
(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 27 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
(/
(+
(*
(- (cos x) (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) (* (- (sqrt 5.0) 1.0) (cos x)))
3.0)))
double code(double x, double y) {
return (((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(Float64(Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right)\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
Initial program 99.3%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y) :precision binary64 (/ (fma (fma (sin y) -0.0625 (sin x)) (* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0)) 2.0) (fma 1.5 (fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) (* (- (sqrt 5.0) 1.0) (cos x))) 3.0)))
double code(double x, double y) {
return fma(fma(sin(y), -0.0625, sin(x)), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(fma(fma(sin(y), -0.0625, sin(x)), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
Initial program 99.3%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.5%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y)))
(fma (sin y) -0.0625 (sin x)))
2.0)
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (- (sqrt 5.0) 1.0) (cos x)))
3.0)))
double code(double x, double y) {
return fma(sqrt(2.0), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * fma(sin(y), -0.0625, sin(x))), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * fma(sin(y), -0.0625, sin(x))), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + 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[(1.5 * 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] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\mathsf{fma}\left(\sin x, -0.0625, \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(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
Initial program 99.3%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (- (sqrt 5.0) 1.0) (cos x)))
(t_1
(/
(fma
(sin x)
(* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0))
2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) t_0) 3.0))))
(if (<= x -0.001)
t_1
(if (<= x 0.00011)
(/
(+
(*
(- 1.0 (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(fma
1.5
(fma
(/ (* 4.0 (cos y)) (fma (sqrt 5.0) 5.0 27.0))
(- 14.0 (* (sqrt 5.0) 3.0))
t_0)
3.0))
t_1))))
double code(double x, double y) {
double t_0 = (sqrt(5.0) - 1.0) * cos(x);
double t_1 = fma(sin(x), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), t_0), 3.0);
double tmp;
if (x <= -0.001) {
tmp = t_1;
} else if (x <= 0.00011) {
tmp = (((1.0 - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(1.5, fma(((4.0 * cos(y)) / fma(sqrt(5.0), 5.0, 27.0)), (14.0 - (sqrt(5.0) * 3.0)), t_0), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(Float64(sqrt(5.0) - 1.0) * cos(x)) t_1 = Float64(fma(sin(x), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), t_0), 3.0)) tmp = 0.0 if (x <= -0.001) tmp = t_1; elseif (x <= 0.00011) tmp = Float64(Float64(Float64(Float64(1.0 - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(1.5, fma(Float64(Float64(4.0 * cos(y)) / fma(sqrt(5.0), 5.0, 27.0)), Float64(14.0 - Float64(sqrt(5.0) * 3.0)), t_0), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Sin[x], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.001], t$95$1, If[LessEqual[x, 0.00011], N[(N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[(4.0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] * 5.0 + 27.0), $MachinePrecision]), $MachinePrecision] * N[(14.0 - N[(N[Sqrt[5.0], $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\sqrt{5} - 1\right) \cdot \cos x\\
t_1 := \frac{\mathsf{fma}\left(\sin x, \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_0\right), 3\right)}\\
\mathbf{if}\;x \leq -0.001:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\left(1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right)\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\frac{4 \cdot \cos y}{\mathsf{fma}\left(\sqrt{5}, 5, 27\right)}, 14 - \sqrt{5} \cdot 3, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -1e-3 or 1.10000000000000004e-4 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.2%
Taylor expanded in y around 0
lower-sin.f6466.2
Applied rewrites66.2%
if -1e-3 < x < 1.10000000000000004e-4Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
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 rewrites99.6%
Applied rewrites99.7%
Final simplification83.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) 3.0))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(/
(fma
(sin x)
(* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0))
2.0)
(fma 1.5 (fma (cos y) (/ 4.0 t_0) (* t_1 (cos x))) 3.0))))
(if (<= x -0.001)
t_2
(if (<= x 0.00011)
(/
(+
(*
(- 1.0 (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(* (+ (* (/ 2.0 t_0) (cos y)) (+ (* (/ t_1 2.0) (cos x)) 1.0)) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + 3.0;
double t_1 = sqrt(5.0) - 1.0;
double t_2 = fma(sin(x), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / t_0), (t_1 * cos(x))), 3.0);
double tmp;
if (x <= -0.001) {
tmp = t_2;
} else if (x <= 0.00011) {
tmp = (((1.0 - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / ((((2.0 / t_0) * cos(y)) + (((t_1 / 2.0) * cos(x)) + 1.0)) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + 3.0) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(fma(sin(x), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / t_0), Float64(t_1 * cos(x))), 3.0)) tmp = 0.0 if (x <= -0.001) tmp = t_2; elseif (x <= 0.00011) tmp = Float64(Float64(Float64(Float64(1.0 - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / Float64(Float64(Float64(Float64(2.0 / t_0) * cos(y)) + Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 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] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sin[x], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / t$95$0), $MachinePrecision] + N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.001], t$95$2, If[LessEqual[x, 0.00011], N[(N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(2.0 / t$95$0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + 3\\
