
cancel-sign-sub-inv99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
+-commutative99.0%
*-commutative99.0%
fma-def99.0%
Simplified99.0%
Taylor expanded in x around inf 99.0%
Taylor expanded in y around 0 64.9%
if -0.00350000000000000007 < x < 7.49999999999999934e-5Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-def99.7%
Simplified99.7%
Taylor expanded in x around inf 99.6%
Taylor expanded in x around 0 99.2%
*-commutative99.2%
associate-*l*99.2%
distribute-lft-out99.2%
Simplified99.2%
Final simplification83.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))
(t_2 (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))))
(if (<= x -0.0082)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin x) 2.0) (* (sqrt 2.0) -0.0625))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= x 7.5e-5)
(/ (+ 2.0 (* t_2 (* (- 1.0 (cos y)) (+ (sin y) (* x -0.0625))))) t_1)
(/ (+ 2.0 (* t_2 (* -0.0625 (* (sin x) (+ (cos x) -1.0))))) t_1)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = 3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))));
double t_2 = sqrt(2.0) * (sin(x) - (sin(y) / 16.0));
double tmp;
if (x <= -0.0082) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (x <= 7.5e-5) {
tmp = (2.0 + (t_2 * ((1.0 - cos(y)) * (sin(y) + (x * -0.0625))))) / t_1;
} else {
tmp = (2.0 + (t_2 * (-0.0625 * (sin(x) * (cos(x) + -1.0))))) / t_1;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = 3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0))))
t_2 = sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))
if (x <= (-0.0082d0)) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (-0.0625d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else if (x <= 7.5d-5) then
tmp = (2.0d0 + (t_2 * ((1.0d0 - cos(y)) * (sin(y) + (x * (-0.0625d0)))))) / t_1
else
tmp = (2.0d0 + (t_2 * ((-0.0625d0) * (sin(x) * (cos(x) + (-1.0d0)))))) / t_1
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 = 3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5))));
double t_2 = Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0));
double tmp;
if (x <= -0.0082) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * -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))));
} else if (x <= 7.5e-5) {
tmp = (2.0 + (t_2 * ((1.0 - Math.cos(y)) * (Math.sin(y) + (x * -0.0625))))) / t_1;
} else {
tmp = (2.0 + (t_2 * (-0.0625 * (Math.sin(x) * (Math.cos(x) + -1.0))))) / t_1;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = 3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5)))) t_2 = math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0)) tmp = 0 if x <= -0.0082: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * -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)))) elif x <= 7.5e-5: tmp = (2.0 + (t_2 * ((1.0 - math.cos(y)) * (math.sin(y) + (x * -0.0625))))) / t_1 else: tmp = (2.0 + (t_2 * (-0.0625 * (math.sin(x) * (math.cos(x) + -1.0))))) / t_1 return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5))))) t_2 = Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) tmp = 0.0 if (x <= -0.0082) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * -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))))); elseif (x <= 7.5e-5) tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(Float64(1.0 - cos(y)) * Float64(sin(y) + Float64(x * -0.0625))))) / t_1); else tmp = Float64(Float64(2.0 + Float64(t_2 * Float64(-0.0625 * Float64(sin(x) * Float64(cos(x) + -1.0))))) / t_1); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = 3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))); t_2 = sqrt(2.0) * (sin(x) - (sin(y) / 16.0)); tmp = 0.0; if (x <= -0.0082) tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); elseif (x <= 7.5e-5) tmp = (2.0 + (t_2 * ((1.0 - cos(y)) * (sin(y) + (x * -0.0625))))) / t_1; else tmp = (2.0 + (t_2 * (-0.0625 * (sin(x) * (cos(x) + -1.0))))) / t_1; 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[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0082], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $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[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7.5e-5], N[(N[(2.0 + N[(t$95$2 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] + N[(x * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 * N[(-0.0625 * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := 3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)\\
