
(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 37 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (cos x) (cos y))) (fma (sin x) -0.0625 (sin y)))
(fma (sin y) -0.0625 (sin x))))
(fma
1.5
(fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0)))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (cos(x) - cos(y))) * fma(sin(x), -0.0625, sin(y))) * fma(sin(y), -0.0625, sin(x)))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(cos(x) - cos(y))) * fma(sin(x), -0.0625, sin(y))) * fma(sin(y), -0.0625, sin(x)))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\cos x - \cos y\right)\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(fma -0.0625 (sin y) (sin x))
(* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y))))))
(fma
1.5
(fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0)))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * ((cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * Float64(Float64(cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.5%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y) :precision binary64 (/ (fma (fma (sin y) -0.0625 (sin x)) (* (sqrt 2.0) (* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y)))) 2.0) (fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0)))
double code(double x, double y) {
return fma(fma(sin(y), -0.0625, sin(x)), (sqrt(2.0) * ((cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(sqrt(2.0) * Float64(Float64(cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \sqrt{2} \cdot \left(\left(\cos x - \cos y\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(* (* (sqrt 2.0) (- (cos x) (cos y))) (fma (sin x) -0.0625 (sin y)))
(fma (sin y) -0.0625 (sin x))))
(fma
(fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0))))
1.5
3.0)))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (cos(x) - cos(y))) * fma(sin(x), -0.0625, sin(y))) * fma(sin(y), -0.0625, sin(x)))) / fma(fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * (3.0 - sqrt(5.0)))), 1.5, 3.0);
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(cos(x) - cos(y))) * fma(sin(x), -0.0625, sin(y))) * fma(sin(y), -0.0625, sin(x)))) / fma(fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 1.5, 3.0)) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\cos x - \cos y\right)\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 1.5, 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.5%
Applied rewrites99.4%
(FPCore (x y) :precision binary64 (/ (fma (* (sqrt 2.0) (- (cos x) (cos y))) (* (fma (sin x) -0.0625 (sin y)) (fma -0.0625 (sin y) (sin x))) 2.0) (fma 1.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0)))) 3.0)))
double code(double x, double y) {
return fma((sqrt(2.0) * (cos(x) - cos(y))), (fma(sin(x), -0.0625, sin(y)) * fma(-0.0625, sin(y), sin(x))), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) - cos(y))), Float64(fma(sin(x), -0.0625, sin(y)) * fma(-0.0625, sin(y), sin(x))), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x - \cos y\right), \mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(-0.0625, \sin y, \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.5%
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y))))
2.0)
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0)))
double code(double x, double y) {
return fma((cos(x) - cos(y)), (sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(fma(Float64(cos(x) - cos(y)), Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\cos x - \cos y, \sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in y around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6459.0
Applied rewrites59.0%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) (sin x)) (- (sin y) (/ (sin x) 16.0)))))
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_0) 3.0))))
(if (<= x -0.56)
t_1
(if (<= x 0.066)
(/
(+
2.0
(*
(fma (sin y) -0.0625 (sin x))
(*
(fma (sin x) -0.0625 (sin y))
(*
(sqrt 2.0)
(fma
(* x x)
(fma
(* x x)
(fma (* x x) -0.001388888888888889 0.041666666666666664)
-0.5)
(- 1.0 (cos y)))))))
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_0) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * (sin(y) - (sin(x) / 16.0))))) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_0), 3.0);
double tmp;
if (x <= -0.56) {
tmp = t_1;
} else if (x <= 0.066) {
tmp = (2.0 + (fma(sin(y), -0.0625, sin(x)) * (fma(sin(x), -0.0625, sin(y)) * (sqrt(2.0) * fma((x * x), fma((x * x), fma((x * x), -0.001388888888888889, 0.041666666666666664), -0.5), (1.0 - cos(y))))))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_0), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_0), 3.0)) tmp = 0.0 if (x <= -0.56) tmp = t_1; elseif (x <= 0.066) tmp = Float64(Float64(2.0 + Float64(fma(sin(y), -0.0625, sin(x)) * Float64(fma(sin(x), -0.0625, sin(y)) * Float64(sqrt(2.0) * fma(Float64(x * x), fma(Float64(x * x), fma(Float64(x * x), -0.001388888888888889, 0.041666666666666664), -0.5), Float64(1.0 - cos(y))))))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_0), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.56], t$95$1, If[LessEqual[x, 0.066], N[(N[(2.0 + N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * -0.001388888888888889 + 0.041666666666666664), $MachinePrecision] + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_0\right), 3\right)}\\
\mathbf{if}\;x \leq -0.56:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.066:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, -0.001388888888888889, 0.041666666666666664\right), -0.5\right), 1 - \cos y\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.56000000000000005 or 0.066000000000000003 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6461.8
Applied rewrites61.8%
if -0.56000000000000005 < x < 0.066000000000000003Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.8%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.5
Applied rewrites99.5%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sin y) (/ (sin x) 16.0)))
(t_1
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_2
(/
(+ 2.0 (* (- (cos x) (cos y)) (* (* (sqrt 2.0) (sin x)) t_0)))
t_1)))
(if (<= x -0.38)
t_2
(if (<= x 0.066)
(/
(+
2.0
(*
(* t_0 (* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(fma
(* x x)
(fma (* x x) 0.041666666666666664 -0.5)
(- 1.0 (cos y)))))
t_1)
t_2))))
double code(double x, double y) {
double t_0 = sin(y) - (sin(x) / 16.0);
double t_1 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_2 = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * t_0))) / t_1;
double tmp;
if (x <= -0.38) {
tmp = t_2;
} else if (x <= 0.066) {
tmp = (2.0 + ((t_0 * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * fma((x * x), fma((x * x), 0.041666666666666664, -0.5), (1.0 - cos(y))))) / t_1;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_1 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_2 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * t_0))) / t_1) tmp = 0.0 if (x <= -0.38) tmp = t_2; elseif (x <= 0.066) tmp = Float64(Float64(2.0 + Float64(Float64(t_0 * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * fma(Float64(x * x), fma(Float64(x * x), 0.041666666666666664, -0.5), Float64(1.0 - cos(y))))) / t_1); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]}, If[LessEqual[x, -0.38], t$95$2, If[LessEqual[x, 0.066], N[(N[(2.0 + N[(N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.041666666666666664 + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin y - \frac{\sin x}{16}\\
t_1 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_2 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot t\_0\right)}{t\_1}\\
\mathbf{if}\;x \leq -0.38:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.066:\\
\;\;\;\;\frac{2 + \left(t\_0 \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.041666666666666664, -0.5\right), 1 - \cos y\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.38 or 0.066000000000000003 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6461.8
