
(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 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (fma -0.0625 (sin y) (sin x)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * fma(-0.0625, sin(y), sin(x))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * fma(-0.0625, sin(y), sin(x))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, \sin x\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6499.3
Simplified99.3%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6499.3
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma (sin x) -0.0625 (sin y))))))
(*
3.0
(+
(+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))))))
double code(double x, double y) {
return (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0))));
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6499.3
Simplified99.3%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6499.3
Simplified99.3%
Taylor expanded in y around inf
metadata-evalN/A
cancel-sign-sub-invN/A
lower-*.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
Simplified99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))))
t_0)))
(if (<= x -0.7)
t_1
(if (<= x 0.37)
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma (sin x) -0.0625 (sin y))))
(fma
(* x x)
(fma
(* x x)
(fma (* x x) -0.001388888888888889 0.041666666666666664)
-0.5)
(- 1.0 (cos y)))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))))) / t_0;
double tmp;
if (x <= -0.7) {
tmp = t_1;
} else if (x <= 0.37) {
tmp = (2.0 + ((sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))) * fma((x * x), fma((x * x), fma((x * x), -0.001388888888888889, 0.041666666666666664), -0.5), (1.0 - cos(y))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))))) / t_0) tmp = 0.0 if (x <= -0.7) tmp = t_1; elseif (x <= 0.37) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))) * fma(Float64(x * x), fma(Float64(x * x), fma(Float64(x * x), -0.001388888888888889, 0.041666666666666664), -0.5), Float64(1.0 - cos(y))))) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.7], t$95$1, If[LessEqual[x, 0.37], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * -0.001388888888888889 + 0.041666666666666664), $MachinePrecision] + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.7:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.37:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, -0.001388888888888889, 0.041666666666666664\right), -0.5\right), 1 - \cos y\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.69999999999999996 or 0.37 < x Initial program 98.9%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6498.9
Simplified98.9%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6498.9
Simplified98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6459.9
Simplified59.9%
if -0.69999999999999996 < x < 0.37Initial program 99.6%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6499.6
Simplified99.6%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6499.6
Simplified99.6%
Taylor expanded in y around inf
metadata-evalN/A
cancel-sign-sub-invN/A
lower-*.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
Simplified99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.4
Simplified99.4%
Final simplification82.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5)))
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (- (sin y) (/ (sin x) 16.0)) (* (sqrt 2.0) (sin x)))))
t_0)))
(if (<= x -0.32)
t_1
(if (<= x 0.32)
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma (sin x) -0.0625 (sin y))))
(fma
(* x (fma x (* x 0.041666666666666664) -0.5))
x
(- 1.0 (cos y)))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + (cos(y) * ((3.0 - sqrt(5.0)) / 2.0)));
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * sin(x))))) / t_0;
double tmp;
if (x <= -0.32) {
tmp = t_1;
} else if (x <= 0.32) {
tmp = (2.0 + ((sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))) * fma((x * fma(x, (x * 0.041666666666666664), -0.5)), x, (1.0 - cos(y))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)))) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * sin(x))))) / t_0) tmp = 0.0 if (x <= -0.32) tmp = t_1; elseif (x <= 0.32) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))) * fma(Float64(x * fma(x, Float64(x * 0.041666666666666664), -0.5)), x, Float64(1.0 - cos(y))))) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.32], t$95$1, If[LessEqual[x, 0.32], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(x * N[(x * N[(x * 0.041666666666666664), $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] * x + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + \cos y \cdot \frac{3 - \sqrt{5}}{2}\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.32:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.32:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.041666666666666664, -0.5\right), x, 1 - \cos y\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.320000000000000007 or 0.320000000000000007 < x Initial program 98.9%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6498.9
Simplified98.9%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6498.9
Simplified98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6459.9
Simplified59.9%
if -0.320000000000000007 < x < 0.320000000000000007Initial program 99.6%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6499.6
Simplified99.6%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6499.6
Simplified99.6%
Taylor expanded in y around inf
