
(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 35 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(- (cos x) (cos y))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
(fma
1.5
(fma (+ (sqrt 5.0) -1.0) (cos x) (* (cos y) (- 3.0 (sqrt 5.0))))
3.0)))
double code(double x, double y) {
return fma((cos(x) - cos(y)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma((sqrt(5.0) + -1.0), cos(x), (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
}
function code(x, y) return Float64(fma(Float64(cos(x) - cos(y)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(Float64(sqrt(5.0) + -1.0), cos(x), Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\cos x - \cos y, \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\sqrt{5} + -1, \cos x, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(- (cos x) (cos y))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0)))
double code(double x, double y) {
return fma((cos(x) - cos(y)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(fma(Float64(cos(x) - cos(y)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\cos x - \cos y, \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))))
t_0)))
(if (<= x -0.55)
t_1
(if (<= x 0.55)
(/
(fma
(-
(fma
(* x x)
(fma
x
(* x (fma (* x x) -0.001388888888888889 0.041666666666666664))
-0.5)
1.0)
(cos y))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))))) / t_0;
double tmp;
if (x <= -0.55) {
tmp = t_1;
} else if (x <= 0.55) {
tmp = fma((fma((x * x), fma(x, (x * fma((x * x), -0.001388888888888889, 0.041666666666666664)), -0.5), 1.0) - cos(y)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / t_0) tmp = 0.0 if (x <= -0.55) tmp = t_1; elseif (x <= 0.55) tmp = Float64(fma(Float64(fma(Float64(x * x), fma(x, Float64(x * fma(Float64(x * x), -0.001388888888888889, 0.041666666666666664)), -0.5), 1.0) - cos(y)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.55], t$95$1, If[LessEqual[x, 0.55], N[(N[(N[(N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * -0.001388888888888889 + 0.041666666666666664), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.55:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.55:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, -0.001388888888888889, 0.041666666666666664\right), -0.5\right), 1\right) - \cos y, \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.55000000000000004 or 0.55000000000000004 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6465.4
Applied rewrites65.4%
if -0.55000000000000004 < x < 0.55000000000000004Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
Applied rewrites99.6%
Final simplification82.7%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))))
t_0)))
(if (<= x -0.235)
t_1
(if (<= x 0.185)
(/
(fma
(- (fma (* x x) (fma x (* x 0.041666666666666664) -0.5) 1.0) (cos y))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))))) / t_0;
double tmp;
if (x <= -0.235) {
tmp = t_1;
} else if (x <= 0.185) {
tmp = fma((fma((x * x), fma(x, (x * 0.041666666666666664), -0.5), 1.0) - cos(y)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / t_0) tmp = 0.0 if (x <= -0.235) tmp = t_1; elseif (x <= 0.185) tmp = Float64(fma(Float64(fma(Float64(x * x), fma(x, Float64(x * 0.041666666666666664), -0.5), 1.0) - cos(y)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.235], t$95$1, If[LessEqual[x, 0.185], N[(N[(N[(N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * 0.041666666666666664), $MachinePrecision] + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.235:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.185:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot 0.041666666666666664, -0.5\right), 1\right) - \cos y, \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.23499999999999999 or 0.185 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6465.4
Applied rewrites65.4%
if -0.23499999999999999 < x < 0.185Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
Applied rewrites99.5%
Final simplification82.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (fma (sin y) -0.0625 (sin x)) (* (sin y) (sqrt 2.0)))))
t_0)))
(if (<= y -0.18)
t_1
(if (<= y 0.25)
(/
(fma
(+ (cos x) (fma y (* y (fma (* y y) -0.041666666666666664 0.5)) -1.0))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (fma(sin(y), -0.0625, sin(x)) * (sin(y) * sqrt(2.0))))) / t_0;
double tmp;
if (y <= -0.18) {
tmp = t_1;
} else if (y <= 0.25) {
tmp = fma((cos(x) + fma(y, (y * fma((y * y), -0.041666666666666664, 0.5)), -1.0)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * sqrt(2.0))))) / t_0) tmp = 0.0 if (y <= -0.18) tmp = t_1; elseif (y <= 0.25) tmp = Float64(fma(Float64(cos(x) + fma(y, Float64(y * fma(Float64(y * y), -0.041666666666666664, 0.5)), -1.0)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $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] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.18], t$95$1, If[LessEqual[y, 0.25], N[(N[(N[(N[Cos[x], $MachinePrecision] + N[(y * N[(y * N[(N[(y * y), $MachinePrecision] * -0.041666666666666664 + 0.5), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \sqrt{2}\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.18:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.25:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x + \mathsf{fma}\left(y, y \cdot \mathsf{fma}\left(y \cdot y, -0.041666666666666664, 0.5\right), -1\right), \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.17999999999999999 or 0.25 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
if -0.17999999999999999 < y < 0.25Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites99.5%
Final simplification82.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))))
t_0)))
(if (<= x -0.031)
t_1
(if (<= x 0.086)
(/
(fma
(fma x (* x -0.5) (- 1.0 (cos y)))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))))) / t_0;
double tmp;
if (x <= -0.031) {
tmp = t_1;
} else if (x <= 0.086) {
tmp = fma(fma(x, (x * -0.5), (1.0 - cos(y))), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / t_0) tmp = 0.0 if (x <= -0.031) tmp = t_1; elseif (x <= 0.086) tmp = Float64(fma(fma(x, Float64(x * -0.5), Float64(1.0 - cos(y))), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[x, -0.031], t$95$1, If[LessEqual[x, 0.086], N[(N[(N[(x * N[(x * -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{t\_0}\\
\mathbf{if}\;x \leq -0.031:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.086:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot -0.5, 1 - \cos y\right), \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.031 or 0.085999999999999993 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6465.4
Applied rewrites65.4%
if -0.031 < x < 0.085999999999999993Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
Applied rewrites99.4%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (fma (sin y) -0.0625 (sin x)) (* (sin y) (sqrt 2.0)))))
t_0)))
(if (<= y -0.062)
t_1
(if (<= y 0.106)
(/
(fma
(+ (cos x) (fma y (* y 0.5) -1.0))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (fma(sin(y), -0.0625, sin(x)) * (sin(y) * sqrt(2.0))))) / t_0;
double tmp;
if (y <= -0.062) {
tmp = t_1;
} else if (y <= 0.106) {