Applied rewrites61.8%
if -0.38 < x < 0.066000000000000003Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.4
Applied rewrites99.4%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (cos x) (cos y)))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3
(/
(+
2.0
(* t_1 (* (* (sqrt 2.0) (sin x)) (- (sin y) (/ (sin x) 16.0)))))
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_2)) 3.0))))
(if (<= x -0.38)
t_3
(if (<= x 0.066)
(/
(fma
(sqrt 2.0)
(*
t_1
(* (fma (sin x) -0.0625 (sin y)) (fma (sin y) -0.0625 (sin x))))
2.0)
(fma
x
(* x (* t_2 (fma 0.0625 (* x x) -0.75)))
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_0 -1.0)) 3.0)))
t_3))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = cos(x) - cos(y);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = (2.0 + (t_1 * ((sqrt(2.0) * sin(x)) * (sin(y) - (sin(x) / 16.0))))) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_2)), 3.0);
double tmp;
if (x <= -0.38) {
tmp = t_3;
} else if (x <= 0.066) {
tmp = fma(sqrt(2.0), (t_1 * (fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x)))), 2.0) / fma(x, (x * (t_2 * fma(0.0625, (x * x), -0.75))), fma(1.5, (sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0));
} else {
tmp = t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sqrt(2.0) * sin(x)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_2)), 3.0)) tmp = 0.0 if (x <= -0.38) tmp = t_3; elseif (x <= 0.066) tmp = Float64(fma(sqrt(2.0), Float64(t_1 * Float64(fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x)))), 2.0) / fma(x, Float64(x * Float64(t_2 * fma(0.0625, Float64(x * x), -0.75))), fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0))); else tmp = t_3; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.38], t$95$3, If[LessEqual[x, 0.066], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$1 * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(x * N[(x * N[(t$95$2 * N[(0.0625 * N[(x * x), $MachinePrecision] + -0.75), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \cos x - \cos y\\
t_2 := \sqrt{5} + -1\\
t_3 := \frac{2 + t\_1 \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_2\right), 3\right)}\\
\mathbf{if}\;x \leq -0.38:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;x \leq 0.066:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_1 \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right), 2\right)}{\mathsf{fma}\left(x, x \cdot \left(t\_2 \cdot \mathsf{fma}\left(0.0625, x \cdot x, -0.75\right)\right), \mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_0, -1\right), 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if x < -0.38 or 0.066000000000000003 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6461.8
Applied rewrites61.8%
if -0.38 < x < 0.066000000000000003Initial program 99.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.3%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0))))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) (sin x)) (- (sin y) (/ (sin x) 16.0)))))
(fma 1.5 t_0 3.0))))
(if (<= x -0.38)
t_1
(if (<= x 0.066)
(/
(fma
(sqrt 2.0)
(*
(fma (* x x) (fma (* x x) 0.041666666666666664 -0.5) (- 1.0 (cos y)))
(* (fma (sin x) -0.0625 (sin y)) (fma (sin y) -0.0625 (sin x))))
2.0)
(* 3.0 (fma 0.5 t_0 1.0)))
t_1))))
double code(double x, double y) {
double t_0 = fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0)));
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * (sin(y) - (sin(x) / 16.0))))) / fma(1.5, t_0, 3.0);
double tmp;
if (x <= -0.38) {
tmp = t_1;
} else if (x <= 0.066) {
tmp = fma(sqrt(2.0), (fma((x * x), fma((x * x), 0.041666666666666664, -0.5), (1.0 - cos(y))) * (fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x)))), 2.0) / (3.0 * fma(0.5, t_0, 1.0));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / fma(1.5, t_0, 3.0)) tmp = 0.0 if (x <= -0.38) tmp = t_1; elseif (x <= 0.066) tmp = Float64(fma(sqrt(2.0), Float64(fma(Float64(x * x), fma(Float64(x * x), 0.041666666666666664, -0.5), Float64(1.0 - cos(y))) * Float64(fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x)))), 2.0) / Float64(3.0 * fma(0.5, t_0, 1.0))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.38], t$95$1, If[LessEqual[x, 0.066], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.041666666666666664 + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(0.5 * t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{\mathsf{fma}\left(1.5, t\_0, 3\right)}\\
\mathbf{if}\;x \leq -0.38:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.066:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.041666666666666664, -0.5\right), 1 - \cos y\right) \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right), 2\right)}{3 \cdot \mathsf{fma}\left(0.5, t\_0, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.38 or 0.066000000000000003 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6461.8
Applied rewrites61.8%
if -0.38 < x < 0.066000000000000003Initial program 99.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-+.f64N/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.1
Applied rewrites99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
lower-+.f64N/A
lower-sqrt.f64N/A
metadata-eval99.3
Applied rewrites99.3%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sqrt 2.0) (sin x)) (- (sin y) (/ (sin x) 16.0)))))
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_1)) 3.0))))
(if (<= x -0.38)
t_2
(if (<= x 0.066)
(/
(fma
(sqrt 2.0)
(*
(fma (* x x) (fma (* x x) 0.041666666666666664 -0.5) (- 1.0 (cos y)))
(* (fma (sin x) -0.0625 (sin y)) (fma (sin y) -0.0625 (sin x))))
2.0)
(*
3.0
(fma
0.5
(fma (cos y) t_0 t_1)
(fma
(* x x)
(fma
(* x x)
(* t_1 (fma -0.0006944444444444445 (* x x) 0.020833333333333332))
(fma (sqrt 5.0) -0.25 0.25))
1.0))))
t_2))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * sin(x)) * (sin(y) - (sin(x) / 16.0))))) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_1)), 3.0);
double tmp;
if (x <= -0.38) {
tmp = t_2;
} else if (x <= 0.066) {
tmp = fma(sqrt(2.0), (fma((x * x), fma((x * x), 0.041666666666666664, -0.5), (1.0 - cos(y))) * (fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x)))), 2.0) / (3.0 * fma(0.5, fma(cos(y), t_0, t_1), fma((x * x), fma((x * x), (t_1 * fma(-0.0006944444444444445, (x * x), 0.020833333333333332)), fma(sqrt(5.0), -0.25, 0.25)), 1.0)));
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * sin(x)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_1)), 3.0)) tmp = 0.0 if (x <= -0.38) tmp = t_2; elseif (x <= 0.066) tmp = Float64(fma(sqrt(2.0), Float64(fma(Float64(x * x), fma(Float64(x * x), 0.041666666666666664, -0.5), Float64(1.0 - cos(y))) * Float64(fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x)))), 2.0) / Float64(3.0 * fma(0.5, fma(cos(y), t_0, t_1), fma(Float64(x * x), fma(Float64(x * x), Float64(t_1 * fma(-0.0006944444444444445, Float64(x * x), 0.020833333333333332)), fma(sqrt(5.0), -0.25, 0.25)), 1.0)))); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.38], t$95$2, If[LessEqual[x, 0.066], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.041666666666666664 + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(t$95$1 * N[(-0.0006944444444444445 * N[(x * x), $MachinePrecision] + 0.020833333333333332), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 0.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_1\right), 3\right)}\\
\mathbf{if}\;x \leq -0.38:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.066:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.041666666666666664, -0.5\right), 1 - \cos y\right) \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right), 2\right)}{3 \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_0, t\_1\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, t\_1 \cdot \mathsf{fma}\left(-0.0006944444444444445, x \cdot x, 0.020833333333333332\right), \mathsf{fma}\left(\sqrt{5}, -0.25, 0.25\right)\right), 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.38 or 0.066000000000000003 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6461.8
