
(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 19 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y) :precision binary64 (/ (fma (fma (sin y) -0.0625 (sin x)) (* (sqrt 2.0) (* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y)))) 2.0) (fma (fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0) 3.0 (* (* 3.0 (cos y)) (* 0.5 (- 3.0 (sqrt 5.0)))))))
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(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * (3.0 - sqrt(5.0)))));
}
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(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * Float64(3.0 - sqrt(5.0)))))) 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[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot \left(3 - \sqrt{5}\right)\right)\right)}
\end{array}
Initial program 99.3%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.4%
(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
(* (cos y) 0.5)
(- 3.0 (sqrt 5.0))
(fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 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((cos(y) * 0.5), (3.0 - sqrt(5.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 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) / Float64(fma(Float64(cos(y) * 0.5), Float64(3.0 - sqrt(5.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 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[(N[(N[(N[Cos[y], $MachinePrecision] * 0.5), $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $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(\cos y \cdot 0.5, 3 - \sqrt{5}, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}
\end{array}
Initial program 99.3%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.4%
Applied rewrites99.4%
(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 x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y))) 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(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 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(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 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[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $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 x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\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%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(fma (sin y) -0.0625 (sin x))
(* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y))))
2.0)
(fma
1.5
(fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0)))
double code(double x, double y) {
return fma(sqrt(2.0), (fma(sin(y), -0.0625, sin(x)) * ((cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(fma(sin(y), -0.0625, sin(x)) * Float64(Float64(cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + 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] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \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 x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\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%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (* 3.0 (cos y)) (* 0.5 t_0))))
(t_2
(+
2.0
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))))
(if (<= x -0.0055)
(/ t_2 t_1)
(if (<= x 0.0062)
(/
(fma
(fma (sin y) -0.0625 (sin x))
(* (sqrt 2.0) (* (- 1.0 (cos y)) (fma -0.0625 x (sin y))))
2.0)
t_1)
(/
t_2
(fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* t_0 (cos y))) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * t_0)));
double t_2 = 2.0 + (((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)));
double tmp;
if (x <= -0.0055) {
tmp = t_2 / t_1;
} else if (x <= 0.0062) {
tmp = fma(fma(sin(y), -0.0625, sin(x)), (sqrt(2.0) * ((1.0 - cos(y)) * fma(-0.0625, x, sin(y)))), 2.0) / t_1;
} else {
tmp = t_2 / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), (t_0 * cos(y))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * t_0))) t_2 = Float64(2.0 + Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) tmp = 0.0 if (x <= -0.0055) tmp = Float64(t_2 / t_1); elseif (x <= 0.0062) tmp = Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * fma(-0.0625, x, sin(y)))), 2.0) / t_1); else tmp = Float64(t_2 / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(t_0 * cos(y))), 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[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $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]}, If[LessEqual[x, -0.0055], N[(t$95$2 / t$95$1), $MachinePrecision], If[LessEqual[x, 0.0062], N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], N[(t$95$2 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot t\_0\right)\right)\\
t_2 := 2 + \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)\\
\mathbf{if}\;x \leq -0.0055:\\
\;\;\;\;\frac{t\_2}{t\_1}\\
\mathbf{elif}\;x \leq 0.0062:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot \mathsf{fma}\left(-0.0625, x, \sin y\right)\right), 2\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, t\_0 \cdot \cos y\right), 3\right)}\\
\end{array}
\end{array}
if x < -0.0054999999999999997Initial program 98.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.9
Applied rewrites66.9%
if -0.0054999999999999997 < x < 0.00619999999999999978Initial program 99.7%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
if 0.00619999999999999978 < 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
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.6
Applied rewrites63.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))))