t_1 := \sqrt{5} - 1\\
t_2 := \frac{\mathsf{fma}\left(\sin x, \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{t\_0}, t\_1 \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;x \leq -0.001:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\left(1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right)\right) + 2}{\left(\frac{2}{t\_0} \cdot \cos y + \left(\frac{t\_1}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -1e-3 or 1.10000000000000004e-4 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.2%
Taylor expanded in y around 0
lower-sin.f6466.2
Applied rewrites66.2%
if -1e-3 < x < 1.10000000000000004e-4Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
flip--N/A
associate-*r/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%
Final simplification83.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(fma
(sin x)
(* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0))
2.0)
(fma
1.5
(fma
(cos y)
(/ 4.0 (+ (sqrt 5.0) 3.0))
(* (- (sqrt 5.0) 1.0) (cos x)))
3.0))))
(if (<= x -0.001)
t_0
(if (<= x 0.00011)
(/
(+
(*
(- 1.0 (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(fma
(* (* 0.5 (- 3.0 (sqrt 5.0))) 3.0)
(cos y)
(* (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0) 3.0)))
t_0))))
double code(double x, double y) {
double t_0 = fma(sin(x), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
double tmp;
if (x <= -0.001) {
tmp = t_0;
} else if (x <= 0.00011) {
tmp = (((1.0 - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(((0.5 * (3.0 - sqrt(5.0))) * 3.0), cos(y), (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0) * 3.0));
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma(sin(x), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) tmp = 0.0 if (x <= -0.001) tmp = t_0; elseif (x <= 0.00011) tmp = Float64(Float64(Float64(Float64(1.0 - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(Float64(Float64(0.5 * Float64(3.0 - sqrt(5.0))) * 3.0), cos(y), Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0) * 3.0))); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[Sin[x], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.001], t$95$0, If[LessEqual[x, 0.00011], N[(N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left(\sin x, \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;x \leq -0.001:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\left(1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right)\right) + 2}{\mathsf{fma}\left(\left(0.5 \cdot \left(3 - \sqrt{5}\right)\right) \cdot 3, \cos y, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right) \cdot 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -1e-3 or 1.10000000000000004e-4 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.2%
Taylor expanded in y around 0
lower-sin.f6466.2
Applied rewrites66.2%
if -1e-3 < x < 1.10000000000000004e-4Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Applied rewrites99.6%
Final simplification83.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(sin x)
(* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0))
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) (* t_0 (cos x)))
3.0))))
(if (<= x -0.001)
t_1
(if (<= x 0.00011)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(*
(+
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))
(+ (* (/ t_0 2.0) (cos x)) 1.0))
3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma(sin(x), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), (t_0 * cos(x))), 3.0);
double tmp;
if (x <= -0.001) {
tmp = t_1;
} else if (x <= 0.00011) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / (((((3.0 - sqrt(5.0)) / 2.0) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(fma(sin(x), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), Float64(t_0 * cos(x))), 3.0)) tmp = 0.0 if (x <= -0.001) tmp = t_1; elseif (x <= 0.00011) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / Float64(Float64(Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * 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] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Sin[x], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.001], t$95$1, If[LessEqual[x, 0.00011], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $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], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \frac{\mathsf{fma}\left(\sin x, \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_0 \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;x \leq -0.001:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\left(\frac{3 - \sqrt{5}}{2} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -1e-3 or 1.10000000000000004e-4 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.2%
Taylor expanded in y around 0
lower-sin.f6466.2
Applied rewrites66.2%
if -1e-3 < x < 1.10000000000000004e-4Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
Final simplification83.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(/
(+
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y)))
2.0)
(fma 1.5 (fma (cos y) t_0 (* t_1 (cos x))) 3.0))))
(if (<= x -0.001)
t_2
(if (<= x 0.00011)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(* (+ (* (/ t_0 2.0) (cos y)) (+ (* (/ t_1 2.0) (cos x)) 1.0)) 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 = ((((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, (t_1 * cos(x))), 3.0);
double tmp;
if (x <= -0.001) {
tmp = t_2;
} else if (x <= 0.00011) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / ((((t_0 / 2.0) * cos(y)) + (((t_1 / 2.0) * cos(x)) + 1.0)) * 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(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, Float64(t_1 * cos(x))), 3.0)) tmp = 0.0 if (x <= -0.001) tmp = t_2; elseif (x <= 0.00011) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / Float64(Float64(Float64(Float64(t_0 / 2.0) * cos(y)) + Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 1.0)) * 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[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.001], t$95$2, If[LessEqual[x, 0.00011], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $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{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_1 \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;x \leq -0.001:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\left(\frac{t\_0}{2} \cdot \cos y + \left(\frac{t\_1}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -1e-3 or 1.10000000000000004e-4 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6466.1