Applied rewrites61.8%
if -0.38 < x < 0.066000000000000003Initial program 99.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-+.f64N/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
associate-+r+N/A
associate-+l+N/A
Applied rewrites99.3%
Final simplification80.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (<= y -0.024)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_1)) 3.0))
(if (<= y 0.0057)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(+ (cos x) -1.0)))
(*
3.0
(fma
0.5
(- (fma (cos x) t_1 3.0) (sqrt 5.0))
(fma (* y y) (* t_0 (fma 0.020833333333333332 (* y y) -0.25)) 1.0))))
(/
(fma
(fma (sin x) -0.0625 (sin y))
(* (* (sqrt 2.0) (fma -0.0625 (sin y) (sin x))) (- 1.0 (cos y)))
2.0)
(fma 1.5 (fma (cos x) t_1 (* (cos y) t_0)) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -0.024) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_1)), 3.0);
} else if (y <= 0.0057) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * (cos(x) + -1.0))) / (3.0 * fma(0.5, (fma(cos(x), t_1, 3.0) - sqrt(5.0)), fma((y * y), (t_0 * fma(0.020833333333333332, (y * y), -0.25)), 1.0)));
} else {
tmp = fma(fma(sin(x), -0.0625, sin(y)), ((sqrt(2.0) * fma(-0.0625, sin(y), sin(x))) * (1.0 - cos(y))), 2.0) / fma(1.5, fma(cos(x), t_1, (cos(y) * t_0)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -0.024) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_1)), 3.0)); elseif (y <= 0.0057) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * Float64(cos(x) + -1.0))) / Float64(3.0 * fma(0.5, Float64(fma(cos(x), t_1, 3.0) - sqrt(5.0)), fma(Float64(y * y), Float64(t_0 * fma(0.020833333333333332, Float64(y * y), -0.25)), 1.0)))); else tmp = Float64(fma(fma(sin(x), -0.0625, sin(y)), Float64(Float64(sqrt(2.0) * fma(-0.0625, sin(y), sin(x))) * Float64(1.0 - cos(y))), 2.0) / fma(1.5, fma(cos(x), t_1, Float64(cos(y) * t_0)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -0.024], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0057], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(y * y), $MachinePrecision] * N[(t$95$0 * N[(0.020833333333333332 * N[(y * y), $MachinePrecision] + -0.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.024:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_1\right), 3\right)}\\
\mathbf{elif}\;y \leq 0.0057:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_1, 3\right) - \sqrt{5}, \mathsf{fma}\left(y \cdot y, t\_0 \cdot \mathsf{fma}\left(0.020833333333333332, y \cdot y, -0.25\right), 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right), \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, \sin x\right)\right) \cdot \left(1 - \cos y\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, \cos y \cdot t\_0\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.024Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6462.3
Applied rewrites62.3%
if -0.024 < y < 0.0057000000000000002Initial program 99.5%
Taylor expanded in y around 0
sub-negN/A
lower-+.f64N/A
lower-cos.f64N/A
metadata-eval98.3
Applied rewrites98.3%
Taylor expanded in y around 0
+-commutativeN/A
associate-+r+N/A
associate-+l+N/A
distribute-lft-outN/A
lower-fma.f64N/A
Applied rewrites98.3%
if 0.0057000000000000002 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6462.4
Applied rewrites62.4%
Applied rewrites62.4%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos x) t_1)))
(if (<= y -0.024)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(fma 1.5 (fma (cos y) t_0 t_2) 3.0))
(if (<= y 0.0057)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(+ (cos x) -1.0)))
(*
3.0
(fma
0.5
(- (fma (cos x) t_1 3.0) (sqrt 5.0))
(fma (* y y) (* t_0 (fma 0.020833333333333332 (* y y) -0.25)) 1.0))))
(/
(+
2.0
(*
(fma (sin y) -0.0625 (sin x))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_2) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) * t_1;
double tmp;
if (y <= -0.024) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, t_2), 3.0);
} else if (y <= 0.0057) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * (cos(x) + -1.0))) / (3.0 * fma(0.5, (fma(cos(x), t_1, 3.0) - sqrt(5.0)), fma((y * y), (t_0 * fma(0.020833333333333332, (y * y), -0.25)), 1.0)));
} else {
tmp = (2.0 + (fma(sin(y), -0.0625, sin(x)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) * t_1) tmp = 0.0 if (y <= -0.024) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, t_2), 3.0)); elseif (y <= 0.0057) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * Float64(cos(x) + -1.0))) / Float64(3.0 * fma(0.5, Float64(fma(cos(x), t_1, 3.0) - sqrt(5.0)), fma(Float64(y * y), Float64(t_0 * fma(0.020833333333333332, Float64(y * y), -0.25)), 1.0)))); else tmp = Float64(Float64(2.0 + Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]}, If[LessEqual[y, -0.024], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0057], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(y * y), $MachinePrecision] * N[(t$95$0 * N[(0.020833333333333332 * N[(y * y), $MachinePrecision] + -0.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x \cdot t\_1\\
\mathbf{if}\;y \leq -0.024:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 0.0057:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_1, 3\right) - \sqrt{5}, \mathsf{fma}\left(y \cdot y, t\_0 \cdot \mathsf{fma}\left(0.020833333333333332, y \cdot y, -0.25\right), 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.024Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6462.3
Applied rewrites62.3%
if -0.024 < y < 0.0057000000000000002Initial program 99.5%
Taylor expanded in y around 0
sub-negN/A
lower-+.f64N/A
lower-cos.f64N/A
metadata-eval98.3
Applied rewrites98.3%
Taylor expanded in y around 0
+-commutativeN/A
associate-+r+N/A
associate-+l+N/A
distribute-lft-outN/A
lower-fma.f64N/A
Applied rewrites98.3%
if 0.0057000000000000002 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos x) t_1)))
(if (<= y -0.024)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(fma 1.5 (fma (cos y) t_0 t_2) 3.0))
(if (<= y 0.0057)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(+ (cos x) -1.0)))
(fma
y
(* y (* t_0 -0.75))
(fma 1.5 (- (fma (cos x) t_1 3.0) (sqrt 5.0)) 3.0)))
(/
(+
2.0
(*
(fma (sin y) -0.0625 (sin x))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_2) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) * t_1;
double tmp;
if (y <= -0.024) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, t_2), 3.0);
} else if (y <= 0.0057) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * (cos(x) + -1.0))) / fma(y, (y * (t_0 * -0.75)), fma(1.5, (fma(cos(x), t_1, 3.0) - sqrt(5.0)), 3.0));
} else {
tmp = (2.0 + (fma(sin(y), -0.0625, sin(x)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) * t_1) tmp = 0.0 if (y <= -0.024) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, t_2), 3.0)); elseif (y <= 0.0057) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * Float64(cos(x) + -1.0))) / fma(y, Float64(y * Float64(t_0 * -0.75)), fma(1.5, Float64(fma(cos(x), t_1, 3.0) - sqrt(5.0)), 3.0))); else tmp = Float64(Float64(2.0 + Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]}, If[LessEqual[y, -0.024], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0057], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(y * N[(y * N[(t$95$0 * -0.75), $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x \cdot t\_1\\
\mathbf{if}\;y \leq -0.024:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 0.0057:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \left(\cos x + -1\right)}{\mathsf{fma}\left(y, y \cdot \left(t\_0 \cdot -0.75\right), \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, 3\right) - \sqrt{5}, 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.024Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6462.3
