
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 27 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(fma
1.5
(fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) (+ (sqrt 5.0) -1.0)))
3.0)))
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)))) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
}
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)))) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) 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[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $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 + \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)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{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
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(fma (sin y) -0.0625 (sin x))
(* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y))))
2.0)
(fma
1.5
(fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0)))))
3.0)))
double code(double x, double y) {
return fma(sqrt(2.0), (fma(sin(y), -0.0625, sin(x)) * ((cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * (4.0 / (3.0 + sqrt(5.0))))), 3.0);
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(fma(sin(y), -0.0625, sin(x)) * Float64(Float64(cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0))))), 3.0)) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot \frac{4}{3 + \sqrt{5}}\right), 3\right)}
\end{array}
Initial program 99.3%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(* (sqrt 2.0) (- (cos x) (cos y)))
(* (fma (sin y) -0.0625 (sin x)) (fma (sin x) -0.0625 (sin y)))))
(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 + ((sqrt(2.0) * (cos(x) - cos(y))) * (fma(sin(y), -0.0625, sin(x)) * fma(sin(x), -0.0625, sin(y))))) / 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(Float64(2.0 + Float64(Float64(sqrt(2.0) * Float64(cos(x) - cos(y))) * Float64(fma(sin(y), -0.0625, sin(x)) * fma(sin(x), -0.0625, sin(y))))) / 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[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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{2 + \left(\sqrt{2} \cdot \left(\cos x - \cos y\right)\right) \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\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
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f6499.4
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(fma (sin y) -0.0625 (sin x))
(* (- (cos x) (cos y)) (fma (sin x) -0.0625 (sin y))))))
(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 + (sqrt(2.0) * (fma(sin(y), -0.0625, sin(x)) * ((cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))))) / 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(Float64(2.0 + Float64(sqrt(2.0) * Float64(fma(sin(y), -0.0625, sin(x)) * Float64(Float64(cos(x) - cos(y)) * fma(sin(x), -0.0625, sin(y)))))) / 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[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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{2 + \sqrt{2} \cdot \left(\mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right)\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
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(*
(sqrt 2.0)
(* (fma -0.0625 (sin y) (sin x)) (fma -0.0625 (sin x) (sin y))))
(- (cos x) (cos y))
2.0)
(fma
1.5
(fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) (- 3.0 (sqrt 5.0))))
3.0)))
double code(double x, double y) {
return fma((sqrt(2.0) * (fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), (cos(x) - cos(y)), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
}
function code(x, y) return Float64(fma(Float64(sqrt(2.0) * Float64(fma(-0.0625, sin(y), sin(x)) * fma(-0.0625, sin(x), sin(y)))), Float64(cos(x) - cos(y)), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * 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]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $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(\sqrt{2} \cdot \left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right)\right), \cos x - \cos y, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \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
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
Taylor expanded in x around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
lower-sin.f6457.5
Applied rewrites57.5%
Taylor expanded in y around inf
+-commutativeN/A
metadata-evalN/A
cancel-sign-sub-invN/A
metadata-evalN/A
cancel-sign-sub-invN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (cos x) (+ (sqrt 5.0) -1.0)))
(t_1
(/
(fma
(- (cos x) (cos y))
(* (fma -0.0625 (sin x) (sin y)) (* (sqrt 2.0) (sin x)))
2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_0) 3.0))))
(if (<= x -0.44)
t_1
(if (<= x 7.5e-12)
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(fma
(* x x)
(fma
(* x x)
(fma (* x x) -0.001388888888888889 0.041666666666666664)
-0.5)
(- 1.0 (cos y)))))
(fma 1.5 (fma (cos y) (- 3.0 (sqrt 5.0)) t_0) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = cos(x) * (sqrt(5.0) + -1.0);
double t_1 = fma((cos(x) - cos(y)), (fma(-0.0625, sin(x), sin(y)) * (sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_0), 3.0);
double tmp;
if (x <= -0.44) {
tmp = t_1;
} else if (x <= 7.5e-12) {
tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * fma((x * x), fma((x * x), fma((x * x), -0.001388888888888889, 0.041666666666666664), -0.5), (1.0 - cos(y))))) / fma(1.5, fma(cos(y), (3.0 - sqrt(5.0)), t_0), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) t_1 = Float64(fma(Float64(cos(x) - cos(y)), Float64(fma(-0.0625, sin(x), sin(y)) * Float64(sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_0), 3.0)) tmp = 0.0 if (x <= -0.44) tmp = t_1; elseif (x <= 7.5e-12) tmp = 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))) * fma(Float64(x * x), fma(Float64(x * x), fma(Float64(x * x), -0.001388888888888889, 0.041666666666666664), -0.5), Float64(1.0 - cos(y))))) / fma(1.5, fma(cos(y), Float64(3.0 - sqrt(5.0)), t_0), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.44], t$95$1, If[LessEqual[x, 7.5e-12], 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[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * -0.001388888888888889 + 0.041666666666666664), $MachinePrecision] + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x \cdot \left(\sqrt{5} + -1\right)\\