Applied rewrites66.1%
if -1e-3 < x < 1.10000000000000004e-4Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
Final simplification83.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sin y) -0.0625 (sin x)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (* t_1 (cos x)))
(t_3 (- 1.0 (cos y)))
(t_4 (- 3.0 (sqrt 5.0))))
(if (<= y -0.00265)
(/
(fma t_0 (* (* t_3 (sin y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) t_2) 3.0))
(if (<= y 5.2e-12)
(/
(fma
(- (cos x) 1.0)
(*
(fma (* 1.00390625 (sin x)) y (* (pow (sin x) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma t_1 (cos x) (* t_4 (cos y))) 3.0))
(/
(fma (* t_0 (sqrt 2.0)) (* t_3 (fma (sin x) -0.0625 (sin y))) 2.0)
(fma 1.5 (fma (cos y) t_4 t_2) 3.0))))))
double code(double x, double y) {
double t_0 = fma(sin(y), -0.0625, sin(x));
double t_1 = sqrt(5.0) - 1.0;
double t_2 = t_1 * cos(x);
double t_3 = 1.0 - cos(y);
double t_4 = 3.0 - sqrt(5.0);
double tmp;
if (y <= -0.00265) {
tmp = fma(t_0, ((t_3 * sin(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), t_2), 3.0);
} else if (y <= 5.2e-12) {
tmp = fma((cos(x) - 1.0), (fma((1.00390625 * sin(x)), y, (pow(sin(x), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_1, cos(x), (t_4 * cos(y))), 3.0);
} else {
tmp = fma((t_0 * sqrt(2.0)), (t_3 * fma(sin(x), -0.0625, sin(y))), 2.0) / fma(1.5, fma(cos(y), t_4, t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(sin(y), -0.0625, sin(x)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(t_1 * cos(x)) t_3 = Float64(1.0 - cos(y)) t_4 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (y <= -0.00265) tmp = Float64(fma(t_0, Float64(Float64(t_3 * sin(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), t_2), 3.0)); elseif (y <= 5.2e-12) tmp = Float64(fma(Float64(cos(x) - 1.0), Float64(fma(Float64(1.00390625 * sin(x)), y, Float64((sin(x) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_1, cos(x), Float64(t_4 * cos(y))), 3.0)); else tmp = Float64(fma(Float64(t_0 * sqrt(2.0)), Float64(t_3 * fma(sin(x), -0.0625, sin(y))), 2.0) / fma(1.5, fma(cos(y), t_4, t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.00265], N[(N[(t$95$0 * N[(N[(t$95$3 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5.2e-12], N[(N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[x], $MachinePrecision]), $MachinePrecision] * y + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + N[(t$95$4 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$0 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$4 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_1 := \sqrt{5} - 1\\
t_2 := t\_1 \cdot \cos x\\
t_3 := 1 - \cos y\\
t_4 := 3 - \sqrt{5}\\
\mathbf{if}\;y \leq -0.00265:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, \left(t\_3 \cdot \sin y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 5.2 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - 1, \mathsf{fma}\left(1.00390625 \cdot \sin x, y, {\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos x, t\_4 \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0 \cdot \sqrt{2}, t\_3 \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_4, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.00265000000000000001Initial program 99.2%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.2%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sin.f6460.9
Applied rewrites60.9%
if -0.00265000000000000001 < y < 5.19999999999999965e-12Initial program 99.5%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Applied rewrites99.5%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.5%
if 5.19999999999999965e-12 < y Initial program 99.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6467.3
Applied rewrites67.3%
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 rewrites67.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites67.3%
Final simplification82.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(fma (sin y) -0.0625 (sin x))
(* (* (- 1.0 (cos y)) (sin y)) (sqrt 2.0))
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) (* t_0 (cos x)))
3.0))))
(if (<= y -0.00265)
t_1
(if (<= y 5.2e-12)
(/
(fma
(- (cos x) 1.0)
(*
(fma (* 1.00390625 (sin x)) y (* (pow (sin x) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma t_0 (cos x) (* (- 3.0 (sqrt 5.0)) (cos y))) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma(fma(sin(y), -0.0625, sin(x)), (((1.0 - cos(y)) * sin(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), (t_0 * cos(x))), 3.0);
double tmp;
if (y <= -0.00265) {
tmp = t_1;
} else if (y <= 5.2e-12) {
tmp = fma((cos(x) - 1.0), (fma((1.00390625 * sin(x)), y, (pow(sin(x), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), ((3.0 - sqrt(5.0)) * cos(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(fma(sin(y), -0.0625, sin(x)), Float64(Float64(Float64(1.0 - cos(y)) * sin(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), Float64(t_0 * cos(x))), 3.0)) tmp = 0.0 if (y <= -0.00265) tmp = t_1; elseif (y <= 5.2e-12) tmp = Float64(fma(Float64(cos(x) - 1.0), Float64(fma(Float64(1.00390625 * sin(x)), y, Float64((sin(x) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), Float64(Float64(3.0 - sqrt(5.0)) * cos(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[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.00265], t$95$1, If[LessEqual[y, 5.2e-12], N[(N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[x], $MachinePrecision]), $MachinePrecision] * y + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right), \left(\left(1 - \cos y\right) \cdot \sin y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_0 \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;y \leq -0.00265:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 5.2 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - 1, \mathsf{fma}\left(1.00390625 \cdot \sin x, y, {\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.00265000000000000001 or 5.19999999999999965e-12 < y Initial program 99.1%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.4%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sin.f6464.1
