
(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 33 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
(let* ((t_0 (fma 0.5 (sqrt 5.0) -0.5))
(t_1 (- 1.0 (* (fma (sqrt 5.0) 0.5 -0.5) (cos x)))))
(/
(+
(*
(- (cos x) (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(/
(fma
(* (* (- 3.0 (sqrt 5.0)) (cos y)) 3.0)
t_1
(* (* (- 1.0 (* (* (* t_0 (cos x)) (cos x)) t_0)) 3.0) 2.0))
(* t_1 2.0)))))
double code(double x, double y) {
double t_0 = fma(0.5, sqrt(5.0), -0.5);
double t_1 = 1.0 - (fma(sqrt(5.0), 0.5, -0.5) * cos(x));
return (((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / (fma((((3.0 - sqrt(5.0)) * cos(y)) * 3.0), t_1, (((1.0 - (((t_0 * cos(x)) * cos(x)) * t_0)) * 3.0) * 2.0)) / (t_1 * 2.0));
}
function code(x, y) t_0 = fma(0.5, sqrt(5.0), -0.5) t_1 = Float64(1.0 - Float64(fma(sqrt(5.0), 0.5, -0.5) * cos(x))) 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) / Float64(fma(Float64(Float64(Float64(3.0 - sqrt(5.0)) * cos(y)) * 3.0), t_1, Float64(Float64(Float64(1.0 - Float64(Float64(Float64(t_0 * cos(x)) * cos(x)) * t_0)) * 3.0) * 2.0)) / Float64(t_1 * 2.0))) end
code[x_, y_] := Block[{t$95$0 = N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, 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[(N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * t$95$1 + N[(N[(N[(1.0 - N[(N[(N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\\
t_1 := 1 - \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right) \cdot \cos x\\
\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}{\frac{\mathsf{fma}\left(\left(\left(3 - \sqrt{5}\right) \cdot \cos y\right) \cdot 3, t\_1, \left(\left(1 - \left(\left(t\_0 \cdot \cos x\right) \cdot \cos x\right) \cdot t\_0\right) \cdot 3\right) \cdot 2\right)}{t\_1 \cdot 2}}
\end{array}
\end{array}
Initial program 99.2%
Applied rewrites99.3%
lift-pow.f64N/A
unpow2N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f6499.4
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.4
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6499.4
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma 0.5 (sqrt 5.0) -0.5))
(t_1 (- 1.0 (* (fma (sqrt 5.0) 0.5 -0.5) (cos x)))))
(/
(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
(* (* (- 3.0 (sqrt 5.0)) (cos y)) 3.0)
t_1
(* (* (- 1.0 (* (* (* t_0 (cos x)) (cos x)) t_0)) 3.0) 2.0))
(* t_1 2.0)))))
double code(double x, double y) {
double t_0 = fma(0.5, sqrt(5.0), -0.5);
double t_1 = 1.0 - (fma(sqrt(5.0), 0.5, -0.5) * cos(x));
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((((3.0 - sqrt(5.0)) * cos(y)) * 3.0), t_1, (((1.0 - (((t_0 * cos(x)) * cos(x)) * t_0)) * 3.0) * 2.0)) / (t_1 * 2.0));
}
function code(x, y) t_0 = fma(0.5, sqrt(5.0), -0.5) t_1 = Float64(1.0 - Float64(fma(sqrt(5.0), 0.5, -0.5) * cos(x))) 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) / Float64(fma(Float64(Float64(Float64(3.0 - sqrt(5.0)) * cos(y)) * 3.0), t_1, Float64(Float64(Float64(1.0 - Float64(Float64(Float64(t_0 * cos(x)) * cos(x)) * t_0)) * 3.0) * 2.0)) / Float64(t_1 * 2.0))) end
code[x_, y_] := Block[{t$95$0 = N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, 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[(N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * t$95$1 + N[(N[(N[(1.0 - N[(N[(N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\\
t_1 := 1 - \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right) \cdot \cos x\\
\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)}{\frac{\mathsf{fma}\left(\left(\left(3 - \sqrt{5}\right) \cdot \cos y\right) \cdot 3, t\_1, \left(\left(1 - \left(\left(t\_0 \cdot \cos x\right) \cdot \cos x\right) \cdot t\_0\right) \cdot 3\right) \cdot 2\right)}{t\_1 \cdot 2}}
\end{array}
\end{array}
Initial program 99.2%
Applied rewrites99.3%
lift-pow.f64N/A
unpow2N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f6499.4
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.4
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6499.4
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 rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (fma (sqrt 5.0) 0.5 -0.5) (cos x))) (t_1 (- 1.0 t_0)))
(/
(+
(*
(- (cos x) (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(/
(fma
(* (* (- 3.0 (sqrt 5.0)) (cos y)) 3.0)
t_1
(* (* (- 1.0 (pow t_0 2.0)) 3.0) 2.0))
(* t_1 2.0)))))
double code(double x, double y) {
double t_0 = fma(sqrt(5.0), 0.5, -0.5) * cos(x);
double t_1 = 1.0 - t_0;
return (((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / (fma((((3.0 - sqrt(5.0)) * cos(y)) * 3.0), t_1, (((1.0 - pow(t_0, 2.0)) * 3.0) * 2.0)) / (t_1 * 2.0));
}
function code(x, y) t_0 = Float64(fma(sqrt(5.0), 0.5, -0.5) * cos(x)) t_1 = Float64(1.0 - t_0) 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) / Float64(fma(Float64(Float64(Float64(3.0 - sqrt(5.0)) * cos(y)) * 3.0), t_1, Float64(Float64(Float64(1.0 - (t_0 ^ 2.0)) * 3.0) * 2.0)) / Float64(t_1 * 2.0))) end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - t$95$0), $MachinePrecision]}, 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[(N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * t$95$1 + N[(N[(N[(1.0 - N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right) \cdot \cos x\\
t_1 := 1 - t\_0\\
\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}{\frac{\mathsf{fma}\left(\left(\left(3 - \sqrt{5}\right) \cdot \cos y\right) \cdot 3, t\_1, \left(\left(1 - {t\_0}^{2}\right) \cdot 3\right) \cdot 2\right)}{t\_1 \cdot 2}}
\end{array}
\end{array}
Initial program 99.2%
Applied rewrites99.3%
Final simplification99.3%
(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 x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
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(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 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(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[(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[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\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 x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}
\end{array}
Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(/
(fma
(* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0))
(fma -0.0625 (sin y) (sin x))
2.0)
(fma
(* 0.5 (cos y))
(- 3.0 (sqrt 5.0))
(fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0)))
3.0))
double code(double x, double y) {
return (fma(((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), fma(-0.0625, sin(y), sin(x)), 2.0) / fma((0.5 * cos(y)), (3.0 - sqrt(5.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0))) / 3.0;
}
function code(x, y) return Float64(Float64(fma(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), fma(-0.0625, sin(y), sin(x)), 2.0) / fma(Float64(0.5 * cos(y)), Float64(3.0 - sqrt(5.0)), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0))) / 3.0) end
code[x_, y_] := N[(N[(N[(N[(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] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 3.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\mathsf{fma}\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, \mathsf{fma}\left(-0.0625, \sin y, \sin x\right), 2\right)}{\mathsf{fma}\left(0.5 \cdot \cos y, 3 - \sqrt{5}, \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right)}}{3}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.2%
Applied rewrites99.3%
(FPCore (x y)
:precision binary64
(/
(+
(*
(*
(* (fma (sin x) -0.0625 (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
(- (cos x) (cos y)))
2.0)
(*
(fma
(* (- 3.0 (sqrt 5.0)) (cos y))
0.5
(fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0)))
double code(double x, double y) {
return ((((fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * (cos(x) - cos(y))) + 2.0) / (fma(((3.0 - sqrt(5.0)) * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
}
function code(x, y) return Float64(Float64(Float64(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * Float64(cos(x) - cos(y))) + 2.0) / Float64(fma(Float64(Float64(3.0 - sqrt(5.0)) * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * 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]