tmp = fma((cos(x) + fma(y, (y * 0.5), -1.0)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * sqrt(2.0))))) / t_0) tmp = 0.0 if (y <= -0.062) tmp = t_1; elseif (y <= 0.106) tmp = Float64(fma(Float64(cos(x) + fma(y, Float64(y * 0.5), -1.0)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $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] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.062], t$95$1, If[LessEqual[y, 0.106], N[(N[(N[(N[Cos[x], $MachinePrecision] + N[(y * N[(y * 0.5), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \sqrt{2}\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.062:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.106:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x + \mathsf{fma}\left(y, y \cdot 0.5, -1\right), \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.062 or 0.105999999999999997 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
if -0.062 < y < 0.105999999999999997Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites99.4%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1 (- (cos x) (cos y)))
(t_2
(/
(+
2.0
(* t_1 (* (fma (sin y) -0.0625 (sin x)) (* (sin y) (sqrt 2.0)))))
t_0)))
(if (<= y -0.061)
t_2
(if (<= y 0.0295)
(/
(+
2.0
(*
t_1
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 y (sin x))))))
t_0)
t_2))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = cos(x) - cos(y);
double t_2 = (2.0 + (t_1 * (fma(sin(y), -0.0625, sin(x)) * (sin(y) * sqrt(2.0))))) / t_0;
double tmp;
if (y <= -0.061) {
tmp = t_2;
} else if (y <= 0.0295) {
tmp = (2.0 + (t_1 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, y, sin(x)))))) / t_0;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(Float64(2.0 + Float64(t_1 * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * sqrt(2.0))))) / t_0) tmp = 0.0 if (y <= -0.061) tmp = t_2; elseif (y <= 0.0295) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, y, sin(x)))))) / t_0); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.061], t$95$2, If[LessEqual[y, 0.0295], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \cos x - \cos y\\
t_2 := \frac{2 + t\_1 \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \sqrt{2}\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.061:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 0.0295:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, y, \sin x\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -0.060999999999999999 or 0.029499999999999998 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
if -0.060999999999999999 < y < 0.029499999999999998Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_2
(/
(+
2.0
(* t_0 (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))))
t_1)))
(if (<= x -0.031)
t_2
(if (<= x 0.086)
(/
(+
2.0
(*
t_0
(*
(fma (sin y) -0.0625 (sin x))
(* (sqrt 2.0) (fma -0.0625 x (sin y))))))
t_1)
t_2))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_2 = (2.0 + (t_0 * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))))) / t_1;
double tmp;
if (x <= -0.031) {
tmp = t_2;
} else if (x <= 0.086) {
tmp = (2.0 + (t_0 * (fma(sin(y), -0.0625, sin(x)) * (sqrt(2.0) * fma(-0.0625, x, sin(y)))))) / t_1;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_2 = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / t_1) tmp = 0.0 if (x <= -0.031) tmp = t_2; elseif (x <= 0.086) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sqrt(2.0) * fma(-0.0625, x, sin(y)))))) / t_1); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 + N[(t$95$0 * N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]}, If[LessEqual[x, -0.031], t$95$2, If[LessEqual[x, 0.086], N[(N[(2.0 + N[(t$95$0 * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * x + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_2 := \frac{2 + t\_0 \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{t\_1}\\
\mathbf{if}\;x \leq -0.031:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.086:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, x, \sin y\right)\right)\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.031 or 0.085999999999999993 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6465.4
Applied rewrites65.4%
if -0.031 < x < 0.085999999999999993Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.6%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1 (- (cos x) (cos y)))
(t_2 (fma (sin y) -0.0625 (sin x)))
(t_3 (/ (+ 2.0 (* t_1 (* t_2 (* (sin y) (sqrt 2.0))))) t_0)))
(if (<= y -0.05)
t_3
(if (<= y 0.0245)
(/ (+ 2.0 (* t_1 (* t_2 (* (sqrt 2.0) (fma -0.0625 (sin x) y))))) t_0)
t_3))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = cos(x) - cos(y);
double t_2 = fma(sin(y), -0.0625, sin(x));
double t_3 = (2.0 + (t_1 * (t_2 * (sin(y) * sqrt(2.0))))) / t_0;
double tmp;
if (y <= -0.05) {
tmp = t_3;
} else if (y <= 0.0245) {
tmp = (2.0 + (t_1 * (t_2 * (sqrt(2.0) * fma(-0.0625, sin(x), y))))) / t_0;
} else {
tmp = t_3;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(cos(x) - cos(y)) t_2 = fma(sin(y), -0.0625, sin(x)) t_3 = Float64(Float64(2.0 + Float64(t_1 * Float64(t_2 * Float64(sin(y) * sqrt(2.0))))) / t_0) tmp = 0.0 if (y <= -0.05) tmp = t_3; elseif (y <= 0.0245) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(t_2 * Float64(sqrt(2.0) * fma(-0.0625, sin(x), y))))) / t_0); else tmp = t_3; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 + N[(t$95$1 * N[(t$95$2 * N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.05], t$95$3, If[LessEqual[y, 0.0245], N[(N[(2.0 + N[(t$95$1 * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \cos x - \cos y\\
t_2 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_3 := \frac{2 + t\_1 \cdot \left(t\_2 \cdot \left(\sin y \cdot \sqrt{2}\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.05:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;y \leq 0.0245:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(t\_2 \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin x, y\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if y < -0.050000000000000003 or 0.024500000000000001 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
if -0.050000000000000003 < y < 0.024500000000000001Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.5%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
Final simplification82.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (fma (sin y) -0.0625 (sin x)) (* (sin y) (sqrt 2.0)))))
t_0)))
(if (<= y -0.0265)
t_1
(if (<= y 0.0047)
(/
(+
2.0
(*
(*
(fma -0.0625 (sin x) (sin y))
(* (fma -0.0625 (sin y) (sin x)) (sqrt 2.0)))
(+ (cos x) -1.0)))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (fma(sin(y), -0.0625, sin(x)) * (sin(y) * sqrt(2.0))))) / t_0;
double tmp;
if (y <= -0.0265) {
tmp = t_1;
} else if (y <= 0.0047) {
tmp = (2.0 + ((fma(-0.0625, sin(x), sin(y)) * (fma(-0.0625, sin(y), sin(x)) * sqrt(2.0))) * (cos(x) + -1.0))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * sqrt(2.0))))) / t_0) tmp = 0.0 if (y <= -0.0265) tmp = t_1; elseif (y <= 0.0047) tmp = Float64(Float64(2.0 + Float64(Float64(fma(-0.0625, sin(x), sin(y)) * Float64(fma(-0.0625, sin(y), sin(x)) * sqrt(2.0))) * Float64(cos(x) + -1.0))) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $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] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.0265], t$95$1, If[LessEqual[y, 0.0047], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \sqrt{2}\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.0265:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.0047:\\
\;\;\;\;\frac{2 + \left(\mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \sqrt{2}\right)\right) \cdot \left(\cos x + -1\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0264999999999999993 or 0.00470000000000000018 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
if -0.0264999999999999993 < y < 0.00470000000000000018Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