Applied rewrites62.3%
if -0.024 < y < 0.0057000000000000002Initial program 99.5%
Taylor expanded in y around 0
sub-negN/A
lower-+.f64N/A
lower-cos.f64N/A
metadata-eval98.3
Applied rewrites98.3%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
distribute-lft-inN/A
Applied rewrites98.3%
if 0.0057000000000000002 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos x) t_1)))
(if (<= y -6.8)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(fma 1.5 (fma (cos y) t_0 t_2) 3.0))
(if (<= y 0.0057)
(/
(+
2.0
(*
(+ (cos x) -1.0)
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 y (sin x))))))
(* 3.0 (+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))
(/
(+
2.0
(*
(fma (sin y) -0.0625 (sin x))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_2) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) * t_1;
double tmp;
if (y <= -6.8) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, t_2), 3.0);
} else if (y <= 0.0057) {
tmp = (2.0 + ((cos(x) + -1.0) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, y, sin(x)))))) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
} else {
tmp = (2.0 + (fma(sin(y), -0.0625, sin(x)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) * t_1) tmp = 0.0 if (y <= -6.8) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), t_0, t_2), 3.0)); elseif (y <= 0.0057) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, y, sin(x)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))); else tmp = Float64(Float64(2.0 + Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]}, If[LessEqual[y, -6.8], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0057], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x \cdot t\_1\\
\mathbf{if}\;y \leq -6.8:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 0.0057:\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, y, \sin x\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -6.79999999999999982Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6462.9
Applied rewrites62.9%
if -6.79999999999999982 < y < 0.0057000000000000002Initial program 99.5%
Taylor expanded in y around 0
sub-negN/A
lower-+.f64N/A
lower-cos.f64N/A
metadata-eval97.7
Applied rewrites97.7%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sin.f6497.7
Applied rewrites97.7%
if 0.0057000000000000002 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sin y) -0.0625 (sin x)))
(t_1 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_2 (fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_1) 3.0)))
(if (<= y -0.024)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (pow (sin y) 2.0) (* (sqrt 2.0) -0.0625))))
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_1) 3.0))
(if (<= y 0.0057)
(/
(+
2.0
(* t_0 (* (* (sqrt 2.0) (+ (cos x) -1.0)) (fma -0.0625 (sin x) y))))
t_2)
(/ (+ 2.0 (* t_0 (* (sin y) (* (sqrt 2.0) (- 1.0 (cos y)))))) t_2)))))
double code(double x, double y) {
double t_0 = fma(sin(y), -0.0625, sin(x));
double t_1 = cos(x) * (sqrt(5.0) + -1.0);
double t_2 = fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_1), 3.0);
double tmp;
if (y <= -0.024) {
tmp = (2.0 + ((cos(x) - cos(y)) * (pow(sin(y), 2.0) * (sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_1), 3.0);
} else if (y <= 0.0057) {
tmp = (2.0 + (t_0 * ((sqrt(2.0) * (cos(x) + -1.0)) * fma(-0.0625, sin(x), y)))) / t_2;
} else {
tmp = (2.0 + (t_0 * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / t_2;
}
return tmp;
}
function code(x, y) t_0 = fma(sin(y), -0.0625, sin(x)) t_1 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_2 = fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_1), 3.0) tmp = 0.0 if (y <= -0.024) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * -0.0625)))) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_1), 3.0)); elseif (y <= 0.0057) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * fma(-0.0625, sin(x), y)))) / t_2); else tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.024], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.0057], N[(N[(2.0 + N[(t$95$0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(N[(2.0 + N[(t$95$0 * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_1 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_2 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_1\right), 3\right)\\
\mathbf{if}\;y \leq -0.024:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot -0.0625\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_1\right), 3\right)}\\
\mathbf{elif}\;y \leq 0.0057:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, y\right)\right)}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{t\_2}\\
\end{array}
\end{array}
if y < -0.024Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6462.3
Applied rewrites62.3%
if -0.024 < y < 0.0057000000000000002Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Applied rewrites99.5%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.5%
Taylor expanded in y around 0
associate-*l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6498.3
Applied rewrites98.3%
if 0.0057000000000000002 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1
(/
(+
2.0
(*
(fma (sin y) -0.0625 (sin x))
(* (sin y) (* (sqrt 2.0) (- 1.0 (cos y))))))
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_0) 3.0))))
(if (<= y -650.0)
t_1
(if (<= y 0.0012)
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_0) 1.0))
t_1))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = (2.0 + (fma(sin(y), -0.0625, sin(x)) * (sin(y) * (sqrt(2.0) * (1.0 - cos(y)))))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_0), 3.0);
double tmp;
if (y <= -650.0) {
tmp = t_1;
} else if (y <= 0.0012) {
tmp = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), t_0), 1.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(Float64(2.0 + Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_0), 3.0)) tmp = 0.0 if (y <= -650.0) tmp = t_1; elseif (y <= 0.0012) tmp = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_0), 1.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -650.0], t$95$1, If[LessEqual[y, 0.0012], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := \frac{2 + \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_0\right), 3\right)}\\
\mathbf{if}\;y \leq -650:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.0012:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -650 or 0.00119999999999999989 < y Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
Applied rewrites99.4%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6463.3
Applied rewrites63.3%
if -650 < y < 0.00119999999999999989Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites96.0%
Final simplification78.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos x) t_1))
(t_3 (pow (sin y) 2.0)))
(if (<= y -6.8)
(/
(+ 2.0 (* (- (cos x) (cos y)) (* t_3 t_0)))
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_2) 3.0))
(if (<= y 1.05e-5)
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (- (fma (cos x) t_1 3.0) (sqrt 5.0)) 1.0))
(/
(fma t_3 (* (- 1.0 (cos y)) t_0) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_2) 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) * t_1;
double t_3 = pow(sin(y), 2.0);
double tmp;
if (y <= -6.8) {
tmp = (2.0 + ((cos(x) - cos(y)) * (t_3 * t_0))) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_2), 3.0);
} else if (y <= 1.05e-5) {
tmp = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, (fma(cos(x), t_1, 3.0) - sqrt(5.0)), 1.0);
} else {
tmp = fma(t_3, ((1.0 - cos(y)) * t_0), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) * t_1) t_3 = sin(y) ^ 2.0 tmp = 0.0 if (y <= -6.8) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_3 * t_0))) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_2), 3.0)); elseif (y <= 1.05e-5) tmp = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), t_1, 3.0) - sqrt(5.0)), 1.0)); else tmp = Float64(fma(t_3, Float64(Float64(1.0 - cos(y)) * t_0), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[y, -6.8], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.05e-5], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$3 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x \cdot t\_1\\
