
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 28 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
(*
(sqrt 2.0)
(*
(* (fma -0.0625 (sin x) (sin y)) (fma (sin y) -0.0625 (sin x)))
(- (cos x) (cos y))))
2.0)
(*
(fma
2.0
(/ (cos y) (+ (sqrt 5.0) 3.0))
(fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0)))
double code(double x, double y) {
return ((sqrt(2.0) * ((fma(-0.0625, sin(x), sin(y)) * fma(sin(y), -0.0625, sin(x))) * (cos(x) - cos(y)))) + 2.0) / (fma(2.0, (cos(y) / (sqrt(5.0) + 3.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
}
function code(x, y) return Float64(Float64(Float64(sqrt(2.0) * Float64(Float64(fma(-0.0625, sin(x), sin(y)) * fma(sin(y), -0.0625, sin(x))) * Float64(cos(x) - cos(y)))) + 2.0) / Float64(fma(2.0, Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(2.0 * N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $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{\sqrt{2} \cdot \left(\left(\mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot \left(\cos x - \cos y\right)\right) + 2}{\mathsf{fma}\left(2, \frac{\cos y}{\sqrt{5} + 3}, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
Applied rewrites99.3%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(* (fma -0.0625 (sin x) (sin y)) (- (cos x) (cos y)))
(fma (sin y) -0.0625 (sin x)))
2.0)
(*
(fma
2.0
(/ (cos y) (+ (sqrt 5.0) 3.0))
(fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0)))
double code(double x, double y) {
return fma(sqrt(2.0), ((fma(-0.0625, sin(x), sin(y)) * (cos(x) - cos(y))) * fma(sin(y), -0.0625, sin(x))), 2.0) / (fma(2.0, (cos(y) / (sqrt(5.0) + 3.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(fma(-0.0625, sin(x), sin(y)) * Float64(cos(x) - cos(y))) * fma(sin(y), -0.0625, sin(x))), 2.0) / Float64(fma(2.0, Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(2.0 * N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $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(\sqrt{2}, \left(\mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right), 2\right)}{\mathsf{fma}\left(2, \frac{\cos y}{\sqrt{5} + 3}, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
Applied rewrites99.3%
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(fma
(* (* (sqrt 2.0) (- (cos x) (cos y))) (fma -0.0625 (sin x) (sin y)))
(fma (sin y) -0.0625 (sin x))
2.0)
(*
(fma
(fma (- 3.0 (sqrt 5.0)) (cos y) (* (- (sqrt 5.0) 1.0) (cos x)))
0.5
1.0)
3.0)))
double code(double x, double y) {
return fma(((sqrt(2.0) * (cos(x) - cos(y))) * fma(-0.0625, sin(x), sin(y))), fma(sin(y), -0.0625, sin(x)), 2.0) / (fma(fma((3.0 - sqrt(5.0)), cos(y), ((sqrt(5.0) - 1.0) * cos(x))), 0.5, 1.0) * 3.0);
}
function code(x, y) return Float64(fma(Float64(Float64(sqrt(2.0) * Float64(cos(x) - cos(y))) * fma(-0.0625, sin(x), sin(y))), fma(sin(y), -0.0625, sin(x)), 2.0) / Float64(fma(fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 0.5, 1.0) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\left(\sqrt{2} \cdot \left(\cos x - \cos y\right)\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right), \mathsf{fma}\left(\sin y, -0.0625, \sin x\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(3 - \sqrt{5}, \cos y, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 0.5, 1\right) \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites45.2%
Taylor expanded in y around inf
Applied rewrites99.2%
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
(*
(*
(* (fma (sin x) -0.0625 (sin y)) (fma (sin y) -0.0625 (sin x)))
(sqrt 2.0))
(- (cos x) (cos y)))
2.0)
(fma
1.5
(fma (- (sqrt 5.0) 1.0) (cos x) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0)))
double code(double x, double y) {
return ((((fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x))) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma((sqrt(5.0) - 1.0), cos(x), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
}
function code(x, y) return Float64(Float64(Float64(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * fma(sin(y), -0.0625, sin(x))) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[(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] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $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{\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.2%
Taylor expanded in y 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 rewrites99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (+ (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)) 1.0))
(t_2 (- (sin y) (/ (sin x) 16.0)))
(t_3 (+ (* (* t_2 (* (sqrt 2.0) (sin x))) t_0) 2.0))
(t_4 (+ (sqrt 5.0) 3.0)))
(if (<= x -0.00065)
(/ t_3 (* (+ (* (/ 2.0 t_4) (cos y)) t_1) 3.0))
(if (<= x 1e-27)
(/
(+ (* (* (* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0)) t_2) t_0) 2.0)
(fma (fma (/ (cos y) t_4) 2.0 (fma (sqrt 5.0) 0.5 -0.5)) 3.0 3.0))
(/ t_3 (* (+ (* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y)) t_1) 3.0))))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = (((sqrt(5.0) - 1.0) / 2.0) * cos(x)) + 1.0;
double t_2 = sin(y) - (sin(x) / 16.0);
double t_3 = ((t_2 * (sqrt(2.0) * sin(x))) * t_0) + 2.0;
double t_4 = sqrt(5.0) + 3.0;
double tmp;
if (x <= -0.00065) {
tmp = t_3 / ((((2.0 / t_4) * cos(y)) + t_1) * 3.0);
} else if (x <= 1e-27) {
tmp = (((((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)) * t_2) * t_0) + 2.0) / fma(fma((cos(y) / t_4), 2.0, fma(sqrt(5.0), 0.5, -0.5)), 3.0, 3.0);
} else {
tmp = t_3 / (((((3.0 - sqrt(5.0)) / 2.0) * cos(y)) + t_1) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x)) + 1.0) t_2 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_3 = Float64(Float64(Float64(t_2 * Float64(sqrt(2.0) * sin(x))) * t_0) + 2.0) t_4 = Float64(sqrt(5.0) + 3.0) tmp = 0.0 if (x <= -0.00065) tmp = Float64(t_3 / Float64(Float64(Float64(Float64(2.0 / t_4) * cos(y)) + t_1) * 3.0)); elseif (x <= 1e-27) tmp = Float64(Float64(Float64(Float64(Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)) * t_2) * t_0) + 2.0) / fma(fma(Float64(cos(y) / t_4), 2.0, fma(sqrt(5.0), 0.5, -0.5)), 3.0, 3.0)); else tmp = Float64(t_3 / Float64(Float64(Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y)) + t_1) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[x, -0.00065], N[(t$95$3 / N[(N[(N[(N[(2.0 / t$95$4), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-27], N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[Cos[y], $MachinePrecision] / t$95$4), $MachinePrecision] * 2.0 + N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$3 / N[(N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \frac{\sqrt{5} - 1}{2} \cdot \cos x + 1\\