t_2 := \sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\\
\mathbf{if}\;x \leq -0.0082:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + t_2 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sin y + x \cdot -0.0625\right)\right)}{t_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_2 \cdot \left(-0.0625 \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right)\right)}{t_1}\\
\end{array}
\end{array}
if x < -0.00820000000000000069Initial program 98.7%
Taylor expanded in y around 0 63.3%
associate-*r*63.3%
*-commutative63.3%
Simplified63.3%
if -0.00820000000000000069 < x < 7.49999999999999934e-5Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-def99.7%
Simplified99.7%
Taylor expanded in x around inf 99.6%
Taylor expanded in x around 0 99.2%
*-commutative99.2%
associate-*l*99.2%
distribute-lft-out99.2%
Simplified99.2%
if 7.49999999999999934e-5 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
swap-sqr98.9%
rem-square-sqrt99.1%
cancel-sign-sub-inv99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
+-commutative99.1%
*-commutative99.1%
fma-def99.1%
Simplified99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 60.5%
Final simplification82.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(t_2
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5)))))))
(if (<= x -0.015)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin x) 2.0) (* (sqrt 2.0) -0.0625))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= x 7.5e-5)
(/ (+ 2.0 (* t_1 (* (sin y) (- 1.0 (cos y))))) t_2)
(/ (+ 2.0 (* t_1 (* -0.0625 (* (sin x) (+ (cos x) -1.0))))) t_2)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = sqrt(2.0) * (sin(x) - (sin(y) / 16.0));
double t_2 = 3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5))));
double tmp;
if (x <= -0.015) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(x), 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (x <= 7.5e-5) {
tmp = (2.0 + (t_1 * (sin(y) * (1.0 - cos(y))))) / t_2;
} else {
tmp = (2.0 + (t_1 * (-0.0625 * (sin(x) * (cos(x) + -1.0))))) / t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
t_1 = sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))
t_2 = 3.0d0 * (1.0d0 + ((cos(y) / (1.5d0 + t_0)) + (cos(x) * (t_0 - 0.5d0))))
if (x <= (-0.015d0)) then
tmp = (2.0d0 + ((cos(x) - cos(y)) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (-0.0625d0))))) / (3.0d0 * ((1.0d0 + (cos(x) * ((sqrt(5.0d0) + (-1.0d0)) / 2.0d0))) + (cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0))))
else if (x <= 7.5d-5) then
tmp = (2.0d0 + (t_1 * (sin(y) * (1.0d0 - cos(y))))) / t_2
else
tmp = (2.0d0 + (t_1 * ((-0.0625d0) * (sin(x) * (cos(x) + (-1.0d0)))))) / t_2
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 = Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0));
double t_2 = 3.0 * (1.0 + ((Math.cos(y) / (1.5 + t_0)) + (Math.cos(x) * (t_0 - 0.5))));
double tmp;
if (x <= -0.015) {
tmp = (2.0 + ((Math.cos(x) - Math.cos(y)) * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * -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))));
} else if (x <= 7.5e-5) {
tmp = (2.0 + (t_1 * (Math.sin(y) * (1.0 - Math.cos(y))))) / t_2;
} else {
tmp = (2.0 + (t_1 * (-0.0625 * (Math.sin(x) * (Math.cos(x) + -1.0))))) / t_2;
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 t_1 = math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0)) t_2 = 3.0 * (1.0 + ((math.cos(y) / (1.5 + t_0)) + (math.cos(x) * (t_0 - 0.5)))) tmp = 0 if x <= -0.015: tmp = (2.0 + ((math.cos(x) - math.cos(y)) * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * -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)))) elif x <= 7.5e-5: tmp = (2.0 + (t_1 * (math.sin(y) * (1.0 - math.cos(y))))) / t_2 else: tmp = (2.0 + (t_1 * (-0.0625 * (math.sin(x) * (math.cos(x) + -1.0))))) / t_2 return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) t_2 = Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5))))) tmp = 0.0 if (x <= -0.015) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * -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))))); elseif (x <= 7.5e-5) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(sin(y) * Float64(1.0 - cos(y))))) / t_2); else tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(-0.0625 * Float64(sin(x) * Float64(cos(x) + -1.0))))) / t_2); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; t_1 = sqrt(2.0) * (sin(x) - (sin(y) / 16.0)); t_2 = 3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))); tmp = 0.0; if (x <= -0.015) tmp = (2.0 + ((cos(x) - cos(y)) * ((sin(x) ^ 2.0) * (sqrt(2.0) * -0.0625)))) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)))); elseif (x <= 7.5e-5) tmp = (2.0 + (t_1 * (sin(y) * (1.0 - cos(y))))) / t_2; else tmp = (2.0 + (t_1 * (-0.0625 * (sin(x) * (cos(x) + -1.0))))) / t_2; 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[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.015], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $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[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7.5e-5], N[(N[(2.0 + N[(t$95$1 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 * N[(-0.0625 * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
t_1 := \sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\\
t_2 := 3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)\\
\mathbf{if}\;x \leq -0.015:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{t_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_1 \cdot \left(-0.0625 \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right)\right)}{t_2}\\
\end{array}
\end{array}
if x < -0.014999999999999999Initial program 98.7%
Taylor expanded in y around 0 63.3%
associate-*r*63.3%
*-commutative63.3%
Simplified63.3%
if -0.014999999999999999 < x < 7.49999999999999934e-5Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-def99.7%
Simplified99.7%
Taylor expanded in x around inf 99.6%
Taylor expanded in x around 0 98.8%
if 7.49999999999999934e-5 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
swap-sqr98.9%
rem-square-sqrt99.1%
cancel-sign-sub-inv99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
+-commutative99.1%
*-commutative99.1%
fma-def99.1%
Simplified99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 60.5%
Final simplification82.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5))
(t_1 (* (pow (sin x) 2.0) (* (sqrt 2.0) -0.0625))))
(if (<= x -0.0024)
(/
(+ 2.0 (* (- (cos x) (cos y)) t_1))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(if (<= x 7.5e-5)
(/
(+
2.0
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(* (sin y) (- 1.0 (cos y)))))
(* 3.0 (+ 1.0 (+ (/ (cos y) (+ 1.5 t_0)) (* (cos x) (- t_0 0.5))))))
(/
(+ 2.0 (* (+ (cos x) -1.0) t_1))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double t_1 = pow(sin(x), 2.0) * (sqrt(2.0) * -0.0625);
double tmp;
if (x <= -0.0024) {
tmp = (2.0 + ((cos(x) - cos(y)) * t_1)) / (3.0 * ((1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else if (x <= 7.5e-5) {
tmp = (2.0 + ((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) * (1.0 - cos(y))))) / (3.0 * (1.0 + ((cos(y) / (1.5 + t_0)) + (cos(x) * (t_0 - 0.5)))));
} else {
tmp = (2.0 + ((cos(x) + -1.0) * t_1)) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) t_1 = Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)) tmp = 0.0 if (x <= -0.0024) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * t_1)) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); elseif (x <= 7.5e-5) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) * Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(y) / Float64(1.5 + t_0)) + Float64(cos(x) * Float64(t_0 - 0.5)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * t_1)) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + 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[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0024], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7.5e-5], 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[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[y], $MachinePrecision] / N[(1.5 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $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 := \sqrt{5} \cdot 0.5\\
t_1 := {\sin x}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\\
\mathbf{if}\;x \leq -0.0024:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot t_1}{3 \cdot \left(\left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right)}{3 \cdot \left(1 + \left(\frac{\cos y}{1.5 + t_0} + \cos x \cdot \left(t_0 - 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot t_1}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\end{array}
\end{array}
if x < -0.00239999999999999979Initial program 98.7%