lift-*.f64N/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lower-*.f6499.2
lift-*.f64N/A
*-commutativeN/A
Applied rewrites99.2%
Final simplification82.4%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(+
2.0
(*
(- (cos x) (cos y))
(* (fma (sin y) -0.0625 (sin x)) (* (sin y) (sqrt 2.0)))))
t_0)))
(if (<= y -0.0265)
t_1
(if (<= y 0.0047)
(/
(+
2.0
(*
(+ (cos x) -1.0)
(fma
-0.0625
(* (sqrt 2.0) (pow (sin x) 2.0))
(* y (* (sqrt 2.0) (fma 1.00390625 (sin x) (* y -0.0625)))))))
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = (2.0 + ((cos(x) - cos(y)) * (fma(sin(y), -0.0625, sin(x)) * (sin(y) * sqrt(2.0))))) / t_0;
double tmp;
if (y <= -0.0265) {
tmp = t_1;
} else if (y <= 0.0047) {
tmp = (2.0 + ((cos(x) + -1.0) * fma(-0.0625, (sqrt(2.0) * pow(sin(x), 2.0)), (y * (sqrt(2.0) * fma(1.00390625, sin(x), (y * -0.0625))))))) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * sqrt(2.0))))) / t_0) tmp = 0.0 if (y <= -0.0265) tmp = t_1; elseif (y <= 0.0047) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) + -1.0) * fma(-0.0625, Float64(sqrt(2.0) * (sin(x) ^ 2.0)), Float64(y * Float64(sqrt(2.0) * fma(1.00390625, sin(x), Float64(y * -0.0625))))))) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $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] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.0265], t$95$1, If[LessEqual[y, 0.0047], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(-0.0625 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(y * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.00390625 * N[Sin[x], $MachinePrecision] + N[(y * -0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{2 + \left(\cos x - \cos y\right) \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \sqrt{2}\right)\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.0265:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 0.0047:\\
\;\;\;\;\frac{2 + \left(\cos x + -1\right) \cdot \mathsf{fma}\left(-0.0625, \sqrt{2} \cdot {\sin x}^{2}, y \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(1.00390625, \sin x, y \cdot -0.0625\right)\right)\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -0.0264999999999999993 or 0.00470000000000000018 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
lift-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
if -0.0264999999999999993 < y < 0.00470000000000000018Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
Taylor expanded in y around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
distribute-rgt1-inN/A
lower-fma.f64N/A
Applied rewrites99.1%
Final simplification82.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sqrt 5.0) 0.5 -0.5))
(t_1
(fma
(pow (sin x) 2.0)
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -0.0275)
(/ t_1 (* 3.0 (fma (* (cos y) t_2) 0.5 (fma (cos x) t_0 1.0))))
(if (<= x 0.086)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(- (fma -0.5 (* x x) 1.0) (cos y))))
(+
(fma (* x x) (fma (sqrt 5.0) -0.75 0.75) 3.0)
(fma 1.5 (fma (cos y) t_2 (sqrt 5.0)) -1.5)))
(/
t_1
(*
3.0
(+
(/
1.0
(/
(- 1.0 (* (cos x) t_0))
(fma
(fma 0.5 (cos (+ x x)) 0.5)
(- (- (fma (sqrt 5.0) -0.25 0.25)) (fma (sqrt 5.0) -0.25 1.25))
1.0)))
(* (cos y) (/ t_2 2.0)))))))))
double code(double x, double y) {
double t_0 = fma(sqrt(5.0), 0.5, -0.5);
double t_1 = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.0275) {
tmp = t_1 / (3.0 * fma((cos(y) * t_2), 0.5, fma(cos(x), t_0, 1.0)));
} else if (x <= 0.086) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * (fma(-0.5, (x * x), 1.0) - cos(y)))) / (fma((x * x), fma(sqrt(5.0), -0.75, 0.75), 3.0) + fma(1.5, fma(cos(y), t_2, sqrt(5.0)), -1.5));
} else {
tmp = t_1 / (3.0 * ((1.0 / ((1.0 - (cos(x) * t_0)) / fma(fma(0.5, cos((x + x)), 0.5), (-fma(sqrt(5.0), -0.25, 0.25) - fma(sqrt(5.0), -0.25, 1.25)), 1.0))) + (cos(y) * (t_2 / 2.0))));
}
return tmp;
}
function code(x, y) t_0 = fma(sqrt(5.0), 0.5, -0.5) t_1 = fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.0275) tmp = Float64(t_1 / Float64(3.0 * fma(Float64(cos(y) * t_2), 0.5, fma(cos(x), t_0, 1.0)))); elseif (x <= 0.086) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * Float64(fma(-0.5, Float64(x * x), 1.0) - cos(y)))) / Float64(fma(Float64(x * x), fma(sqrt(5.0), -0.75, 0.75), 3.0) + fma(1.5, fma(cos(y), t_2, sqrt(5.0)), -1.5))); else tmp = Float64(t_1 / Float64(3.0 * Float64(Float64(1.0 / Float64(Float64(1.0 - Float64(cos(x) * t_0)) / fma(fma(0.5, cos(Float64(x + x)), 0.5), Float64(Float64(-fma(sqrt(5.0), -0.25, 0.25)) - fma(sqrt(5.0), -0.25, 1.25)), 1.0))) + Float64(cos(y) * Float64(t_2 / 2.0))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.0275], N[(t$95$1 / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.086], N[(N[(2.0 + N[(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] * N[(N[(-0.5 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * -0.75 + 0.75), $MachinePrecision] + 3.0), $MachinePrecision] + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 * N[(N[(1.0 / N[(N[(1.0 - N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] / N[(N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[((-N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 0.25), $MachinePrecision]) - N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 1.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$2 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right)\\
t_1 := \mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.0275:\\
\;\;\;\;\frac{t\_1}{3 \cdot \mathsf{fma}\left(\cos y \cdot t\_2, 0.5, \mathsf{fma}\left(\cos x, t\_0, 1\right)\right)}\\
\mathbf{elif}\;x \leq 0.086:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \left(\mathsf{fma}\left(-0.5, x \cdot x, 1\right) - \cos y\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\sqrt{5}, -0.75, 0.75\right), 3\right) + \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_2, \sqrt{5}\right), -1.5\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{3 \cdot \left(\frac{1}{\frac{1 - \cos x \cdot t\_0}{\mathsf{fma}\left(\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right), \left(-\mathsf{fma}\left(\sqrt{5}, -0.25, 0.25\right)\right) - \mathsf{fma}\left(\sqrt{5}, -0.25, 1.25\right), 1\right)}} + \cos y \cdot \frac{t\_2}{2}\right)}\\
\end{array}
\end{array}
if x < -0.0275000000000000001Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.9%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f6460.9
lift-+.f64N/A
+-commutativeN/A
Applied rewrites61.0%
if -0.0275000000000000001 < x < 0.085999999999999993Initial program 99.6%
Taylor expanded in x around 0
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
if 0.085999999999999993 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites63.3%
Applied rewrites63.5%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (pow (sin x) 2.0)))
(if (<= x -0.0275)
(/
(fma t_1 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(*
3.0
(fma (* (cos y) t_0) 0.5 (fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0))))
(if (<= x 0.086)
(/
(+
2.0
(*
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0))))
(- (fma -0.5 (* x x) 1.0) (cos y))))
(+
(fma (* x x) (fma (sqrt 5.0) -0.75 0.75) 3.0)
(fma 1.5 (fma (cos y) t_0 (sqrt 5.0)) -1.5)))
(/
(fma (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 t_1)) 2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(x), 2.0);
double tmp;
if (x <= -0.0275) {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / (3.0 * fma((cos(y) * t_0), 0.5, fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)));