Applied rewrites64.1%
if -0.00265000000000000001 < y < 5.19999999999999965e-12Initial program 99.5%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Applied rewrites99.5%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.5%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (* (pow (sin y) 2.0) -0.0625))
(t_2 (- (sqrt 5.0) 1.0))
(t_3 (* t_2 (cos x))))
(if (<= y -0.00265)
(/
(+ (* (* t_1 (sqrt 2.0)) (- (cos x) (cos y))) 2.0)
(fma 1.5 (fma (cos y) t_0 t_3) 3.0))
(if (<= y 5.2e-12)
(/
(fma
(- (cos x) 1.0)
(*
(fma (* 1.00390625 (sin x)) y (* (pow (sin x) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma t_2 (cos x) (* t_0 (cos y))) 3.0))
(/
(fma t_1 (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) t_3) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(y), 2.0) * -0.0625;
double t_2 = sqrt(5.0) - 1.0;
double t_3 = t_2 * cos(x);
double tmp;
if (y <= -0.00265) {
tmp = (((t_1 * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0);
} else if (y <= 5.2e-12) {
tmp = fma((cos(x) - 1.0), (fma((1.00390625 * sin(x)), y, (pow(sin(x), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_2, cos(x), (t_0 * cos(y))), 3.0);
} else {
tmp = fma(t_1, ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), t_3), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64((sin(y) ^ 2.0) * -0.0625) t_2 = Float64(sqrt(5.0) - 1.0) t_3 = Float64(t_2 * cos(x)) tmp = 0.0 if (y <= -0.00265) tmp = Float64(Float64(Float64(Float64(t_1 * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0)); elseif (y <= 5.2e-12) tmp = Float64(fma(Float64(cos(x) - 1.0), Float64(fma(Float64(1.00390625 * sin(x)), y, Float64((sin(x) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_2, cos(x), Float64(t_0 * cos(y))), 3.0)); else tmp = Float64(fma(t_1, Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), t_3), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.00265], N[(N[(N[(N[(t$95$1 * 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[Cos[y], $MachinePrecision] * t$95$0 + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5.2e-12], N[(N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[x], $MachinePrecision]), $MachinePrecision] * y + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * 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] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin y}^{2} \cdot -0.0625\\
t_2 := \sqrt{5} - 1\\
t_3 := t\_2 \cdot \cos x\\
\mathbf{if}\;y \leq -0.00265:\\
\;\;\;\;\frac{\left(t\_1 \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_3\right), 3\right)}\\
\mathbf{elif}\;y \leq 5.2 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - 1, \mathsf{fma}\left(1.00390625 \cdot \sin x, y, {\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos x, t\_0 \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_3\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.00265000000000000001Initial program 99.2%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6460.7
Applied rewrites60.7%
if -0.00265000000000000001 < y < 5.19999999999999965e-12Initial program 99.5%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Applied rewrites99.5%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.5%
if 5.19999999999999965e-12 < y Initial program 99.1%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Applied rewrites99.4%
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.f6466.9
Applied rewrites66.9%
Final simplification82.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (pow (sin x) 2.0))
(t_3 (* t_1 (cos x))))
(if (<= x -0.001)
(/
(+ (* (* (* t_2 -0.0625) (sqrt 2.0)) (- (cos x) (cos y))) 2.0)
(fma 1.5 (fma (cos y) t_0 t_3) 3.0))
(if (<= x 0.00011)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma t_1 (cos x) (* t_0 (cos y))) 3.0))
(/
(fma (* (fma (cos x) -0.0625 0.0625) t_2) (sqrt 2.0) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) t_3) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = pow(sin(x), 2.0);
double t_3 = t_1 * cos(x);
double tmp;
if (x <= -0.001) {
tmp = ((((t_2 * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0);
} else if (x <= 0.00011) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_1, cos(x), (t_0 * cos(y))), 3.0);
} else {
tmp = fma((fma(cos(x), -0.0625, 0.0625) * t_2), sqrt(2.0), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), t_3), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = sin(x) ^ 2.0 t_3 = Float64(t_1 * cos(x)) tmp = 0.0 if (x <= -0.001) tmp = Float64(Float64(Float64(Float64(Float64(t_2 * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0)); elseif (x <= 0.00011) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_1, cos(x), Float64(t_0 * cos(y))), 3.0)); else tmp = Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * t_2), sqrt(2.0), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), t_3), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.001], N[(N[(N[(N[(N[(t$95$2 * -0.0625), $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[Cos[y], $MachinePrecision] * t$95$0 + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00011], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * t$95$2), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} - 1\\
t_2 := {\sin x}^{2}\\
t_3 := t\_1 \cdot \cos x\\
\mathbf{if}\;x \leq -0.001:\\
\;\;\;\;\frac{\left(\left(t\_2 \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_3\right), 3\right)}\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos x, t\_0 \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot t\_2, \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_3\right), 3\right)}\\