t_2 := \sin y - \frac{\sin x}{16}\\
t_3 := \left(t\_2 \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot t\_0 + 2\\
t_4 := \sqrt{5} + 3\\
\mathbf{if}\;x \leq -0.00065:\\
\;\;\;\;\frac{t\_3}{\left(\frac{2}{t\_4} \cdot \cos y + t\_1\right) \cdot 3}\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\left(\left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right) \cdot t\_2\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{\cos y}{t\_4}, 2, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\right), 3, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_3}{\left(\frac{3 - \sqrt{5}}{2} \cdot \cos y + t\_1\right) \cdot 3}\\
\end{array}
\end{array}
if x < -6.4999999999999997e-4Initial program 99.0%
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
+-commutativeN/A
lower-+.f6498.9
Applied rewrites98.9%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6462.8
Applied rewrites62.8%
if -6.4999999999999997e-4 < x < 1e-27Initial program 99.6%
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
+-commutativeN/A
lower-+.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
if 1e-27 < x Initial program 98.9%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6456.4
Applied rewrites56.4%
Final simplification78.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2 (+ (sqrt 5.0) 3.0))
(t_3
(/
(+ (* (* t_1 (* (sqrt 2.0) (sin x))) t_0) 2.0)
(*
(+
(* (/ 2.0 t_2) (cos y))
(+ (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)) 1.0))
3.0))))
(if (<= x -0.00065)
t_3
(if (<= x 1e-27)
(/
(+ (* (* (* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0)) t_1) t_0) 2.0)
(fma (fma (/ (cos y) t_2) 2.0 (fma (sqrt 5.0) 0.5 -0.5)) 3.0 3.0))
t_3))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = sqrt(5.0) + 3.0;
double t_3 = (((t_1 * (sqrt(2.0) * sin(x))) * t_0) + 2.0) / ((((2.0 / t_2) * cos(y)) + ((((sqrt(5.0) - 1.0) / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (x <= -0.00065) {
tmp = t_3;
} else if (x <= 1e-27) {
tmp = (((((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)) * t_1) * t_0) + 2.0) / fma(fma((cos(y) / t_2), 2.0, fma(sqrt(5.0), 0.5, -0.5)), 3.0, 3.0);
} else {
tmp = t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = Float64(sqrt(5.0) + 3.0) t_3 = Float64(Float64(Float64(Float64(t_1 * Float64(sqrt(2.0) * sin(x))) * t_0) + 2.0) / Float64(Float64(Float64(Float64(2.0 / t_2) * cos(y)) + Float64(Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (x <= -0.00065) tmp = t_3; elseif (x <= 1e-27) tmp = Float64(Float64(Float64(Float64(Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)) * t_1) * t_0) + 2.0) / fma(fma(Float64(cos(y) / t_2), 2.0, fma(sqrt(5.0), 0.5, -0.5)), 3.0, 3.0)); else tmp = t_3; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / t$95$2), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00065], t$95$3, If[LessEqual[x, 1e-27], N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[Cos[y], $MachinePrecision] / t$95$2), $MachinePrecision] * 2.0 + N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \sqrt{5} + 3\\
t_3 := \frac{\left(t\_1 \cdot \left(\sqrt{2} \cdot \sin x\right)\right) \cdot t\_0 + 2}{\left(\frac{2}{t\_2} \cdot \cos y + \left(\frac{\sqrt{5} - 1}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.00065:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\left(\left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right) \cdot t\_1\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{\cos y}{t\_2}, 2, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\right), 3, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if x < -6.4999999999999997e-4 or 1e-27 < x Initial program 98.9%
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
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6459.5
Applied rewrites59.5%
if -6.4999999999999997e-4 < x < 1e-27Initial program 99.6%
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
+-commutativeN/A
lower-+.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Final simplification78.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.42)
t_1
(if (<= y 0.33)
(*
0.3333333333333333
(/
(fma
(*
(*
(fma
(* (fma -0.041666666666666664 (* y y) 0.5) y)
y
(- (cos x) 1.0))
(sqrt 2.0))
(fma (sin x) -0.0625 (sin y)))
(fma (sin y) -0.0625 (sin x))
2.0)
(fma 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (* t_0 (cos x))) 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) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.42) {
tmp = t_1;
} else if (y <= 0.33) {
tmp = 0.3333333333333333 * (fma(((fma((fma(-0.041666666666666664, (y * y), 0.5) * y), y, (cos(x) - 1.0)) * sqrt(2.0)) * fma(sin(x), -0.0625, sin(y))), fma(sin(y), -0.0625, sin(x)), 2.0) / fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), (t_0 * cos(x))), 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.42) tmp = t_1; elseif (y <= 0.33) tmp = Float64(0.3333333333333333 * Float64(fma(Float64(Float64(fma(Float64(fma(-0.041666666666666664, Float64(y * y), 0.5) * y), y, Float64(cos(x) - 1.0)) * sqrt(2.0)) * fma(sin(x), -0.0625, sin(y))), fma(sin(y), -0.0625, sin(x)), 2.0) / fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(t_0 * cos(x))), 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.42], t$95$1, If[LessEqual[y, 0.33], N[(0.3333333333333333 * N[(N[(N[(N[(N[(N[(N[(-0.041666666666666664 * N[(y * y), $MachinePrecision] + 0.5), $MachinePrecision] * y), $MachinePrecision] * y + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $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] + 2.0), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.42:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.33:\\