metadata-evalN/A
cancel-sign-sub-invN/A
lower-*.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
Simplified99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.0
Simplified99.0%
Final simplification81.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1 (- (sin y) (/ (sin x) 16.0)))
(t_2
(/
(+ 2.0 (* (- (cos x) (cos y)) (* t_1 (* (sqrt 2.0) (sin x)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5))) t_0)))))
(if (<= x -0.31)
t_2
(if (<= x 0.092)
(/
(+
2.0
(*
(*
t_1
(fma
x
(*
(* x (* (sqrt 2.0) x))
(fma (* x x) 0.008333333333333333 -0.16666666666666666))
(* (sqrt 2.0) (fma -0.0625 (sin y) x))))
(fma -0.5 (* x x) (- 1.0 (cos y)))))
(* 3.0 (+ t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
t_2))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = sin(y) - (sin(x) / 16.0);
double t_2 = (2.0 + ((cos(x) - cos(y)) * (t_1 * (sqrt(2.0) * sin(x))))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0));
double tmp;
if (x <= -0.31) {
tmp = t_2;
} else if (x <= 0.092) {
tmp = (2.0 + ((t_1 * fma(x, ((x * (sqrt(2.0) * x)) * fma((x * x), 0.008333333333333333, -0.16666666666666666)), (sqrt(2.0) * fma(-0.0625, sin(y), x)))) * fma(-0.5, (x * x), (1.0 - cos(y))))) / (3.0 * (t_0 + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_2 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(t_1 * Float64(sqrt(2.0) * sin(x))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0))) tmp = 0.0 if (x <= -0.31) tmp = t_2; elseif (x <= 0.092) tmp = Float64(Float64(2.0 + Float64(Float64(t_1 * fma(x, Float64(Float64(x * Float64(sqrt(2.0) * x)) * fma(Float64(x * x), 0.008333333333333333, -0.16666666666666666)), Float64(sqrt(2.0) * fma(-0.0625, sin(y), x)))) * fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $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[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$2, If[LessEqual[x, 0.092], N[(N[(2.0 + N[(N[(t$95$1 * N[(x * N[(N[(x * N[(N[Sqrt[2.0], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.008333333333333333 + -0.16666666666666666), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := \sin y - \frac{\sin x}{16}\\
t_2 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(t\_1 \cdot \left(\sqrt{2} \cdot \sin x\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + t\_0\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.092:\\
\;\;\;\;\frac{2 + \left(t\_1 \cdot \mathsf{fma}\left(x, \left(x \cdot \left(\sqrt{2} \cdot x\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.008333333333333333, -0.16666666666666666\right), \sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right) \cdot \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right)}{3 \cdot \left(t\_0 + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.091999999999999998 < x Initial program 98.9%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6498.9
Simplified98.9%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6498.9
Simplified98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6459.9
Simplified59.9%
if -0.309999999999999998 < x < 0.091999999999999998Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Simplified98.7%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1 (* 3.0 (+ (+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5))) t_0))))
(if (<= x -0.31)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
t_1)
(if (<= x 0.1)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(fma
x
(*
(* x (* (sqrt 2.0) x))
(fma (* x x) 0.008333333333333333 -0.16666666666666666))
(* (sqrt 2.0) (fma -0.0625 (sin y) x))))
(fma -0.5 (* x x) (- 1.0 (cos y)))))
(* 3.0 (+ t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
(/
(+
2.0
(*
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma (sin x) -0.0625 (sin y))))
(+ (cos x) -1.0)))
t_1)))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = 3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0);
double tmp;
if (x <= -0.31) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / t_1;
} else if (x <= 0.1) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * fma(x, ((x * (sqrt(2.0) * x)) * fma((x * x), 0.008333333333333333, -0.16666666666666666)), (sqrt(2.0) * fma(-0.0625, sin(y), x)))) * fma(-0.5, (x * x), (1.0 - cos(y))))) / (3.0 * (t_0 + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
} else {
tmp = (2.0 + ((sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))) * (cos(x) + -1.0))) / t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0)) tmp = 0.0 if (x <= -0.31) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / t_1); elseif (x <= 0.1) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * fma(x, Float64(Float64(x * Float64(sqrt(2.0) * x)) * fma(Float64(x * x), 0.008333333333333333, -0.16666666666666666)), Float64(sqrt(2.0) * fma(-0.0625, sin(y), x)))) * fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))); else tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(sin(x), -0.0625, sin(y)))) * Float64(cos(x) + -1.0))) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[x, 0.1], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(x * N[(N[(x * N[(N[Sqrt[2.0], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.008333333333333333 + -0.16666666666666666), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := 3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + t\_0\right)\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{t\_1}\\