\begin{array}{l}
\\
\frac{\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(\left(3 - \sqrt{5}\right) \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}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
(*
(*
(* (fma (sin x) -0.0625 (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
(- (cos x) (cos y)))
2.0)
(*
(fma
0.5
(fma (- 3.0 (sqrt 5.0)) (cos y) (* (- (sqrt 5.0) 1.0) (cos x)))
1.0)
3.0)))
double code(double x, double y) {
return ((((fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * (cos(x) - cos(y))) + 2.0) / (fma(0.5, fma((3.0 - sqrt(5.0)), cos(y), ((sqrt(5.0) - 1.0) * cos(x))), 1.0) * 3.0);
}
function code(x, y) return Float64(Float64(Float64(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * Float64(cos(x) - cos(y))) + 2.0) / Float64(fma(0.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 1.0) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 1\right) \cdot 3}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6499.3
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(fma
(*
(* (fma -0.0625 (sin x) (sin y)) (- (cos x) (cos y)))
(fma -0.0625 (sin y) (sin x)))
(sqrt 2.0)
2.0)
(fma
0.5
(fma (- 3.0 (sqrt 5.0)) (cos y) (* (- (sqrt 5.0) 1.0) (cos x)))
1.0))))
double code(double x, double y) {
return 0.3333333333333333 * (fma(((fma(-0.0625, sin(x), sin(y)) * (cos(x) - cos(y))) * fma(-0.0625, sin(y), sin(x))), sqrt(2.0), 2.0) / fma(0.5, fma((3.0 - sqrt(5.0)), cos(y), ((sqrt(5.0) - 1.0) * cos(x))), 1.0));
}
function code(x, y) return Float64(0.3333333333333333 * Float64(fma(Float64(Float64(fma(-0.0625, sin(x), sin(y)) * Float64(cos(x) - cos(y))) * fma(-0.0625, sin(y), sin(x))), sqrt(2.0), 2.0) / fma(0.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 1.0))) end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(N[(N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{\mathsf{fma}\left(\left(\mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \sqrt{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 1\right)}
\end{array}
Initial program 99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.2%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.2%
Taylor expanded in x around inf
Applied rewrites99.2%
Final simplification99.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2
(/
(+ (* (* (* (sin x) (sqrt 2.0)) t_1) t_0) 2.0)
(*
(+
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))
(+ (* (/ 2.0 (+ 1.0 (sqrt 5.0))) (cos x)) 1.0))
3.0))))
(if (<= x -0.025)
t_2
(if (<= x 2e-5)
(/
(+ (* t_0 (* t_1 (* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0)))) 2.0)
(*
(+
(fma
(- (sqrt 5.0) 1.0)
(fma (* -0.25 x) x 0.5)
(* (fma -0.5 (sqrt 5.0) 1.5) (cos y)))
1.0)
3.0))
t_2))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = ((((sin(x) * sqrt(2.0)) * t_1) * t_0) + 2.0) / (((((3.0 - sqrt(5.0)) / 2.0) * cos(y)) + (((2.0 / (1.0 + sqrt(5.0))) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (x <= -0.025) {
tmp = t_2;
} else if (x <= 2e-5) {
tmp = ((t_0 * (t_1 * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / ((fma((sqrt(5.0) - 1.0), fma((-0.25 * x), x, 0.5), (fma(-0.5, sqrt(5.0), 1.5) * cos(y))) + 1.0) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = Float64(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * t_1) * t_0) + 2.0) / Float64(Float64(Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y)) + Float64(Float64(Float64(2.0 / Float64(1.0 + sqrt(5.0))) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (x <= -0.025) tmp = t_2; elseif (x <= 2e-5) tmp = Float64(Float64(Float64(t_0 * Float64(t_1 * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / Float64(Float64(fma(Float64(sqrt(5.0) - 1.0), fma(Float64(-0.25 * x), x, 0.5), Float64(fma(-0.5, sqrt(5.0), 1.5) * cos(y))) + 1.0) * 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$0), $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[(2.0 / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.025], t$95$2, If[LessEqual[x, 2e-5], N[(N[(N[(t$95$0 * N[(t$95$1 * 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[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[(N[(-0.25 * x), $MachinePrecision] * x + 0.5), $MachinePrecision] + N[(N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \frac{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot t\_1\right) \cdot t\_0 + 2}{\left(\frac{3 - \sqrt{5}}{2} \cdot \cos y + \left(\frac{2}{1 + \sqrt{5}} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.025:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\frac{t\_0 \cdot \left(t\_1 \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right)\right) + 2}{\left(\mathsf{fma}\left(\sqrt{5} - 1, \mathsf{fma}\left(-0.25 \cdot x, x, 0.5\right), \mathsf{fma}\left(-0.5, \sqrt{5}, 1.5\right) \cdot \cos y\right) + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.025000000000000001 or 2.00000000000000016e-5 < x Initial program 98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6464.1
Applied rewrites64.1%
lift-/.f64N/A
div-invN/A
lift--.f64N/A
flip--N/A
metadata-evalN/A
associate-*l/N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6464.2
Applied rewrites64.2%
if -0.025000000000000001 < x < 2.00000000000000016e-5Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.6%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(+
(* (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))) t_0)
2.0)
(*
(+
(* (/ t_1 2.0) (cos y))
(+ (* (/ 2.0 (+ 1.0 (sqrt 5.0))) (cos x)) 1.0))
3.0))))
(if (<= x -0.18)
t_2
(if (<= x 0.052)
(/
(+
(*
(*
(* (fma -0.0625 x (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
t_0)
2.0)
(*
(fma
(fma 0.5 (sqrt 5.0) -0.5)
(cos x)
(+ (* (* 0.5 (cos y)) t_1) 1.0))
3.0))
t_2))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = ((((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / ((((t_1 / 2.0) * cos(y)) + (((2.0 / (1.0 + sqrt(5.0))) * cos(x)) + 1.0)) * 3.0);
double tmp;
if (x <= -0.18) {
tmp = t_2;
} else if (x <= 0.052) {
tmp = ((((fma(-0.0625, x, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), (((0.5 * cos(y)) * t_1) + 1.0)) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(y)) + Float64(Float64(Float64(2.0 / Float64(1.0 + sqrt(5.0))) * cos(x)) + 1.0)) * 3.0)) tmp = 0.0 if (x <= -0.18) tmp = t_2; elseif (x <= 0.052) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, x, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), Float64(Float64(Float64(0.5 * cos(y)) * t_1) + 1.0)) * 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $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] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(2.0 / N[(1.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.18], t$95$2, If[LessEqual[x, 0.052], N[(N[(N[(N[(N[(N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\left(\frac{t\_1}{2} \cdot \cos y + \left(\frac{2}{1 + \sqrt{5}} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.18:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.052:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, x, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, \left(0.5 \cdot \cos y\right) \cdot t\_1 + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.17999999999999999 or 0.0519999999999999976 < x Initial program 98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.5
Applied rewrites63.5%
lift-/.f64N/A
div-invN/A
lift--.f64N/A
flip--N/A
metadata-evalN/A
associate-*l/N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6463.6
Applied rewrites63.6%
if -0.17999999999999999 < x < 0.0519999999999999976Initial program 99.6%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (* (sin x) (sqrt 2.0)))
(t_3 (- 3.0 (sqrt 5.0))))
(if (<= x -0.18)
(/
(fma t_0 (* t_2 (fma -0.0625 (sin x) (sin y))) 2.0)
(* (+ (+ (* (/ t_1 2.0) (cos x)) 1.0) (* (/ t_3 2.0) (cos y))) 3.0))
(if (<= x 2e-5)
(/
(+
(*
(*
(* (fma -0.0625 x (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
t_0)
2.0)
(*
(fma
(fma 0.5 (sqrt 5.0) -0.5)
(cos x)
(+ (* (* 0.5 (cos y)) t_3) 1.0))
3.0))
(/
(+ (* (* t_2 (- (sin y) (/ (sin x) 16.0))) t_0) 2.0)
(* (fma 0.5 (fma t_3 (cos y) (* t_1 (cos x))) 1.0) 3.0))))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = sin(x) * sqrt(2.0);