\;\;\;\;0.3333333333333333 \cdot \frac{\mathsf{fma}\left(\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.041666666666666664, y \cdot y, 0.5\right) \cdot y, y, \cos x - 1\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right), \mathsf{fma}\left(\sin y, -0.0625, \sin x\right), 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_0 \cdot \cos x\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.419999999999999984 or 0.330000000000000016 < y Initial program 99.0%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites58.8%
if -0.419999999999999984 < y < 0.330000000000000016Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.1%
Taylor expanded in y around inf
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites99.6%
Final simplification76.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -100.0)
t_1
(if (<= y 2.8e-26)
(/
(+
(*
(*
(fma
(* (fma 0.010416666666666666 (* y y) -0.0625) (sqrt 2.0))
y
(* (sqrt 2.0) (sin x)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y)))
2.0)
(fma
1.5
(fma t_0 (cos x) (- 3.0 (sqrt 5.0)))
(fma (fma 0.75 (sqrt 5.0) -2.25) (* y y) 3.0)))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -100.0) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = (((fma((fma(0.010416666666666666, (y * y), -0.0625) * sqrt(2.0)), y, (sqrt(2.0) * sin(x))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(t_0, cos(x), (3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), (y * y), 3.0));
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -100.0) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(Float64(Float64(Float64(fma(Float64(fma(0.010416666666666666, Float64(y * y), -0.0625) * sqrt(2.0)), y, Float64(sqrt(2.0) * sin(x))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), Float64(y * y), 3.0))); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -100.0], t$95$1, If[LessEqual[y, 2.8e-26], N[(N[(N[(N[(N[(N[(N[(0.010416666666666666 * N[(y * y), $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * y + N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 * N[Sqrt[5.0], $MachinePrecision] + -2.25), $MachinePrecision] * N[(y * y), $MachinePrecision] + 3.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -100:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\left(\mathsf{fma}\left(\mathsf{fma}\left(0.010416666666666666, y \cdot y, -0.0625\right) \cdot \sqrt{2}, y, \sqrt{2} \cdot \sin x\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), \mathsf{fma}\left(\mathsf{fma}\left(0.75, \sqrt{5}, -2.25\right), y \cdot y, 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -100 or 2.8000000000000001e-26 < y Initial program 99.0%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.2%
if -100 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites98.4%
Taylor expanded in y around 0
*-commutativeN/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.6%
Final simplification76.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0078)
t_1
(if (<= y 2.8e-26)
(/
1.0
(/
(fma
(fma t_0 (cos x) (- 3.0 (sqrt 5.0)))
1.5
(fma (fma 0.75 (sqrt 5.0) -2.25) (* y y) 3.0))
(fma
(* (fma (* y y) 0.5 (- (cos x) 1.0)) (sqrt 2.0))
(* (fma -0.0625 (sin x) (sin y)) (fma (sin y) -0.0625 (sin x)))
2.0)))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0078) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = 1.0 / (fma(fma(t_0, cos(x), (3.0 - sqrt(5.0))), 1.5, fma(fma(0.75, sqrt(5.0), -2.25), (y * y), 3.0)) / fma((fma((y * y), 0.5, (cos(x) - 1.0)) * sqrt(2.0)), (fma(-0.0625, sin(x), sin(y)) * fma(sin(y), -0.0625, sin(x))), 2.0));
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0078) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(1.0 / Float64(fma(fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), 1.5, fma(fma(0.75, sqrt(5.0), -2.25), Float64(y * y), 3.0)) / fma(Float64(fma(Float64(y * y), 0.5, Float64(cos(x) - 1.0)) * sqrt(2.0)), Float64(fma(-0.0625, sin(x), sin(y)) * fma(sin(y), -0.0625, sin(x))), 2.0))); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0078], t$95$1, If[LessEqual[y, 2.8e-26], N[(1.0 / N[(N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5 + N[(N[(0.75 * N[Sqrt[5.0], $MachinePrecision] + -2.25), $MachinePrecision] * N[(y * y), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(y * y), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0078:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{1}{\frac{\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), 1.5, \mathsf{fma}\left(\mathsf{fma}\left(0.75, \sqrt{5}, -2.25\right), y \cdot y, 3\right)\right)}{\mathsf{fma}\left(\mathsf{fma}\left(y \cdot y, 0.5, \cos x - 1\right) \cdot \sqrt{2}, \mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right), 2\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0077999999999999996 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.0077999999999999996 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
Applied rewrites99.3%
Final simplification76.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0078)
t_1
(if (<= y 2.8e-26)
(/
(fma
(fma (sin y) -0.0625 (sin x))
(*
(* (fma (* y y) 0.5 (- (cos x) 1.0)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
(fma
1.5
(fma t_0 (cos x) (- 3.0 (sqrt 5.0)))
(fma (fma 0.75 (sqrt 5.0) -2.25) (* y y) 3.0)))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0078) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = fma(fma(sin(y), -0.0625, sin(x)), ((fma((y * y), 0.5, (cos(x) - 1.0)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), (3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), (y * y), 3.0));
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0078) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(Float64(fma(Float64(y * y), 0.5, Float64(cos(x) - 1.0)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), Float64(y * y), 3.0))); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0078], t$95$1, If[LessEqual[y, 2.8e-26], N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(y * y), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 * N[Sqrt[5.0], $MachinePrecision] + -2.25), $MachinePrecision] * N[(y * y), $MachinePrecision] + 3.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0078:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \left(\mathsf{fma}\left(y \cdot y, 0.5, \cos x - 1\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), \mathsf{fma}\left(\mathsf{fma}\left(0.75, \sqrt{5}, -2.25\right), y \cdot y, 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0077999999999999996 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.0077999999999999996 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