\mathbf{elif}\;x \leq 0.1:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \mathsf{fma}\left(x, \left(x \cdot \left(\sqrt{2} \cdot x\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.008333333333333333, -0.16666666666666666\right), \sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right) \cdot \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right)}{3 \cdot \left(t\_0 + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right)\right) \cdot \left(\cos x + -1\right)}{t\_1}\\
\end{array}
\end{array}
if x < -0.309999999999999998Initial program 99.0%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6455.0
Simplified55.0%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6455.0
Simplified55.0%
if -0.309999999999999998 < x < 0.10000000000000001Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Simplified98.7%
if 0.10000000000000001 < x Initial program 98.8%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f6498.8
Simplified98.8%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6498.8
Simplified98.8%
Taylor expanded in y around inf
metadata-evalN/A
cancel-sign-sub-invN/A
lower-*.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
Simplified98.8%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6458.2
Simplified58.2%
Final simplification80.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5))) t_0)))))
(if (<= x -0.31)
t_1
(if (<= x 0.1)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(fma
x
(*
(* x (* (sqrt 2.0) x))
(fma (* x x) 0.008333333333333333 -0.16666666666666666))
(* (sqrt 2.0) (fma -0.0625 (sin y) x))))
(fma -0.5 (* x x) (- 1.0 (cos y)))))
(* 3.0 (+ t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
t_1))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0));
double tmp;
if (x <= -0.31) {
tmp = t_1;
} else if (x <= 0.1) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * fma(x, ((x * (sqrt(2.0) * x)) * fma((x * x), 0.008333333333333333, -0.16666666666666666)), (sqrt(2.0) * fma(-0.0625, sin(y), x)))) * fma(-0.5, (x * x), (1.0 - cos(y))))) / (3.0 * (t_0 + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0))) tmp = 0.0 if (x <= -0.31) tmp = t_1; elseif (x <= 0.1) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * fma(x, Float64(Float64(x * Float64(sqrt(2.0) * x)) * fma(Float64(x * x), 0.008333333333333333, -0.16666666666666666)), Float64(sqrt(2.0) * fma(-0.0625, sin(y), x)))) * fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$1, If[LessEqual[x, 0.1], N[(N[(2.0 + N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(x * N[(N[(x * N[(N[Sqrt[2.0], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.008333333333333333 + -0.16666666666666666), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + t\_0\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.1:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \mathsf{fma}\left(x, \left(x \cdot \left(\sqrt{2} \cdot x\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.008333333333333333, -0.16666666666666666\right), \sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right) \cdot \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right)}{3 \cdot \left(t\_0 + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.10000000000000001 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.5
Simplified56.5%
if -0.309999999999999998 < x < 0.10000000000000001Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Simplified98.7%
Final simplification80.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5))) t_0)))))
(if (<= x -0.31)
t_1
(if (<= x 0.1)
(/
(+
2.0
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))))
(*
3.0
(+
t_0
(+
1.0
(*
(+ (sqrt 5.0) -1.0)
(fma (* x x) (fma (* x x) 0.020833333333333332 -0.25) 0.5))))))
t_1))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0));
double tmp;
if (x <= -0.31) {
tmp = t_1;
} else if (x <= 0.1) {
tmp = (2.0 + (fma(-0.5, (x * x), (1.0 - cos(y))) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))))) / (3.0 * (t_0 + (1.0 + ((sqrt(5.0) + -1.0) * fma((x * x), fma((x * x), 0.020833333333333332, -0.25), 0.5)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0))) tmp = 0.0 if (x <= -0.31) tmp = t_1; elseif (x <= 0.1) tmp = Float64(Float64(2.0 + Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * fma(Float64(x * x), fma(Float64(x * x), 0.020833333333333332, -0.25), 0.5)))))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$1, If[LessEqual[x, 0.1], N[(N[(2.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.020833333333333332 + -0.25), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + t\_0\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.1:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right)}{3 \cdot \left(t\_0 + \left(1 + \left(\sqrt{5} + -1\right) \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.020833333333333332, -0.25\right), 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.10000000000000001 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.5
Simplified56.5%
if -0.309999999999999998 < x < 0.10000000000000001Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
+-commutativeN/A
Simplified98.7%
Final simplification80.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5))) t_0)))))
(if (<= x -0.31)
t_1
(if (<= x 0.092)
(/
(+
2.0
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(*
(- (sin y) (/ (sin x) 16.0))
(*
(sqrt 2.0)
(fma
-0.0625
(sin y)
(fma x (* (* x x) -0.16666666666666666) x))))))
(* 3.0 (+ t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
t_1))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0));