\end{array}
\end{array}
if x < -1e-3Initial program 98.8%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6467.9
Applied rewrites67.9%
if -1e-3 < x < 1.10000000000000004e-4Initial program 99.6%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
if 1.10000000000000004e-4 < x Initial program 99.1%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Applied rewrites99.4%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites58.0%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (pow (sin x) 2.0))
(t_3 (* t_1 (cos x))))
(if (<= x -4.1e-5)
(/
(+ (* (* (* t_2 -0.0625) (sqrt 2.0)) (- (cos x) (cos y))) 2.0)
(fma 1.5 (fma (cos y) t_0 t_3) 3.0))
(if (<= x 1.65e-5)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma (cos y) t_0 t_1) 3.0))
(/
(fma (* (fma (cos x) -0.0625 0.0625) t_2) (sqrt 2.0) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) t_3) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = pow(sin(x), 2.0);
double t_3 = t_1 * cos(x);
double tmp;
if (x <= -4.1e-5) {
tmp = ((((t_2 * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0);
} else if (x <= 1.65e-5) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0);
} else {
tmp = fma((fma(cos(x), -0.0625, 0.0625) * t_2), sqrt(2.0), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), t_3), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = sin(x) ^ 2.0 t_3 = Float64(t_1 * cos(x)) tmp = 0.0 if (x <= -4.1e-5) tmp = Float64(Float64(Float64(Float64(Float64(t_2 * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0)); elseif (x <= 1.65e-5) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0)); else tmp = Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * t_2), sqrt(2.0), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), t_3), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -4.1e-5], N[(N[(N[(N[(N[(t$95$2 * -0.0625), $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[Cos[y], $MachinePrecision] * t$95$0 + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-5], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $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], N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * t$95$2), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} - 1\\
t_2 := {\sin x}^{2}\\
t_3 := t\_1 \cdot \cos x\\
\mathbf{if}\;x \leq -4.1 \cdot 10^{-5}:\\
\;\;\;\;\frac{\left(\left(t\_2 \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_3\right), 3\right)}\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\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}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot t\_2, \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_3\right), 3\right)}\\
\end{array}
\end{array}
if x < -4.10000000000000005e-5Initial program 98.8%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6467.9
Applied rewrites67.9%
if -4.10000000000000005e-5 < x < 1.6500000000000001e-5Initial 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 rewrites64.4%
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.f6464.4
Applied rewrites64.4%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
if 1.6500000000000001e-5 < x Initial program 99.1%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Applied rewrites99.4%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites58.0%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (pow (sin x) 2.0))
(sqrt 2.0)
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ (sqrt 5.0) 3.0)) (* t_0 (cos x)))
3.0))))
(if (<= x -4.1e-5)
t_1
(if (<= x 1.65e-5)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_0) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((fma(cos(x), -0.0625, 0.0625) * pow(sin(x), 2.0)), sqrt(2.0), 2.0) / fma(1.5, fma(cos(y), (4.0 / (sqrt(5.0) + 3.0)), (t_0 * cos(x))), 3.0);
double tmp;
if (x <= -4.1e-5) {
tmp = t_1;
} else if (x <= 1.65e-5) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_0), 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(fma(cos(x), -0.0625, 0.0625) * (sin(x) ^ 2.0)), sqrt(2.0), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(sqrt(5.0) + 3.0)), Float64(t_0 * cos(x))), 3.0)) tmp = 0.0 if (x <= -4.1e-5) tmp = t_1; elseif (x <= 1.65e-5) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_0), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = 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[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -4.1e-5], t$95$1, If[LessEqual[x, 1.65e-5], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \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(1.5, \mathsf{fma}\left(\cos y, \frac{4}{\sqrt{5} + 3}, t\_0 \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;x \leq -4.1 \cdot 10^{-5}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -4.10000000000000005e-5 or 1.6500000000000001e-5 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites63.0%
if -4.10000000000000005e-5 < x < 1.6500000000000001e-5Initial 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 rewrites64.4%
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.f6464.4
Applied rewrites64.4%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
Final simplification81.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(+
(*
(fma (* 0.5 (cos y)) t_0 (* (fma 0.5 (sqrt 5.0) -0.5) (cos x)))
3.0)
3.0))))
(if (<= x -4.1e-5)
t_1
(if (<= x 1.65e-5)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma (cos y) t_0 (- (sqrt 5.0) 1.0)) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / ((fma((0.5 * cos(y)), t_0, (fma(0.5, sqrt(5.0), -0.5) * cos(x))) * 3.0) + 3.0);
double tmp;
if (x <= -4.1e-5) {
tmp = t_1;
} else if (x <= 1.65e-5) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, (sqrt(5.0) - 1.0)), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / Float64(Float64(fma(Float64(0.5 * cos(y)), t_0, Float64(fma(0.5, sqrt(5.0), -0.5) * cos(x))) * 3.0) + 3.0)) tmp = 0.0 if (x <= -4.1e-5) tmp = t_1; elseif (x <= 1.65e-5) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(sqrt(5.0) - 1.0)), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(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[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -4.1e-5], t$95$1, If[LessEqual[x, 1.65e-5], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \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(0.5 \cdot \cos y, t\_0, \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right) \cdot \cos x\right) \cdot 3 + 3}\\