Applied rewrites99.2%
Final simplification76.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0075)
t_1
(if (<= y 2.8e-26)
(/
(+
(*
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y)))
2.0)
(fma
1.5
(fma t_0 (cos x) (- 3.0 (sqrt 5.0)))
(fma (fma 0.75 (sqrt 5.0) -2.25) (* y y) 3.0)))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0075) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = ((((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(t_0, cos(x), (3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), (y * y), 3.0));
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0075) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), Float64(y * y), 3.0))); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0075], t$95$1, If[LessEqual[y, 2.8e-26], N[(N[(N[(N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $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] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 * N[Sqrt[5.0], $MachinePrecision] + -2.25), $MachinePrecision] * N[(y * y), $MachinePrecision] + 3.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0075:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), \mathsf{fma}\left(\mathsf{fma}\left(0.75, \sqrt{5}, -2.25\right), y \cdot y, 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0074999999999999997 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.0074999999999999997 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
Final simplification76.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0075)
t_1
(if (<= y 2.8e-26)
(/
(+
(*
(fma
(* (pow (sin x) 2.0) -0.0625)
(sqrt 2.0)
(* (* (fma 1.00390625 (sin x) (* -0.0625 y)) (sqrt 2.0)) y))
(fma (* y y) 0.5 (- (cos x) 1.0)))
2.0)
(fma
1.5
(fma t_0 (cos x) (- 3.0 (sqrt 5.0)))
(fma (fma 0.75 (sqrt 5.0) -2.25) (* y y) 3.0)))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0075) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = ((fma((pow(sin(x), 2.0) * -0.0625), sqrt(2.0), ((fma(1.00390625, sin(x), (-0.0625 * y)) * sqrt(2.0)) * y)) * fma((y * y), 0.5, (cos(x) - 1.0))) + 2.0) / fma(1.5, fma(t_0, cos(x), (3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), (y * y), 3.0));
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0075) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(Float64(Float64(fma(Float64((sin(x) ^ 2.0) * -0.0625), sqrt(2.0), Float64(Float64(fma(1.00390625, sin(x), Float64(-0.0625 * y)) * sqrt(2.0)) * y)) * fma(Float64(y * y), 0.5, Float64(cos(x) - 1.0))) + 2.0) / fma(1.5, fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), Float64(y * y), 3.0))); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0075], t$95$1, If[LessEqual[y, 2.8e-26], N[(N[(N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + N[(N[(N[(1.00390625 * N[Sin[x], $MachinePrecision] + N[(-0.0625 * y), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * y), $MachinePrecision]), $MachinePrecision] * N[(N[(y * y), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 * N[Sqrt[5.0], $MachinePrecision] + -2.25), $MachinePrecision] * N[(y * y), $MachinePrecision] + 3.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0075:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \sqrt{2}, \left(\mathsf{fma}\left(1.00390625, \sin x, -0.0625 \cdot y\right) \cdot \sqrt{2}\right) \cdot y\right) \cdot \mathsf{fma}\left(y \cdot y, 0.5, \cos x - 1\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), \mathsf{fma}\left(\mathsf{fma}\left(0.75, \sqrt{5}, -2.25\right), y \cdot y, 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0074999999999999997 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.0074999999999999997 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
Taylor expanded in y around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.1%
Final simplification76.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0062)
t_1
(if (<= y 2.8e-26)
(/
(+
(*
(fma
(* (* (sqrt 2.0) y) 1.00390625)
(sin x)
(* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)))
(fma (* y y) 0.5 (- (cos x) 1.0)))
2.0)
(fma
1.5
(fma t_0 (cos x) (- 3.0 (sqrt 5.0)))
(fma (fma 0.75 (sqrt 5.0) -2.25) (* y y) 3.0)))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0062) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = ((fma(((sqrt(2.0) * y) * 1.00390625), sin(x), ((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0))) * fma((y * y), 0.5, (cos(x) - 1.0))) + 2.0) / fma(1.5, fma(t_0, cos(x), (3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), (y * y), 3.0));
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0062) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(Float64(Float64(fma(Float64(Float64(sqrt(2.0) * y) * 1.00390625), sin(x), Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0))) * fma(Float64(y * y), 0.5, Float64(cos(x) - 1.0))) + 2.0) / fma(1.5, fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), fma(fma(0.75, sqrt(5.0), -2.25), Float64(y * y), 3.0))); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0062], t$95$1, If[LessEqual[y, 2.8e-26], N[(N[(N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * y), $MachinePrecision] * 1.00390625), $MachinePrecision] * N[Sin[x], $MachinePrecision] + N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(y * y), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 * N[Sqrt[5.0], $MachinePrecision] + -2.25), $MachinePrecision] * N[(y * y), $MachinePrecision] + 3.0), $MachinePrecision]), $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 -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0062:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\left(\sqrt{2} \cdot y\right) \cdot 1.00390625, \sin x, \left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(y \cdot y, 0.5, \cos x - 1\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), \mathsf{fma}\left(\mathsf{fma}\left(0.75, \sqrt{5}, -2.25\right), y \cdot y, 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.00619999999999999978 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.00619999999999999978 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