Taylor expanded in y around 0 63.3%
associate-*r*63.3%
*-commutative63.3%
Simplified63.3%
if -0.00239999999999999979 < x < 7.49999999999999934e-5Initial program 99.6%
associate-*l*99.6%
associate-+l+99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
*-commutative99.6%
div-sub99.6%
metadata-eval99.6%
Simplified99.6%
flip--99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
div-inv99.6%
metadata-eval99.6%
Applied egg-rr99.6%
swap-sqr99.6%
rem-square-sqrt99.7%
cancel-sign-sub-inv99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-def99.7%
Simplified99.7%
Taylor expanded in x around inf 99.6%
Taylor expanded in x around 0 98.8%
if 7.49999999999999934e-5 < x Initial program 99.0%
associate-*l*99.0%
associate-+l+99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
*-commutative99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
div-inv98.9%
metadata-eval98.9%
Applied egg-rr98.9%
swap-sqr98.9%
rem-square-sqrt99.1%
cancel-sign-sub-inv99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
+-commutative99.1%
*-commutative99.1%
fma-def99.1%
Simplified99.1%
Taylor expanded in y around 0 60.4%
associate-*r*60.4%
associate-*r*60.4%
sub-neg60.4%
metadata-eval60.4%
Simplified60.4%
Final simplification82.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -1.3e-7) (not (<= y 0.000112)))
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_0) (sqrt 5.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -1.3e-7) || !(y <= 0.000112)) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_0) - sqrt(5.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -1.3e-7) || !(y <= 0.000112)) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -1.3e-7], N[Not[LessEqual[y, 0.000112]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.3 \cdot 10^{-7} \lor \neg \left(y \leq 0.000112\right):\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if y < -1.29999999999999999e-7 or 1.11999999999999998e-4 < y Initial program 98.8%
Taylor expanded in x around 0 61.5%
associate-*r*61.5%
Simplified61.5%
if -1.29999999999999999e-7 < y < 1.11999999999999998e-4Initial program 99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
associate--l+99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
distribute-lft-out--99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
+-commutative99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0)))))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))
(if (<= y -1.3e-7)
(/ t_0 (* 3.0 (+ (+ 1.0 (* (cos x) (/ t_1 2.0))) t_2)))
(if (<= y 6.4e-5)
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_1) (sqrt 5.0))))))
(/ t_0 (* 3.0 (+ t_2 (+ 1.0 (/ t_1 (/ 2.0 (cos x)))))))))))
double code(double x, double y) {
double t_0 = 2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)));
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double tmp;
if (y <= -1.3e-7) {
tmp = t_0 / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + t_2));
} else if (y <= 6.4e-5) {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_1) - sqrt(5.0)))));
} else {
tmp = t_0 / (3.0 * (t_2 + (1.0 + (t_1 / (2.0 / cos(x))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) tmp = 0.0 if (y <= -1.3e-7) tmp = Float64(t_0 / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + t_2))); elseif (y <= 6.4e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_1) - sqrt(5.0)))))); else tmp = Float64(t_0 / Float64(3.0 * Float64(t_2 + Float64(1.0 + Float64(t_1 / Float64(2.0 / cos(x))))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.3e-7], N[(t$95$0 / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 6.4e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(3.0 * N[(t$95$2 + N[(1.0 + N[(t$95$1 / N[(2.0 / N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
\mathbf{if}\;y \leq -1.3 \cdot 10^{-7}:\\
\;\;\;\;\frac{t_0}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_1}{2}\right) + t_2\right)}\\
\mathbf{elif}\;y \leq 6.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_1 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_0}{3 \cdot \left(t_2 + \left(1 + \frac{t_1}{\frac{2}{\cos x}}\right)\right)}\\
\end{array}
\end{array}
if y < -1.29999999999999999e-7Initial program 99.0%
Taylor expanded in x around 0 63.8%
associate-*r*63.8%
Simplified63.8%
if -1.29999999999999999e-7 < y < 6.39999999999999971e-5Initial program 99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