t_1 := \frac{\mathsf{fma}\left(\cos x - \cos y, \mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\sqrt{2} \cdot \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_0\right), 3\right)}\\
\mathbf{if}\;x \leq -0.44:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\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 \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, -0.001388888888888889, 0.041666666666666664\right), -0.5\right), 1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.440000000000000002 or 7.5e-12 < 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6464.7
Applied rewrites64.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6464.7
Applied rewrites64.7%
if -0.440000000000000002 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.5
Applied rewrites99.5%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(/
(fma
(- (cos x) (cos y))
(* (fma -0.0625 (sin x) (sin y)) (* (sqrt 2.0) (sin x)))
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) t_0))
3.0))))
(if (<= x -0.44)
t_1
(if (<= x 7.5e-12)
(/
(fma
(sqrt 2.0)
(*
(fma (sin y) -0.0625 (sin x))
(*
(fma (sin x) -0.0625 (sin y))
(fma
(* x x)
(fma
x
(* x (fma (* x x) -0.001388888888888889 0.041666666666666664))
-0.5)
(- 1.0 (cos y)))))
2.0)
(fma 1.5 (fma (cos x) t_0 (* (cos y) (- 3.0 (sqrt 5.0)))) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma((cos(x) - cos(y)), (fma(-0.0625, sin(x), sin(y)) * (sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * t_0)), 3.0);
double tmp;
if (x <= -0.44) {
tmp = t_1;
} else if (x <= 7.5e-12) {
tmp = fma(sqrt(2.0), (fma(sin(y), -0.0625, sin(x)) * (fma(sin(x), -0.0625, sin(y)) * fma((x * x), fma(x, (x * fma((x * x), -0.001388888888888889, 0.041666666666666664)), -0.5), (1.0 - cos(y))))), 2.0) / fma(1.5, fma(cos(x), t_0, (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(fma(Float64(cos(x) - cos(y)), Float64(fma(-0.0625, sin(x), sin(y)) * Float64(sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * t_0)), 3.0)) tmp = 0.0 if (x <= -0.44) tmp = t_1; elseif (x <= 7.5e-12) tmp = Float64(fma(sqrt(2.0), Float64(fma(sin(y), -0.0625, sin(x)) * Float64(fma(sin(x), -0.0625, sin(y)) * fma(Float64(x * x), fma(x, Float64(x * fma(Float64(x * x), -0.001388888888888889, 0.041666666666666664)), -0.5), Float64(1.0 - cos(y))))), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.44], t$95$1, If[LessEqual[x, 7.5e-12], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * -0.001388888888888889 + 0.041666666666666664), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\mathsf{fma}\left(\cos x - \cos y, \mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\sqrt{2} \cdot \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot t\_0\right), 3\right)}\\
\mathbf{if}\;x \leq -0.44:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \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 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.440000000000000002 or 7.5e-12 < 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6464.7
Applied rewrites64.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6464.7
Applied rewrites64.7%
if -0.440000000000000002 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
unpow2N/A
associate-*l*N/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.5
Applied rewrites99.5%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(/
(fma
(- (cos x) (cos y))
(* (fma -0.0625 (sin x) (sin y)) (* (sqrt 2.0) (sin x)))
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) t_0))
3.0))))
(if (<= x -0.2)
t_1
(if (<= x 7.5e-12)
(/
(fma
(sqrt 2.0)
(*
(fma (sin y) -0.0625 (sin x))
(*
(fma (sin x) -0.0625 (sin y))
(fma
(* x (fma (* x x) 0.041666666666666664 -0.5))
x
(- 1.0 (cos y)))))
2.0)
(fma 1.5 (fma (cos x) t_0 (* (cos y) (- 3.0 (sqrt 5.0)))) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma((cos(x) - cos(y)), (fma(-0.0625, sin(x), sin(y)) * (sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * t_0)), 3.0);
double tmp;
if (x <= -0.2) {
tmp = t_1;
} else if (x <= 7.5e-12) {
tmp = fma(sqrt(2.0), (fma(sin(y), -0.0625, sin(x)) * (fma(sin(x), -0.0625, sin(y)) * fma((x * fma((x * x), 0.041666666666666664, -0.5)), x, (1.0 - cos(y))))), 2.0) / fma(1.5, fma(cos(x), t_0, (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(fma(Float64(cos(x) - cos(y)), Float64(fma(-0.0625, sin(x), sin(y)) * Float64(sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * t_0)), 3.0)) tmp = 0.0 if (x <= -0.2) tmp = t_1; elseif (x <= 7.5e-12) tmp = Float64(fma(sqrt(2.0), Float64(fma(sin(y), -0.0625, sin(x)) * Float64(fma(sin(x), -0.0625, sin(y)) * fma(Float64(x * fma(Float64(x * x), 0.041666666666666664, -0.5)), x, Float64(1.0 - cos(y))))), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.2], t$95$1, If[LessEqual[x, 7.5e-12], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[(x * N[(N[(x * x), $MachinePrecision] * 0.041666666666666664 + -0.5), $MachinePrecision]), $MachinePrecision] * x + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\mathsf{fma}\left(\cos x - \cos y, \mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\sqrt{2} \cdot \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot t\_0\right), 3\right)}\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(x \cdot \mathsf{fma}\left(x \cdot x, 0.041666666666666664, -0.5\right), x, 1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.20000000000000001 or 7.5e-12 < 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6464.7
Applied rewrites64.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6464.7
Applied rewrites64.7%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.4
Applied rewrites99.4%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1
(/
(fma
(- (cos x) (cos y))
(* (fma -0.0625 (sin x) (sin y)) (* (sqrt 2.0) (sin x)))
2.0)
(fma
1.5
(fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) (* (cos x) t_0))
3.0))))
(if (<= x -0.2)
t_1
(if (<= x 7.5e-12)
(/
(fma
(sqrt 2.0)
(*
(fma (sin y) -0.0625 (sin x))
(* (fma (sin x) -0.0625 (sin y)) (fma x (* x -0.5) (- 1.0 (cos y)))))
2.0)
(fma 1.5 (fma (cos x) t_0 (* (cos y) (- 3.0 (sqrt 5.0)))) 3.0))
t_1))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = fma((cos(x) - cos(y)), (fma(-0.0625, sin(x), sin(y)) * (sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * t_0)), 3.0);