distribute-rgt-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower-sin.f64N/A
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
Final simplification76.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) 3.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 t_0) (cos y))
(+ (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0054)
t_1
(if (<= y 2.8e-26)
(/
(fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) (pow (sin x) 2.0) 2.0)
(*
(fma 2.0 (/ (cos y) t_0) (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + 3.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / t_0) * cos(y)) + ((((sqrt(5.0) - 1.0) / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0054) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / (fma(2.0, (cos(y) / t_0), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + 3.0) t_1 = Float64(fma(Float64(sqrt(2.0) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / t_0) * cos(y)) + Float64(Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0054) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / Float64(fma(2.0, Float64(cos(y) / t_0), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / t$95$0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0054], t$95$1, If[LessEqual[y, 2.8e-26], 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[(N[(2.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $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], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + 3\\
t_1 := \frac{\mathsf{fma}\left(\sqrt{2} \cdot -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{t\_0} \cdot \cos y + \left(\frac{\sqrt{5} - 1}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0054:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\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(2, \frac{\cos y}{t\_0}, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0054000000000000003 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.0054000000000000003 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.8%
lift-+.f64N/A
+-commutativeN/A
Applied rewrites98.9%
Final simplification76.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (sqrt 2.0) -0.0625)
(* (- 0.5 (* (cos (* y 2.0)) 0.5)) (- 1.0 (cos y)))
2.0)
(*
(+
(* (/ 2.0 (+ (sqrt 5.0) 3.0)) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))))
(if (<= y -0.0054)
t_1
(if (<= y 2.8e-26)
(*
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (pow (sin x) 2.0))
(sqrt 2.0)
2.0)
(fma (fma t_0 (cos x) (- 3.0 (sqrt 5.0))) 0.5 1.0))
0.3333333333333333)
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((sqrt(2.0) * -0.0625), ((0.5 - (cos((y * 2.0)) * 0.5)) * (1.0 - cos(y))), 2.0) / ((((2.0 / (sqrt(5.0) + 3.0)) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (y <= -0.0054) {
tmp = t_1;
} else if (y <= 2.8e-26) {
tmp = (fma((fma(cos(x), -0.0625, 0.0625) * pow(sin(x), 2.0)), sqrt(2.0), 2.0) / fma(fma(t_0, cos(x), (3.0 - sqrt(5.0))), 0.5, 1.0)) * 0.3333333333333333;
} 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) * -0.0625), Float64(Float64(0.5 - Float64(cos(Float64(y * 2.0)) * 0.5)) * Float64(1.0 - cos(y))), 2.0) / Float64(Float64(Float64(Float64(2.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -0.0054) tmp = t_1; elseif (y <= 2.8e-26) tmp = Float64(Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * (sin(x) ^ 2.0)), sqrt(2.0), 2.0) / fma(fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), 0.5, 1.0)) * 0.3333333333333333); 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] * -0.0625), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(y * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0054], t$95$1, If[LessEqual[y, 2.8e-26], N[(N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \frac{\mathsf{fma}\left(\sqrt{2} \cdot -0.0625, \left(0.5 - \cos \left(y \cdot 2\right) \cdot 0.5\right) \cdot \left(1 - \cos y\right), 2\right)}{\left(\frac{2}{\sqrt{5} + 3} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;y \leq -0.0054:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot {\sin x}^{2}, \sqrt{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), 0.5, 1\right)} \cdot 0.3333333333333333\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0054000000000000003 or 2.8000000000000001e-26 < y Initial program 99.1%
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
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites60.0%
if -0.0054000000000000003 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.8%
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.f6459.8
Applied rewrites59.8%
Taylor expanded in x around 0
Applied rewrites59.7%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites98.9%
Final simplification76.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(- 0.5 (* (cos (+ x x)) 0.5))
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma (fma t_2 (cos y) (* t_0 (cos x))) 0.5 1.0)))
(if (<= x -2e-5)
(/ 1.0 (/ (* t_3 3.0) t_1))
(if (<= x 1e-27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) t_2 t_0) 3.0))
(/ (* t_1 0.3333333333333333) t_3)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((0.5 - (cos((x + x)) * 0.5)), (fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(fma(t_2, cos(y), (t_0 * cos(x))), 0.5, 1.0);
double tmp;
if (x <= -2e-5) {
tmp = 1.0 / ((t_3 * 3.0) / t_1);
} else if (x <= 1e-27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0);
} else {
tmp = (t_1 * 0.3333333333333333) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64(0.5 - Float64(cos(Float64(x + x)) * 0.5)), Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(fma(t_2, cos(y), Float64(t_0 * cos(x))), 0.5, 1.0) tmp = 0.0 if (x <= -2e-5) tmp = Float64(1.0 / Float64(Float64(t_3 * 3.0) / t_1)); elseif (x <= 1e-27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0)); else tmp = Float64(Float64(t_1 * 0.3333333333333333) / 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[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 * N[Cos[y], $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]}, If[LessEqual[x, -2e-5], N[(1.0 / N[(N[(t$95$3 * 3.0), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * 0.3333333333333333), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left(0.5 - \cos \left(x + x\right) \cdot 0.5, \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(\mathsf{fma}\left(t\_2, \cos y, t\_0 \cdot \cos x\right), 0.5, 1\right)\\