} else if (x <= 0.086) {
tmp = (2.0 + (((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * (sin(x) - (sin(y) / 16.0)))) * (fma(-0.5, (x * x), 1.0) - cos(y)))) / (fma((x * x), fma(sqrt(5.0), -0.75, 0.75), 3.0) + fma(1.5, fma(cos(y), t_0, sqrt(5.0)), -1.5));
} else {
tmp = fma((cos(x) - cos(y)), (sqrt(2.0) * (-0.0625 * t_1)), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -0.0275) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / Float64(3.0 * fma(Float64(cos(y) * t_0), 0.5, fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)))); elseif (x <= 0.086) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0)))) * Float64(fma(-0.5, Float64(x * x), 1.0) - cos(y)))) / Float64(fma(Float64(x * x), fma(sqrt(5.0), -0.75, 0.75), 3.0) + fma(1.5, fma(cos(y), t_0, sqrt(5.0)), -1.5))); else tmp = Float64(fma(Float64(cos(x) - cos(y)), Float64(sqrt(2.0) * Float64(-0.0625 * t_1)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -0.0275], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.086], N[(N[(2.0 + N[(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] * N[(N[(-0.5 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * -0.75 + 0.75), $MachinePrecision] + 3.0), $MachinePrecision] + N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * t$95$1), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -0.0275:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{3 \cdot \mathsf{fma}\left(\cos y \cdot t\_0, 0.5, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right)\right)}\\
\mathbf{elif}\;x \leq 0.086:\\
\;\;\;\;\frac{2 + \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right)\right) \cdot \left(\mathsf{fma}\left(-0.5, x \cdot x, 1\right) - \cos y\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\sqrt{5}, -0.75, 0.75\right), 3\right) + \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \sqrt{5}\right), -1.5\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - \cos y, \sqrt{2} \cdot \left(-0.0625 \cdot t\_1\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}\\
\end{array}
\end{array}
if x < -0.0275000000000000001Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.9%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f6460.9
lift-+.f64N/A
+-commutativeN/A
Applied rewrites61.0%
if -0.0275000000000000001 < x < 0.085999999999999993Initial program 99.6%
Taylor expanded in x around 0
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites99.2%
Taylor expanded in x around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower-cos.f6499.2
Applied rewrites99.2%
if 0.085999999999999993 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
Applied rewrites63.4%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (pow (sin x) 2.0))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -0.0075)
(/
(fma t_1 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(*
3.0
(fma (* (cos y) t_0) 0.5 (fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0))))
(if (<= x 0.086)
(/
(fma
(- 1.0 (cos y))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
(*
3.0
(+
(fma t_2 (fma -0.25 (* x x) 0.5) 1.0)
(* (cos y) (fma (sqrt 5.0) -0.5 1.5)))))
(/
(fma (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 t_1)) 2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_2)) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -0.0075) {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / (3.0 * fma((cos(y) * t_0), 0.5, fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)));
} else if (x <= 0.086) {
tmp = fma((1.0 - cos(y)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / (3.0 * (fma(t_2, fma(-0.25, (x * x), 0.5), 1.0) + (cos(y) * fma(sqrt(5.0), -0.5, 1.5))));
} else {
tmp = fma((cos(x) - cos(y)), (sqrt(2.0) * (-0.0625 * t_1)), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_2)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -0.0075) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / Float64(3.0 * fma(Float64(cos(y) * t_0), 0.5, fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)))); elseif (x <= 0.086) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / Float64(3.0 * Float64(fma(t_2, fma(-0.25, Float64(x * x), 0.5), 1.0) + Float64(cos(y) * fma(sqrt(5.0), -0.5, 1.5))))); else tmp = Float64(fma(Float64(cos(x) - cos(y)), Float64(sqrt(2.0) * Float64(-0.0625 * t_1)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_2)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -0.0075], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.086], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(t$95$2 * N[(-0.25 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * t$95$1), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin x}^{2}\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -0.0075:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{3 \cdot \mathsf{fma}\left(\cos y \cdot t\_0, 0.5, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right)\right)}\\
\mathbf{elif}\;x \leq 0.086:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{3 \cdot \left(\mathsf{fma}\left(t\_2, \mathsf{fma}\left(-0.25, x \cdot x, 0.5\right), 1\right) + \cos y \cdot \mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - \cos y, \sqrt{2} \cdot \left(-0.0625 \cdot t\_1\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_2\right), 3\right)}\\
\end{array}
\end{array}
if x < -0.0074999999999999997Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.9%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f6460.9
lift-+.f64N/A
+-commutativeN/A
Applied rewrites61.0%
if -0.0074999999999999997 < x < 0.085999999999999993Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
Applied rewrites99.1%
Taylor expanded in x around 0
Applied rewrites99.1%
if 0.085999999999999993 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
Applied rewrites63.4%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (pow (sin x) 2.0)))
(if (<= x -5.8e-5)
(/
(fma t_1 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(*
3.0
(fma (* (cos y) t_0) 0.5 (fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0))))
(if (<= x 1e-5)
(/
(fma
(- 1.0 (cos y))
(*
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y)))
(sqrt 2.0))
2.0)
(* 3.0 (fma 0.5 (+ (sqrt 5.0) (fma (cos y) t_0 -1.0)) 1.0)))
(/
(fma (- (cos x) (cos y)) (* (sqrt 2.0) (* -0.0625 t_1)) 2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(x), 2.0);
double tmp;
if (x <= -5.8e-5) {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / (3.0 * fma((cos(y) * t_0), 0.5, fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)));
} else if (x <= 1e-5) {
tmp = fma((1.0 - cos(y)), ((fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / (3.0 * fma(0.5, (sqrt(5.0) + fma(cos(y), t_0, -1.0)), 1.0));
} else {
tmp = fma((cos(x) - cos(y)), (sqrt(2.0) * (-0.0625 * t_1)), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(x) ^ 2.0 tmp = 0.0 if (x <= -5.8e-5) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / Float64(3.0 * fma(Float64(cos(y) * t_0), 0.5, fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0)))); elseif (x <= 1e-5) tmp = Float64(fma(Float64(1.0 - cos(y)), Float64(Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y))) * sqrt(2.0)), 2.0) / Float64(3.0 * fma(0.5, Float64(sqrt(5.0) + fma(cos(y), t_0, -1.0)), 1.0))); else tmp = Float64(fma(Float64(cos(x) - cos(y)), Float64(sqrt(2.0) * Float64(-0.0625 * t_1)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[x, -5.8e-5], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-5], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(0.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * t$95$1), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin x}^{2}\\