double t_3 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.18) {
tmp = fma(t_0, (t_2 * fma(-0.0625, sin(x), sin(y))), 2.0) / (((((t_1 / 2.0) * cos(x)) + 1.0) + ((t_3 / 2.0) * cos(y))) * 3.0);
} else if (x <= 2e-5) {
tmp = ((((fma(-0.0625, x, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), (((0.5 * cos(y)) * t_3) + 1.0)) * 3.0);
} else {
tmp = (((t_2 * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / (fma(0.5, fma(t_3, cos(y), (t_1 * cos(x))), 1.0) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(sin(x) * sqrt(2.0)) t_3 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.18) tmp = Float64(fma(t_0, Float64(t_2 * fma(-0.0625, sin(x), sin(y))), 2.0) / Float64(Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_3 / 2.0) * cos(y))) * 3.0)); elseif (x <= 2e-5) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, x, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), Float64(Float64(Float64(0.5 * cos(y)) * t_3) + 1.0)) * 3.0)); else tmp = Float64(Float64(Float64(Float64(t_2 * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_3, cos(y), Float64(t_1 * cos(x))), 1.0) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.18], N[(N[(t$95$0 * N[(t$95$2 * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$3 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 2e-5], N[(N[(N[(N[(N[(N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$2 * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$3 * N[Cos[y], $MachinePrecision] + N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := \sin x \cdot \sqrt{2}\\
t_3 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.18:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, t\_2 \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right), 2\right)}{\left(\left(\frac{t\_1}{2} \cdot \cos x + 1\right) + \frac{t\_3}{2} \cdot \cos y\right) \cdot 3}\\
\mathbf{elif}\;x \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, x, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, \left(0.5 \cdot \cos y\right) \cdot t\_3 + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t\_2 \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_3, \cos y, t\_1 \cdot \cos x\right), 1\right) \cdot 3}\\
\end{array}
\end{array}
if x < -0.17999999999999999Initial program 98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.1
Applied rewrites66.1%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6466.1
Applied rewrites66.1%
if -0.17999999999999999 < x < 2.00000000000000016e-5Initial program 99.6%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 2.00000000000000016e-5 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6461.9
Applied rewrites61.9%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(+
(* (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))) t_0)
2.0)
(*
(fma 0.5 (fma t_1 (cos y) (* (- (sqrt 5.0) 1.0) (cos x))) 1.0)
3.0))))
(if (<= x -0.18)
t_2
(if (<= x 2e-5)
(/
(+
(*
(*
(* (fma -0.0625 x (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
t_0)
2.0)
(*
(fma
(fma 0.5 (sqrt 5.0) -0.5)
(cos x)
(+ (* (* 0.5 (cos y)) t_1) 1.0))
3.0))
t_2))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = ((((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / (fma(0.5, fma(t_1, cos(y), ((sqrt(5.0) - 1.0) * cos(x))), 1.0) * 3.0);
double tmp;
if (x <= -0.18) {
tmp = t_2;
} else if (x <= 2e-5) {
tmp = ((((fma(-0.0625, x, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), (((0.5 * cos(y)) * t_1) + 1.0)) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_1, cos(y), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 1.0) * 3.0)) tmp = 0.0 if (x <= -0.18) tmp = t_2; elseif (x <= 2e-5) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, x, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), Float64(Float64(Float64(0.5 * cos(y)) * t_1) + 1.0)) * 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $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] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.18], t$95$2, If[LessEqual[x, 2e-5], N[(N[(N[(N[(N[(N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos y, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 1\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.18:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, x, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, \left(0.5 \cdot \cos y\right) \cdot t\_1 + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.17999999999999999 or 2.00000000000000016e-5 < x Initial program 98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6464.1
Applied rewrites64.1%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6464.1
Applied rewrites64.1%
if -0.17999999999999999 < x < 2.00000000000000016e-5Initial program 99.6%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (- (sqrt 5.0) 1.0))
(t_3
(/
(+
(* (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))) t_0)
2.0)
(* (fma 0.5 (fma t_1 (cos y) (* t_2 (cos x))) 1.0) 3.0))))
(if (<= x -0.000145)
t_3
(if (<= x 1.4e-6)
(/
(+
(*
(*
(* (fma (sin x) -0.0625 (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
t_0)
2.0)
(* (fma 0.5 (fma t_1 (cos y) t_2) 1.0) 3.0))
t_3))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = sqrt(5.0) - 1.0;
double t_3 = ((((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / (fma(0.5, fma(t_1, cos(y), (t_2 * cos(x))), 1.0) * 3.0);
double tmp;
if (x <= -0.000145) {
tmp = t_3;
} else if (x <= 1.4e-6) {
tmp = ((((fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / (fma(0.5, fma(t_1, cos(y), t_2), 1.0) * 3.0);
} else {
tmp = t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(sqrt(5.0) - 1.0) t_3 = Float64(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_1, cos(y), Float64(t_2 * cos(x))), 1.0) * 3.0)) tmp = 0.0 if (x <= -0.000145) tmp = t_3; elseif (x <= 1.4e-6) tmp = Float64(Float64(Float64(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_1, cos(y), t_2), 1.0) * 3.0)); else tmp = t_3; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$3 = 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] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + N[(t$95$2 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.000145], t$95$3, If[LessEqual[x, 1.4e-6], N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := 3 - \sqrt{5}\\
t_2 := \sqrt{5} - 1\\
t_3 := \frac{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos y, t\_2 \cdot \cos x\right), 1\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.000145:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;x \leq 1.4 \cdot 10^{-6}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos y, t\_2\right), 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if x < -1.45e-4 or 1.39999999999999994e-6 < x Initial program 98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6464.1
Applied rewrites64.1%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6464.1
Applied rewrites64.1%
if -1.45e-4 < x < 1.39999999999999994e-6Initial program 99.6%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (fma (sin y) -0.0625 (sin x)))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3
(/
(+ (* (* (* (sin y) (sqrt 2.0)) t_1) t_0) 2.0)
(*
(fma
(fma 0.5 (sqrt 5.0) -0.5)
(cos x)
(+ (* (* 0.5 (cos y)) t_2) 1.0))
3.0))))
(if (<= y -1.32e-5)
t_3
(if (<= y 1.06e-19)
(/
(+ (* (* (* (fma (sin x) -0.0625 (sin y)) (sqrt 2.0)) t_1) t_0) 2.0)
(* (fma 0.5 (fma (- (sqrt 5.0) 1.0) (cos x) t_2) 1.0) 3.0))
t_3))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = fma(sin(y), -0.0625, sin(x));
double t_2 = 3.0 - sqrt(5.0);
double t_3 = ((((sin(y) * sqrt(2.0)) * t_1) * t_0) + 2.0) / (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), (((0.5 * cos(y)) * t_2) + 1.0)) * 3.0);
double tmp;
if (y <= -1.32e-5) {
tmp = t_3;
} else if (y <= 1.06e-19) {
tmp = ((((fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * t_1) * t_0) + 2.0) / (fma(0.5, fma((sqrt(5.0) - 1.0), cos(x), t_2), 1.0) * 3.0);
} else {