\mathbf{if}\;x \leq -2 \cdot 10^{-5}:\\
\;\;\;\;\frac{1}{\frac{t\_3 \cdot 3}{t\_1}}\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{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 \cdot 0.3333333333333333}{t\_3}\\
\end{array}
\end{array}
if x < -2.00000000000000016e-5Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.2%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6459.2
Applied rewrites59.2%
Applied rewrites59.3%
if -2.00000000000000016e-5 < x < 1e-27Initial program 99.6%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
if 1e-27 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites52.3%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6452.3
Applied rewrites52.3%
Applied rewrites52.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 0.5 (* (cos (+ x x)) 0.5)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma -0.0625 (cos x) 0.0625))
(t_3 (- (sqrt 5.0) 1.0))
(t_4 (* t_3 (cos x))))
(if (<= x -2e-5)
(/
(fma (* t_0 t_2) (sqrt 2.0) 2.0)
(* (fma 0.5 (fma (cos y) t_1 t_4) 1.0) 3.0))
(if (<= x 1e-27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) t_1 t_3) 3.0))
(/
(* (fma t_0 (* t_2 (sqrt 2.0)) 2.0) 0.3333333333333333)
(fma (fma t_1 (cos y) t_4) 0.5 1.0))))))
double code(double x, double y) {
double t_0 = 0.5 - (cos((x + x)) * 0.5);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(-0.0625, cos(x), 0.0625);
double t_3 = sqrt(5.0) - 1.0;
double t_4 = t_3 * cos(x);
double tmp;
if (x <= -2e-5) {
tmp = fma((t_0 * t_2), sqrt(2.0), 2.0) / (fma(0.5, fma(cos(y), t_1, t_4), 1.0) * 3.0);
} else if (x <= 1e-27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_1, t_3), 3.0);
} else {
tmp = (fma(t_0, (t_2 * sqrt(2.0)), 2.0) * 0.3333333333333333) / fma(fma(t_1, cos(y), t_4), 0.5, 1.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(0.5 - Float64(cos(Float64(x + x)) * 0.5)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(-0.0625, cos(x), 0.0625) t_3 = Float64(sqrt(5.0) - 1.0) t_4 = Float64(t_3 * cos(x)) tmp = 0.0 if (x <= -2e-5) tmp = Float64(fma(Float64(t_0 * t_2), sqrt(2.0), 2.0) / Float64(fma(0.5, fma(cos(y), t_1, t_4), 1.0) * 3.0)); elseif (x <= 1e-27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_1, t_3), 3.0)); else tmp = Float64(Float64(fma(t_0, Float64(t_2 * sqrt(2.0)), 2.0) * 0.3333333333333333) / fma(fma(t_1, cos(y), t_4), 0.5, 1.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(0.5 - N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2e-5], N[(N[(N[(t$95$0 * t$95$2), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$4), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$0 * N[(t$95$2 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * 0.3333333333333333), $MachinePrecision] / N[(N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$4), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - \cos \left(x + x\right) \cdot 0.5\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right)\\
t_3 := \sqrt{5} - 1\\
t_4 := t\_3 \cdot \cos x\\
\mathbf{if}\;x \leq -2 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0 \cdot t\_2, \sqrt{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_1, t\_4\right), 1\right) \cdot 3}\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_3\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, t\_2 \cdot \sqrt{2}, 2\right) \cdot 0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(t\_1, \cos y, t\_4\right), 0.5, 1\right)}\\
\end{array}
\end{array}
if x < -2.00000000000000016e-5Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.2%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6459.2
Applied rewrites59.2%
Applied rewrites59.2%
if -2.00000000000000016e-5 < x < 1e-27Initial program 99.6%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
if 1e-27 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites52.3%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6452.3
Applied rewrites52.3%
Applied rewrites52.4%
Final simplification76.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(/
(fma
(* (- 0.5 (* (cos (+ x x)) 0.5)) (fma -0.0625 (cos x) 0.0625))
(sqrt 2.0)
2.0)
(* (fma 0.5 (fma (cos y) t_0 (* t_1 (cos x))) 1.0) 3.0))))
(if (<= x -2e-5)
t_2
(if (<= x 1e-27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) t_0 t_1) 3.0))
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 = fma(((0.5 - (cos((x + x)) * 0.5)) * fma(-0.0625, cos(x), 0.0625)), sqrt(2.0), 2.0) / (fma(0.5, fma(cos(y), t_0, (t_1 * cos(x))), 1.0) * 3.0);
double tmp;
if (x <= -2e-5) {
tmp = t_2;
} else if (x <= 1e-27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0);
} 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(fma(Float64(Float64(0.5 - Float64(cos(Float64(x + x)) * 0.5)) * fma(-0.0625, cos(x), 0.0625)), sqrt(2.0), 2.0) / Float64(fma(0.5, fma(cos(y), t_0, Float64(t_1 * cos(x))), 1.0) * 3.0)) tmp = 0.0 if (x <= -2e-5) tmp = t_2; elseif (x <= 1e-27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0)); 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[(N[(N[(0.5 - N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2e-5], t$95$2, If[LessEqual[x, 1e-27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} - 1\\
t_2 := \frac{\mathsf{fma}\left(\left(0.5 - \cos \left(x + x\right) \cdot 0.5\right) \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), \sqrt{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_0, t\_1 \cdot \cos x\right), 1\right) \cdot 3}\\
\mathbf{if}\;x \leq -2 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -2.00000000000000016e-5 or 1e-27 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.6%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6455.6
Applied rewrites55.6%
Applied rewrites55.7%
if -2.00000000000000016e-5 < x < 1e-27Initial program 99.6%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Final simplification76.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma t_0 (cos x) t_1))
(t_3 (pow (sin x) 2.0)))
(if (<= x -3e-5)
(/
(fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) t_3 2.0)
(fma 1.5 t_2 3.0))
(if (<= x 1e-27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) t_1 t_0) 3.0))
(*
(/
(fma (* (fma (cos x) -0.0625 0.0625) t_3) (sqrt 2.0) 2.0)