double tmp;
if (x <= -0.31) {
tmp = t_1;
} else if (x <= 0.092) {
tmp = (2.0 + (fma(-0.5, (x * x), (1.0 - cos(y))) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, sin(y), fma(x, ((x * x) * -0.16666666666666666), x)))))) / (3.0 * (t_0 + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0))) tmp = 0.0 if (x <= -0.31) tmp = t_1; elseif (x <= 0.092) tmp = Float64(Float64(2.0 + Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, sin(y), fma(x, Float64(Float64(x * x) * -0.16666666666666666), x)))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$1, If[LessEqual[x, 0.092], N[(N[(2.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[(x * N[(N[(x * x), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + t\_0\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.092:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot -0.16666666666666666, x\right)\right)\right)\right)}{3 \cdot \left(t\_0 + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.091999999999999998 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.5
Simplified56.5%
if -0.309999999999999998 < x < 0.091999999999999998Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
associate-*r*N/A
*-commutativeN/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
distribute-lft-outN/A
lower-*.f64N/A
Simplified98.6%
Final simplification80.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (fma 0.5 (sqrt 5.0) -0.5))) t_0)))))
(if (<= x -0.31)
t_1
(if (<= x 0.05)
(/
(+
2.0
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(*
(- (sin y) (/ (sin x) 16.0))
(fma
x
(sqrt 2.0)
(*
(sqrt 2.0)
(fma x (* (* x x) -0.16666666666666666) (* -0.0625 (sin y))))))))
(*
3.0
(+ t_0 (+ 1.0 (* (+ (sqrt 5.0) -1.0) (fma (* x x) -0.25 0.5))))))
t_1))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))))) / (3.0 * ((1.0 + (cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0));
double tmp;
if (x <= -0.31) {
tmp = t_1;
} else if (x <= 0.05) {
tmp = (2.0 + (fma(-0.5, (x * x), (1.0 - cos(y))) * ((sin(y) - (sin(x) / 16.0)) * fma(x, sqrt(2.0), (sqrt(2.0) * fma(x, ((x * x) * -0.16666666666666666), (-0.0625 * sin(y)))))))) / (3.0 * (t_0 + (1.0 + ((sqrt(5.0) + -1.0) * fma((x * x), -0.25, 0.5)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * fma(0.5, sqrt(5.0), -0.5))) + t_0))) tmp = 0.0 if (x <= -0.31) tmp = t_1; elseif (x <= 0.05) tmp = Float64(Float64(2.0 + Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * fma(x, sqrt(2.0), Float64(sqrt(2.0) * fma(x, Float64(Float64(x * x) * -0.16666666666666666), Float64(-0.0625 * sin(y)))))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(Float64(sqrt(5.0) + -1.0) * fma(Float64(x * x), -0.25, 0.5)))))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$1, If[LessEqual[x, 0.05], N[(N[(2.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(x * N[Sqrt[2.0], $MachinePrecision] + N[(N[Sqrt[2.0], $MachinePrecision] * N[(x * N[(N[(x * x), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * -0.25 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right) + t\_0\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \mathsf{fma}\left(x, \sqrt{2}, \sqrt{2} \cdot \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot -0.16666666666666666, -0.0625 \cdot \sin y\right)\right)\right)}{3 \cdot \left(t\_0 + \left(1 + \left(\sqrt{5} + -1\right) \cdot \mathsf{fma}\left(x \cdot x, -0.25, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.5
Simplified56.5%
if -0.309999999999999998 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6498.4
Simplified98.4%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-+l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
Simplified98.4%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_2
(/
(+
2.0
(* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
(* 3.0 (+ t_1 (+ 1.0 (* (cos x) (/ t_0 2.0))))))))
(if (<= x -0.31)
t_2
(if (<= x 0.05)
(/
(+
2.0
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(*
(- (sin y) (/ (sin x) 16.0))
(fma
x
(sqrt 2.0)
(*
(sqrt 2.0)
(fma x (* (* x x) -0.16666666666666666) (* -0.0625 (sin y))))))))
(* 3.0 (+ t_1 (+ 1.0 (* t_0 (fma (* x x) -0.25 0.5))))))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_2 = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / (3.0 * (t_1 + (1.0 + (cos(x) * (t_0 / 2.0)))));
double tmp;
if (x <= -0.31) {
tmp = t_2;
} else if (x <= 0.05) {
tmp = (2.0 + (fma(-0.5, (x * x), (1.0 - cos(y))) * ((sin(y) - (sin(x) / 16.0)) * fma(x, sqrt(2.0), (sqrt(2.0) * fma(x, ((x * x) * -0.16666666666666666), (-0.0625 * sin(y)))))))) / (3.0 * (t_1 + (1.0 + (t_0 * fma((x * x), -0.25, 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_2 = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(t_1 + Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0)))))) tmp = 0.0 if (x <= -0.31) tmp = t_2; elseif (x <= 0.05) tmp = Float64(Float64(2.0 + Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * fma(x, sqrt(2.0), Float64(sqrt(2.0) * fma(x, Float64(Float64(x * x) * -0.16666666666666666), Float64(-0.0625 * sin(y)))))))) / Float64(3.0 * Float64(t_1 + Float64(1.0 + Float64(t_0 * fma(Float64(x * x), -0.25, 0.5)))))); 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[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$2, If[LessEqual[x, 0.05], N[(N[(2.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(x * N[Sqrt[2.0], $MachinePrecision] + N[(N[Sqrt[2.0], $MachinePrecision] * N[(x * N[(N[(x * x), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(1.0 + N[(t$95$0 * N[(N[(x * x), $MachinePrecision] * -0.25 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_2 := \frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(t\_1 + \left(1 + \cos x \cdot \frac{t\_0}{2}\right)\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \mathsf{fma}\left(x, \sqrt{2}, \sqrt{2} \cdot \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot -0.16666666666666666, -0.0625 \cdot \sin y\right)\right)\right)}{3 \cdot \left(t\_1 + \left(1 + t\_0 \cdot \mathsf{fma}\left(x \cdot x, -0.25, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6456.3