associate--l+99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
distribute-lft-out--99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
+-commutative99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
if 6.39999999999999971e-5 < y Initial program 98.7%
Taylor expanded in x around 0 59.5%
associate-*r*59.5%
Simplified59.5%
associate-*l/59.5%
sub-neg59.5%
metadata-eval59.5%
Applied egg-rr59.5%
metadata-eval59.5%
sub-neg59.5%
associate-/l*59.5%
sub-neg59.5%
metadata-eval59.5%
Simplified59.5%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(if (<= y -1.3e-7)
(/
(+ 2.0 (* (- 1.0 (cos y)) t_1))
(*
3.0
(+
1.0
(+
(* (cos x) (- (/ (sqrt 5.0) 2.0) 0.5))
(* (cos y) (/ 1.0 (fma 0.5 (sqrt 5.0) 1.5)))))))
(if (<= y 7.5e-5)
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_0) (sqrt 5.0))))))
(/
(+ 2.0 (* (- (cos x) (cos y)) t_1))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (/ t_0 (/ 2.0 (cos x)))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = (sqrt(2.0) * -0.0625) * pow(sin(y), 2.0);
double tmp;
if (y <= -1.3e-7) {
tmp = (2.0 + ((1.0 - cos(y)) * t_1)) / (3.0 * (1.0 + ((cos(x) * ((sqrt(5.0) / 2.0) - 0.5)) + (cos(y) * (1.0 / fma(0.5, sqrt(5.0), 1.5))))));
} else if (y <= 7.5e-5) {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_0) - sqrt(5.0)))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * t_1)) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + (t_0 / (2.0 / cos(x))))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)) tmp = 0.0 if (y <= -1.3e-7) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * t_1)) / Float64(3.0 * Float64(1.0 + Float64(Float64(cos(x) * Float64(Float64(sqrt(5.0) / 2.0) - 0.5)) + Float64(cos(y) * Float64(1.0 / fma(0.5, sqrt(5.0), 1.5))))))); elseif (y <= 7.5e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * t_1)) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(t_0 / Float64(2.0 / cos(x))))))); 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[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.3e-7], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $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], If[LessEqual[y, 7.5e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(t$95$0 / N[(2.0 / N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\\
\mathbf{if}\;y \leq -1.3 \cdot 10^{-7}:\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot t_1}{3 \cdot \left(1 + \left(\cos x \cdot \left(\frac{\sqrt{5}}{2} - 0.5\right) + \cos y \cdot \frac{1}{\mathsf{fma}\left(0.5, \sqrt{5}, 1.5\right)}\right)\right)}\\
\mathbf{elif}\;y \leq 7.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot t_1}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \frac{t_0}{\frac{2}{\cos x}}\right)\right)}\\
\end{array}
\end{array}
if y < -1.29999999999999999e-7Initial program 99.0%
associate-*l*99.0%
associate-+l+99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
*-commutative99.1%
div-sub99.1%
metadata-eval99.1%
Simplified99.1%
flip--99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
div-inv99.0%
metadata-eval99.0%
Applied egg-rr99.0%
swap-sqr99.0%
rem-square-sqrt99.2%
cancel-sign-sub-inv99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
+-commutative99.2%
*-commutative99.2%
fma-def99.2%
Simplified99.2%
Taylor expanded in x around 0 63.8%
associate-*r*63.8%
*-commutative63.8%
associate-*r*63.8%
*-commutative63.8%
Simplified63.8%
if -1.29999999999999999e-7 < y < 7.49999999999999934e-5Initial program 99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
associate--l+99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
distribute-lft-out--99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
+-commutative99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
if 7.49999999999999934e-5 < y Initial program 98.7%
Taylor expanded in x around 0 59.5%
associate-*r*59.5%
Simplified59.5%
associate-*l/59.5%
sub-neg59.5%
metadata-eval59.5%
Applied egg-rr59.5%
metadata-eval59.5%
sub-neg59.5%
associate-/l*59.5%
sub-neg59.5%
metadata-eval59.5%
Simplified59.5%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -1.3e-7) (not (<= y 0.00027)))
(/
(+ 2.0 (* (- 1.0 (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (+ (cos x) -1.0) (+ (sin x) (* y -0.0625))))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_0) (sqrt 5.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -1.3e-7) || !(y <= 0.00027)) {