double tmp;
if (x <= -0.2) {
tmp = t_1;
} else if (x <= 7.5e-12) {
tmp = fma(sqrt(2.0), (fma(sin(y), -0.0625, sin(x)) * (fma(sin(x), -0.0625, sin(y)) * fma(x, (x * -0.5), (1.0 - cos(y))))), 2.0) / fma(1.5, fma(cos(x), t_0, (cos(y) * (3.0 - sqrt(5.0)))), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(fma(Float64(cos(x) - cos(y)), Float64(fma(-0.0625, sin(x), sin(y)) * Float64(sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * t_0)), 3.0)) tmp = 0.0 if (x <= -0.2) tmp = t_1; elseif (x <= 7.5e-12) tmp = Float64(fma(sqrt(2.0), Float64(fma(sin(y), -0.0625, sin(x)) * Float64(fma(sin(x), -0.0625, sin(y)) * fma(x, Float64(x * -0.5), Float64(1.0 - cos(y))))), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(cos(y) * Float64(3.0 - sqrt(5.0)))), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.2], t$95$1, If[LessEqual[x, 7.5e-12], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * -0.5), $MachinePrecision] + N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := \frac{\mathsf{fma}\left(\cos x - \cos y, \mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\sqrt{2} \cdot \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot t\_0\right), 3\right)}\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(x, x \cdot -0.5, 1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \cos y \cdot \left(3 - \sqrt{5}\right)\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.20000000000000001 or 7.5e-12 < 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6464.7
Applied rewrites64.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6464.7
Applied rewrites64.7%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.3
Applied rewrites99.3%
Final simplification81.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1
(/
(fma
t_0
(* (fma -0.0625 (sin x) (sin y)) (* (sqrt 2.0) (sin x)))
2.0)
(fma
1.5
(fma
(cos y)
(/ 4.0 (+ 3.0 (sqrt 5.0)))
(* (cos x) (+ (sqrt 5.0) -1.0)))
3.0))))
(if (<= x -0.2)
t_1
(if (<= x 7.5e-12)
(/
(+
2.0
(*
t_0
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 (sin y) x)))))
(fma
1.5
(+
(fma (* x (fma -0.5 (sqrt 5.0) 0.5)) x (sqrt 5.0))
(fma (cos y) (- 3.0 (sqrt 5.0)) -1.0))
3.0))
t_1))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = fma(t_0, (fma(-0.0625, sin(x), sin(y)) * (sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), (cos(x) * (sqrt(5.0) + -1.0))), 3.0);
double tmp;
if (x <= -0.2) {
tmp = t_1;
} else if (x <= 7.5e-12) {
tmp = (2.0 + (t_0 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, sin(y), x))))) / fma(1.5, (fma((x * fma(-0.5, sqrt(5.0), 0.5)), x, sqrt(5.0)) + fma(cos(y), (3.0 - sqrt(5.0)), -1.0)), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(fma(t_0, Float64(fma(-0.0625, sin(x), sin(y)) * Float64(sqrt(2.0) * sin(x))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), Float64(cos(x) * Float64(sqrt(5.0) + -1.0))), 3.0)) tmp = 0.0 if (x <= -0.2) tmp = t_1; elseif (x <= 7.5e-12) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))))) / fma(1.5, Float64(fma(Float64(x * fma(-0.5, sqrt(5.0), 0.5)), x, sqrt(5.0)) + fma(cos(y), Float64(3.0 - sqrt(5.0)), -1.0)), 3.0)); else tmp = t_1; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.2], t$95$1, If[LessEqual[x, 7.5e-12], N[(N[(2.0 + N[(t$95$0 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(N[(x * N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] * x + N[Sqrt[5.0], $MachinePrecision]), $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$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \frac{\mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\sqrt{2} \cdot \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, \cos x \cdot \left(\sqrt{5} + -1\right)\right), 3\right)}\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(x \cdot \mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right), x, \sqrt{5}\right) + \mathsf{fma}\left(\cos y, 3 - \sqrt{5}, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -0.20000000000000001 or 7.5e-12 < 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6464.7
Applied rewrites64.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6464.7
Applied rewrites64.7%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
Taylor expanded in x around 0
Applied rewrites99.2%
Final simplification81.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1
(fma
(* t_0 (fma -0.0625 (sin x) (sin y)))
(* (sqrt 2.0) (sin x))
2.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma 1.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) t_2)) 3.0)))
(if (<= x -0.2)
(* t_1 (/ 1.0 t_3))
(if (<= x 7.5e-12)
(/
(+
2.0
(*
t_0
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 (sin y) x)))))
(fma
1.5
(+
(fma (* x (fma -0.5 (sqrt 5.0) 0.5)) x (sqrt 5.0))
(fma (cos y) t_2 -1.0))
3.0))
(/ t_1 t_3)))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = fma((t_0 * fma(-0.0625, sin(x), sin(y))), (sqrt(2.0) * sin(x)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * t_2)), 3.0);
double tmp;
if (x <= -0.2) {
tmp = t_1 * (1.0 / t_3);
} else if (x <= 7.5e-12) {
tmp = (2.0 + (t_0 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, sin(y), x))))) / fma(1.5, (fma((x * fma(-0.5, sqrt(5.0), 0.5)), x, sqrt(5.0)) + fma(cos(y), t_2, -1.0)), 3.0);
} else {
tmp = t_1 / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = fma(Float64(t_0 * fma(-0.0625, sin(x), sin(y))), Float64(sqrt(2.0) * sin(x)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * t_2)), 3.0) tmp = 0.0 if (x <= -0.2) tmp = Float64(t_1 * Float64(1.0 / t_3)); elseif (x <= 7.5e-12) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))))) / fma(1.5, Float64(fma(Float64(x * fma(-0.5, sqrt(5.0), 0.5)), x, sqrt(5.0)) + fma(cos(y), t_2, -1.0)), 3.0)); else tmp = Float64(t_1 / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[x, -0.2], N[(t$95$1 * N[(1.0 / t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7.5e-12], N[(N[(2.0 + N[(t$95$0 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(N[(x * N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] * x + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$2 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \mathsf{fma}\left(t\_0 \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right), \sqrt{2} \cdot \sin x, 2\right)\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot t\_2\right), 3\right)\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;t\_1 \cdot \frac{1}{t\_3}\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(x \cdot \mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right), x, \sqrt{5}\right) + \mathsf{fma}\left(\cos y, t\_2, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{t\_3}\\