Simplified56.3%
if -0.309999999999999998 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6498.4
Simplified98.4%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-+l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
Simplified98.4%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))
(t_1
(/
(+
2.0
(* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
t_0)))
(if (<= x -0.31)
t_1
(if (<= x 0.05)
(/
(+
2.0
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(*
(sqrt 2.0)
(fma
(sin y)
(fma x 1.00390625 (* -0.0625 (sin y)))
(* x (* -0.0625 x))))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = 3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0))));
double t_1 = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / t_0;
double tmp;
if (x <= -0.31) {
tmp = t_1;
} else if (x <= 0.05) {
tmp = (2.0 + (fma(-0.5, (x * x), (1.0 - cos(y))) * (sqrt(2.0) * fma(sin(y), fma(x, 1.00390625, (-0.0625 * sin(y))), (x * (-0.0625 * x)))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0))))) t_1 = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / t_0) tmp = 0.0 if (x <= -0.31) tmp = t_1; elseif (x <= 0.05) tmp = Float64(Float64(2.0 + Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(sqrt(2.0) * fma(sin(y), fma(x, 1.00390625, Float64(-0.0625 * sin(y))), Float64(x * Float64(-0.0625 * x)))))) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$1, If[LessEqual[x, 0.05], N[(N[(2.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(x * 1.00390625 + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x * N[(-0.0625 * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)\\
t_1 := \frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(\sin y, \mathsf{fma}\left(x, 1.00390625, -0.0625 \cdot \sin y\right), x \cdot \left(-0.0625 \cdot x\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6456.3
Simplified56.3%
if -0.309999999999999998 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
Simplified98.2%
Final simplification79.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_2
(/
(+
2.0
(* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
(* 3.0 (+ t_1 (+ 1.0 (* (cos x) (/ t_0 2.0))))))))
(if (<= x -0.31)
t_2
(if (<= x 0.05)
(/
(+
2.0
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 (sin y) x)))))
(* 3.0 (+ t_1 (+ 1.0 (* t_0 (fma (* x x) -0.25 0.5))))))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_2 = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / (3.0 * (t_1 + (1.0 + (cos(x) * (t_0 / 2.0)))));
double tmp;
if (x <= -0.31) {
tmp = t_2;
} else if (x <= 0.05) {
tmp = (2.0 + (fma(-0.5, (x * x), (1.0 - cos(y))) * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, sin(y), x))))) / (3.0 * (t_1 + (1.0 + (t_0 * fma((x * x), -0.25, 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_2 = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(t_1 + Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0)))))) tmp = 0.0 if (x <= -0.31) tmp = t_2; elseif (x <= 0.05) tmp = Float64(Float64(2.0 + Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))))) / Float64(3.0 * Float64(t_1 + Float64(1.0 + Float64(t_0 * fma(Float64(x * x), -0.25, 0.5)))))); 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[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$2, If[LessEqual[x, 0.05], N[(N[(2.0 + N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(1.0 + N[(t$95$0 * N[(N[(x * x), $MachinePrecision] * -0.25 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_2 := \frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(t\_1 + \left(1 + \cos x \cdot \frac{t\_0}{2}\right)\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right)}{3 \cdot \left(t\_1 + \left(1 + t\_0 \cdot \mathsf{fma}\left(x \cdot x, -0.25, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6456.3
Simplified56.3%
if -0.309999999999999998 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6498.4
Simplified98.4%
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.f6498.1
Simplified98.1%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_2
(/
(+
2.0
(* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
(* 3.0 (+ t_1 (+ 1.0 (* (cos x) (/ t_0 2.0))))))))
(if (<= x -0.31)
t_2
(if (<= x 0.05)
(/
(+
2.0
(*
(- (cos x) (cos y))
(*
(sqrt 2.0)
(fma
(sin y)
(fma -0.0625 (sin y) (* x 1.00390625))
(* -0.0625 (* x x))))))
(* 3.0 (+ t_1 (+ 1.0 (* t_0 (fma (* x x) -0.25 0.5))))))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_2 = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / (3.0 * (t_1 + (1.0 + (cos(x) * (t_0 / 2.0)))));
double tmp;
if (x <= -0.31) {
tmp = t_2;