\mathbf{if}\;x \leq -4.1 \cdot 10^{-5}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \sqrt{5} - 1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -4.10000000000000005e-5 or 1.6500000000000001e-5 < x Initial 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 rewrites62.9%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites63.0%
if -4.10000000000000005e-5 < x < 1.6500000000000001e-5Initial 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 rewrites64.4%
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.f6464.4
Applied rewrites64.4%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
Final simplification81.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (pow (sin x) 2.0))
(t_2 (- (sqrt 5.0) 1.0)))
(if (<= x -4.1e-5)
(/
(fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) t_1 2.0)
(*
(fma (* t_0 (cos y)) 0.5 (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0))
(if (<= x 1.65e-5)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(fma 1.5 (fma (cos y) t_0 t_2) 3.0))
(/
(fma (* (fma (cos x) -0.0625 0.0625) (sqrt 2.0)) t_1 2.0)
(fma 1.5 (fma (cos y) t_0 (* t_2 (cos x))) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(5.0) - 1.0;
double tmp;
if (x <= -4.1e-5) {
tmp = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), t_1, 2.0) / (fma((t_0 * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
} else if (x <= 1.65e-5) {
tmp = fma((1.0 - cos(y)), (fma((1.00390625 * sin(y)), x, (pow(sin(y), 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, t_2), 3.0);
} else {
tmp = fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), t_1, 2.0) / fma(1.5, fma(cos(y), t_0, (t_2 * cos(x))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if (x <= -4.1e-5) tmp = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), t_1, 2.0) / Float64(fma(Float64(t_0 * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)); elseif (x <= 1.65e-5) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(fma(Float64(1.00390625 * sin(y)), x, Float64((sin(y) ^ 2.0) * -0.0625)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_0, t_2), 3.0)); else tmp = Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), t_1, 2.0) / fma(1.5, fma(cos(y), t_0, Float64(t_2 * cos(x))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[LessEqual[x, -4.1e-5], N[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(N[(N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 0.5 + N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-5], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * x + N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$1 + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(t$95$2 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin x}^{2}\\
t_2 := \sqrt{5} - 1\\
\mathbf{if}\;x \leq -4.1 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, t\_1, 2\right)}{\mathsf{fma}\left(t\_0 \cdot \cos y, 0.5, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(1.00390625 \cdot \sin y, x, {\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_2\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, t\_1, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_2 \cdot \cos x\right), 3\right)}\\
\end{array}
\end{array}
if x < -4.10000000000000005e-5Initial program 98.8%
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 rewrites67.7%
Applied rewrites67.8%
if -4.10000000000000005e-5 < x < 1.6500000000000001e-5Initial 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 rewrites64.4%
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.f6464.4
Applied rewrites64.4%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.6%
if 1.6500000000000001e-5 < x Initial program 99.1%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
Applied rewrites57.9%
Final simplification81.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (fma 1.5 (fma (cos y) t_0 (* (- (sqrt 5.0) 1.0) (cos x))) 3.0))
(t_2 (pow (sin x) 2.0)))
(if (<= x -0.0007)
(/
(fma (* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0)) t_2 2.0)
(*
(fma (* t_0 (cos y)) 0.5 (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0))
(if (<= x 0.00011)
(/
(+
(* (* (- 1.0 (cos y)) (sqrt 2.0)) (* (pow (sin y) 2.0) -0.0625))
2.0)
t_1)
(/ (fma (* (fma (cos x) -0.0625 0.0625) (sqrt 2.0)) t_2 2.0) t_1)))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma(1.5, fma(cos(y), t_0, ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
double t_2 = pow(sin(x), 2.0);
double tmp;
if (x <= -0.0007) {
tmp = fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), t_2, 2.0) / (fma((t_0 * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
} else if (x <= 0.00011) {
tmp = ((((1.0 - cos(y)) * sqrt(2.0)) * (pow(sin(y), 2.0) * -0.0625)) + 2.0) / t_1;
} else {
tmp = fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), t_2, 2.0) / t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = fma(1.5, fma(cos(y), t_0, Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0) t_2 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -0.0007) tmp = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), t_2, 2.0) / Float64(fma(Float64(t_0 * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)); elseif (x <= 0.00011) tmp = Float64(Float64(Float64(Float64(Float64(1.0 - cos(y)) * sqrt(2.0)) * Float64((sin(y) ^ 2.0) * -0.0625)) + 2.0) / t_1); else tmp = Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), t_2, 2.0) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -0.0007], N[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$2 + 2.0), $MachinePrecision] / N[(N[(N[(t$95$0 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 0.5 + N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00011], N[(N[(N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$2 + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)\\