\end{array}
\end{array}
if x < -0.20000000000000001Initial 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6467.9
Applied rewrites67.9%
Applied rewrites67.9%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
Taylor expanded in x around 0
Applied rewrites99.2%
if 7.5e-12 < 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 rewrites99.2%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6461.9
Applied rewrites61.9%
Applied rewrites61.8%
Final simplification81.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(* t_0 (fma -0.0625 (sin x) (sin y)))
(* (sqrt 2.0) (sin x))
2.0)
(fma 1.5 (fma (cos x) (+ (sqrt 5.0) -1.0) (* (cos y) t_1)) 3.0))))
(if (<= x -0.2)
t_2
(if (<= x 7.5e-12)
(/
(+
2.0
(*
t_0
(*
(- (sin y) (/ (sin x) 16.0))
(* (sqrt 2.0) (fma -0.0625 (sin y) x)))))
(fma
1.5
(+
(fma (* x (fma -0.5 (sqrt 5.0) 0.5)) x (sqrt 5.0))
(fma (cos y) t_1 -1.0))
3.0))
t_2))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma((t_0 * fma(-0.0625, sin(x), sin(y))), (sqrt(2.0) * sin(x)), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) + -1.0), (cos(y) * t_1)), 3.0);
double tmp;
if (x <= -0.2) {
tmp = t_2;
} else if (x <= 7.5e-12) {
tmp = (2.0 + (t_0 * ((sin(y) - (sin(x) / 16.0)) * (sqrt(2.0) * fma(-0.0625, sin(y), x))))) / fma(1.5, (fma((x * fma(-0.5, sqrt(5.0), 0.5)), x, sqrt(5.0)) + fma(cos(y), t_1, -1.0)), 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(fma(Float64(t_0 * fma(-0.0625, sin(x), sin(y))), Float64(sqrt(2.0) * sin(x)), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(cos(y) * t_1)), 3.0)) tmp = 0.0 if (x <= -0.2) tmp = t_2; elseif (x <= 7.5e-12) tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(sqrt(2.0) * fma(-0.0625, sin(y), x))))) / fma(1.5, Float64(fma(Float64(x * fma(-0.5, sqrt(5.0), 0.5)), x, sqrt(5.0)) + fma(cos(y), t_1, -1.0)), 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(t$95$0 * N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.2], t$95$2, If[LessEqual[x, 7.5e-12], N[(N[(2.0 + N[(t$95$0 * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(N[(x * N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] * x + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * t$95$1 + -1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{\mathsf{fma}\left(t\_0 \cdot \mathsf{fma}\left(-0.0625, \sin x, \sin y\right), \sqrt{2} \cdot \sin x, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, \cos y \cdot t\_1\right), 3\right)}\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{2 + t\_0 \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right)\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(x \cdot \mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right), x, \sqrt{5}\right) + \mathsf{fma}\left(\cos y, t\_1, -1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.20000000000000001 or 7.5e-12 < 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%
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sin.f6464.7
Applied rewrites64.7%
Applied rewrites64.7%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
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 rewrites99.7%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
Taylor expanded in x around 0
Applied rewrites99.2%
Final simplification81.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sin y) -0.0625 (sin x)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= y -0.0059)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(fma 1.5 (fma (cos y) t_1 (* (cos x) t_2)) 3.0))
(if (<= y 5.4e-5)
(/
(fma
(sqrt 2.0)
(* t_0 (* (+ (cos x) -1.0) (fma -0.0625 (sin x) y)))
2.0)
(fma 1.5 (fma (cos x) t_2 (* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))))) 3.0))
(/
(fma (sqrt 2.0) (* t_0 (* (sin y) (- 1.0 (cos y)))) 2.0)
(fma 1.5 (fma (cos x) t_2 (* (cos y) t_1)) 3.0))))))
double code(double x, double y) {
double t_0 = fma(sin(y), -0.0625, sin(x));
double t_1 = 3.0 - sqrt(5.0);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -0.0059) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / fma(1.5, fma(cos(y), t_1, (cos(x) * t_2)), 3.0);
} else if (y <= 5.4e-5) {
tmp = fma(sqrt(2.0), (t_0 * ((cos(x) + -1.0) * fma(-0.0625, sin(x), y))), 2.0) / fma(1.5, fma(cos(x), t_2, (cos(y) * (4.0 / (3.0 + sqrt(5.0))))), 3.0);
} else {
tmp = fma(sqrt(2.0), (t_0 * (sin(y) * (1.0 - cos(y)))), 2.0) / fma(1.5, fma(cos(x), t_2, (cos(y) * t_1)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = fma(sin(y), -0.0625, sin(x)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -0.0059) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / fma(1.5, fma(cos(y), t_1, Float64(cos(x) * t_2)), 3.0)); elseif (y <= 5.4e-5) tmp = Float64(fma(sqrt(2.0), Float64(t_0 * Float64(Float64(cos(x) + -1.0) * fma(-0.0625, sin(x), y))), 2.0) / fma(1.5, fma(cos(x), t_2, Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0))))), 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(t_0 * Float64(sin(y) * Float64(1.0 - cos(y)))), 2.0) / fma(1.5, fma(cos(x), t_2, Float64(cos(y) * t_1)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -0.0059], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5.4e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$0 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$0 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_1 := 3 - \sqrt{5}\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -0.0059:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, \cos x \cdot t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 5.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_0 \cdot \left(\left(\cos x + -1\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, \cos y \cdot \frac{4}{3 + \sqrt{5}}\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_0 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, \cos y \cdot t\_1\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.00589999999999999986Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6451.0