tmp = t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = fma(sin(y), -0.0625, sin(x)) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(Float64(Float64(Float64(Float64(sin(y) * sqrt(2.0)) * t_1) * t_0) + 2.0) / Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), Float64(Float64(Float64(0.5 * cos(y)) * t_2) + 1.0)) * 3.0)) tmp = 0.0 if (y <= -1.32e-5) tmp = t_3; elseif (y <= 1.06e-19) tmp = Float64(Float64(Float64(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * t_1) * t_0) + 2.0) / Float64(fma(0.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), t_2), 1.0) * 3.0)); else tmp = t_3; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.32e-5], t$95$3, If[LessEqual[y, 1.06e-19], N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_2 := 3 - \sqrt{5}\\
t_3 := \frac{\left(\left(\sin y \cdot \sqrt{2}\right) \cdot t\_1\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, \left(0.5 \cdot \cos y\right) \cdot t\_2 + 1\right) \cdot 3}\\
\mathbf{if}\;y \leq -1.32 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;y \leq 1.06 \cdot 10^{-19}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \sqrt{2}\right) \cdot t\_1\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, t\_2\right), 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if y < -1.32000000000000007e-5 or 1.06e-19 < y Initial program 99.0%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.0%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.0%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.4
Applied rewrites63.4%
if -1.32000000000000007e-5 < y < 1.06e-19Initial program 99.5%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.5%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.5
Applied rewrites99.5%
Final simplification80.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3
(* (+ (+ (* (/ t_1 2.0) (cos x)) 1.0) (* (/ t_2 2.0) (cos y))) 3.0)))
(if (<= x -0.000145)
(/ (+ (* (* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0) t_3)
(if (<= x 1.4e-6)
(/
(+
(*
(*
(* (fma (sin x) -0.0625 (sin y)) (sqrt 2.0))
(fma (sin y) -0.0625 (sin x)))
t_0)
2.0)
(* (fma 0.5 (fma t_2 (cos y) t_1) 1.0) 3.0))
(/
(+
(*
(- (cos x) 1.0)
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))))
2.0)
t_3)))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = ((((t_1 / 2.0) * cos(x)) + 1.0) + ((t_2 / 2.0) * cos(y))) * 3.0;
double tmp;
if (x <= -0.000145) {
tmp = ((((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3;
} else if (x <= 1.4e-6) {
tmp = ((((fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / (fma(0.5, fma(t_2, cos(y), t_1), 1.0) * 3.0);
} else {
tmp = (((cos(x) - 1.0) * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0)))) + 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_2 / 2.0) * cos(y))) * 3.0) tmp = 0.0 if (x <= -0.000145) tmp = Float64(Float64(Float64(Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3); elseif (x <= 1.4e-6) tmp = Float64(Float64(Float64(Float64(Float64(fma(sin(x), -0.0625, sin(y)) * sqrt(2.0)) * fma(sin(y), -0.0625, sin(x))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_2, cos(y), t_1), 1.0) * 3.0)); else tmp = Float64(Float64(Float64(Float64(cos(x) - 1.0) * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) + 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$2 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]}, If[LessEqual[x, -0.000145], N[(N[(N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[x, 1.4e-6], N[(N[(N[(N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * 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]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := \left(\left(\frac{t\_1}{2} \cdot \cos x + 1\right) + \frac{t\_2}{2} \cdot \cos y\right) \cdot 3\\
\mathbf{if}\;x \leq -0.000145:\\
\;\;\;\;\frac{\left(\left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{t\_3}\\
\mathbf{elif}\;x \leq 1.4 \cdot 10^{-6}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_2, \cos y, t\_1\right), 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\cos x - 1\right) \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) + 2}{t\_3}\\
\end{array}
\end{array}
if x < -1.45e-4Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.3
Applied rewrites63.3%
if -1.45e-4 < x < 1.39999999999999994e-6Initial program 99.6%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
if 1.39999999999999994e-6 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in y around 0
lower--.f64N/A
lower-cos.f6458.9
Applied rewrites58.9%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(* (+ (+ (* (/ t_0 2.0) (cos x)) 1.0) (* (/ t_1 2.0) (cos y))) 3.0)))
(if (<= x -0.00325)
(/
(+
(* (* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)) (- (cos x) (cos y)))
2.0)
t_2)
(if (<= x 2e-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 t_0 (fma -0.25 (* x x) 0.5) (* (* 0.5 (cos y)) t_1)) 1.0)
3.0))
(/
(+
(*
(- (cos x) 1.0)
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))))
2.0)
t_2)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = ((((t_0 / 2.0) * cos(x)) + 1.0) + ((t_1 / 2.0) * cos(y))) * 3.0;
double tmp;
if (x <= -0.00325) {
tmp = ((((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / t_2;
} else if (x <= 2e-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(t_0, fma(-0.25, (x * x), 0.5), ((0.5 * cos(y)) * t_1)) + 1.0) * 3.0);
} else {
tmp = (((cos(x) - 1.0) * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0)))) + 2.0) / 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(Float64(Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_1 / 2.0) * cos(y))) * 3.0) tmp = 0.0 if (x <= -0.00325) tmp = Float64(Float64(Float64(Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / t_2); elseif (x <= 2e-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) / Float64(Float64(fma(t_0, fma(-0.25, Float64(x * x), 0.5), Float64(Float64(0.5 * cos(y)) * t_1)) + 1.0) * 3.0)); else tmp = Float64(Float64(Float64(Float64(cos(x) - 1.0) * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) + 2.0) / 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[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]}, If[LessEqual[x, -0.00325], N[(N[(N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[x, 2e-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[(N[(N[(t$95$0 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * 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]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \left(\left(\frac{t\_0}{2} \cdot \cos x + 1\right) + \frac{t\_1}{2} \cdot \cos y\right) \cdot 3\\
\mathbf{if}\;x \leq -0.00325:\\
\;\;\;\;\frac{\left(\left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{t\_2}\\
\mathbf{elif}\;x \leq 2 \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)}{\left(\mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right), \left(0.5 \cdot \cos y\right) \cdot t\_1\right) + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\cos x - 1\right) \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) + 2}{t\_2}\\
\end{array}
\end{array}
if x < -0.00324999999999999985Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.3
Applied rewrites63.3%
if -0.00324999999999999985 < x < 2.00000000000000016e-5Initial 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%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.6%
if 2.00000000000000016e-5 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in y around 0
lower--.f64N/A
lower-cos.f6458.9
Applied rewrites58.9%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -0.00325)
(/
(+ (* (* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0)
(* (+ (+ (* (/ t_1 2.0) (cos x)) 1.0) (* (/ t_2 2.0) (cos y))) 3.0))
(if (<= x 2e-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 t_1 (fma -0.25 (* x x) 0.5) (* (* 0.5 (cos y)) t_2)) 1.0)
3.0))
(/
(+ (* (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))) t_0) 2.0)
(* (fma 0.5 (fma t_1 (cos x) t_2) 1.0) 3.0))))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.00325) {
tmp = ((((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / (((((t_1 / 2.0) * cos(x)) + 1.0) + ((t_2 / 2.0) * cos(y))) * 3.0);
} else if (x <= 2e-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(t_1, fma(-0.25, (x * x), 0.5), ((0.5 * cos(y)) * t_2)) + 1.0) * 3.0);
} else {