} else if (x <= 0.05) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * fma(sin(y), fma(-0.0625, sin(y), (x * 1.00390625)), (-0.0625 * (x * x)))))) / (3.0 * (t_1 + (1.0 + (t_0 * fma((x * x), -0.25, 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_2 = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(t_1 + Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0)))))) tmp = 0.0 if (x <= -0.31) tmp = t_2; elseif (x <= 0.05) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * fma(sin(y), fma(-0.0625, sin(y), Float64(x * 1.00390625)), Float64(-0.0625 * Float64(x * x)))))) / Float64(3.0 * Float64(t_1 + Float64(1.0 + Float64(t_0 * fma(Float64(x * x), -0.25, 0.5)))))); 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[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$2, If[LessEqual[x, 0.05], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[(x * 1.00390625), $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$1 + N[(1.0 + N[(t$95$0 * N[(N[(x * x), $MachinePrecision] * -0.25 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_2 := \frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(t\_1 + \left(1 + \cos x \cdot \frac{t\_0}{2}\right)\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(\sin y, \mathsf{fma}\left(-0.0625, \sin y, x \cdot 1.00390625\right), -0.0625 \cdot \left(x \cdot x\right)\right)\right)}{3 \cdot \left(t\_1 + \left(1 + t\_0 \cdot \mathsf{fma}\left(x \cdot x, -0.25, 0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6456.3
Simplified56.3%
if -0.309999999999999998 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified98.2%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6498.1
Simplified98.1%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(+
2.0
(* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
(*
3.0
(+ (* (cos y) (/ t_1 2.0)) (+ 1.0 (* (cos x) (/ t_0 2.0))))))))
(if (<= x -0.31)
t_2
(if (<= x 0.05)
(/
(*
0.3333333333333333
(fma
(sqrt 2.0)
(*
(fma -0.5 (* x x) (- 1.0 (cos y)))
(* (fma -0.0625 (sin y) x) (fma -0.0625 (sin x) (sin y))))
2.0))
(fma (cos y) (* 0.5 t_1) (fma (fma (* x x) -0.25 0.5) t_0 1.0)))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / (3.0 * ((cos(y) * (t_1 / 2.0)) + (1.0 + (cos(x) * (t_0 / 2.0)))));
double tmp;
if (x <= -0.31) {
tmp = t_2;
} else if (x <= 0.05) {
tmp = (0.3333333333333333 * fma(sqrt(2.0), (fma(-0.5, (x * x), (1.0 - cos(y))) * (fma(-0.0625, sin(y), x) * fma(-0.0625, sin(x), sin(y)))), 2.0)) / fma(cos(y), (0.5 * t_1), fma(fma((x * x), -0.25, 0.5), t_0, 1.0));
} 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(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(t_1 / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0)))))) tmp = 0.0 if (x <= -0.31) tmp = t_2; elseif (x <= 0.05) tmp = Float64(Float64(0.3333333333333333 * fma(sqrt(2.0), Float64(fma(-0.5, Float64(x * x), Float64(1.0 - cos(y))) * Float64(fma(-0.0625, sin(y), x) * fma(-0.0625, sin(x), sin(y)))), 2.0)) / fma(cos(y), Float64(0.5 * t_1), fma(fma(Float64(x * x), -0.25, 0.5), t_0, 1.0))); 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[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.31], t$95$2, If[LessEqual[x, 0.05], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.5 * N[(x * x), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[y], $MachinePrecision] * N[(0.5 * t$95$1), $MachinePrecision] + N[(N[(N[(x * x), $MachinePrecision] * -0.25 + 0.5), $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(\cos y \cdot \frac{t\_1}{2} + \left(1 + \cos x \cdot \frac{t\_0}{2}\right)\right)}\\
\mathbf{if}\;x \leq -0.31:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{0.3333333333333333 \cdot \mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(-0.5, x \cdot x, 1 - \cos y\right) \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(\cos y, 0.5 \cdot t\_1, \mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, -0.25, 0.5\right), t\_0, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.309999999999999998 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.5
Simplified56.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6456.3
Simplified56.3%
if -0.309999999999999998 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6498.7
Simplified98.7%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6498.4
Simplified98.4%
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.f6498.1
Simplified98.1%
Taylor expanded in y around inf
Simplified98.1%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0)))
(t_1
(/
(+
2.0
(* (* (sqrt 2.0) (* -0.0625 (pow (sin x) 2.0))) (+ (cos x) -1.0)))
(* 3.0 (+ t_0 (+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))))
(if (<= x -6.1e-5)
t_1
(if (<= x 0.05)
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (sqrt 2.0) (* (sin y) (fma x 1.00390625 (* -0.0625 (sin y)))))))
(* 3.0 (+ t_0 (+ 1.0 (fma 0.5 (sqrt 5.0) -0.5)))))
t_1))))
double code(double x, double y) {
double t_0 = cos(y) * ((3.0 - sqrt(5.0)) / 2.0);
double t_1 = (2.0 + ((sqrt(2.0) * (-0.0625 * pow(sin(x), 2.0))) * (cos(x) + -1.0))) / (3.0 * (t_0 + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
double tmp;
if (x <= -6.1e-5) {
tmp = t_1;
} else if (x <= 0.05) {
tmp = (2.0 + ((cos(x) - cos(y)) * (sqrt(2.0) * (sin(y) * fma(x, 1.00390625, (-0.0625 * sin(y))))))) / (3.0 * (t_0 + (1.0 + fma(0.5, sqrt(5.0), -0.5))));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) t_1 = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(-0.0625 * (sin(x) ^ 2.0))) * Float64(cos(x) + -1.0))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))) tmp = 0.0 if (x <= -6.1e-5) tmp = t_1; elseif (x <= 0.05) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(sqrt(2.0) * Float64(sin(y) * fma(x, 1.00390625, Float64(-0.0625 * sin(y))))))) / Float64(3.0 * Float64(t_0 + Float64(1.0 + fma(0.5, sqrt(5.0), -0.5))))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -6.1e-5], t$95$1, If[LessEqual[x, 0.05], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(x * 1.00390625 + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(t$95$0 + N[(1.0 + N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos y \cdot \frac{3 - \sqrt{5}}{2}\\