\mathbf{if}\;x \leq -5.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{3 \cdot \mathsf{fma}\left(\cos y \cdot t\_0, 0.5, \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right)\right)}\\
\mathbf{elif}\;x \leq 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right) \cdot \sqrt{2}, 2\right)}{3 \cdot \mathsf{fma}\left(0.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_0, -1\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\cos x - \cos y, \sqrt{2} \cdot \left(-0.0625 \cdot t\_1\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}\\
\end{array}
\end{array}
if x < -5.8e-5Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.9%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f6460.9
lift-+.f64N/A
+-commutativeN/A
Applied rewrites61.0%
if -5.8e-5 < x < 1.00000000000000008e-5Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
associate-+r-N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
metadata-eval99.6
Applied rewrites99.6%
if 1.00000000000000008e-5 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
Applied rewrites63.5%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* -0.0625 (sqrt 2.0)))
(t_1 (- (cos x) (cos y)))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) t_2)) 3.0))
(t_4 (pow (sin y) 2.0)))
(if (<= y -5.8e-6)
(/ (fma t_1 (* t_4 t_0) 2.0) t_3)
(if (<= y 6.2e-5)
(/
(+ 2.0 (* t_1 (* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))))
(fma 1.5 (- (fma t_2 (cos x) 3.0) (sqrt 5.0)) 3.0))
(/ (fma t_4 (* (- 1.0 (cos y)) t_0) 2.0) t_3)))))
double code(double x, double y) {
double t_0 = -0.0625 * sqrt(2.0);
double t_1 = cos(x) - cos(y);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * t_2)), 3.0);
double t_4 = pow(sin(y), 2.0);
double tmp;
if (y <= -5.8e-6) {
tmp = fma(t_1, (t_4 * t_0), 2.0) / t_3;
} else if (y <= 6.2e-5) {
tmp = (2.0 + (t_1 * ((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))))) / fma(1.5, (fma(t_2, cos(x), 3.0) - sqrt(5.0)), 3.0);
} else {
tmp = fma(t_4, ((1.0 - cos(y)) * t_0), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(-0.0625 * sqrt(2.0)) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * t_2)), 3.0) t_4 = sin(y) ^ 2.0 tmp = 0.0 if (y <= -5.8e-6) tmp = Float64(fma(t_1, Float64(t_4 * t_0), 2.0) / t_3); elseif (y <= 6.2e-5) tmp = Float64(Float64(2.0 + Float64(t_1 * Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / fma(1.5, Float64(fma(t_2, cos(x), 3.0) - sqrt(5.0)), 3.0)); else tmp = Float64(fma(t_4, Float64(Float64(1.0 - cos(y)) * t_0), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[y, -5.8e-6], N[(N[(t$95$1 * N[(t$95$4 * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[y, 6.2e-5], N[(N[(2.0 + N[(t$95$1 * N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(t$95$2 * N[Cos[x], $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$4 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.0625 \cdot \sqrt{2}\\
t_1 := \cos x - \cos y\\
t_2 := \sqrt{5} + -1\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot t\_2\right), 3\right)\\
t_4 := {\sin y}^{2}\\
\mathbf{if}\;y \leq -5.8 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, t\_4 \cdot t\_0, 2\right)}{t\_3}\\
\mathbf{elif}\;y \leq 6.2 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + t\_1 \cdot \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos x, 3\right) - \sqrt{5}, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_4, \left(1 - \cos y\right) \cdot t\_0, 2\right)}{t\_3}\\
\end{array}
\end{array}
if y < -5.8000000000000004e-6Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Taylor expanded in x around 0
Applied rewrites63.9%
if -5.8000000000000004e-6 < y < 6.20000000000000027e-5Initial program 99.5%
Taylor expanded in x around 0
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites47.9%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6447.9
Applied rewrites47.9%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.2%
if 6.20000000000000027e-5 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6462.6
Applied rewrites62.6%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(fma
(pow (sin y) 2.0)
(* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0)))
2.0)
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))))
(if (<= y -1.04e+43)
t_0
(if (<= y 16000000.0)
(/
(fma (pow (sin x) 2.0) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(fma
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) 1.0)
3.0
(* (- 1.5 (* (sqrt 5.0) 0.5)) (* (cos y) 3.0))))
t_0))))
double code(double x, double y) {
double t_0 = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double tmp;
if (y <= -1.04e+43) {
tmp = t_0;
} else if (y <= 16000000.0) {
tmp = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, ((1.5 - (sqrt(5.0) * 0.5)) * (cos(y) * 3.0)));
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) tmp = 0.0 if (y <= -1.04e+43) tmp = t_0; elseif (y <= 16000000.0) tmp = Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), 1.0), 3.0, Float64(Float64(1.5 - Float64(sqrt(5.0) * 0.5)) * Float64(cos(y) * 3.0)))); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.04e+43], t$95$0, If[LessEqual[y, 16000000.0], N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * 3.0 + N[(N[(1.5 - N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}\\
\mathbf{if}\;y \leq -1.04 \cdot 10^{+43}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;y \leq 16000000:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), 1\right), 3, \left(1.5 - \sqrt{5} \cdot 0.5\right) \cdot \left(\cos y \cdot 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if y < -1.03999999999999996e43 or 1.6e7 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6464.7
Applied rewrites64.7%
if -1.03999999999999996e43 < y < 1.6e7Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites95.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lower-fma.f64N/A
Applied rewrites95.8%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(/
(fma
(pow (sin y) 2.0)
(* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0)))
2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0))))
(if (<= y -1.04e+43)
t_1
(if (<= y 16000000.0)
(/
(fma (pow (sin x) 2.0) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(+
3.0
(*
3.0
(fma (cos x) (fma (sqrt 5.0) 0.5 -0.5) (* t_0 (* (cos y) 0.5))))))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double tmp;
if (y <= -1.04e+43) {
tmp = t_1;
} else if (y <= 16000000.0) {
tmp = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / (3.0 + (3.0 * fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), (t_0 * (cos(y) * 0.5)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) tmp = 0.0 if (y <= -1.04e+43) tmp = t_1; elseif (y <= 16000000.0) tmp = Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / Float64(3.0 + Float64(3.0 * fma(cos(x), fma(sqrt(5.0), 0.5, -0.5), Float64(t_0 * Float64(cos(y) * 0.5)))))); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.04e+43], t$95$1, If[LessEqual[y, 16000000.0], N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(3.0 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] + N[(t$95$0 * N[(N[Cos[y], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}\\