Applied rewrites51.0%
if -0.00589999999999999986 < y < 5.3999999999999998e-5Initial 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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
lower-sin.f6499.5
Applied rewrites99.5%
if 5.3999999999999998e-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%
Applied rewrites99.0%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f6462.7
Applied rewrites62.7%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma (sin y) -0.0625 (sin x)))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (fma 1.5 (fma (cos x) t_2 (* (cos y) t_1)) 3.0)))
(if (<= y -0.0059)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(fma 1.5 (fma (cos y) t_1 (* (cos x) t_2)) 3.0))
(if (<= y 5.4e-5)
(/
(fma
(sqrt 2.0)
(* t_0 (* (+ (cos x) -1.0) (fma -0.0625 (sin x) y)))
2.0)
t_3)
(/ (fma (sqrt 2.0) (* t_0 (* (sin y) (- 1.0 (cos y)))) 2.0) t_3)))))
double code(double x, double y) {
double t_0 = fma(sin(y), -0.0625, sin(x));
double t_1 = 3.0 - sqrt(5.0);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = fma(1.5, fma(cos(x), t_2, (cos(y) * t_1)), 3.0);
double tmp;
if (y <= -0.0059) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / fma(1.5, fma(cos(y), t_1, (cos(x) * t_2)), 3.0);
} else if (y <= 5.4e-5) {
tmp = fma(sqrt(2.0), (t_0 * ((cos(x) + -1.0) * fma(-0.0625, sin(x), y))), 2.0) / t_3;
} else {
tmp = fma(sqrt(2.0), (t_0 * (sin(y) * (1.0 - cos(y)))), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = fma(sin(y), -0.0625, sin(x)) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(sqrt(5.0) + -1.0) t_3 = fma(1.5, fma(cos(x), t_2, Float64(cos(y) * t_1)), 3.0) tmp = 0.0 if (y <= -0.0059) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / fma(1.5, fma(cos(y), t_1, Float64(cos(x) * t_2)), 3.0)); elseif (y <= 5.4e-5) tmp = Float64(fma(sqrt(2.0), Float64(t_0 * Float64(Float64(cos(x) + -1.0) * fma(-0.0625, sin(x), y))), 2.0) / t_3); else tmp = Float64(fma(sqrt(2.0), Float64(t_0 * Float64(sin(y) * Float64(1.0 - cos(y)))), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.0059], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5.4e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$0 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[(-0.0625 * N[Sin[x], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$0 * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)\\
t_1 := 3 - \sqrt{5}\\
t_2 := \sqrt{5} + -1\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, \cos y \cdot t\_1\right), 3\right)\\
\mathbf{if}\;y \leq -0.0059:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, \cos x \cdot t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 5.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_0 \cdot \left(\left(\cos x + -1\right) \cdot \mathsf{fma}\left(-0.0625, \sin x, y\right)\right), 2\right)}{t\_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_0 \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right), 2\right)}{t\_3}\\
\end{array}
\end{array}
if y < -0.00589999999999999986Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6451.0
Applied rewrites51.0%
if -0.00589999999999999986 < y < 5.3999999999999998e-5Initial 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 rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
sub-negN/A
lower-+.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.5
Applied rewrites99.5%
if 5.3999999999999998e-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%
Applied rewrites99.0%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f6462.7
Applied rewrites62.7%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0))) (t_1 (+ (sqrt 5.0) -1.0)))
(if (<= y -1.8e-5)
(/
(+
2.0
(* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) (pow (sin y) 2.0))))
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_1)) 3.0))
(if (<= y 8.2e-6)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (fma t_1 (cos x) t_0) 1.0))
(/
(fma
(sqrt 2.0)
(* (fma (sin y) -0.0625 (sin x)) (* (sin y) (- 1.0 (cos y))))
2.0)
(fma 1.5 (fma (cos x) t_1 (* (cos y) t_0)) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -1.8e-5) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * pow(sin(y), 2.0)))) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_1)), 3.0);
} else if (y <= 8.2e-6) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_1, cos(x), t_0), 1.0);
} else {
tmp = fma(sqrt(2.0), (fma(sin(y), -0.0625, sin(x)) * (sin(y) * (1.0 - cos(y)))), 2.0) / fma(1.5, fma(cos(x), t_1, (cos(y) * t_0)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -1.8e-5) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * (sin(y) ^ 2.0)))) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_1)), 3.0)); elseif (y <= 8.2e-6) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_1, cos(x), t_0), 1.0)); else tmp = Float64(fma(sqrt(2.0), Float64(fma(sin(y), -0.0625, sin(x)) * Float64(sin(y) * Float64(1.0 - cos(y)))), 2.0) / fma(1.5, fma(cos(x), t_1, 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[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -1.8e-5], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 8.2e-6], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + 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 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot {\sin y}^{2}\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_1\right), 3\right)}\\
\mathbf{elif}\;y \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos x, t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \mathsf{fma}\left(\sin y, -0.0625, \sin x\right) \cdot \left(\sin y \cdot \left(1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, \cos y \cdot t\_0\right), 3\right)}\\
\end{array}
\end{array}
if y < -1.80000000000000005e-5Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6451.0
Applied rewrites51.0%
if -1.80000000000000005e-5 < y < 8.1999999999999994e-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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites98.9%
if 8.1999999999999994e-6 < 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%
Applied rewrites99.0%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f6462.7
Applied rewrites62.7%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (pow (sin y) 2.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (+ (sqrt 5.0) -1.0)))