t_1 := \frac{2 + \left(\sqrt{2} \cdot \left(-0.0625 \cdot {\sin x}^{2}\right)\right) \cdot \left(\cos x + -1\right)}{3 \cdot \left(t\_0 + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{if}\;x \leq -6.1 \cdot 10^{-5}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.05:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\sqrt{2} \cdot \left(\sin y \cdot \mathsf{fma}\left(x, 1.00390625, -0.0625 \cdot \sin y\right)\right)\right)}{3 \cdot \left(t\_0 + \left(1 + \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -6.09999999999999987e-5 or 0.050000000000000003 < x Initial program 98.9%
Taylor expanded in y around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6456.3
Simplified56.3%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6456.2
Simplified56.2%
if -6.09999999999999987e-5 < x < 0.050000000000000003Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified99.1%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6498.8
Simplified98.8%
Taylor expanded in x around 0
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
distribute-rgt-inN/A
distribute-lft-inN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
Simplified98.9%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(/
(+ 2.0 (* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (fma 0.5 (sqrt 5.0) -0.5))))))
double code(double x, double y) {
return (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + fma(0.5, sqrt(5.0), -0.5))));
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + fma(0.5, sqrt(5.0), -0.5))))) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(0.5 * N[Sqrt[5.0], $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \mathsf{fma}\left(0.5, \sqrt{5}, -0.5\right)\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified56.7%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.3
Simplified56.3%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6463.5
Simplified63.5%
Final simplification63.5%
(FPCore (x y) :precision binary64 (/ (fma 0.3333333333333333 (* (* (sqrt 2.0) (pow (sin y) 2.0)) (* -0.0625 (- 1.0 (cos y)))) 0.6666666666666666) (fma 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (+ (sqrt 5.0) -1.0)) 1.0)))
double code(double x, double y) {
return fma(0.3333333333333333, ((sqrt(2.0) * pow(sin(y), 2.0)) * (-0.0625 * (1.0 - cos(y)))), 0.6666666666666666) / fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), (sqrt(5.0) + -1.0)), 1.0);
}
function code(x, y) return Float64(fma(0.3333333333333333, Float64(Float64(sqrt(2.0) * (sin(y) ^ 2.0)) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 0.6666666666666666) / fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(sqrt(5.0) + -1.0)), 1.0)) end
code[x_, y_] := N[(N[(0.3333333333333333 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.3333333333333333, \left(\sqrt{2} \cdot {\sin y}^{2}\right) \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5} + -1\right), 1\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6457.0
Simplified57.0%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6456.3
Simplified56.3%
Taylor expanded in x around 0
associate-*r/N/A
lower-/.f64N/A
Simplified63.4%
Final simplification63.4%
(FPCore (x y) :precision binary64 (/ (fma 0.3333333333333333 (* (* (sqrt 2.0) (pow (sin y) 2.0)) (* -0.0625 (- 1.0 (cos y)))) 0.6666666666666666) (fma 0.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (sqrt 5.0)) 0.5)))
double code(double x, double y) {
return fma(0.3333333333333333, ((sqrt(2.0) * pow(sin(y), 2.0)) * (-0.0625 * (1.0 - cos(y)))), 0.6666666666666666) / fma(0.5, fma(cos(y), (3.0 - sqrt(5.0)), sqrt(5.0)), 0.5);
}
function code(x, y) return Float64(fma(0.3333333333333333, Float64(Float64(sqrt(2.0) * (sin(y) ^ 2.0)) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 0.6666666666666666) / fma(0.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), sqrt(5.0)), 0.5)) end
code[x_, y_] := N[(N[(0.3333333333333333 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.3333333333333333, \left(\sqrt{2} \cdot {\sin y}^{2}\right) \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \sqrt{5}\right), 0.5\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified56.7%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.3
Simplified56.3%
Taylor expanded in x around 0
associate-*r/N/A
lower-/.f64N/A
Simplified63.4%
Final simplification63.4%
(FPCore (x y) :precision binary64 (/ (fma 0.3333333333333333 (* (* (sqrt 2.0) (pow (sin y) 2.0)) (* -0.0625 (- 1.0 (cos y)))) 0.6666666666666666) (fma 0.5 2.0 1.0)))
double code(double x, double y) {
return fma(0.3333333333333333, ((sqrt(2.0) * pow(sin(y), 2.0)) * (-0.0625 * (1.0 - cos(y)))), 0.6666666666666666) / fma(0.5, 2.0, 1.0);
}
function code(x, y) return Float64(fma(0.3333333333333333, Float64(Float64(sqrt(2.0) * (sin(y) ^ 2.0)) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 0.6666666666666666) / fma(0.5, 2.0, 1.0)) end
code[x_, y_] := N[(N[(0.3333333333333333 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * 2.0 + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.3333333333333333, \left(\sqrt{2} \cdot {\sin y}^{2}\right) \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, 2, 1\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6457.0