tmp = (2.0 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((cos(x) + -1.0) * (sin(x) + (y * -0.0625)))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_0) - sqrt(5.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -1.3e-7) || !(y <= 0.00027)) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(cos(x) + -1.0) * Float64(sin(x) + Float64(y * -0.0625)))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -1.3e-7], N[Not[LessEqual[y, 0.00027]], $MachinePrecision]], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.3 \cdot 10^{-7} \lor \neg \left(y \leq 0.00027\right):\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\cos x + -1\right) \cdot \left(\sin x + y \cdot -0.0625\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if y < -1.29999999999999999e-7 or 2.70000000000000003e-4 < y Initial program 98.8%
Taylor expanded in x around 0 61.5%
associate-*r*61.5%
Simplified61.5%
Taylor expanded in x around 0 61.4%
if -1.29999999999999999e-7 < y < 2.70000000000000003e-4Initial program 99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
associate--l+99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
distribute-lft-out--99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
+-commutative99.7%
associate-*r*99.7%
distribute-rgt-out99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -1.3e-7) (not (<= y 1.85e-5)))
(/
(+ 2.0 (* (- 1.0 (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma
(sqrt 2.0)
(* (- (sin y) (/ (sin x) 16.0)) (* (sin x) (+ (cos x) -1.0)))
2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_0) (sqrt 5.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -1.3e-7) || !(y <= 1.85e-5)) {
tmp = (2.0 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * (sin(x) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_0) - sqrt(5.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -1.3e-7) || !(y <= 1.85e-5)) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sin(x) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -1.3e-7], N[Not[LessEqual[y, 1.85e-5]], $MachinePrecision]], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.3 \cdot 10^{-7} \lor \neg \left(y \leq 1.85 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sin x \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if y < -1.29999999999999999e-7 or 1.84999999999999991e-5 < y Initial program 98.8%
Taylor expanded in x around 0 61.5%
associate-*r*61.5%
Simplified61.5%
Taylor expanded in x around 0 61.4%
if -1.29999999999999999e-7 < y < 1.84999999999999991e-5Initial program 99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
associate--l+99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
distribute-lft-out--99.7%
Simplified99.7%
Taylor expanded in y around 0 99.6%
Final simplification81.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= y -1.3e-7) (not (<= y 7.8e-7)))
(/
(+ 2.0 (* (- 1.0 (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(*
3.0
(+
(+ 1.0 (* (cos x) (/ t_0 2.0)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_0) (sqrt 5.0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((y <= -1.3e-7) || !(y <= 7.8e-7)) {
tmp = (2.0 + ((1.0 - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 * ((1.0 + (cos(x) * (t_0 / 2.0))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_0) - sqrt(5.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((y <= -1.3e-7) || !(y <= 7.8e-7)) tmp = Float64(Float64(2.0 + Float64(Float64(1.0 - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[y, -1.3e-7], N[Not[LessEqual[y, 7.8e-7]], $MachinePrecision]], N[(N[(2.0 + N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.3 \cdot 10^{-7} \lor \neg \left(y \leq 7.8 \cdot 10^{-7}\right):\\
\;\;\;\;\frac{2 + \left(1 - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t_0}{2}\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)\right)}\\
\end{array}
\end{array}
if y < -1.29999999999999999e-7 or 7.80000000000000049e-7 < y Initial program 98.8%
Taylor expanded in x around 0 61.5%
associate-*r*61.5%
Simplified61.5%
Taylor expanded in x around 0 61.4%
if -1.29999999999999999e-7 < y < 7.80000000000000049e-7Initial program 99.7%
Simplified99.7%
Taylor expanded in y around 0 99.7%
associate--l+99.7%
*-commutative99.7%
sub-neg99.7%
metadata-eval99.7%
distribute-lft-out--99.7%
Simplified99.7%
Taylor expanded in y around 0 99.5%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0)))
(if (or (<= x -0.00056) (not (<= x 2.2e-6)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0)