\mathbf{if}\;y \leq -1.04 \cdot 10^{+43}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 16000000:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{3 + 3 \cdot \mathsf{fma}\left(\cos x, \mathsf{fma}\left(\sqrt{5}, 0.5, -0.5\right), t\_0 \cdot \left(\cos y \cdot 0.5\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -1.03999999999999996e43 or 1.6e7 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6464.7
Applied rewrites64.7%
if -1.03999999999999996e43 < y < 1.6e7Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites95.8%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites95.8%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))
(t_1
(/
(fma
(pow (sin y) 2.0)
(* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0)))
2.0)
t_0)))
(if (<= y -1.04e+43)
t_1
(if (<= y 16000000.0)
(/
(fma (pow (sin x) 2.0) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
t_0)
t_1))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double t_1 = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / t_0;
double tmp;
if (y <= -1.04e+43) {
tmp = t_1;
} else if (y <= 16000000.0) {
tmp = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / t_0;
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0) t_1 = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / t_0) tmp = 0.0 if (y <= -1.04e+43) tmp = t_1; elseif (y <= 16000000.0) tmp = Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / t_0); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -1.04e+43], t$95$1, If[LessEqual[y, 16000000.0], N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)\\
t_1 := \frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{t\_0}\\
\mathbf{if}\;y \leq -1.04 \cdot 10^{+43}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 16000000:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -1.03999999999999996e43 or 1.6e7 < y Initial program 99.1%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6464.7
Applied rewrites64.7%
if -1.03999999999999996e43 < y < 1.6e7Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites95.8%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites95.8%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (pow (sin x) 2.0))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= x -2.5e-6)
(/
(fma t_1 (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_2)) 3.0))
(if (<= x 7e-6)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0))) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_0 -1.0)) 3.0))
(/
(fma (fma -0.0625 (cos x) 0.0625) (* (sqrt 2.0) t_1) 2.0)
(fma 1.5 (fma t_2 (cos x) (* (cos y) t_0)) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(x), 2.0);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (x <= -2.5e-6) {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_2)), 3.0);
} else if (x <= 7e-6) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0);
} else {
tmp = fma(fma(-0.0625, cos(x), 0.0625), (sqrt(2.0) * t_1), 2.0) / fma(1.5, fma(t_2, cos(x), (cos(y) * t_0)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(x) ^ 2.0 t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (x <= -2.5e-6) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_2)), 3.0)); elseif (x <= 7e-6) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0)); else tmp = Float64(fma(fma(-0.0625, cos(x), 0.0625), Float64(sqrt(2.0) * t_1), 2.0) / fma(1.5, fma(t_2, cos(x), Float64(cos(y) * t_0)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[x, -2.5e-6], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7e-6], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin x}^{2}\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_2\right), 3\right)}\\
\mathbf{elif}\;x \leq 7 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_0, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), \sqrt{2} \cdot t\_1, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos x, \cos y \cdot t\_0\right), 3\right)}\\
\end{array}
\end{array}
if x < -2.5000000000000002e-6Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.9%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites61.0%
if -2.5000000000000002e-6 < x < 6.99999999999999989e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
if 6.99999999999999989e-6 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites63.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(/
(fma
(pow (sin x) 2.0)
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0))))
(if (<= x -2.5e-6)
t_1
(if (<= x 7e-6)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0))) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_0 -1.0)) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double tmp;
if (x <= -2.5e-6) {
tmp = t_1;
} else if (x <= 7e-6) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) tmp = 0.0 if (x <= -2.5e-6) tmp = t_1; elseif (x <= 7e-6) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2.5e-6], t$95$1, If[LessEqual[x, 7e-6], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_0, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -2.5000000000000002e-6 or 6.99999999999999989e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites62.4%
if -2.5000000000000002e-6 < x < 6.99999999999999989e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(/
(fma
(* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0)))
(- 0.5 (* 0.5 (cos (+ y y))))
2.0)
(*
3.0
(+
(* (cos y) (/ (- 3.0 (sqrt 5.0)) 2.0))
(+ 1.0 (* (cos x) (/ t_0 2.0))))))))
(if (<= y -1.25e-6)
t_1
(if (<= y 2.8e-6)
(/
(fma
(* (* (sqrt 2.0) (pow (sin x) 2.0)) (fma -0.0625 (cos x) 0.0625))
0.3333333333333333
0.6666666666666666)
(fma 0.5 (- (fma (cos x) t_0 3.0) (sqrt 5.0)) 1.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma(((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), (0.5 - (0.5 * cos((y + y)))), 2.0) / (3.0 * ((cos(y) * ((3.0 - sqrt(5.0)) / 2.0)) + (1.0 + (cos(x) * (t_0 / 2.0)))));
double tmp;
if (y <= -1.25e-6) {
tmp = t_1;
} else if (y <= 2.8e-6) {
tmp = fma(((sqrt(2.0) * pow(sin(x), 2.0)) * fma(-0.0625, cos(x), 0.0625)), 0.3333333333333333, 0.6666666666666666) / fma(0.5, (fma(cos(x), t_0, 3.0) - sqrt(5.0)), 1.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(fma(Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), Float64(0.5 - Float64(0.5 * cos(Float64(y + y)))), 2.0) / Float64(3.0 * Float64(Float64(cos(y) * Float64(Float64(3.0 - sqrt(5.0)) / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(t_0 / 2.0)))))) tmp = 0.0 if (y <= -1.25e-6) tmp = t_1; elseif (y <= 2.8e-6) tmp = Float64(fma(Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * fma(-0.0625, cos(x), 0.0625)), 0.3333333333333333, 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), t_0, 3.0) - sqrt(5.0)), 1.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(y + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $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[(N[Cos[x], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.25e-6], t$95$1, If[LessEqual[y, 2.8e-6], N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333 + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0 + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\mathsf{fma}\left(\left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 0.5 - 0.5 \cdot \cos \left(y + y\right), 2\right)}{3 \cdot \left(\cos y \cdot \frac{3 - \sqrt{5}}{2} + \left(1 + \cos x \cdot \frac{t\_0}{2}\right)\right)}\\
\mathbf{if}\;y \leq -1.25 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 0.3333333333333333, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, t\_0, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -1.2500000000000001e-6 or 2.79999999999999987e-6 < y Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sqrt.f6463.2
Applied rewrites63.2%
Applied rewrites63.2%