tmp = ((((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / (fma(0.5, fma(t_1, cos(x), t_2), 1.0) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.00325) tmp = Float64(Float64(Float64(Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / Float64(Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_2 / 2.0) * cos(y))) * 3.0)); elseif (x <= 2e-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) / Float64(Float64(fma(t_1, fma(-0.25, Float64(x * x), 0.5), Float64(Float64(0.5 * cos(y)) * t_2)) + 1.0) * 3.0)); else tmp = Float64(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_1, cos(x), t_2), 1.0) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00325], N[(N[(N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$2 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 2e-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[(N[(N[(t$95$1 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], 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] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.00325:\\
\;\;\;\;\frac{\left(\left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{\left(\left(\frac{t\_1}{2} \cdot \cos x + 1\right) + \frac{t\_2}{2} \cdot \cos y\right) \cdot 3}\\
\mathbf{elif}\;x \leq 2 \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)}{\left(\mathsf{fma}\left(t\_1, \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right), \left(0.5 \cdot \cos y\right) \cdot t\_2\right) + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos x, t\_2\right), 1\right) \cdot 3}\\
\end{array}
\end{array}
if x < -0.00324999999999999985Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.3
Applied rewrites63.3%
if -0.00324999999999999985 < x < 2.00000000000000016e-5Initial 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%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.6%
if 2.00000000000000016e-5 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.7
Applied rewrites58.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (* (* 0.5 (cos y)) t_2)))
(if (<= x -0.00325)
(/
(+ (* (* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0)
(* (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) (+ t_3 1.0)) 3.0))
(if (<= x 2e-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 t_1 (fma -0.25 (* x x) 0.5) t_3) 1.0) 3.0))
(/
(+ (* (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0))) t_0) 2.0)
(* (fma 0.5 (fma t_1 (cos x) t_2) 1.0) 3.0))))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = (0.5 * cos(y)) * t_2;
double tmp;
if (x <= -0.00325) {
tmp = ((((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), (t_3 + 1.0)) * 3.0);
} else if (x <= 2e-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(t_1, fma(-0.25, (x * x), 0.5), t_3) + 1.0) * 3.0);
} else {
tmp = ((((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / (fma(0.5, fma(t_1, cos(x), t_2), 1.0) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(Float64(0.5 * cos(y)) * t_2) tmp = 0.0 if (x <= -0.00325) tmp = Float64(Float64(Float64(Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), Float64(t_3 + 1.0)) * 3.0)); elseif (x <= 2e-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) / Float64(Float64(fma(t_1, fma(-0.25, Float64(x * x), 0.5), t_3) + 1.0) * 3.0)); else tmp = Float64(Float64(Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / Float64(fma(0.5, fma(t_1, cos(x), t_2), 1.0) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, If[LessEqual[x, -0.00325], N[(N[(N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(t$95$3 + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 2e-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[(N[(N[(t$95$1 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], 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] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := \left(0.5 \cdot \cos y\right) \cdot t\_2\\
\mathbf{if}\;x \leq -0.00325:\\
\;\;\;\;\frac{\left(\left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, t\_3 + 1\right) \cdot 3}\\
\mathbf{elif}\;x \leq 2 \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)}{\left(\mathsf{fma}\left(t\_1, \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right), t\_3\right) + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos x, t\_2\right), 1\right) \cdot 3}\\
\end{array}
\end{array}
if x < -0.00324999999999999985Initial program 98.9%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites98.9%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites98.8%
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.f6463.3
Applied rewrites63.3%
if -0.00324999999999999985 < x < 2.00000000000000016e-5Initial 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%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.6%
if 2.00000000000000016e-5 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.7
Applied rewrites58.7%
Final simplification79.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (pow (sin x) 2.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (* (* 0.5 (cos y)) t_2)))
(if (<= x -0.00325)
(/
(+ (* (* (* t_1 -0.0625) (sqrt 2.0)) (- (cos x) (cos y))) 2.0)
(* (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) (+ t_3 1.0)) 3.0))
(if (<= x 2e-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 t_0 (fma -0.25 (* x x) 0.5) t_3) 1.0) 3.0))
(/
(fma (* (fma (cos x) -0.0625 0.0625) (sqrt 2.0)) t_1 2.0)
(*
(+ (+ (* (/ t_0 2.0) (cos x)) 1.0) (* (/ t_2 2.0) (cos y)))
3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = pow(sin(x), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = (0.5 * cos(y)) * t_2;
double tmp;
if (x <= -0.00325) {
tmp = ((((t_1 * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / (fma(fma(0.5, sqrt(5.0), -0.5), cos(x), (t_3 + 1.0)) * 3.0);
} else if (x <= 2e-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(t_0, fma(-0.25, (x * x), 0.5), t_3) + 1.0) * 3.0);
} else {
tmp = fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), t_1, 2.0) / (((((t_0 / 2.0) * cos(x)) + 1.0) + ((t_2 / 2.0) * cos(y))) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = sin(x) ^ 2.0 t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(Float64(0.5 * cos(y)) * t_2) tmp = 0.0 if (x <= -0.00325) tmp = Float64(Float64(Float64(Float64(Float64(t_1 * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / Float64(fma(fma(0.5, sqrt(5.0), -0.5), cos(x), Float64(t_3 + 1.0)) * 3.0)); elseif (x <= 2e-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) / Float64(Float64(fma(t_0, fma(-0.25, Float64(x * x), 0.5), t_3) + 1.0) * 3.0)); else tmp = Float64(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), t_1, 2.0) / Float64(Float64(Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_2 / 2.0) * cos(y))) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, If[LessEqual[x, -0.00325], N[(N[(N[(N[(N[(t$95$1 * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(t$95$3 + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 2e-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[(N[(N[(t$95$0 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] + 1.0), $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[(N[(N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$2 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := {\sin x}^{2}\\
t_2 := 3 - \sqrt{5}\\
t_3 := \left(0.5 \cdot \cos y\right) \cdot t\_2\\
\mathbf{if}\;x \leq -0.00325:\\
\;\;\;\;\frac{\left(\left(t\_1 \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, t\_3 + 1\right) \cdot 3}\\
\mathbf{elif}\;x \leq 2 \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)}{\left(\mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right), t\_3\right) + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, t\_1, 2\right)}{\left(\left(\frac{t\_0}{2} \cdot \cos x + 1\right) + \frac{t\_2}{2} \cdot \cos y\right) \cdot 3}\\
\end{array}
\end{array}
if x < -0.00324999999999999985Initial program 98.9%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites98.9%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites98.8%
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.f6463.3
Applied rewrites63.3%
if -0.00324999999999999985 < x < 2.00000000000000016e-5Initial 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%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.6%