(fma t_2 0.5 1.0))
0.3333333333333333)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(t_0, cos(x), t_1);
double t_3 = pow(sin(x), 2.0);
double tmp;
if (x <= -3e-5) {
tmp = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), t_3, 2.0) / fma(1.5, t_2, 3.0);
} else if (x <= 1e-27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0);
} else {
tmp = (fma((fma(cos(x), -0.0625, 0.0625) * t_3), sqrt(2.0), 2.0) / fma(t_2, 0.5, 1.0)) * 0.3333333333333333;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(t_0, cos(x), t_1) t_3 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -3e-5) tmp = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), t_3, 2.0) / fma(1.5, t_2, 3.0)); elseif (x <= 1e-27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0)); else tmp = Float64(Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * t_3), sqrt(2.0), 2.0) / fma(t_2, 0.5, 1.0)) * 0.3333333333333333); 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]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -3e-5], N[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / N[(1.5 * t$95$2 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * t$95$3), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(t$95$2 * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(t\_0, \cos x, t\_1\right)\\
t_3 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -3 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, t\_3, 2\right)}{\mathsf{fma}\left(1.5, t\_2, 3\right)}\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot t\_3, \sqrt{2}, 2\right)}{\mathsf{fma}\left(t\_2, 0.5, 1\right)} \cdot 0.3333333333333333\\
\end{array}
\end{array}
if x < -3.00000000000000008e-5Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.2%
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
Applied rewrites58.1%
if -3.00000000000000008e-5 < x < 1e-27Initial program 99.6%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
if 1e-27 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites52.3%
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.f6423.9
Applied rewrites23.9%
Taylor expanded in x around 0
Applied rewrites23.7%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites51.4%
Final simplification75.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 1.5 (fma t_0 (cos x) t_1) 3.0))))
(if (<= x -3e-5)
t_2
(if (<= x 1e-27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) t_1 t_0) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(1.5, fma(t_0, cos(x), t_1), 3.0);
double tmp;
if (x <= -3e-5) {
tmp = t_2;
} else if (x <= 1e-27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(1.5, fma(t_0, cos(x), t_1), 3.0)) tmp = 0.0 if (x <= -3e-5) tmp = t_2; elseif (x <= 1e-27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0)); else tmp = t_2; 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]}, Block[{t$95$2 = 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[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -3e-5], t$95$2, If[LessEqual[x, 1e-27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \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(t\_0, \cos x, t\_1\right), 3\right)}\\
\mathbf{if}\;x \leq -3 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 10^{-27}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -3.00000000000000008e-5 or 1e-27 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites55.6%
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
Applied rewrites54.5%
if -3.00000000000000008e-5 < x < 1e-27Initial program 99.6%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/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
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
(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 (- (sqrt 5.0) 1.0) (cos x) (- 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((sqrt(5.0) - 1.0), cos(x), (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(Float64(sqrt(5.0) - 1.0), cos(x), 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[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $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(\sqrt{5} - 1, \cos x, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.8%
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
Applied rewrites55.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (/ 2.0 (fma (fma (cos y) t_1 (* t_0 (cos x))) 1.5 3.0))))
(if (<= y -0.015)
t_2
(if (<= y 2.8e-26)
(/
(fma
(- 0.5 (* (cos (+ x x)) 0.5))
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
2.0)
(*
(fma
(- (fma (* t_1 -0.5) (* y y) (fma t_0 (cos x) 3.0)) (sqrt 5.0))
0.5
1.0)
3.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = 2.0 / fma(fma(cos(y), t_1, (t_0 * cos(x))), 1.5, 3.0);
double tmp;
if (y <= -0.015) {
tmp = t_2;
} else if (y <= 2.8e-26) {
tmp = fma((0.5 - (cos((x + x)) * 0.5)), (fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), 2.0) / (fma((fma((t_1 * -0.5), (y * y), fma(t_0, cos(x), 3.0)) - sqrt(5.0)), 0.5, 1.0) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(2.0 / fma(fma(cos(y), t_1, Float64(t_0 * cos(x))), 1.5, 3.0)) tmp = 0.0 if (y <= -0.015) tmp = t_2; elseif (y <= 2.8e-26) tmp = Float64(fma(Float64(0.5 - Float64(cos(Float64(x + x)) * 0.5)), Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), 2.0) / Float64(fma(Float64(fma(Float64(t_1 * -0.5), Float64(y * y), fma(t_0, cos(x), 3.0)) - sqrt(5.0)), 0.5, 1.0) * 3.0)); else tmp = t_2; 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]}, Block[{t$95$2 = N[(2.0 / N[(N[(N[Cos[y], $MachinePrecision] * t$95$1 + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.015], t$95$2, If[LessEqual[y, 2.8e-26], N[(N[(N[(0.5 - N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(N[(t$95$1 * -0.5), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{2}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, t\_1, t\_0 \cdot \cos x\right), 1.5, 3\right)}\\
\mathbf{if}\;y \leq -0.015:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.5 - \cos \left(x + x\right) \cdot 0.5, \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_1 \cdot -0.5, y \cdot y, \mathsf{fma}\left(t\_0, \cos x, 3\right)\right) - \sqrt{5}, 0.5, 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -0.014999999999999999 or 2.8000000000000001e-26 < y Initial program 99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites27.4%