if -1.2500000000000001e-6 < y < 2.79999999999999987e-6Initial program 99.5%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.2%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(/
(fma
(+ 0.5 (* -0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(*
3.0
(+
(* (cos y) (/ t_0 2.0))
(+ 1.0 (* (cos x) (/ (+ (sqrt 5.0) -1.0) 2.0))))))))
(if (<= x -2.5e-6)
t_1
(if (<= x 7e-6)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0))) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_0 -1.0)) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma((0.5 + (-0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / (3.0 * ((cos(y) * (t_0 / 2.0)) + (1.0 + (cos(x) * ((sqrt(5.0) + -1.0) / 2.0)))));
double tmp;
if (x <= -2.5e-6) {
tmp = t_1;
} else if (x <= 7e-6) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(fma(Float64(0.5 + Float64(-0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / Float64(3.0 * Float64(Float64(cos(y) * Float64(t_0 / 2.0)) + Float64(1.0 + Float64(cos(x) * Float64(Float64(sqrt(5.0) + -1.0) / 2.0)))))) tmp = 0.0 if (x <= -2.5e-6) tmp = t_1; elseif (x <= 7e-6) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_0, -1.0)), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(0.5 + N[(-0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 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]), $MachinePrecision]}, If[LessEqual[x, -2.5e-6], t$95$1, If[LessEqual[x, 7e-6], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \frac{\mathsf{fma}\left(0.5 + -0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{3 \cdot \left(\cos y \cdot \frac{t\_0}{2} + \left(1 + \cos x \cdot \frac{\sqrt{5} + -1}{2}\right)\right)}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_0, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -2.5000000000000002e-6 or 6.99999999999999989e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.3%
Applied rewrites62.4%
if -2.5000000000000002e-6 < x < 6.99999999999999989e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(fma
(* (* (sqrt 2.0) (pow (sin x) 2.0)) (fma -0.0625 (cos x) 0.0625))
0.3333333333333333
0.6666666666666666)
(fma 0.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 1.0))))
(if (<= x -9.5e-6)
t_0
(if (<= x 9.6e-6)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0))) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) (- 3.0 (sqrt 5.0)) -1.0)) 3.0))
t_0))))
double code(double x, double y) {
double t_0 = fma(((sqrt(2.0) * pow(sin(x), 2.0)) * fma(-0.0625, cos(x), 0.0625)), 0.3333333333333333, 0.6666666666666666) / fma(0.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.0);
double tmp;
if (x <= -9.5e-6) {
tmp = t_0;
} else if (x <= 9.6e-6) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), (3.0 - sqrt(5.0)), -1.0)), 3.0);
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma(Float64(Float64(sqrt(2.0) * (sin(x) ^ 2.0)) * fma(-0.0625, cos(x), 0.0625)), 0.3333333333333333, 0.6666666666666666) / fma(0.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 1.0)) tmp = 0.0 if (x <= -9.5e-6) tmp = t_0; elseif (x <= 9.6e-6) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), Float64(3.0 - sqrt(5.0)), -1.0)), 3.0)); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333 + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -9.5e-6], t$95$0, If[LessEqual[x, 9.6e-6], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left(\left(\sqrt{2} \cdot {\sin x}^{2}\right) \cdot \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 0.3333333333333333, 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 1\right)}\\
\mathbf{if}\;x \leq -9.5 \cdot 10^{-6}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 9.6 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -9.5000000000000005e-6 or 9.5999999999999996e-6 < x Initial program 99.0%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
associate-*r/N/A
lower-/.f64N/A
Applied rewrites61.1%
if -9.5000000000000005e-6 < x < 9.5999999999999996e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(fma
(pow (sin x) 2.0)
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -9.5e-6)
(/ t_1 (fma 1.5 (+ 3.0 (fma (cos x) t_0 (- (sqrt 5.0)))) 3.0))
(if (<= x 8.4e-6)
(/
(fma (pow (sin y) 2.0) (* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0))) 2.0)
(fma 1.5 (+ (sqrt 5.0) (fma (cos y) t_2 -1.0)) 3.0))
(/ t_1 (fma 1.5 (fma t_0 (cos x) t_2) 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -9.5e-6) {
tmp = t_1 / fma(1.5, (3.0 + fma(cos(x), t_0, -sqrt(5.0))), 3.0);
} else if (x <= 8.4e-6) {
tmp = fma(pow(sin(y), 2.0), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, (sqrt(5.0) + fma(cos(y), t_2, -1.0)), 3.0);
} else {
tmp = t_1 / fma(1.5, fma(t_0, cos(x), t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -9.5e-6) tmp = Float64(t_1 / fma(1.5, Float64(3.0 + fma(cos(x), t_0, Float64(-sqrt(5.0)))), 3.0)); elseif (x <= 8.4e-6) tmp = Float64(fma((sin(y) ^ 2.0), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), t_2, -1.0)), 3.0)); else tmp = Float64(t_1 / fma(1.5, fma(t_0, cos(x), t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -9.5e-6], N[(t$95$1 / N[(1.5 * N[(3.0 + N[(N[Cos[x], $MachinePrecision] * t$95$0 + (-N[Sqrt[5.0], $MachinePrecision])), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8.4e-6], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$2 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -9.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, 3 + \mathsf{fma}\left(\cos x, t\_0, -\sqrt{5}\right), 3\right)}\\
\mathbf{elif}\;x \leq 8.4 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, t\_2, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if x < -9.5000000000000005e-6Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites60.9%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.2%
Applied rewrites59.2%
if -9.5000000000000005e-6 < x < 8.3999999999999992e-6Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
if 8.3999999999999992e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites63.3%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites62.2%
Applied rewrites62.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(*
t_0
(/
(fma
(- 0.5 (* 0.5 (cos (* 2.0 y))))
(* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0)))
2.0)
(fma
(cos y)
(* 3.0 (* t_0 (fma (sqrt 5.0) -0.5 1.5)))
(*
(-
1.0
(+ (fma (sqrt 5.0) -0.25 1.25) (fma (sqrt 5.0) -0.25 0.25)))
6.0))))))
(if (<= y -5.8e-6)
t_1
(if (<= y 1.46e-5)
(/
(fma (pow (sin x) 2.0) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0)
(fma 1.5 (fma (+ (sqrt 5.0) -1.0) (cos x) t_0) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = t_0 * (fma((0.5 - (0.5 * cos((2.0 * y)))), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(cos(y), (3.0 * (t_0 * fma(sqrt(5.0), -0.5, 1.5))), ((1.0 - (fma(sqrt(5.0), -0.25, 1.25) + fma(sqrt(5.0), -0.25, 0.25))) * 6.0)));
double tmp;
if (y <= -5.8e-6) {
tmp = t_1;
} else if (y <= 1.46e-5) {