(if (or (<= x -0.0055) (not (<= x 0.0062)))
(/
(+
2.0
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* t_0 (cos y))) 3.0))
(/
(fma
(fma (sin y) -0.0625 (sin x))
(* (sqrt 2.0) (* (- 1.0 (cos y)) (fma -0.0625 x (sin y))))
2.0)
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (* 3.0 (cos y)) (* 0.5 t_0)))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -0.0055) || !(x <= 0.0062)) {
tmp = (2.0 + (((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), (t_0 * cos(y))), 3.0);
} else {
tmp = fma(fma(sin(y), -0.0625, sin(x)), (sqrt(2.0) * ((1.0 - cos(y)) * fma(-0.0625, x, sin(y)))), 2.0) / fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * t_0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -0.0055) || !(x <= 0.0062)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(t_0 * cos(y))), 3.0)); else tmp = Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * fma(-0.0625, x, sin(y)))), 2.0) / fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * t_0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0055], N[Not[LessEqual[x, 0.0062]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $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[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.0055 \lor \neg \left(x \leq 0.0062\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, t\_0 \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot \mathsf{fma}\left(-0.0625, x, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot t\_0\right)\right)}\\
\end{array}
\end{array}
if x < -0.0054999999999999997 or 0.00619999999999999978 < 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 rewrites99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6464.9
Applied rewrites64.9%
if -0.0054999999999999997 < x < 0.00619999999999999978Initial program 99.7%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
Final simplification83.7%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (* 3.0 (cos y)) (* 0.5 (- 3.0 (sqrt 5.0))))))
(t_1 (fma (sin y) -0.0625 (sin x)))
(t_2 (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))))
(if (<= x -0.0055)
(/ (fma t_2 (pow (sin x) 2.0) 2.0) t_0)
(if (<= x 0.0062)
(/
(fma
t_1
(* (sqrt 2.0) (* (- 1.0 (cos y)) (fma -0.0625 x (sin y))))
2.0)
t_0)
(/ (fma t_1 (* t_2 (sin x)) 2.0) t_0)))))
double code(double x, double y) {
double t_0 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * (3.0 - sqrt(5.0)))));
double t_1 = fma(sin(y), -0.0625, sin(x));
double t_2 = fma(-0.0625, cos(x), 0.0625) * sqrt(2.0);
double tmp;
if (x <= -0.0055) {
tmp = fma(t_2, pow(sin(x), 2.0), 2.0) / t_0;
} else if (x <= 0.0062) {
tmp = fma(t_1, (sqrt(2.0) * ((1.0 - cos(y)) * fma(-0.0625, x, sin(y)))), 2.0) / t_0;
} else {
tmp = fma(t_1, (t_2 * sin(x)), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * Float64(3.0 - sqrt(5.0))))) t_1 = fma(sin(y), -0.0625, sin(x)) t_2 = Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)) tmp = 0.0 if (x <= -0.0055) tmp = Float64(fma(t_2, (sin(x) ^ 2.0), 2.0) / t_0); elseif (x <= 0.0062) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * fma(-0.0625, x, sin(y)))), 2.0) / t_0); else tmp = Float64(fma(t_1, Float64(t_2 * sin(x)), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0055], N[(N[(t$95$2 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[x, 0.0062], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(t$95$1 * N[(t$95$2 * N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot \left(3 - \sqrt{5}\right)\right)\right)\\
t_1 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_2 := \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}\\
\mathbf{if}\;x \leq -0.0055:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2, {\sin x}^{2}, 2\right)}{t\_0}\\
\mathbf{elif}\;x \leq 0.0062:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot \mathsf{fma}\left(-0.0625, x, \sin y\right)\right), 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, t\_2 \cdot \sin x, 2\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.0054999999999999997Initial program 98.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6463.8
Applied rewrites63.8%
if -0.0054999999999999997 < x < 0.00619999999999999978Initial program 99.7%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
if 0.00619999999999999978 < x Initial program 98.9%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.0%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
sub-negN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-sin.f6460.4
Applied rewrites60.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (* 3.0 (cos y)) (* 0.5 (- 3.0 (sqrt 5.0))))))
(t_1 (fma (sin y) -0.0625 (sin x)))
(t_2 (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))))
(if (<= x -0.0052)
(/ (fma t_2 (pow (sin x) 2.0) 2.0) t_0)
(if (<= x 0.0027)
(/ (fma t_1 (* (sqrt 2.0) (* (- 1.0 (cos y)) (sin y))) 2.0) t_0)
(/ (fma t_1 (* t_2 (sin x)) 2.0) t_0)))))
double code(double x, double y) {
double t_0 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * (3.0 - sqrt(5.0)))));
double t_1 = fma(sin(y), -0.0625, sin(x));
double t_2 = fma(-0.0625, cos(x), 0.0625) * sqrt(2.0);
double tmp;
if (x <= -0.0052) {
tmp = fma(t_2, pow(sin(x), 2.0), 2.0) / t_0;
} else if (x <= 0.0027) {
tmp = fma(t_1, (sqrt(2.0) * ((1.0 - cos(y)) * sin(y))), 2.0) / t_0;
} else {