t_2 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -0.0007:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot \sqrt{2}, t\_2, 2\right)}{\mathsf{fma}\left(t\_0 \cdot \cos y, 0.5, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\left(\left(1 - \cos y\right) \cdot \sqrt{2}\right) \cdot \left({\sin y}^{2} \cdot -0.0625\right) + 2}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, t\_2, 2\right)}{t\_1}\\
\end{array}
\end{array}
if x < -6.99999999999999993e-4Initial program 98.8%
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 rewrites67.7%
Applied rewrites67.8%
if -6.99999999999999993e-4 < x < 1.10000000000000004e-4Initial program 99.6%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/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.f6499.3
Applied rewrites99.3%
if 1.10000000000000004e-4 < x Initial program 99.1%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
Applied rewrites57.9%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (- (sqrt 5.0) 1.0) (cos x)))
3.0))
(t_1
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
t_0)))
(if (<= x -0.0007)
t_1
(if (<= x 0.00011)
(/
(+
(* (* (- 1.0 (cos y)) (sqrt 2.0)) (* (pow (sin y) 2.0) -0.0625))
2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
double t_1 = fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / t_0;
double tmp;
if (x <= -0.0007) {
tmp = t_1;
} else if (x <= 0.00011) {
tmp = ((((1.0 - cos(y)) * sqrt(2.0)) * (pow(sin(y), 2.0) * -0.0625)) + 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0) t_1 = Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / t_0) tmp = 0.0 if (x <= -0.0007) tmp = t_1; elseif (x <= 0.00011) tmp = Float64(Float64(Float64(Float64(Float64(1.0 - cos(y)) * sqrt(2.0)) * Float64((sin(y) ^ 2.0) * -0.0625)) + 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * 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] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.0007], t$95$1, If[LessEqual[x, 0.00011], N[(N[(N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)\\
t_1 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.0007:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.00011:\\
\;\;\;\;\frac{\left(\left(1 - \cos y\right) \cdot \sqrt{2}\right) \cdot \left({\sin y}^{2} \cdot -0.0625\right) + 2}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -6.99999999999999993e-4 or 1.10000000000000004e-4 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
Applied rewrites62.9%
if -6.99999999999999993e-4 < x < 1.10000000000000004e-4Initial program 99.6%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/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.f6499.3
Applied rewrites99.3%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 1.5 (fma (cos y) t_1 (* t_0 (cos x))) 3.0))))
(if (<= x -7.4e-7)
t_2
(if (<= x 6.1e-6)
(/
(fma (* (fma (cos y) 0.0625 -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (cos y) t_1 t_0) 1.5 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(cos(x), -0.0625, 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(1.5, fma(cos(y), t_1, (t_0 * cos(x))), 3.0);
double tmp;
if (x <= -7.4e-7) {
tmp = t_2;
} else if (x <= 6.1e-6) {
tmp = fma((fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma(cos(y), t_1, t_0), 1.5, 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(cos(x), -0.0625, 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(1.5, fma(cos(y), t_1, Float64(t_0 * cos(x))), 3.0)) tmp = 0.0 if (x <= -7.4e-7) tmp = t_2; elseif (x <= 6.1e-6) tmp = Float64(fma(Float64(fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(cos(y), t_1, t_0), 1.5, 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[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -7.4e-7], t$95$2, If[LessEqual[x, 6.1e-6], N[(N[(N[(N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] * 1.5 + 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(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_0 \cdot \cos x\right), 3\right)}\\
\mathbf{if}\;x \leq -7.4 \cdot 10^{-7}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 6.1 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, 0.0625, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, t\_1, t\_0\right), 1.5, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -7.40000000000000009e-7 or 6.10000000000000004e-6 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
Applied rewrites62.9%
if -7.40000000000000009e-7 < x < 6.10000000000000004e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x 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
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (pow (sin x) 2.0))
(sqrt 2.0)
2.0)
(fma 1.5 (fma t_0 (cos x) (* t_1 (cos y))) 3.0))))
(if (<= x -7.4e-7)
t_2
(if (<= x 6.1e-6)
(/
(fma (* (fma (cos y) 0.0625 -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (cos y) t_1 t_0) 1.5 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(cos(x), -0.0625, 0.0625) * pow(sin(x), 2.0)), sqrt(2.0), 2.0) / fma(1.5, fma(t_0, cos(x), (t_1 * cos(y))), 3.0);
double tmp;
if (x <= -7.4e-7) {
tmp = t_2;
} else if (x <= 6.1e-6) {
tmp = fma((fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma(cos(y), t_1, t_0), 1.5, 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(cos(x), -0.0625, 0.0625) * (sin(x) ^ 2.0)), sqrt(2.0), 2.0) / fma(1.5, fma(t_0, cos(x), Float64(t_1 * cos(y))), 3.0)) tmp = 0.0 if (x <= -7.4e-7) tmp = t_2; elseif (x <= 6.1e-6) tmp = Float64(fma(Float64(fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(cos(y), t_1, t_0), 1.5, 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[(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[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -7.4e-7], t$95$2, If[LessEqual[x, 6.1e-6], N[(N[(N[(N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] * 1.5 + 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(\cos x, -0.0625, 0.0625\right) \cdot {\sin x}^{2}, \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_1 \cdot \cos y\right), 3\right)}\\