(if (<= y -1.8e-5)
(/
(+ 2.0 (* (- (cos x) (cos y)) (* (* (sqrt 2.0) -0.0625) t_0)))
(fma 1.5 (fma (cos y) t_1 (* (cos x) t_2)) 3.0))
(if (<= y 8.2e-6)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (fma t_2 (cos x) t_1) 1.0))
(/
(fma (* (sqrt 2.0) t_0) (* -0.0625 (- 1.0 (cos y))) 2.0)
(fma
1.5
(fma (cos x) t_2 (* (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0)))))
3.0))))))
double code(double x, double y) {
double t_0 = pow(sin(y), 2.0);
double t_1 = 3.0 - sqrt(5.0);
double t_2 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -1.8e-5) {
tmp = (2.0 + ((cos(x) - cos(y)) * ((sqrt(2.0) * -0.0625) * t_0))) / fma(1.5, fma(cos(y), t_1, (cos(x) * t_2)), 3.0);
} else if (y <= 8.2e-6) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_2, cos(x), t_1), 1.0);
} else {
tmp = fma((sqrt(2.0) * t_0), (-0.0625 * (1.0 - cos(y))), 2.0) / fma(1.5, fma(cos(x), t_2, (cos(y) * (4.0 / (3.0 + sqrt(5.0))))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = sin(y) ^ 2.0 t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -1.8e-5) tmp = Float64(Float64(2.0 + Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sqrt(2.0) * -0.0625) * t_0))) / fma(1.5, fma(cos(y), t_1, Float64(cos(x) * t_2)), 3.0)); elseif (y <= 8.2e-6) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_2, cos(x), t_1), 1.0)); else tmp = Float64(fma(Float64(sqrt(2.0) * t_0), Float64(-0.0625 * Float64(1.0 - cos(y))), 2.0) / fma(1.5, fma(cos(x), t_2, Float64(cos(y) * Float64(4.0 / Float64(3.0 + sqrt(5.0))))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -1.8e-5], N[(N[(2.0 + N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 8.2e-6], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * t$95$0), $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin y}^{2}\\
t_1 := 3 - \sqrt{5}\\
t_2 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(\cos x - \cos y\right) \cdot \left(\left(\sqrt{2} \cdot -0.0625\right) \cdot t\_0\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, \cos x \cdot t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_2, \cos x, t\_1\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot t\_0, -0.0625 \cdot \left(1 - \cos y\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, \cos y \cdot \frac{4}{3 + \sqrt{5}}\right), 3\right)}\\
\end{array}
\end{array}
if y < -1.80000000000000005e-5Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-pow.f64N/A
lower-sin.f6451.0
Applied rewrites51.0%
if -1.80000000000000005e-5 < y < 8.1999999999999994e-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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites98.9%
if 8.1999999999999994e-6 < 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%
Applied rewrites99.0%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6462.1
Applied rewrites62.1%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ 4.0 (+ 3.0 (sqrt 5.0))))
(t_1 (pow (sin y) 2.0))
(t_2 (* -0.0625 (- 1.0 (cos y))))
(t_3 (+ (sqrt 5.0) -1.0)))
(if (<= y -1.8e-5)
(/
(fma t_1 (* (sqrt 2.0) t_2) 2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_3)) 3.0))
(if (<= y 8.2e-6)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (fma t_3 (cos x) (- 3.0 (sqrt 5.0))) 1.0))
(/
(fma (* (sqrt 2.0) t_1) t_2 2.0)
(fma 1.5 (fma (cos x) t_3 (* (cos y) t_0)) 3.0))))))
double code(double x, double y) {
double t_0 = 4.0 / (3.0 + sqrt(5.0));
double t_1 = pow(sin(y), 2.0);
double t_2 = -0.0625 * (1.0 - cos(y));
double t_3 = sqrt(5.0) + -1.0;
double tmp;
if (y <= -1.8e-5) {
tmp = fma(t_1, (sqrt(2.0) * t_2), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_3)), 3.0);
} else if (y <= 8.2e-6) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_3, cos(x), (3.0 - sqrt(5.0))), 1.0);
} else {
tmp = fma((sqrt(2.0) * t_1), t_2, 2.0) / fma(1.5, fma(cos(x), t_3, (cos(y) * t_0)), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(4.0 / Float64(3.0 + sqrt(5.0))) t_1 = sin(y) ^ 2.0 t_2 = Float64(-0.0625 * Float64(1.0 - cos(y))) t_3 = Float64(sqrt(5.0) + -1.0) tmp = 0.0 if (y <= -1.8e-5) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * t_2), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_3)), 3.0)); elseif (y <= 8.2e-6) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_3, cos(x), Float64(3.0 - sqrt(5.0))), 1.0)); else tmp = Float64(fma(Float64(sqrt(2.0) * t_1), t_2, 2.0) / fma(1.5, fma(cos(x), t_3, Float64(cos(y) * t_0)), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, If[LessEqual[y, -1.8e-5], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + N[(N[Cos[x], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 8.2e-6], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$3 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$2 + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$3 + N[(N[Cos[y], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{4}{3 + \sqrt{5}}\\
t_1 := {\sin y}^{2}\\
t_2 := -0.0625 \cdot \left(1 - \cos y\right)\\
t_3 := \sqrt{5} + -1\\
\mathbf{if}\;y \leq -1.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot t\_2, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_3\right), 3\right)}\\
\mathbf{elif}\;y \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_3, \cos x, 3 - \sqrt{5}\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2} \cdot t\_1, t\_2, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_3, \cos y \cdot t\_0\right), 3\right)}\\
\end{array}
\end{array}
if y < -1.80000000000000005e-5Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
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
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6451.0
Applied rewrites51.0%
if -1.80000000000000005e-5 < y < 8.1999999999999994e-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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites98.9%
if 8.1999999999999994e-6 < 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%
Applied rewrites99.0%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6462.1
Applied rewrites62.1%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (pow (sin y) 2.0))
(t_2 (+ (sqrt 5.0) -1.0))
(t_3 (* (cos x) t_2)))
(if (<= y -1.8e-5)
(/
(fma t_1 (* (sqrt 2.0) (* -0.0625 (- 1.0 (cos y)))) 2.0)
(fma 1.5 (fma (cos y) (/ 4.0 (+ 3.0 (sqrt 5.0))) t_3) 3.0))
(if (<= y 8.2e-6)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (fma t_2 (cos x) t_0) 1.0))