tmp = fma(t_1, (t_2 * sin(x)), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * Float64(3.0 - sqrt(5.0))))) t_1 = fma(sin(y), -0.0625, sin(x)) t_2 = Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)) tmp = 0.0 if (x <= -0.0052) tmp = Float64(fma(t_2, (sin(x) ^ 2.0), 2.0) / t_0); elseif (x <= 0.0027) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * sin(y))), 2.0) / t_0); else tmp = Float64(fma(t_1, Float64(t_2 * sin(x)), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0052], N[(N[(t$95$2 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[x, 0.0027], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(t$95$1 * N[(t$95$2 * N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot \left(3 - \sqrt{5}\right)\right)\right)\\
t_1 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_2 := \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}\\
\mathbf{if}\;x \leq -0.0052:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2, {\sin x}^{2}, 2\right)}{t\_0}\\
\mathbf{elif}\;x \leq 0.0027:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot \sin y\right), 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, t\_2 \cdot \sin x, 2\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.0051999999999999998Initial program 98.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6463.8
Applied rewrites63.8%
if -0.0051999999999999998 < x < 0.0027000000000000001Initial program 99.7%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.7%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 0.0027000000000000001 < x Initial program 98.9%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.0%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
sub-negN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-sin.f6460.4
Applied rewrites60.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (* 3.0 (cos y)) (* 0.5 t_1)))))
(if (<= x -0.0052)
(/ t_0 t_2)
(if (<= x 0.0027)
(/
(fma
(fma (sin y) -0.0625 (sin x))
(* (sqrt 2.0) (* (- 1.0 (cos y)) (sin y)))
2.0)
t_2)
(/
t_0
(fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* t_1 (cos y))) 3.0))))))
double code(double x, double y) {
double t_0 = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * t_1)));
double tmp;
if (x <= -0.0052) {
tmp = t_0 / t_2;
} else if (x <= 0.0027) {
tmp = fma(fma(sin(y), -0.0625, sin(x)), (sqrt(2.0) * ((1.0 - cos(y)) * sin(y))), 2.0) / t_2;
} else {
tmp = t_0 / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), (t_1 * cos(y))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * t_1))) tmp = 0.0 if (x <= -0.0052) tmp = Float64(t_0 / t_2); elseif (x <= 0.0027) tmp = Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(sqrt(2.0) * Float64(Float64(1.0 - cos(y)) * sin(y))), 2.0) / t_2); else tmp = Float64(t_0 / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(t_1 * cos(y))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $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] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0052], N[(t$95$0 / t$95$2), $MachinePrecision], If[LessEqual[x, 0.0027], N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], N[(t$95$0 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot t\_1\right)\right)\\
\mathbf{if}\;x \leq -0.0052:\\
\;\;\;\;\frac{t\_0}{t\_2}\\
\mathbf{elif}\;x \leq 0.0027:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \sqrt{2} \cdot \left(\left(1 - \cos y\right) \cdot \sin y\right), 2\right)}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, t\_1 \cdot \cos y\right), 3\right)}\\
\end{array}
\end{array}
if x < -0.0051999999999999998Initial program 98.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6463.8
Applied rewrites63.8%
if -0.0051999999999999998 < x < 0.0027000000000000001Initial program 99.7%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.7%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 0.0027000000000000001 < 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
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6460.4
Applied rewrites60.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0))
(t_1 (- 3.0 (sqrt 5.0))))
(if (<= x -3e-6)
(/
t_0
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (* 3.0 (cos y)) (* 0.5 t_1))))
(if (<= x 1.45e-5)
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (* 0.5 (cos y)) t_1 (/ 2.0 (+ (sqrt 5.0) 1.0))) 3.0 3.0))
(/
t_0
(fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* t_1 (cos y))) 3.0))))))
double code(double x, double y) {
double t_0 = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0);
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -3e-6) {
tmp = t_0 / fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((3.0 * cos(y)) * (0.5 * t_1)));
} else if (x <= 1.45e-5) {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma((0.5 * cos(y)), t_1, (2.0 / (sqrt(5.0) + 1.0))), 3.0, 3.0);
} else {
tmp = t_0 / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), (t_1 * cos(y))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -3e-6) tmp = Float64(t_0 / fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(3.0 * cos(y)) * Float64(0.5 * t_1)))); elseif (x <= 1.45e-5) tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(Float64(0.5 * cos(y)), t_1, Float64(2.0 / Float64(sqrt(5.0) + 1.0))), 3.0, 3.0)); else tmp = Float64(t_0 / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(t_1 * cos(y))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -3e-6], N[(t$95$0 / N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(3.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-5], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1 + N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(3 \cdot \cos y\right) \cdot \left(0.5 \cdot t\_1\right)\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \cos y, t\_1, \frac{2}{\sqrt{5} + 1}\right), 3, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, t\_1 \cdot \cos y\right), 3\right)}\\
\end{array}