t_3 := {\sin y}^{2}\\
\mathbf{if}\;y \leq -6.8:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(t\_3 \cdot t\_0\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 1.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_1, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_3, \left(1 - \cos y\right) \cdot t\_0, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -6.79999999999999982Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6462.9
Applied rewrites62.9%
if -6.79999999999999982 < y < 1.04999999999999994e-5Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites97.3%
if 1.04999999999999994e-5 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.0
Applied rewrites62.0%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 2.0) -0.0625))
(t_1 (* t_0 (- 0.5 (* 0.5 (cos (+ x x))))))
(t_2 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_3 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_2) 3.0)))
(if (<= x -0.00128)
(/ (fma (- (cos x) (cos y)) t_1 2.0) t_3)
(if (<= x 0.00145)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) t_0) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_2) 3.0))
(/
(fma (* t_1 -2.0) (* (sin (* 0.5 (- x y))) (sin (* 0.5 (+ x y)))) 2.0)
t_3)))))
double code(double x, double y) {
double t_0 = sqrt(2.0) * -0.0625;
double t_1 = t_0 * (0.5 - (0.5 * cos((x + x))));
double t_2 = cos(x) * (sqrt(5.0) + -1.0);
double t_3 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_2), 3.0);
double tmp;
if (x <= -0.00128) {
tmp = fma((cos(x) - cos(y)), t_1, 2.0) / t_3;
} else if (x <= 0.00145) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * t_0), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_2), 3.0);
} else {
tmp = fma((t_1 * -2.0), (sin((0.5 * (x - y))) * sin((0.5 * (x + y)))), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(2.0) * -0.0625) t_1 = Float64(t_0 * Float64(0.5 - Float64(0.5 * cos(Float64(x + x))))) t_2 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_3 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_2), 3.0) tmp = 0.0 if (x <= -0.00128) tmp = Float64(fma(Float64(cos(x) - cos(y)), t_1, 2.0) / t_3); elseif (x <= 0.00145) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * t_0), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_2), 3.0)); else tmp = Float64(fma(Float64(t_1 * -2.0), Float64(sin(Float64(0.5 * Float64(x - y))) * sin(Float64(0.5 * Float64(x + y)))), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[x, -0.00128], N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[x, 0.00145], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 * -2.0), $MachinePrecision] * N[(N[Sin[N[(0.5 * N[(x - y), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * N[(x + y), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot -0.0625\\
t_1 := t\_0 \cdot \left(0.5 - 0.5 \cdot \cos \left(x + x\right)\right)\\
t_2 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_2\right), 3\right)\\
\mathbf{if}\;x \leq -0.00128:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - \cos y, t\_1, 2\right)}{t\_3}\\
\mathbf{elif}\;x \leq 0.00145:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot t\_0, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_2\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1 \cdot -2, \sin \left(0.5 \cdot \left(x - y\right)\right) \cdot \sin \left(0.5 \cdot \left(x + y\right)\right), 2\right)}{t\_3}\\
\end{array}
\end{array}
if x < -0.0012800000000000001Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in y around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6460.1
Applied rewrites60.1%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6460.1
Applied rewrites60.1%
if -0.0012800000000000001 < x < 0.00145Initial program 99.7%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.8%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.3
Applied rewrites99.3%
if 0.00145 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sqrt.f6455.1
Applied rewrites55.1%
Applied rewrites55.2%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (pow (sin y) 2.0))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (* (cos x) t_1))
(t_3 (- 1.0 (cos y))))
(if (<= y -6.8)
(/
(fma (* (sqrt 2.0) t_0) (* -0.0625 t_3) 2.0)
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_2) 3.0))
(if (<= y 1.05e-5)
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (- (fma (cos x) t_1 3.0) (sqrt 5.0)) 1.0))
(/
(fma t_0 (* t_3 (* (sqrt 2.0) -0.0625)) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_2) 3.0))))))
double code(double x, double y) {
double t_0 = pow(sin(y), 2.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = cos(x) * t_1;
double t_3 = 1.0 - cos(y);
double tmp;
if (y <= -6.8) {
tmp = fma((sqrt(2.0) * t_0), (-0.0625 * t_3), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_2), 3.0);
} else if (y <= 1.05e-5) {
tmp = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, (fma(cos(x), t_1, 3.0) - sqrt(5.0)), 1.0);
} else {
tmp = fma(t_0, (t_3 * (sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = sin(y) ^ 2.0 t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(cos(x) * t_1) t_3 = Float64(1.0 - cos(y)) tmp = 0.0 if (y <= -6.8) tmp = Float64(fma(Float64(sqrt(2.0) * t_0), Float64(-0.0625 * t_3), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_2), 3.0)); elseif (y <= 1.05e-5) tmp = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), t_1, 3.0) - sqrt(5.0)), 1.0)); else tmp = Float64(fma(t_0, Float64(t_3 * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -6.8], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision] * N[(-0.0625 * t$95$3), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.05e-5], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[(t$95$3 * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin y}^{2}\\
t_1 := \sqrt{5} + -1\\
t_2 := \cos x \cdot t\_1\\
t_3 := 1 - \cos y\\
\mathbf{if}\;y \leq -6.8:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot t\_0, -0.0625 \cdot t\_3, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 1.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_1, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, t\_3 \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -6.79999999999999982Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6462.9
Applied rewrites62.9%
if -6.79999999999999982 < y < 1.04999999999999994e-5Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites97.3%
if 1.04999999999999994e-5 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.5%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.0
Applied rewrites62.0%
Final simplification78.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(/
(fma
(* (sqrt 2.0) (pow (sin y) 2.0))
(* -0.0625 (- 1.0 (cos y)))
2.0)
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) t_0)) 3.0))))
(if (<= y -6.8)
t_1
(if (<= y 1.05e-5)
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (- (fma (cos x) t_0 3.0) (sqrt 5.0)) 1.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma((sqrt(2.0) * pow(sin(y), 2.0)), (-0.0625 * (1.0 - cos(y))), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * t_0)), 3.0);
double tmp;
if (y <= -6.8) {
tmp = t_1;
} else if (y <= 1.05e-5) {
tmp = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, (fma(cos(x), t_0, 3.0) - sqrt(5.0)), 1.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(fma(Float64(sqrt(2.0) * (sin(y) ^ 2.0)), Float64(-0.0625 * Float64(1.0 - cos(y))), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * t_0)), 3.0)) tmp = 0.0 if (y <= -6.8) tmp = t_1; elseif (y <= 1.05e-5) tmp = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), t_0, 3.0) - sqrt(5.0)), 1.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -6.8], t$95$1, If[LessEqual[y, 1.05e-5], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\mathsf{fma}\left(\sqrt{2} \cdot {\sin y}^{2}, -0.0625 \cdot \left(1 - \cos y\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot t\_0\right), 3\right)}\\