if 2.00000000000000016e-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 rewrites58.5%
Final simplification79.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(*
(+ (+ (* (/ t_1 2.0) (cos x)) 1.0) (* (/ t_0 2.0) (cos y)))
3.0))))
(if (<= x -0.00325)
t_2
(if (<= x 2e-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 t_1 (fma -0.25 (* x x) 0.5) (* (* 0.5 (cos y)) t_0)) 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 = fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / (((((t_1 / 2.0) * cos(x)) + 1.0) + ((t_0 / 2.0) * cos(y))) * 3.0);
double tmp;
if (x <= -0.00325) {
tmp = t_2;
} else if (x <= 2e-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(t_1, fma(-0.25, (x * x), 0.5), ((0.5 * cos(y)) * t_0)) + 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(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / Float64(Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_0 / 2.0) * cos(y))) * 3.0)) tmp = 0.0 if (x <= -0.00325) tmp = t_2; elseif (x <= 2e-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) / Float64(Float64(fma(t_1, fma(-0.25, Float64(x * x), 0.5), Float64(Float64(0.5 * cos(y)) * t_0)) + 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[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[(N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00325], t$95$2, If[LessEqual[x, 2e-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[(N[(N[(t$95$1 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[(0.5 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} - 1\\
t_2 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\left(\left(\frac{t\_1}{2} \cdot \cos x + 1\right) + \frac{t\_0}{2} \cdot \cos y\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.00325:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 2 \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)}{\left(\mathsf{fma}\left(t\_1, \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right), \left(0.5 \cdot \cos y\right) \cdot t\_0\right) + 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.00324999999999999985 or 2.00000000000000016e-5 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.8%
if -0.00324999999999999985 < x < 2.00000000000000016e-5Initial 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%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.6%
Final simplification79.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(/
(fma
(* (fma (cos x) -0.0625 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(*
(+ (+ (* (/ t_1 2.0) (cos x)) 1.0) (* (/ t_0 2.0) (cos y)))
3.0))))
(if (<= x -0.00015)
t_2
(if (<= x 1.4e-6)
(/
(fma
(- 1.0 (cos y))
(*
(fma (* 1.00390625 (sin y)) x (* (pow (sin y) 2.0) -0.0625))
(sqrt 2.0))
2.0)
(* (fma (fma t_0 (cos y) t_1) 0.5 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 = fma((fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / (((((t_1 / 2.0) * cos(x)) + 1.0) + ((t_0 / 2.0) * cos(y))) * 3.0);
double tmp;
if (x <= -0.00015) {
tmp = t_2;
} else if (x <= 1.4e-6) {
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(fma(t_0, cos(y), t_1), 0.5, 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(fma(Float64(fma(cos(x), -0.0625, 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / Float64(Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(x)) + 1.0) + Float64(Float64(t_0 / 2.0) * cos(y))) * 3.0)) tmp = 0.0 if (x <= -0.00015) tmp = t_2; elseif (x <= 1.4e-6) 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(fma(fma(t_0, cos(y), t_1), 0.5, 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[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[(N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00015], t$95$2, If[LessEqual[x, 1.4e-6], 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[(t$95$0 * N[Cos[y], $MachinePrecision] + t$95$1), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} - 1\\
t_2 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right) \cdot \sqrt{2}, {\sin x}^{2}, 2\right)}{\left(\left(\frac{t\_1}{2} \cdot \cos x + 1\right) + \frac{t\_0}{2} \cdot \cos y\right) \cdot 3}\\
\mathbf{if}\;x \leq -0.00015:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 1.4 \cdot 10^{-6}:\\
\;\;\;\;\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(\mathsf{fma}\left(t\_0, \cos y, t\_1\right), 0.5, 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -1.49999999999999987e-4 or 1.39999999999999994e-6 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.8%
if -1.49999999999999987e-4 < x < 1.39999999999999994e-6Initial 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%
Taylor expanded in x around 0
distribute-lft-inN/A
associate-+r-N/A
+-commutativeN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.6%
Final simplification79.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
(* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0))
(pow (sin y) 2.0)
2.0))
(t_1 (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= y -3.3e-6)
(/ t_0 (* (fma (* (/ 4.0 (+ (sqrt 5.0) 3.0)) (cos y)) 0.5 t_1) 3.0))
(if (<= y 1.06e-19)
(*
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 0.5 (fma (- (sqrt 5.0) 1.0) (cos x) t_2) 1.0))
0.3333333333333333)
(/ t_0 (* (fma (* t_2 (cos y)) 0.5 t_1) 3.0))))))
double code(double x, double y) {
double t_0 = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0);
double t_1 = fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (y <= -3.3e-6) {
tmp = t_0 / (fma(((4.0 / (sqrt(5.0) + 3.0)) * cos(y)), 0.5, t_1) * 3.0);
} else if (y <= 1.06e-19) {
tmp = (fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(0.5, fma((sqrt(5.0) - 1.0), cos(x), t_2), 1.0)) * 0.3333333333333333;
} else {
tmp = t_0 / (fma((t_2 * cos(y)), 0.5, t_1) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) t_1 = fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (y <= -3.3e-6) tmp = Float64(t_0 / Float64(fma(Float64(Float64(4.0 / Float64(sqrt(5.0) + 3.0)) * cos(y)), 0.5, t_1) * 3.0)); elseif (y <= 1.06e-19) tmp = Float64(Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), t_2), 1.0)) * 0.3333333333333333); else tmp = Float64(t_0 / Float64(fma(Float64(t_2 * cos(y)), 0.5, t_1) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -3.3e-6], N[(t$95$0 / N[(N[(N[(N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.06e-19], N[(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[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], N[(t$95$0 / N[(N[(N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)\\
t_1 := \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;y \leq -3.3 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(\frac{4}{\sqrt{5} + 3} \cdot \cos y, 0.5, t\_1\right) \cdot 3}\\
\mathbf{elif}\;y \leq 1.06 \cdot 10^{-19}:\\
\;\;\;\;\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, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, t\_2\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(t\_2 \cdot \cos y, 0.5, t\_1\right) \cdot 3}\\
\end{array}
\end{array}
if y < -3.30000000000000017e-6Initial program 98.8%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.6%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
Applied rewrites61.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6461.7
Applied rewrites61.7%
if -3.30000000000000017e-6 < y < 1.06e-19Initial program 99.5%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.5%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.4%
Taylor expanded in y around 0
Applied rewrites99.3%
if 1.06e-19 < y Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites58.0%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
Applied rewrites58.0%
Final simplification78.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(fma
(* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0))
(pow (sin y) 2.0)
2.0))
(t_2 (- (sqrt 5.0) 1.0)))
(if (<= y -3.3e-6)
(/ t_1 (* (fma 0.5 (fma t_0 (cos y) (* t_2 (cos x))) 1.0) 3.0))
(if (<= y 1.06e-19)
(*
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 0.5 (fma t_2 (cos x) t_0) 1.0))
0.3333333333333333)
(/
t_1
(*
(fma (* t_0 (cos y)) 0.5 (fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0);