\end{array}
if x < -3.0000000000000001e-6Initial program 98.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6463.8
Applied rewrites63.8%
if -3.0000000000000001e-6 < x < 1.45e-5Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-/.f64N/A
div-invN/A
lift--.f64N/A
flip--N/A
metadata-evalN/A
associate-*l/N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
lower-+.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
if 1.45e-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 y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6460.4
Applied rewrites60.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))))
(if (or (<= x -3e-6) (not (<= x 1.45e-5)))
(/
(fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) (pow (sin x) 2.0) 2.0)
(fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* t_0 (cos y))) 3.0))
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (* 0.5 (cos y)) t_0 (/ 2.0 (+ (sqrt 5.0) 1.0))) 3.0 3.0)))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -3e-6) || !(x <= 1.45e-5)) {
tmp = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), (t_0 * cos(y))), 3.0);
} else {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma((0.5 * cos(y)), t_0, (2.0 / (sqrt(5.0) + 1.0))), 3.0, 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -3e-6) || !(x <= 1.45e-5)) tmp = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(t_0 * cos(y))), 3.0)); else tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(Float64(0.5 * cos(y)), t_0, Float64(2.0 / Float64(sqrt(5.0) + 1.0))), 3.0, 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -3e-6], N[Not[LessEqual[x, 1.45e-5]], $MachinePrecision]], N[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3 \cdot 10^{-6} \lor \neg \left(x \leq 1.45 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, t\_0 \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \cos y, t\_0, \frac{2}{\sqrt{5} + 1}\right), 3, 3\right)}\\
\end{array}
\end{array}
if x < -3.0000000000000001e-6 or 1.45e-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 rewrites99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6461.8
Applied rewrites61.8%
if -3.0000000000000001e-6 < x < 1.45e-5Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-/.f64N/A
div-invN/A
lift--.f64N/A
flip--N/A
metadata-evalN/A
associate-*l/N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
lower-+.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma (cos x) (- (sqrt 5.0) 1.0) t_1)))
(if (<= x -3.2e-6)
(* (/ t_0 (fma 0.5 t_2 1.0)) 0.3333333333333333)
(if (<= x 2.5e-5)
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (* 0.5 (cos y)) t_1 (/ 2.0 (+ (sqrt 5.0) 1.0))) 3.0 3.0))
(/ t_0 (fma 1.5 t_2 3.0))))))
double code(double x, double y) {
double t_0 = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(cos(x), (sqrt(5.0) - 1.0), t_1);
double tmp;
if (x <= -3.2e-6) {
tmp = (t_0 / fma(0.5, t_2, 1.0)) * 0.3333333333333333;
} else if (x <= 2.5e-5) {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma((0.5 * cos(y)), t_1, (2.0 / (sqrt(5.0) + 1.0))), 3.0, 3.0);
} else {
tmp = t_0 / fma(1.5, t_2, 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(cos(x), Float64(sqrt(5.0) - 1.0), t_1) tmp = 0.0 if (x <= -3.2e-6) tmp = Float64(Float64(t_0 / fma(0.5, t_2, 1.0)) * 0.3333333333333333); elseif (x <= 2.5e-5) tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(Float64(0.5 * cos(y)), t_1, Float64(2.0 / Float64(sqrt(5.0) + 1.0))), 3.0, 3.0)); else tmp = Float64(t_0 / fma(1.5, t_2, 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[x, -3.2e-6], N[(N[(t$95$0 / N[(0.5 * t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], If[LessEqual[x, 2.5e-5], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1 + N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(1.5 * t$95$2 + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(\cos x, \sqrt{5} - 1, t\_1\right)\\
\mathbf{if}\;x \leq -3.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(0.5, t\_2, 1\right)} \cdot 0.3333333333333333\\
\mathbf{elif}\;x \leq 2.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \cos y, t\_1, \frac{2}{\sqrt{5} + 1}\right), 3, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(1.5, t\_2, 3\right)}\\
\end{array}
\end{array}
if x < -3.1999999999999999e-6Initial program 98.8%
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 rewrites98.8%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites62.5%
if -3.1999999999999999e-6 < x < 2.50000000000000012e-5Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-/.f64N/A
div-invN/A
lift--.f64N/A
flip--N/A
metadata-evalN/A
associate-*l/N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
lower-+.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
if 2.50000000000000012e-5 < x Initial program 98.9%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites27.0%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6425.0
Applied rewrites25.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6457.8
Applied rewrites57.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -3.2e-6) (not (<= x 2.5e-5)))
(/
(fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) (pow (sin x) 2.0) 2.0)
(fma 1.5 (fma (cos x) t_0 t_1) 3.0))
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma 1.5 (fma (cos y) t_1 t_0) 3.0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -3.2e-6) || !(x <= 2.5e-5)) {
tmp = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0);