\mathbf{if}\;y \leq -6.8:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 1.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_0, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -6.79999999999999982 or 1.04999999999999994e-5 < y Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6462.4
Applied rewrites62.4%
if -6.79999999999999982 < y < 1.04999999999999994e-5Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites97.3%
Final simplification78.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.00128)
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (fma (cos y) t_0 (* (cos x) t_1)) 1.0))
(if (<= x 0.00145)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(*
3.0
(+ 1.0 (fma (cos y) (* t_0 0.5) (* t_1 (fma -0.25 (* x x) 0.5))))))
(/
(*
0.3333333333333333
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(fma (fma (cos x) t_1 (* (cos y) t_0)) 0.5 1.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.00128) {
tmp = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, fma(cos(y), t_0, (cos(x) * t_1)), 1.0);
} else if (x <= 0.00145) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / (3.0 * (1.0 + fma(cos(y), (t_0 * 0.5), (t_1 * fma(-0.25, (x * x), 0.5)))));
} else {
tmp = (0.3333333333333333 * fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0)) / fma(fma(cos(x), t_1, (cos(y) * t_0)), 0.5, 1.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.00128) tmp = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, fma(cos(y), t_0, Float64(cos(x) * t_1)), 1.0)); elseif (x <= 0.00145) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / Float64(3.0 * Float64(1.0 + fma(cos(y), Float64(t_0 * 0.5), Float64(t_1 * fma(-0.25, Float64(x * x), 0.5)))))); else tmp = Float64(Float64(0.3333333333333333 * fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0)) / fma(fma(cos(x), t_1, Float64(cos(y) * t_0)), 0.5, 1.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.00128], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00145], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 * 0.5), $MachinePrecision] + N[(t$95$1 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.3333333333333333 * N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00128:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_1\right), 1\right)}\\
\mathbf{elif}\;x \leq 0.00145:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{3 \cdot \left(1 + \mathsf{fma}\left(\cos y, t\_0 \cdot 0.5, t\_1 \cdot \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333 \cdot \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, t\_1, \cos y \cdot t\_0\right), 0.5, 1\right)}\\
\end{array}
\end{array}
if x < -0.0012800000000000001Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in x around inf
Applied rewrites99.0%
Taylor expanded in y around 0
Applied rewrites60.0%
if -0.0012800000000000001 < x < 0.00145Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-+.f64N/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
if 0.00145 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Applied rewrites55.1%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.00128)
(/
(fma (pow (sin x) 2.0) t_1 2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_2)) 3.0))
(if (<= x 0.00145)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(*
3.0
(+ 1.0 (fma (cos y) (* t_0 0.5) (* t_2 (fma -0.25 (* x x) 0.5))))))
(/
(* 0.3333333333333333 (fma (- 0.5 (* 0.5 (cos (+ x x)))) t_1 2.0))
(fma (fma (cos x) t_2 (* (cos y) t_0)) 0.5 1.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(2.0) * fma(cos(x), -0.0625, 0.0625);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.00128) {
tmp = fma(pow(sin(x), 2.0), t_1, 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_2)), 3.0);
} else if (x <= 0.00145) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / (3.0 * (1.0 + fma(cos(y), (t_0 * 0.5), (t_2 * fma(-0.25, (x * x), 0.5)))));
} else {
tmp = (0.3333333333333333 * fma((0.5 - (0.5 * cos((x + x)))), t_1, 2.0)) / fma(fma(cos(x), t_2, (cos(y) * t_0)), 0.5, 1.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.00128) tmp = Float64(fma((sin(x) ^ 2.0), t_1, 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_2)), 3.0)); elseif (x <= 0.00145) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / Float64(3.0 * Float64(1.0 + fma(cos(y), Float64(t_0 * 0.5), Float64(t_2 * fma(-0.25, Float64(x * x), 0.5)))))); else tmp = Float64(Float64(0.3333333333333333 * fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), t_1, 2.0)) / fma(fma(cos(x), t_2, Float64(cos(y) * t_0)), 0.5, 1.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.00128], N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00145], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 * 0.5), $MachinePrecision] + N[(t$95$2 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.3333333333333333 * N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.00128:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2}, t\_1, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_2\right), 3\right)}\\
\mathbf{elif}\;x \leq 0.00145:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{3 \cdot \left(1 + \mathsf{fma}\left(\cos y, t\_0 \cdot 0.5, t\_2 \cdot \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333 \cdot \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), t\_1, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, t\_2, \cos y \cdot t\_0\right), 0.5, 1\right)}\\
\end{array}
\end{array}
if x < -0.0012800000000000001Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.9%
if -0.0012800000000000001 < x < 0.00145Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-+.f64N/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
if 0.00145 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Applied rewrites55.1%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma (fma (cos x) t_0 (* (cos y) t_2)) 0.5 1.0)))
(if (<= x -0.00128)
(/ (/ t_1 t_3) 3.0)
(if (<= x 0.00145)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(*
3.0
(+ 1.0 (fma (cos y) (* t_2 0.5) (* t_0 (fma -0.25 (* x x) 0.5))))))
(/ (* 0.3333333333333333 t_1) t_3)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(fma(cos(x), t_0, (cos(y) * t_2)), 0.5, 1.0);
double tmp;
if (x <= -0.00128) {
tmp = (t_1 / t_3) / 3.0;
} else if (x <= 0.00145) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / (3.0 * (1.0 + fma(cos(y), (t_2 * 0.5), (t_0 * fma(-0.25, (x * x), 0.5)))));
} else {
tmp = (0.3333333333333333 * t_1) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(fma(cos(x), t_0, Float64(cos(y) * t_2)), 0.5, 1.0) tmp = 0.0 if (x <= -0.00128) tmp = Float64(Float64(t_1 / t_3) / 3.0); elseif (x <= 0.00145) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / Float64(3.0 * Float64(1.0 + fma(cos(y), Float64(t_2 * 0.5), Float64(t_0 * fma(-0.25, Float64(x * x), 0.5)))))); else tmp = Float64(Float64(0.3333333333333333 * t_1) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]}, If[LessEqual[x, -0.00128], N[(N[(t$95$1 / t$95$3), $MachinePrecision] / 3.0), $MachinePrecision], If[LessEqual[x, 0.00145], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[Cos[y], $MachinePrecision] * N[(t$95$2 * 0.5), $MachinePrecision] + N[(t$95$0 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.3333333333333333 * t$95$1), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, t\_0, \cos y \cdot t\_2\right), 0.5, 1\right)\\
\mathbf{if}\;x \leq -0.00128:\\
\;\;\;\;\frac{\frac{t\_1}{t\_3}}{3}\\
\mathbf{elif}\;x \leq 0.00145:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{3 \cdot \left(1 + \mathsf{fma}\left(\cos y, t\_2 \cdot 0.5, t\_0 \cdot \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333 \cdot t\_1}{t\_3}\\