(+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) t_0) (sqrt 5.0))))))
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(*
3.0
(+ (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)) (+ 1.0 (* t_0 0.5))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double tmp;
if ((x <= -0.00056) || !(x <= 2.2e-6)) {
tmp = fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * t_0) - sqrt(5.0)))));
} else {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + (t_0 * 0.5))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if ((x <= -0.00056) || !(x <= 2.2e-6)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * t_0) - sqrt(5.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(t_0 * 0.5))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.00056], N[Not[LessEqual[x, 2.2e-6]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00056 \lor \neg \left(x \leq 2.2 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot t_0 - \sqrt{5}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + t_0 \cdot 0.5\right)\right)}\\
\end{array}
\end{array}
if x < -5.5999999999999995e-4 or 2.2000000000000001e-6 < x Initial program 98.9%
Simplified99.1%
Taylor expanded in y around 0 60.5%
associate--l+60.5%
*-commutative60.5%
sub-neg60.5%
metadata-eval60.5%
distribute-lft-out--60.5%
Simplified60.5%
Taylor expanded in y around 0 59.8%
if -5.5999999999999995e-4 < x < 2.2000000000000001e-6Initial program 99.6%
Taylor expanded in x around 0 98.4%
associate-*r*98.4%
Simplified98.4%
Taylor expanded in x around 0 98.4%
Final simplification81.0%
(FPCore (x y) :precision binary64 (/ (fma (sqrt 2.0) (* -0.0625 (* (pow (sin x) 2.0) (+ (cos x) -1.0))) 2.0) (+ 3.0 (+ 4.5 (* 1.5 (- (* (cos x) (+ (sqrt 5.0) -1.0)) (sqrt 5.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), (-0.0625 * (pow(sin(x), 2.0) * (cos(x) + -1.0))), 2.0) / (3.0 + (4.5 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) - sqrt(5.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(cos(x) + -1.0))), 2.0) / Float64(3.0 + Float64(4.5 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) - sqrt(5.0)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(4.5 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\cos x + -1\right)\right), 2\right)}{3 + \left(4.5 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) - \sqrt{5}\right)\right)}
\end{array}
Initial program 99.3%
Simplified99.4%
Taylor expanded in y around 0 64.1%
associate--l+64.1%
*-commutative64.1%
sub-neg64.1%
metadata-eval64.1%
distribute-lft-out--64.1%
Simplified64.1%
Taylor expanded in y around 0 63.8%
Final simplification63.8%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (+ (cos x) -1.0)))
2.0)
6.0))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * (cos(x) + -1.0))), 2.0) / 6.0;
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(cos(x) + -1.0))), 2.0) / 6.0) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\cos x + -1\right)\right), 2\right)}{6}
\end{array}
Initial program 99.3%
Simplified99.4%
Taylor expanded in y around 0 64.1%
associate--l+64.1%
*-commutative64.1%
sub-neg64.1%
metadata-eval64.1%
distribute-lft-out--64.1%
Simplified64.1%
Taylor expanded in y around 0 64.2%
Taylor expanded in x around 0 46.2%
Final simplification46.2%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* (+ (cos x) -1.0) (* (sqrt 2.0) (* -0.0625 (* y 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) {
return (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * (y * y))))) / (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 + ((cos(x) + (-1.0d0)) * (sqrt(2.0d0) * ((-0.0625d0) * (y * y))))) / (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.cos(x) + -1.0) * (Math.sqrt(2.0) * (-0.0625 * (y * 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))));
}
def code(x, y): return (2.0 + ((math.cos(x) + -1.0) * (math.sqrt(2.0) * (-0.0625 * (y * 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))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(sqrt(2.0) * Float64(-0.0625 * Float64(y * 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
function tmp = code(x, y) tmp = (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * (y * y))))) / (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[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(y * 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}
\\