} else {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -3.2e-6) || !(x <= 2.5e-5)) tmp = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0)); else tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0)); 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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -3.2e-6], N[Not[LessEqual[x, 2.5e-5]], $MachinePrecision]], N[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3.2 \cdot 10^{-6} \lor \neg \left(x \leq 2.5 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_0\right), 3\right)}\\
\end{array}
\end{array}
if x < -3.1999999999999999e-6 or 2.50000000000000012e-5 < x Initial program 98.9%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites26.6%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6425.0
Applied rewrites25.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6459.7
Applied rewrites59.7%
if -3.1999999999999999e-6 < x < 2.50000000000000012e-5Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.4%
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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.4
Applied rewrites99.4%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma (cos x) t_0 t_2)))
(if (<= x -3.2e-6)
(* (/ t_1 (fma 0.5 t_3 1.0)) 0.3333333333333333)
(if (<= x 2.5e-5)
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma 1.5 (fma (cos y) t_2 t_0) 3.0))
(/ t_1 (fma 1.5 t_3 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(cos(x), t_0, t_2);
double tmp;
if (x <= -3.2e-6) {
tmp = (t_1 / fma(0.5, t_3, 1.0)) * 0.3333333333333333;
} else if (x <= 2.5e-5) {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0);
} else {
tmp = t_1 / fma(1.5, t_3, 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(cos(x), t_0, t_2) tmp = 0.0 if (x <= -3.2e-6) tmp = Float64(Float64(t_1 / fma(0.5, t_3, 1.0)) * 0.3333333333333333); elseif (x <= 2.5e-5) tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0)); else tmp = Float64(t_1 / fma(1.5, t_3, 3.0)); 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[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision]}, If[LessEqual[x, -3.2e-6], N[(N[(t$95$1 / N[(0.5 * t$95$3 + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], If[LessEqual[x, 2.5e-5], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(1.5 * t$95$3 + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(\cos x, t\_0, t\_2\right)\\
\mathbf{if}\;x \leq -3.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(0.5, t\_3, 1\right)} \cdot 0.3333333333333333\\
\mathbf{elif}\;x \leq 2.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_2, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, t\_3, 3\right)}\\
\end{array}
\end{array}
if x < -3.1999999999999999e-6Initial program 98.8%
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 rewrites98.8%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites62.5%
if -3.1999999999999999e-6 < x < 2.50000000000000012e-5Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.4%
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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.4
Applied rewrites99.4%
if 2.50000000000000012e-5 < x Initial program 98.9%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites27.0%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6425.0
Applied rewrites25.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6457.8
Applied rewrites57.8%
(FPCore (x y) :precision binary64 (/ (fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) (pow (sin x) 2.0) 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((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 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(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 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[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / 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{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\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 x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.8%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6444.8
Applied rewrites44.8%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6460.9
Applied rewrites60.9%
(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 x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.8%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6444.8
Applied rewrites44.8%
Taylor expanded in y around 0
Applied rewrites44.9%
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
lower-fma.f64N/A
Applied rewrites47.8%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (- (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)), (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(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[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5} - 1\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.8%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6444.8
Applied rewrites44.8%
Taylor expanded in y around 0
Applied rewrites44.9%
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
lower-fma.f64N/A
Applied rewrites45.0%
(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 x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.8%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6444.8
Applied rewrites44.8%
Taylor expanded in y around 0
Applied rewrites44.9%
(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 x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.8%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6444.8
Applied rewrites44.8%
Taylor expanded in y around 0
Applied rewrites44.9%
Taylor expanded in x around 0
Applied rewrites42.8%
herbie shell --seed 2024323
(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))))))