\end{array}
\end{array}
if x < -0.0012800000000000001Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6459.8
Applied rewrites59.8%
Applied rewrites59.9%
if -0.0012800000000000001 < x < 0.00145Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-+.f64N/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
if 0.00145 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Applied rewrites55.1%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma (fma (cos x) t_1 (* (cos y) t_2)) 0.5 1.0)))
(if (<= x -0.00128)
(* t_0 (/ 0.3333333333333333 t_3))
(if (<= x 0.00145)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(*
3.0
(+ 1.0 (fma (cos y) (* t_2 0.5) (* t_1 (fma -0.25 (* x x) 0.5))))))
(/ (* 0.3333333333333333 t_0) t_3)))))
double code(double x, double y) {
double t_0 = fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(fma(cos(x), t_1, (cos(y) * t_2)), 0.5, 1.0);
double tmp;
if (x <= -0.00128) {
tmp = t_0 * (0.3333333333333333 / t_3);
} else if (x <= 0.00145) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / (3.0 * (1.0 + fma(cos(y), (t_2 * 0.5), (t_1 * fma(-0.25, (x * x), 0.5)))));
} else {
tmp = (0.3333333333333333 * t_0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(fma(cos(x), t_1, Float64(cos(y) * t_2)), 0.5, 1.0) tmp = 0.0 if (x <= -0.00128) tmp = Float64(t_0 * Float64(0.3333333333333333 / t_3)); elseif (x <= 0.00145) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / Float64(3.0 * Float64(1.0 + fma(cos(y), Float64(t_2 * 0.5), Float64(t_1 * fma(-0.25, Float64(x * x), 0.5)))))); else tmp = Float64(Float64(0.3333333333333333 * t_0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]}, If[LessEqual[x, -0.00128], N[(t$95$0 * N[(0.3333333333333333 / t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00145], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(1.0 + N[(N[Cos[y], $MachinePrecision] * N[(t$95$2 * 0.5), $MachinePrecision] + N[(t$95$1 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.3333333333333333 * t$95$0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)\\
t_1 := \sqrt{5} + -1\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, t\_1, \cos y \cdot t\_2\right), 0.5, 1\right)\\
\mathbf{if}\;x \leq -0.00128:\\
\;\;\;\;t\_0 \cdot \frac{0.3333333333333333}{t\_3}\\
\mathbf{elif}\;x \leq 0.00145:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{3 \cdot \left(1 + \mathsf{fma}\left(\cos y, t\_2 \cdot 0.5, t\_1 \cdot \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333 \cdot t\_0}{t\_3}\\
\end{array}
\end{array}
if x < -0.0012800000000000001Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6459.8
Applied rewrites59.8%
Applied rewrites59.9%
if -0.0012800000000000001 < x < 0.00145Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
lower-+.f64N/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
if 0.00145 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Applied rewrites55.1%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma (fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) t_1)) 0.5 1.0)))
(if (<= x -3.4e-6)
(* t_0 (/ 0.3333333333333333 t_2))
(if (<= x 1.05e-5)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_1 -1.0)) 3.0))
(/ (* 0.3333333333333333 t_0) t_2)))))
double code(double x, double y) {
double t_0 = fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * t_1)), 0.5, 1.0);
double tmp;
if (x <= -3.4e-6) {
tmp = t_0 * (0.3333333333333333 / t_2);
} else if (x <= 1.05e-5) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_1, -1.0)), 3.0);
} else {
tmp = (0.3333333333333333 * t_0) / t_2;
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * t_1)), 0.5, 1.0) tmp = 0.0 if (x <= -3.4e-6) tmp = Float64(t_0 * Float64(0.3333333333333333 / t_2)); elseif (x <= 1.05e-5) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_1, -1.0)), 3.0)); else tmp = Float64(Float64(0.3333333333333333 * t_0) / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]}, If[LessEqual[x, -3.4e-6], N[(t$95$0 * N[(0.3333333333333333 / t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.05e-5], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(0.3333333333333333 * t$95$0), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot t\_1\right), 0.5, 1\right)\\
\mathbf{if}\;x \leq -3.4 \cdot 10^{-6}:\\
\;\;\;\;t\_0 \cdot \frac{0.3333333333333333}{t\_2}\\
\mathbf{elif}\;x \leq 1.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_1, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333 \cdot t\_0}{t\_2}\\
\end{array}
\end{array}
if x < -3.40000000000000006e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6459.9
Applied rewrites59.9%
Applied rewrites60.0%
if -3.40000000000000006e-6 < x < 1.04999999999999994e-5Initial program 99.7%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.7
Applied rewrites99.7%
if 1.04999999999999994e-5 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Applied rewrites55.1%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma (fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) t_1)) 0.5 1.0)))
(if (<= x -3.4e-6)
(* t_0 (/ 0.3333333333333333 t_2))
(if (<= x 1.05e-5)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_1 -1.0)) 3.0))
(/ t_0 (* 3.0 t_2))))))
double code(double x, double y) {
double t_0 = fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * t_1)), 0.5, 1.0);
double tmp;
if (x <= -3.4e-6) {
tmp = t_0 * (0.3333333333333333 / t_2);
} else if (x <= 1.05e-5) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_1, -1.0)), 3.0);
} else {
tmp = t_0 / (3.0 * t_2);
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * t_1)), 0.5, 1.0) tmp = 0.0 if (x <= -3.4e-6) tmp = Float64(t_0 * Float64(0.3333333333333333 / t_2)); elseif (x <= 1.05e-5) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_1, -1.0)), 3.0)); else tmp = Float64(t_0 / Float64(3.0 * t_2)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]}, If[LessEqual[x, -3.4e-6], N[(t$95$0 * N[(0.3333333333333333 / t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.05e-5], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(3.0 * t$95$2), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot t\_1\right), 0.5, 1\right)\\
\mathbf{if}\;x \leq -3.4 \cdot 10^{-6}:\\
\;\;\;\;t\_0 \cdot \frac{0.3333333333333333}{t\_2}\\
\mathbf{elif}\;x \leq 1.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_1, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{3 \cdot t\_2}\\
\end{array}
\end{array}
if x < -3.40000000000000006e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6459.9
Applied rewrites59.9%
Applied rewrites60.0%
if -3.40000000000000006e-6 < x < 1.04999999999999994e-5Initial program 99.7%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.7
Applied rewrites99.7%
if 1.04999999999999994e-5 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Applied rewrites55.0%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(*
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(/
0.3333333333333333
(fma (fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) t_0)) 0.5 1.0)))))
(if (<= x -3.4e-6)
t_1
(if (<= x 1.05e-5)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_0 -1.0)) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * (0.3333333333333333 / fma(fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * t_0)), 0.5, 1.0));
double tmp;
if (x <= -3.4e-6) {
tmp = t_1;
} else if (x <= 1.05e-5) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) * Float64(0.3333333333333333 / fma(fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * t_0)), 0.5, 1.0))) tmp = 0.0 if (x <= -3.4e-6) tmp = t_1; elseif (x <= 1.05e-5) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * N[(0.3333333333333333 / N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -3.4e-6], t$95$1, If[LessEqual[x, 1.05e-5], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right) \cdot \frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot t\_0\right), 0.5, 1\right)}\\