\frac{2 + \left(\cos x + -1\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot \left(y \cdot y\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 99.3%
Taylor expanded in x around 0 66.2%
associate-*r*66.2%
Simplified66.2%
Taylor expanded in y around 0 38.9%
*-commutative38.9%
associate-*r*38.9%
unpow238.9%
Simplified38.9%
Taylor expanded in y around 0 42.8%
Final simplification42.8%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* -0.0625 (* (sqrt 2.0) (* (+ (cos x) -1.0) (* y y)))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) 0.5))))))
double code(double x, double y) {
return (2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (y * y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * 0.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((-0.0625d0) * (sqrt(2.0d0) * ((cos(x) + (-1.0d0)) * (y * y))))) / (3.0d0 * ((cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)) + (1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) * 0.5d0))))
end function
public static double code(double x, double y) {
return (2.0 + (-0.0625 * (Math.sqrt(2.0) * ((Math.cos(x) + -1.0) * (y * y))))) / (3.0 * ((Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)) + (1.0 + ((Math.sqrt(5.0) + -1.0) * 0.5))));
}
def code(x, y): return (2.0 + (-0.0625 * (math.sqrt(2.0) * ((math.cos(x) + -1.0) * (y * y))))) / (3.0 * ((math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)) + (1.0 + ((math.sqrt(5.0) + -1.0) * 0.5))))
function code(x, y) return Float64(Float64(2.0 + Float64(-0.0625 * Float64(sqrt(2.0) * Float64(Float64(cos(x) + -1.0) * Float64(y * y))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * 0.5))))) end
function tmp = code(x, y) tmp = (2.0 + (-0.0625 * (sqrt(2.0) * ((cos(x) + -1.0) * (y * y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * 0.5)))); end
code[x_, y_] := N[(N[(2.0 + N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + -0.0625 \cdot \left(\sqrt{2} \cdot \left(\left(\cos x + -1\right) \cdot \left(y \cdot y\right)\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot 0.5\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0 66.2%
associate-*r*66.2%
Simplified66.2%
Taylor expanded in y around 0 38.9%
*-commutative38.9%
associate-*r*38.9%
unpow238.9%
Simplified38.9%
Taylor expanded in x around 0 37.1%
Taylor expanded in y around 0 41.0%
unpow241.0%
sub-neg41.0%
metadata-eval41.0%
Simplified41.0%
Final simplification41.0%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* (+ (cos x) -1.0) (* (sqrt 2.0) (* -0.0625 (* y y)))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (+ (sqrt 5.0) -1.0) 0.5))))))
double code(double x, double y) {
return (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * (y * y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * 0.5))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + ((cos(x) + (-1.0d0)) * (sqrt(2.0d0) * ((-0.0625d0) * (y * y))))) / (3.0d0 * ((cos(y) * ((3.0d0 - sqrt(5.0d0)) / 2.0d0)) + (1.0d0 + ((sqrt(5.0d0) + (-1.0d0)) * 0.5d0))))
end function
public static double code(double x, double y) {
return (2.0 + ((Math.cos(x) + -1.0) * (Math.sqrt(2.0) * (-0.0625 * (y * y))))) / (3.0 * ((Math.cos(y) * ((3.0 - Math.sqrt(5.0)) / 2.0)) + (1.0 + ((Math.sqrt(5.0) + -1.0) * 0.5))));
}
def code(x, y): return (2.0 + ((math.cos(x) + -1.0) * (math.sqrt(2.0) * (-0.0625 * (y * y))))) / (3.0 * ((math.cos(y) * ((3.0 - math.sqrt(5.0)) / 2.0)) + (1.0 + ((math.sqrt(5.0) + -1.0) * 0.5))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(sqrt(2.0) * Float64(-0.0625 * Float64(y * y))))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * 0.5))))) end
function tmp = code(x, y) tmp = (2.0 + ((cos(x) + -1.0) * (sqrt(2.0) * (-0.0625 * (y * y))))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + ((sqrt(5.0) + -1.0) * 0.5)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x + -1\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot \left(y \cdot y\right)\right)\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \left(\sqrt{5} + -1\right) \cdot 0.5\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0 66.2%
associate-*r*66.2%
Simplified66.2%
Taylor expanded in y around 0 38.9%
*-commutative38.9%
associate-*r*38.9%
unpow238.9%
Simplified38.9%
Taylor expanded in x around 0 37.1%
Taylor expanded in y around 0 41.0%
Final simplification41.0%
herbie shell --seed 2023252
(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))))))