\mathbf{if}\;x \leq -7.4 \cdot 10^{-7}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 6.1 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, 0.0625, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, t\_1, t\_0\right), 1.5, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -7.40000000000000009e-7 or 6.10000000000000004e-6 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites62.9%
if -7.40000000000000009e-7 < x < 6.10000000000000004e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x 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
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(*
0.3333333333333333
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 0.5 (fma t_1 (cos x) t_0) 1.0)))))
(if (<= x -2.15e-5)
t_2
(if (<= x 6.1e-6)
(/
(fma (* (fma (cos y) 0.0625 -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (cos y) t_0 t_1) 1.5 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 = 0.3333333333333333 * (fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(0.5, fma(t_1, cos(x), t_0), 1.0));
double tmp;
if (x <= -2.15e-5) {
tmp = t_2;
} else if (x <= 6.1e-6) {
tmp = fma((fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma(cos(y), t_0, t_1), 1.5, 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(0.3333333333333333 * Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(t_1, cos(x), t_0), 1.0))) tmp = 0.0 if (x <= -2.15e-5) tmp = t_2; elseif (x <= 6.1e-6) tmp = Float64(fma(Float64(fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(cos(y), t_0, t_1), 1.5, 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[(0.3333333333333333 * N[(N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2.15e-5], t$95$2, If[LessEqual[x, 6.1e-6], N[(N[(N[(N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] * 1.5 + 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 := 0.3333333333333333 \cdot \frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos x, t\_0\right), 1\right)}\\
\mathbf{if}\;x \leq -2.15 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 6.1 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, 0.0625, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, t\_0, t\_1\right), 1.5, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -2.1500000000000001e-5 or 6.10000000000000004e-6 < x Initial program 99.0%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
Applied rewrites61.9%
if -2.1500000000000001e-5 < x < 6.10000000000000004e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x 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
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Final simplification81.2%
(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 -2.15e-5)
t_2
(if (<= x 6.1e-6)
(/
(fma (* (fma (cos y) 0.0625 -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(fma (fma (cos y) t_1 t_0) 1.5 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 <= -2.15e-5) {
tmp = t_2;
} else if (x <= 6.1e-6) {
tmp = fma((fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / fma(fma(cos(y), t_1, t_0), 1.5, 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 <= -2.15e-5) tmp = t_2; elseif (x <= 6.1e-6) tmp = Float64(fma(Float64(fma(cos(y), 0.0625, -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / fma(fma(cos(y), t_1, t_0), 1.5, 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, -2.15e-5], t$95$2, If[LessEqual[x, 6.1e-6], N[(N[(N[(N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] * 1.5 + 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 -2.15 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 6.1 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, 0.0625, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos y, t\_1, t\_0\right), 1.5, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -2.1500000000000001e-5 or 6.10000000000000004e-6 < x Initial 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 rewrites62.9%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites61.8%
if -2.1500000000000001e-5 < x < 6.10000000000000004e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x 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
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
(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 99.3%
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 rewrites63.7%
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 rewrites61.5%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (* (- (sqrt 5.0) 1.0) (cos x))) 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) * cos(x))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 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[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
Initial program 99.3%
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 rewrites63.7%
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.f6443.7
Applied rewrites43.7%
Taylor expanded in x around 0
Applied rewrites43.6%
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 rewrites46.6%
(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 99.3%
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 rewrites63.7%
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.f6443.7
Applied rewrites43.7%
Taylor expanded in x around 0
Applied rewrites43.6%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
sub-negN/A
associate-+r+N/A
+-commutativeN/A
sub-negN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites44.4%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (- (sqrt 5.0) 1.0)) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (sqrt(5.0) - 1.0)), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(sqrt(5.0) - 1.0)), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5} - 1\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites63.7%
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.f6443.7
Applied rewrites43.7%
Taylor expanded in x around 0
Applied rewrites43.6%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.3%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites57.8%
Taylor expanded in x around 0
Applied rewrites41.8%
herbie shell --seed 2024243
(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))))))