\mathbf{if}\;x \leq -3.4 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 1.05 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_0, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -3.40000000000000006e-6 or 1.04999999999999994e-5 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.7%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f6457.7
Applied rewrites57.7%
Applied rewrites57.7%
if -3.40000000000000006e-6 < x < 1.04999999999999994e-5Initial program 99.7%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.7
Applied rewrites99.7%
Final simplification78.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 1.0))))
(if (<= x -5.5e-6)
t_0
(if (<= x 3.1e-5)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* (sqrt 2.0) -0.0625)) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) (- 3.0 (sqrt 5.0)) -1.0)) 3.0))
t_0))))
double code(double x, double y) {
double t_0 = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.0);
double tmp;
if (x <= -5.5e-6) {
tmp = t_0;
} else if (x <= 3.1e-5) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), (3.0 - sqrt(5.0)), -1.0)), 3.0);
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.0)) tmp = 0.0 if (x <= -5.5e-6) tmp = t_0; elseif (x <= 3.1e-5) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * -0.0625)), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), Float64(3.0 - sqrt(5.0)), -1.0)), 3.0)); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -5.5e-6], t$95$0, If[LessEqual[x, 3.1e-5], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{if}\;x \leq -5.5 \cdot 10^{-6}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 3.1 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -5.4999999999999999e-6 or 3.10000000000000014e-5 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around inf
Applied rewrites99.1%
Taylor expanded in y around 0
Applied rewrites56.9%
if -5.4999999999999999e-6 < x < 3.10000000000000014e-5Initial program 99.7%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6499.7
Applied rewrites99.7%
Final simplification77.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(/
(fma
(* (sqrt 2.0) (+ (cos x) -1.0))
(* (pow (sin x) 2.0) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (- (fma (cos x) t_0 3.0) (sqrt 5.0)) 1.0))))
(if (<= x -5.5e-6)
t_1
(if (<= x 3.1e-5)
(/
(fma
(pow (sin y) 2.0)
(* (* (sqrt 2.0) (- 1.0 (cos y))) -0.020833333333333332)
0.6666666666666666)
(fma 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_0) 1.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, (fma(cos(x), t_0, 3.0) - sqrt(5.0)), 1.0);
double tmp;
if (x <= -5.5e-6) {
tmp = t_1;
} else if (x <= 3.1e-5) {
tmp = fma(pow(sin(y), 2.0), ((sqrt(2.0) * (1.0 - cos(y))) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), t_0), 1.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), t_0, 3.0) - sqrt(5.0)), 1.0)) tmp = 0.0 if (x <= -5.5e-6) tmp = t_1; elseif (x <= 3.1e-5) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(sqrt(2.0) * Float64(1.0 - cos(y))) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_0), 1.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -5.5e-6], t$95$1, If[LessEqual[x, 3.1e-5], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_0, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{if}\;x \leq -5.5 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 3.1 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right) \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -5.4999999999999999e-6 or 3.10000000000000014e-5 < x Initial program 98.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around inf
Applied rewrites99.1%
Taylor expanded in y around 0
Applied rewrites56.9%
if -5.4999999999999999e-6 < x < 3.10000000000000014e-5Initial program 99.7%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around inf
Applied rewrites99.5%
Taylor expanded in x around 0
Applied rewrites99.5%
(FPCore (x y) :precision binary64 (/ (fma (* (sqrt 2.0) (+ (cos x) -1.0)) (* (pow (sin x) 2.0) -0.020833333333333332) 0.6666666666666666) (fma 0.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 1.0)))
double code(double x, double y) {
return fma((sqrt(2.0) * (cos(x) + -1.0)), (pow(sin(x), 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.0);
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)), Float64((sin(x) ^ 2.0) * -0.020833333333333332), 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.0)) end
code[x_, y_] := N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2} \cdot \left(\cos x + -1\right), {\sin x}^{2} \cdot -0.020833333333333332, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 1\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around inf
Applied rewrites99.3%
Taylor expanded in y around 0
Applied rewrites56.5%
(FPCore (x y) :precision binary64 (/ (fma (pow (sin x) 2.0) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0) (fma 1.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 3.0)))
double code(double x, double y) {
return fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0);
}
function code(x, y) return Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0)) end
code[x_, y_] := N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.9%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites56.5%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites40.3%
Taylor expanded in x around 0
Applied rewrites40.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites43.0%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (- 3.0 (sqrt 5.0))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (3.0 - sqrt(5.0))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(3.0 - sqrt(5.0))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites40.3%
Taylor expanded in x around 0
Applied rewrites40.2%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
lower-+.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-sqrt.f6440.5
Applied rewrites40.5%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (+ (sqrt 5.0) (fma (cos y) (- 3.0 (sqrt 5.0)) -1.0)) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, (sqrt(5.0) + fma(cos(y), (3.0 - sqrt(5.0)), -1.0)), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), Float64(3.0 - sqrt(5.0)), -1.0)), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, -1\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites40.3%
Taylor expanded in x around 0
Applied rewrites40.2%
(FPCore (x y) :precision binary64 (/ 2.0 (+ 3.0 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (sqrt 5.0)) -1.5))))
double code(double x, double y) {
return 2.0 / (3.0 + fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), sqrt(5.0)), -1.5));
}
function code(x, y) return Float64(2.0 / Float64(3.0 + fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), sqrt(5.0)), -1.5))) end
code[x_, y_] := N[(2.0 / N[(3.0 + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{3 + \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5}\right), -1.5\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites40.3%
Taylor expanded in x around 0
Applied rewrites40.2%
Applied rewrites40.2%
Final simplification40.2%
(FPCore (x y) :precision binary64 (/ 2.0 6.0))
double code(double x, double y) {
return 2.0 / 6.0;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 2.0d0 / 6.0d0
end function
public static double code(double x, double y) {
return 2.0 / 6.0;
}
def code(x, y): return 2.0 / 6.0
function code(x, y) return Float64(2.0 / 6.0) end
function tmp = code(x, y) tmp = 2.0 / 6.0; end
code[x_, y_] := N[(2.0 / 6.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{6}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites40.3%
Taylor expanded in x around 0
Applied rewrites40.2%
Taylor expanded in y around 0
Applied rewrites38.1%
herbie shell --seed 2024238
(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))))))