double t_2 = sqrt(5.0) - 1.0;
double tmp;
if (y <= -3.3e-6) {
tmp = t_1 / (fma(0.5, fma(t_0, cos(y), (t_2 * cos(x))), 1.0) * 3.0);
} else if (y <= 1.06e-19) {
tmp = (fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(0.5, fma(t_2, cos(x), t_0), 1.0)) * 0.3333333333333333;
} else {
tmp = t_1 / (fma((t_0 * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) t_2 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if (y <= -3.3e-6) tmp = Float64(t_1 / Float64(fma(0.5, fma(t_0, cos(y), Float64(t_2 * cos(x))), 1.0) * 3.0)); elseif (y <= 1.06e-19) tmp = Float64(Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(t_2, cos(x), t_0), 1.0)) * 0.3333333333333333); else tmp = Float64(t_1 / Float64(fma(Float64(t_0 * cos(y)), 0.5, fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[LessEqual[y, -3.3e-6], N[(t$95$1 / N[(N[(0.5 * N[(t$95$0 * N[Cos[y], $MachinePrecision] + N[(t$95$2 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.06e-19], N[(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[(0.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], N[(t$95$1 / 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]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)\\
t_2 := \sqrt{5} - 1\\
\mathbf{if}\;y \leq -3.3 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos y, t\_2 \cdot \cos x\right), 1\right) \cdot 3}\\
\mathbf{elif}\;y \leq 1.06 \cdot 10^{-19}:\\
\;\;\;\;\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, \mathsf{fma}\left(t\_2, \cos x, t\_0\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\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}\\
\end{array}
\end{array}
if y < -3.30000000000000017e-6Initial program 98.8%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.6%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6461.6
Applied rewrites61.6%
if -3.30000000000000017e-6 < y < 1.06e-19Initial program 99.5%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.5%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.4%
Taylor expanded in y around 0
Applied rewrites99.3%
if 1.06e-19 < y Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites58.0%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
Applied rewrites58.0%
Final simplification78.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2
(/
(fma
(* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0))
(pow (sin y) 2.0)
2.0)
(* (fma 0.5 (fma t_0 (cos y) (* t_1 (cos x))) 1.0) 3.0))))
(if (<= y -3.3e-6)
t_2
(if (<= y 1.06e-19)
(*
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 0.5 (fma t_1 (cos x) t_0) 1.0))
0.3333333333333333)
t_2))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / (fma(0.5, fma(t_0, cos(y), (t_1 * cos(x))), 1.0) * 3.0);
double tmp;
if (y <= -3.3e-6) {
tmp = t_2;
} else if (y <= 1.06e-19) {
tmp = (fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(0.5, fma(t_1, cos(x), t_0), 1.0)) * 0.3333333333333333;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / Float64(fma(0.5, fma(t_0, cos(y), Float64(t_1 * cos(x))), 1.0) * 3.0)) tmp = 0.0 if (y <= -3.3e-6) tmp = t_2; elseif (y <= 1.06e-19) tmp = Float64(Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(t_1, cos(x), t_0), 1.0)) * 0.3333333333333333); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$0 * N[Cos[y], $MachinePrecision] + N[(t$95$1 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -3.3e-6], t$95$2, If[LessEqual[y, 1.06e-19], N[(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[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} - 1\\
t_2 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos y, t\_1 \cdot \cos x\right), 1\right) \cdot 3}\\
\mathbf{if}\;y \leq -3.3 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 1.06 \cdot 10^{-19}:\\
\;\;\;\;\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, \mathsf{fma}\left(t\_1, \cos x, t\_0\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -3.30000000000000017e-6 or 1.06e-19 < y Initial program 99.0%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites59.9%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6460.0
Applied rewrites60.0%
if -3.30000000000000017e-6 < y < 1.06e-19Initial program 99.5%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.5%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites99.4%
Taylor expanded in y around 0
Applied rewrites99.3%
Final simplification78.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(*
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (sqrt 2.0))
(pow (sin x) 2.0)
2.0)
(fma 0.5 (fma t_0 (cos x) t_1) 1.0))
0.3333333333333333)))
(if (<= x -9.6e-5)
t_2
(if (<= x 7e-7)
(/
(/
(fma
(pow (sin y) 2.0)
(* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0))
2.0)
(fma (fma t_1 (cos y) t_0) 0.5 1.0))
3.0)
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = (fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333;
double tmp;
if (x <= -9.6e-5) {
tmp = t_2;
} else if (x <= 7e-7) {
tmp = (fma(pow(sin(y), 2.0), (fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), 2.0) / fma(fma(t_1, cos(y), t_0), 0.5, 1.0)) / 3.0;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333) tmp = 0.0 if (x <= -9.6e-5) tmp = t_2; elseif (x <= 7e-7) tmp = Float64(Float64(fma((sin(y) ^ 2.0), Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), 2.0) / fma(fma(t_1, cos(y), t_0), 0.5, 1.0)) / 3.0); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(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[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]}, If[LessEqual[x, -9.6e-5], t$95$2, If[LessEqual[x, 7e-7], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] / 3.0), $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(0.5, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{if}\;x \leq -9.6 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 7 \cdot 10^{-7}:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left({\sin y}^{2}, \mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(t\_1, \cos y, t\_0\right), 0.5, 1\right)}}{3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -9.6000000000000002e-5 or 6.99999999999999968e-7 < x Initial program 98.9%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.0%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites60.2%
if -9.6000000000000002e-5 < x < 6.99999999999999968e-7Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
Applied rewrites99.0%
(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 0.5 (fma t_0 (cos x) t_1) 1.0))
0.3333333333333333)))
(if (<= x -9.6e-5)
t_2
(if (<= x 7e-7)
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(* (fma 0.5 (fma t_1 (cos y) t_0) 1.0) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = (fma((fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), pow(sin(x), 2.0), 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333;
double tmp;
if (x <= -9.6e-5) {
tmp = t_2;
} else if (x <= 7e-7) {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / (fma(0.5, fma(t_1, cos(y), t_0), 1.0) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333) tmp = 0.0 if (x <= -9.6e-5) tmp = t_2; elseif (x <= 7e-7) tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / Float64(fma(0.5, fma(t_1, cos(y), t_0), 1.0) * 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(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[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]}, If[LessEqual[x, -9.6e-5], t$95$2, If[LessEqual[x, 7e-7], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{\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, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{if}\;x \leq -9.6 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 7 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos y, t\_0\right), 1\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -9.6000000000000002e-5 or 6.99999999999999968e-7 < x Initial program 98.9%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.0%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites60.2%
if -9.6000000000000002e-5 < x < 6.99999999999999968e-7Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Final simplification78.5%