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.f6426.1
Applied rewrites26.1%
Taylor expanded in x around 0
Applied rewrites26.0%
Taylor expanded in y around inf
distribute-lft-inN/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites27.5%
if -0.014999999999999999 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.8%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6498.8
Applied rewrites98.8%
Taylor expanded in y around 0
Applied rewrites98.8%
Applied rewrites98.8%
Final simplification57.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (/ 2.0 (fma (fma (cos y) t_1 (* t_0 (cos x))) 1.5 3.0))))
(if (<= y -0.015)
t_2
(if (<= y 2.8e-26)
(*
(/
0.3333333333333333
(fma
(- (fma (* t_1 -0.5) (* y y) (fma t_0 (cos x) 3.0)) (sqrt 5.0))
0.5
1.0))
(fma
(- 0.5 (* (cos (+ x x)) 0.5))
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
2.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = 2.0 / fma(fma(cos(y), t_1, (t_0 * cos(x))), 1.5, 3.0);
double tmp;
if (y <= -0.015) {
tmp = t_2;
} else if (y <= 2.8e-26) {
tmp = (0.3333333333333333 / fma((fma((t_1 * -0.5), (y * y), fma(t_0, cos(x), 3.0)) - sqrt(5.0)), 0.5, 1.0)) * fma((0.5 - (cos((x + x)) * 0.5)), (fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), 2.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(2.0 / fma(fma(cos(y), t_1, Float64(t_0 * cos(x))), 1.5, 3.0)) tmp = 0.0 if (y <= -0.015) tmp = t_2; elseif (y <= 2.8e-26) tmp = Float64(Float64(0.3333333333333333 / fma(Float64(fma(Float64(t_1 * -0.5), Float64(y * y), fma(t_0, cos(x), 3.0)) - sqrt(5.0)), 0.5, 1.0)) * fma(Float64(0.5 - Float64(cos(Float64(x + x)) * 0.5)), Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), 2.0)); else tmp = t_2; 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]}, Block[{t$95$2 = N[(2.0 / N[(N[(N[Cos[y], $MachinePrecision] * t$95$1 + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.015], t$95$2, If[LessEqual[y, 2.8e-26], N[(N[(0.3333333333333333 / N[(N[(N[(N[(t$95$1 * -0.5), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{2}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, t\_1, t\_0 \cdot \cos x\right), 1.5, 3\right)}\\
\mathbf{if}\;y \leq -0.015:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-26}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(t\_1 \cdot -0.5, y \cdot y, \mathsf{fma}\left(t\_0, \cos x, 3\right)\right) - \sqrt{5}, 0.5, 1\right)} \cdot \mathsf{fma}\left(0.5 - \cos \left(x + x\right) \cdot 0.5, \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, 2\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -0.014999999999999999 or 2.8000000000000001e-26 < y Initial program 99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites27.4%
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.f6426.1
Applied rewrites26.1%
Taylor expanded in x around 0
Applied rewrites26.0%
Taylor expanded in y around inf
distribute-lft-inN/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites27.5%
if -0.014999999999999999 < y < 2.8000000000000001e-26Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.8%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6498.8
Applied rewrites98.8%
Taylor expanded in y around 0
Applied rewrites98.8%
Applied rewrites98.8%
Final simplification57.8%
(FPCore (x y)
:precision binary64
(/
2.0
(*
(fma
0.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (- (sqrt 5.0) 1.0) (cos x)))
1.0)
3.0)))
double code(double x, double y) {
return 2.0 / (fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), ((sqrt(5.0) - 1.0) * cos(x))), 1.0) * 3.0);
}
function code(x, y) return Float64(2.0 / Float64(fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 1.0) * 3.0)) end
code[x_, y_] := N[(2.0 / N[(N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 1\right) \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.8%
Taylor expanded in y around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6457.8
Applied rewrites57.8%
Taylor expanded in x around 0
Applied rewrites43.1%
Final simplification43.1%
(FPCore (x y) :precision binary64 (/ 2.0 (fma (fma (cos y) (- 3.0 (sqrt 5.0)) (* (- (sqrt 5.0) 1.0) (cos x))) 1.5 3.0)))
double code(double x, double y) {
return 2.0 / fma(fma(cos(y), (3.0 - sqrt(5.0)), ((sqrt(5.0) - 1.0) * cos(x))), 1.5, 3.0);
}
function code(x, y) return Float64(2.0 / fma(fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 1.5, 3.0)) end
code[x_, y_] := N[(2.0 / N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 1.5, 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.8%
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.f6440.4
Applied rewrites40.4%
Taylor expanded in x around 0
Applied rewrites40.4%
Taylor expanded in y around inf
distribute-lft-inN/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites43.1%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (- (sqrt 5.0) 1.0) (cos x) (- 3.0 (sqrt 5.0))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma((sqrt(5.0) - 1.0), cos(x), (3.0 - sqrt(5.0))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), Float64(3.0 - sqrt(5.0))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $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(\sqrt{5} - 1, \cos x, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.8%
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.f6440.4
Applied rewrites40.4%
Taylor expanded in x around 0
Applied rewrites40.4%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-+r-N/A
+-commutativeN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites40.8%
(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 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.8%
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.f6440.4
Applied rewrites40.4%
Taylor expanded in x around 0
Applied rewrites40.4%
(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 99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites57.8%
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.f6440.4
Applied rewrites40.4%
Taylor expanded in x around 0
Applied rewrites40.4%
Taylor expanded in y around 0
Applied rewrites38.5%
herbie shell --seed 2024240
(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))))))