(/
(fma t_1 (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_0 t_3) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = pow(sin(y), 2.0);
double t_2 = sqrt(5.0) + -1.0;
double t_3 = cos(x) * t_2;
double tmp;
if (y <= -1.8e-5) {
tmp = fma(t_1, (sqrt(2.0) * (-0.0625 * (1.0 - cos(y)))), 2.0) / fma(1.5, fma(cos(y), (4.0 / (3.0 + sqrt(5.0))), t_3), 3.0);
} else if (y <= 8.2e-6) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_2, cos(x), t_0), 1.0);
} else {
tmp = fma(t_1, (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = sin(y) ^ 2.0 t_2 = Float64(sqrt(5.0) + -1.0) t_3 = Float64(cos(x) * t_2) tmp = 0.0 if (y <= -1.8e-5) tmp = Float64(fma(t_1, Float64(sqrt(2.0) * Float64(-0.0625 * Float64(1.0 - cos(y)))), 2.0) / fma(1.5, fma(cos(y), Float64(4.0 / Float64(3.0 + sqrt(5.0))), t_3), 3.0)); elseif (y <= 8.2e-6) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_2, cos(x), t_0), 1.0)); else tmp = Float64(fma(t_1, Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, t_3), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] * t$95$2), $MachinePrecision]}, If[LessEqual[y, -1.8e-5], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 8.2e-6], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$2 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := {\sin y}^{2}\\
t_2 := \sqrt{5} + -1\\
t_3 := \cos x \cdot t\_2\\
\mathbf{if}\;y \leq -1.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \left(-0.0625 \cdot \left(1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, \frac{4}{3 + \sqrt{5}}, t\_3\right), 3\right)}\\
\mathbf{elif}\;y \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_2, \cos x, t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_3\right), 3\right)}\\
\end{array}
\end{array}
if y < -1.80000000000000005e-5Initial program 99.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.4%
Applied rewrites99.4%
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
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6451.0
Applied rewrites51.0%
if -1.80000000000000005e-5 < y < 8.1999999999999994e-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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites98.9%
if 8.1999999999999994e-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
Applied rewrites62.0%
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 rewrites62.1%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2
(/
(fma
(pow (sin y) 2.0)
(* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625))
2.0)
(fma 1.5 (fma (cos y) t_0 (* (cos x) t_1)) 3.0))))
(if (<= y -1.8e-5)
t_2
(if (<= y 8.2e-6)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (fma t_1 (cos x) t_0) 1.0))
t_2))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, (cos(x) * t_1)), 3.0);
double tmp;
if (y <= -1.8e-5) {
tmp = t_2;
} else if (y <= 8.2e-6) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_1, cos(x), t_0), 1.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, Float64(cos(x) * t_1)), 3.0)) tmp = 0.0 if (y <= -1.8e-5) tmp = t_2; elseif (y <= 8.2e-6) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_1, cos(x), t_0), 1.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $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$1), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.8e-5], t$95$2, If[LessEqual[y, 8.2e-6], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, \cos x \cdot t\_1\right), 3\right)}\\
\mathbf{if}\;y \leq -1.8 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos x, t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -1.80000000000000005e-5 or 8.1999999999999994e-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
Applied rewrites56.4%
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 rewrites56.5%
if -1.80000000000000005e-5 < y < 8.1999999999999994e-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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites98.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2
(/
(fma
(- 0.5 (* 0.5 (cos (+ y y))))
(* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625))
2.0)
(*
3.0
(+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))))
(if (<= y -1.8e-5)
t_2
(if (<= y 8.2e-6)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) (fma (cos x) -0.0625 0.0625)))
0.6666666666666666)
(fma 0.5 (fma t_1 (cos x) t_0) 1.0))
t_2))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = fma((0.5 - (0.5 * cos((y + y)))), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
double tmp;
if (y <= -1.8e-5) {
tmp = t_2;
} else if (y <= 8.2e-6) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_1, cos(x), t_0), 1.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(fma(Float64(0.5 - Float64(0.5 * cos(Float64(y + y)))), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))) tmp = 0.0 if (y <= -1.8e-5) tmp = t_2; elseif (y <= 8.2e-6) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * fma(cos(x), -0.0625, 0.0625))), 0.6666666666666666) / fma(0.5, fma(t_1, cos(x), t_0), 1.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(y + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -1.8e-5], t$95$2, If[LessEqual[y, 8.2e-6], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$1 * N[Cos[x], $MachinePrecision] + t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \frac{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(y + y\right), \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{3 \cdot \left(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{if}\;y \leq -1.8 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_1, \cos x, t\_0\right), 1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -1.80000000000000005e-5 or 8.1999999999999994e-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
Applied rewrites56.4%
Applied rewrites56.4%
if -1.80000000000000005e-5 < y < 8.1999999999999994e-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 rewrites99.6%
Applied rewrites99.6%
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites98.9%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2
(/
(fma
(+ 0.5 (* -0.5 (cos (+ x x))))
(* (sqrt 2.0) (fma (cos x) -0.0625 0.0625))
2.0)
(*
3.0
(+ (+ 1.0 (* (cos x) (/ t_1 2.0))) (* (cos y) (/ t_0 2.0)))))))
(if (<= x -1.25e-5)
t_2
(if (<= x 7.5e-12)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_0 t_1) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = sqrt(5.0) + -1.0;