tmp = fma(pow(sin(x), 2.0), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, fma((sqrt(5.0) + -1.0), cos(x), t_0), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(t_0 * Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * y)))), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(cos(y), Float64(3.0 * Float64(t_0 * fma(sqrt(5.0), -0.5, 1.5))), Float64(Float64(1.0 - Float64(fma(sqrt(5.0), -0.25, 1.25) + fma(sqrt(5.0), -0.25, 0.25))) * 6.0)))) tmp = 0.0 if (y <= -5.8e-6) tmp = t_1; elseif (y <= 1.46e-5) tmp = Float64(fma((sin(x) ^ 2.0), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, fma(Float64(sqrt(5.0) + -1.0), cos(x), t_0), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[Cos[y], $MachinePrecision] * N[(3.0 * N[(t$95$0 * N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 1.25), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -5.8e-6], t$95$1, If[LessEqual[y, 1.46e-5], N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := t\_0 \cdot \frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot y\right), \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(\cos y, 3 \cdot \left(t\_0 \cdot \mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right)\right), \left(1 - \left(\mathsf{fma}\left(\sqrt{5}, -0.25, 1.25\right) + \mathsf{fma}\left(\sqrt{5}, -0.25, 0.25\right)\right)\right) \cdot 6\right)}\\
\mathbf{if}\;y \leq -5.8 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 1.46 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\sqrt{5} + -1, \cos x, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -5.8000000000000004e-6 or 1.46000000000000008e-5 < y Initial program 99.1%
Applied rewrites99.0%
Taylor expanded in x around 0
Applied rewrites61.6%
Applied rewrites61.1%
if -5.8000000000000004e-6 < y < 1.46000000000000008e-5Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(*
t_0
(/
(fma
(- 0.5 (* 0.5 (cos (* 2.0 y))))
(* (- 1.0 (cos y)) (* -0.0625 (sqrt 2.0)))
2.0)
(fma
(cos y)
(* 3.0 (* t_0 (fma (sqrt 5.0) -0.5 1.5)))
(*
(-
1.0
(+ (fma (sqrt 5.0) -0.25 1.25) (fma (sqrt 5.0) -0.25 0.25)))
6.0))))))
(if (<= y -5.8e-6)
t_1
(if (<= y 1.46e-5)
(/
(fma
(- 0.5 (* 0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(fma 1.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = t_0 * (fma((0.5 - (0.5 * cos((2.0 * y)))), ((1.0 - cos(y)) * (-0.0625 * sqrt(2.0))), 2.0) / fma(cos(y), (3.0 * (t_0 * fma(sqrt(5.0), -0.5, 1.5))), ((1.0 - (fma(sqrt(5.0), -0.25, 1.25) + fma(sqrt(5.0), -0.25, 0.25))) * 6.0)));
double tmp;
if (y <= -5.8e-6) {
tmp = t_1;
} else if (y <= 1.46e-5) {
tmp = fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(t_0 * Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * y)))), Float64(Float64(1.0 - cos(y)) * Float64(-0.0625 * sqrt(2.0))), 2.0) / fma(cos(y), Float64(3.0 * Float64(t_0 * fma(sqrt(5.0), -0.5, 1.5))), Float64(Float64(1.0 - Float64(fma(sqrt(5.0), -0.25, 1.25) + fma(sqrt(5.0), -0.25, 0.25))) * 6.0)))) tmp = 0.0 if (y <= -5.8e-6) tmp = t_1; elseif (y <= 1.46e-5) tmp = Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[Cos[y], $MachinePrecision] * N[(3.0 * N[(t$95$0 * N[(N[Sqrt[5.0], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[(N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 1.25), $MachinePrecision] + N[(N[Sqrt[5.0], $MachinePrecision] * -0.25 + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -5.8e-6], t$95$1, If[LessEqual[y, 1.46e-5], N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := t\_0 \cdot \frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot y\right), \left(1 - \cos y\right) \cdot \left(-0.0625 \cdot \sqrt{2}\right), 2\right)}{\mathsf{fma}\left(\cos y, 3 \cdot \left(t\_0 \cdot \mathsf{fma}\left(\sqrt{5}, -0.5, 1.5\right)\right), \left(1 - \left(\mathsf{fma}\left(\sqrt{5}, -0.25, 1.25\right) + \mathsf{fma}\left(\sqrt{5}, -0.25, 0.25\right)\right)\right) \cdot 6\right)}\\
\mathbf{if}\;y \leq -5.8 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y \leq 1.46 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y < -5.8000000000000004e-6 or 1.46000000000000008e-5 < y Initial program 99.1%
Applied rewrites99.0%
Taylor expanded in x around 0
Applied rewrites61.6%
Applied rewrites61.1%
if -5.8000000000000004e-6 < y < 1.46000000000000008e-5Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Applied rewrites99.1%
(FPCore (x y) :precision binary64 (/ (fma (- 0.5 (* 0.5 (cos (+ x x)))) (* (sqrt 2.0) (fma (cos x) -0.0625 0.0625)) 2.0) (fma 1.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 3.0)))
double code(double x, double y) {
return fma((0.5 - (0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0);
}
function code(x, y) return Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(x + x)))), Float64(sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / fma(1.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0)) end
code[x_, y_] := N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(x + x\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Applied rewrites59.3%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) (* (cos x) (+ (sqrt 5.0) -1.0))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Taylor expanded in x around 0
Applied rewrites41.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites44.0%
Final simplification44.0%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (+ (* (cos x) (sqrt 5.0)) (- (- 3.0 (sqrt 5.0)) (cos x))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, ((cos(x) * sqrt(5.0)) + ((3.0 - sqrt(5.0)) - cos(x))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, Float64(Float64(cos(x) * sqrt(5.0)) + Float64(Float64(3.0 - sqrt(5.0)) - cos(x))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] - N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \cos x \cdot \sqrt{5} + \left(\left(3 - \sqrt{5}\right) - \cos x\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Taylor expanded in x around 0
Applied rewrites41.3%
Applied rewrites41.3%
Final simplification41.3%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (+ (sqrt 5.0) -1.0) (cos x) (- 3.0 (sqrt 5.0))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma((sqrt(5.0) + -1.0), cos(x), (3.0 - sqrt(5.0))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(Float64(sqrt(5.0) + -1.0), cos(x), Float64(3.0 - sqrt(5.0))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\sqrt{5} + -1, \cos x, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Taylor expanded in x around 0
Applied rewrites41.3%
Applied rewrites41.3%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (- (fma (cos x) (+ (sqrt 5.0) -1.0) 3.0) (sqrt 5.0)) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, (fma(cos(x), (sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, Float64(fma(cos(x), Float64(sqrt(5.0) + -1.0), 3.0) - sqrt(5.0)), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 3\right) - \sqrt{5}, 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Taylor expanded in x around 0
Applied rewrites41.3%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (+ (sqrt 5.0) (fma (cos y) (- 3.0 (sqrt 5.0)) -1.0)) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, (sqrt(5.0) + fma(cos(y), (3.0 - sqrt(5.0)), -1.0)), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, Float64(sqrt(5.0) + fma(cos(y), Float64(3.0 - sqrt(5.0)), -1.0)), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \sqrt{5} + \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, -1\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Taylor expanded in x around 0
Applied rewrites41.3%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites41.2%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 2.0 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, 2.0, 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, 2.0, 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * 2.0 + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, 2, 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites59.3%
Taylor expanded in x around 0
Applied rewrites41.3%
Taylor expanded in x around 0
Applied rewrites38.9%
herbie shell --seed 2024220
(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))))))