(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 (fma (- (sqrt 5.0) 1.0) (cos x) t_0) 1.0))
0.3333333333333333)))
(if (<= x -9.6e-5)
t_1
(if (<= x 7e-7)
(/
(fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0)
(* (fma 0.5 (fma t_0 (cos y) (sqrt 5.0)) 0.5) 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, fma((sqrt(5.0) - 1.0), cos(x), t_0), 1.0)) * 0.3333333333333333;
double tmp;
if (x <= -9.6e-5) {
tmp = t_1;
} else if (x <= 7e-7) {
tmp = fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / (fma(0.5, fma(t_0, cos(y), sqrt(5.0)), 0.5) * 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * sqrt(2.0)), (sin(x) ^ 2.0), 2.0) / fma(0.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), t_0), 1.0)) * 0.3333333333333333) tmp = 0.0 if (x <= -9.6e-5) tmp = t_1; elseif (x <= 7e-7) tmp = Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / Float64(fma(0.5, fma(t_0, cos(y), sqrt(5.0)), 0.5) * 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[(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[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]}, If[LessEqual[x, -9.6e-5], t$95$1, If[LessEqual[x, 7e-7], N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(t$95$0 * N[Cos[y], $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 0.5), $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, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, t\_0\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{if}\;x \leq -9.6 \cdot 10^{-5}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos y, \sqrt{5}\right), 0.5\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -9.6000000000000002e-5 or 6.99999999999999968e-7 < x Initial program 98.9%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites99.0%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-+l+N/A
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites60.2%
if -9.6000000000000002e-5 < x < 6.99999999999999968e-7Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites98.9%
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Final simplification78.5%
(FPCore (x y) :precision binary64 (/ (fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0) (* (fma 0.5 (fma (- 3.0 (sqrt 5.0)) (cos y) (sqrt 5.0)) 0.5) 3.0)))
double code(double x, double y) {
return fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / (fma(0.5, fma((3.0 - sqrt(5.0)), cos(y), sqrt(5.0)), 0.5) * 3.0);
}
function code(x, y) return Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / Float64(fma(0.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), sqrt(5.0)), 0.5) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \sqrt{5}\right), 0.5\right) \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.2%
Applied rewrites61.1%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower-sqrt.f6458.2
Applied rewrites58.2%
Final simplification58.2%
(FPCore (x y) :precision binary64 (/ (fma (* (fma 0.0625 (cos y) -0.0625) (sqrt 2.0)) (pow (sin y) 2.0) 2.0) (* 2.0 3.0)))
double code(double x, double y) {
return fma((fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), pow(sin(y), 2.0), 2.0) / (2.0 * 3.0);
}
function code(x, y) return Float64(fma(Float64(fma(0.0625, cos(y), -0.0625) * sqrt(2.0)), (sin(y) ^ 2.0), 2.0) / Float64(2.0 * 3.0)) end
code[x_, y_] := N[(N[(N[(N[(0.0625 * N[Cos[y], $MachinePrecision] + -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(2.0 * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, \cos y, -0.0625\right) \cdot \sqrt{2}, {\sin y}^{2}, 2\right)}{2 \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.3
Applied rewrites58.3%
Taylor expanded in y around 0
Applied rewrites39.8%
Final simplification39.8%
(FPCore (x y)
:precision binary64
(/
(fma (* (pow y 4.0) -0.03125) (sqrt 2.0) 2.0)
(*
(fma
(- 3.0 (sqrt 5.0))
(fma -0.25 (* y y) 0.5)
(fma (fma 0.5 (sqrt 5.0) -0.5) (cos x) 1.0))
3.0)))
double code(double x, double y) {
return fma((pow(y, 4.0) * -0.03125), sqrt(2.0), 2.0) / (fma((3.0 - sqrt(5.0)), fma(-0.25, (y * y), 0.5), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0);
}
function code(x, y) return Float64(fma(Float64((y ^ 4.0) * -0.03125), sqrt(2.0), 2.0) / Float64(fma(Float64(3.0 - sqrt(5.0)), fma(-0.25, Float64(y * y), 0.5), fma(fma(0.5, sqrt(5.0), -0.5), cos(x), 1.0)) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[Power[y, 4.0], $MachinePrecision] * -0.03125), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[(-0.25 * N[(y * y), $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({y}^{4} \cdot -0.03125, \sqrt{2}, 2\right)}{\mathsf{fma}\left(3 - \sqrt{5}, \mathsf{fma}\left(-0.25, y \cdot y, 0.5\right), \mathsf{fma}\left(\mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right), \cos x, 1\right)\right) \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.3
Applied rewrites58.3%
Taylor expanded in y around 0
Applied rewrites29.6%
Taylor expanded in y around 0
associate-+r+N/A
*-commutativeN/A
associate-*r*N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
metadata-evalN/A
sub-negN/A
*-commutativeN/A
+-commutativeN/A
associate-+r+N/A
Applied rewrites32.9%
Final simplification32.9%
(FPCore (x y) :precision binary64 (/ (fma (* (pow y 4.0) -0.03125) (sqrt 2.0) 2.0) (* (fma 0.5 (fma (- (sqrt 5.0) 1.0) (cos x) (- 3.0 (sqrt 5.0))) 1.0) 3.0)))
double code(double x, double y) {
return fma((pow(y, 4.0) * -0.03125), sqrt(2.0), 2.0) / (fma(0.5, fma((sqrt(5.0) - 1.0), cos(x), (3.0 - sqrt(5.0))), 1.0) * 3.0);
}
function code(x, y) return Float64(fma(Float64((y ^ 4.0) * -0.03125), sqrt(2.0), 2.0) / Float64(fma(0.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), Float64(3.0 - sqrt(5.0))), 1.0) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[Power[y, 4.0], $MachinePrecision] * -0.03125), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(0.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({y}^{4} \cdot -0.03125, \sqrt{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, 3 - \sqrt{5}\right), 1\right) \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.3
Applied rewrites58.3%
Taylor expanded in y around 0
Applied rewrites29.6%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6431.7
Applied rewrites31.7%
Final simplification31.7%
(FPCore (x y) :precision binary64 (/ (fma (* (pow y 4.0) -0.03125) (sqrt 2.0) 2.0) (* (fma (* (* y y) -0.25) (- 3.0 (sqrt 5.0)) 2.0) 3.0)))
double code(double x, double y) {
return fma((pow(y, 4.0) * -0.03125), sqrt(2.0), 2.0) / (fma(((y * y) * -0.25), (3.0 - sqrt(5.0)), 2.0) * 3.0);
}
function code(x, y) return Float64(fma(Float64((y ^ 4.0) * -0.03125), sqrt(2.0), 2.0) / Float64(fma(Float64(Float64(y * y) * -0.25), Float64(3.0 - sqrt(5.0)), 2.0) * 3.0)) end
code[x_, y_] := N[(N[(N[(N[Power[y, 4.0], $MachinePrecision] * -0.03125), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(y * y), $MachinePrecision] * -0.25), $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({y}^{4} \cdot -0.03125, \sqrt{2}, 2\right)}{\mathsf{fma}\left(\left(y \cdot y\right) \cdot -0.25, 3 - \sqrt{5}, 2\right) \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.3
Applied rewrites58.3%
Taylor expanded in y around 0
Applied rewrites29.6%
Taylor expanded in y around 0
Applied rewrites30.5%
Final simplification30.5%
(FPCore (x y) :precision binary64 (/ (fma (* (pow y 4.0) -0.03125) (sqrt 2.0) 2.0) (* 2.0 3.0)))
double code(double x, double y) {
return fma((pow(y, 4.0) * -0.03125), sqrt(2.0), 2.0) / (2.0 * 3.0);
}
function code(x, y) return Float64(fma(Float64((y ^ 4.0) * -0.03125), sqrt(2.0), 2.0) / Float64(2.0 * 3.0)) end
code[x_, y_] := N[(N[(N[(N[Power[y, 4.0], $MachinePrecision] * -0.03125), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(2.0 * 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({y}^{4} \cdot -0.03125, \sqrt{2}, 2\right)}{2 \cdot 3}
\end{array}
Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites61.2%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.3
Applied rewrites58.3%
Taylor expanded in y around 0
Applied rewrites29.6%
Taylor expanded in y around 0
Applied rewrites29.3%
Final simplification29.3%
herbie shell --seed 2024332
(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))))))