Simplified57.0%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6456.3
Simplified56.3%
Taylor expanded in x around 0
associate-*r/N/A
lower-/.f64N/A
Simplified63.4%
Taylor expanded in y around 0
Simplified44.0%
Final simplification44.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(/
(fma
0.3333333333333333
(* (* x x) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (+ (sqrt 5.0) t_0) 0.5))))
(if (<= y -7.1)
t_1
(if (<= y 3.2)
(/
(fma
0.3333333333333333
(* (* -0.0625 (- 1.0 (cos y))) (* (sqrt 2.0) (* y y)))
0.6666666666666666)
(fma 0.5 (fma (cos y) t_0 (+ (sqrt 5.0) -1.0)) 1.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma(0.3333333333333333, ((x * x) * (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, (sqrt(5.0) + t_0), 0.5);
double tmp;
if (y <= -7.1) {
tmp = t_1;
} else if (y <= 3.2) {
tmp = fma(0.3333333333333333, ((-0.0625 * (1.0 - cos(y))) * (sqrt(2.0) * (y * y))), 0.6666666666666666) / fma(0.5, fma(cos(y), t_0, (sqrt(5.0) + -1.0)), 1.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(fma(0.3333333333333333, Float64(Float64(x * x) * Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, Float64(sqrt(5.0) + t_0), 0.5)) tmp = 0.0 if (y <= -7.1) tmp = t_1; elseif (y <= 3.2) tmp = Float64(fma(0.3333333333333333, Float64(Float64(-0.0625 * Float64(1.0 - cos(y))) * Float64(sqrt(2.0) * Float64(y * y))), 0.6666666666666666) / fma(0.5, fma(cos(y), t_0, Float64(sqrt(5.0) + -1.0)), 1.0)); 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[(0.3333333333333333 * N[(N[(x * x), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Sqrt[5.0], $MachinePrecision] + t$95$0), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -7.1], t$95$1, If[LessEqual[y, 3.2], N[(N[(0.3333333333333333 * N[(N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \frac{\mathsf{fma}\left(0.3333333333333333, \left(x \cdot x\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \sqrt{5} + t\_0, 0.5\right)}\\
\mathbf{if}\;y \leq -7.1:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 3.2:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \left(-0.0625 \cdot \left(1 - \cos y\right)\right) \cdot \left(\sqrt{2} \cdot \left(y \cdot y\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos y, t\_0, \sqrt{5} + -1\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -7.0999999999999996 or 3.2000000000000002 < y Initial program 99.0%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified52.0%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6451.6
Simplified51.6%
Taylor expanded in y around 0
associate-*r/N/A
lower-/.f64N/A
Simplified14.7%
if -7.0999999999999996 < y < 3.2000000000000002Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6461.6
Simplified61.6%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6460.1
Simplified60.1%
Taylor expanded in x around 0
associate-*r/N/A
lower-/.f64N/A
Simplified67.9%
Taylor expanded in y around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sqrt.f6468.0
Simplified68.0%
Final simplification40.7%
(FPCore (x y) :precision binary64 (/ (fma 0.3333333333333333 (* (* x x) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))) 0.6666666666666666) (fma 0.5 (+ (sqrt 5.0) (- 3.0 (sqrt 5.0))) 0.5)))
double code(double x, double y) {
return fma(0.3333333333333333, ((x * x) * (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, (sqrt(5.0) + (3.0 - sqrt(5.0))), 0.5);
}
function code(x, y) return Float64(fma(0.3333333333333333, Float64(Float64(x * x) * Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, Float64(sqrt(5.0) + Float64(3.0 - sqrt(5.0))), 0.5)) end
code[x_, y_] := N[(N[(0.3333333333333333 * N[(N[(x * x), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.3333333333333333, \left(x \cdot x\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \sqrt{5} + \left(3 - \sqrt{5}\right), 0.5\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified56.7%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.3
Simplified56.3%
Taylor expanded in y around 0
associate-*r/N/A
lower-/.f64N/A
Simplified37.1%
(FPCore (x y) :precision binary64 (/ (fma 0.3333333333333333 (* (sqrt 2.0) (* 0.03125 (* (* x x) (* x x)))) 0.6666666666666666) (fma 0.5 (+ (sqrt 5.0) (- 3.0 (sqrt 5.0))) 0.5)))
double code(double x, double y) {
return fma(0.3333333333333333, (sqrt(2.0) * (0.03125 * ((x * x) * (x * x)))), 0.6666666666666666) / fma(0.5, (sqrt(5.0) + (3.0 - sqrt(5.0))), 0.5);
}
function code(x, y) return Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64(0.03125 * Float64(Float64(x * x) * Float64(x * x)))), 0.6666666666666666) / fma(0.5, Float64(sqrt(5.0) + Float64(3.0 - sqrt(5.0))), 0.5)) end
code[x_, y_] := N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.03125 * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left(0.03125 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \sqrt{5} + \left(3 - \sqrt{5}\right), 0.5\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
Simplified56.7%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f6456.3
Simplified56.3%
Taylor expanded in y around 0
associate-*r/N/A
lower-/.f64N/A
Simplified37.1%
Taylor expanded in x around 0
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6436.8
Simplified36.8%
herbie shell --seed 2024215
(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))))))