double t_2 = fma((0.5 + (-0.5 * cos((x + x)))), (sqrt(2.0) * fma(cos(x), -0.0625, 0.0625)), 2.0) / (3.0 * ((1.0 + (cos(x) * (t_1 / 2.0))) + (cos(y) * (t_0 / 2.0))));
double tmp;
if (x <= -1.25e-5) {
tmp = t_2;
} else if (x <= 7.5e-12) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(fma(Float64(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(1.0 + Float64(cos(x) * Float64(t_1 / 2.0))) + Float64(cos(y) * Float64(t_0 / 2.0))))) tmp = 0.0 if (x <= -1.25e-5) tmp = t_2; elseif (x <= 7.5e-12) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_0, t_1), 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(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[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.25e-5], t$95$2, If[LessEqual[x, 7.5e-12], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \sqrt{5} + -1\\
t_2 := \frac{\mathsf{fma}\left(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(\left(1 + \cos x \cdot \frac{t\_1}{2}\right) + \cos y \cdot \frac{t\_0}{2}\right)}\\
\mathbf{if}\;x \leq -1.25 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -1.25000000000000006e-5 or 7.5e-12 < 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 rewrites60.8%
Applied rewrites60.8%
if -1.25000000000000006e-5 < x < 7.5e-12Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
lower-sqrt.f64N/A
metadata-eval99.1
Applied rewrites99.1%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma (cos x) -0.0625 0.0625)))
(if (<= x -0.2)
(/
(fma
0.3333333333333333
(* (sqrt 2.0) (* (pow (sin x) 2.0) t_2))
0.6666666666666666)
(fma 0.5 (fma t_0 (cos x) t_1) 1.0))
(if (<= x 7.5e-12)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_1 t_0) 3.0))
(/
(fma t_2 (* (sqrt 2.0) (- 0.5 (* 0.5 (cos (+ x x))))) 2.0)
(fma 1.5 (fma (cos x) t_0 t_1) 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(cos(x), -0.0625, 0.0625);
double tmp;
if (x <= -0.2) {
tmp = fma(0.3333333333333333, (sqrt(2.0) * (pow(sin(x), 2.0) * t_2)), 0.6666666666666666) / fma(0.5, fma(t_0, cos(x), t_1), 1.0);
} else if (x <= 7.5e-12) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0);
} else {
tmp = fma(t_2, (sqrt(2.0) * (0.5 - (0.5 * cos((x + x))))), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(cos(x), -0.0625, 0.0625) tmp = 0.0 if (x <= -0.2) tmp = Float64(fma(0.3333333333333333, Float64(sqrt(2.0) * Float64((sin(x) ^ 2.0) * t_2)), 0.6666666666666666) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)); elseif (x <= 7.5e-12) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0)); else tmp = Float64(fma(t_2, Float64(sqrt(2.0) * Float64(0.5 - Float64(0.5 * cos(Float64(x + x))))), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 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[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision]}, If[LessEqual[x, -0.2], N[(N[(0.3333333333333333 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + 0.6666666666666666), $MachinePrecision] / N[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7.5e-12], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right)\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;\frac{\mathsf{fma}\left(0.3333333333333333, \sqrt{2} \cdot \left({\sin x}^{2} \cdot t\_2\right), 0.6666666666666666\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 1\right)}\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2, \sqrt{2} \cdot \left(0.5 - 0.5 \cdot \cos \left(x + x\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)}\\
\end{array}
\end{array}
if x < -0.20000000000000001Initial 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%
Applied rewrites99.1%
Applied rewrites99.2%
Taylor expanded in y around 0
Applied rewrites63.9%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.5%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
lower-sqrt.f64N/A
metadata-eval98.5
Applied rewrites98.5%
if 7.5e-12 < 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 rewrites57.8%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6457.1
Applied rewrites57.1%
Applied rewrites57.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(fma (cos x) -0.0625 0.0625)
(* (sqrt 2.0) (- 0.5 (* 0.5 (cos (+ x x)))))
2.0)
(fma 1.5 (fma (cos x) t_0 t_1) 3.0))))
(if (<= x -0.2)
t_2
(if (<= x 7.5e-12)
(/
(fma (pow (sin y) 2.0) (* (sqrt 2.0) (fma (cos y) 0.0625 -0.0625)) 2.0)
(fma 1.5 (fma (cos y) t_1 t_0) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(fma(cos(x), -0.0625, 0.0625), (sqrt(2.0) * (0.5 - (0.5 * cos((x + x))))), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0);
double tmp;
if (x <= -0.2) {
tmp = t_2;
} else if (x <= 7.5e-12) {
tmp = fma(pow(sin(y), 2.0), (sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(fma(fma(cos(x), -0.0625, 0.0625), Float64(sqrt(2.0) * Float64(0.5 - Float64(0.5 * cos(Float64(x + x))))), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0)) tmp = 0.0 if (x <= -0.2) tmp = t_2; elseif (x <= 7.5e-12) tmp = Float64(fma((sin(y) ^ 2.0), Float64(sqrt(2.0) * fma(cos(y), 0.0625, -0.0625)), 2.0) / fma(1.5, fma(cos(y), t_1, t_0), 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.2], t$95$2, If[LessEqual[x, 7.5e-12], N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[y], $MachinePrecision] * 0.0625 + -0.0625), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), \sqrt{2} \cdot \left(0.5 - 0.5 \cdot \cos \left(x + x\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)}\\
\mathbf{if}\;x \leq -0.2:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-12}:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2}, \sqrt{2} \cdot \mathsf{fma}\left(\cos y, 0.0625, -0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_1, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.20000000000000001 or 7.5e-12 < 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 rewrites61.1%
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
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
Applied rewrites60.2%
if -0.20000000000000001 < x < 7.5e-12Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites98.5%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
lower-sqrt.f64N/A
metadata-eval98.5
Applied rewrites98.5%
(FPCore (x y) :precision binary64 (/ (fma (fma (cos x) -0.0625 0.0625) (* (sqrt 2.0) (- 0.5 (* 0.5 (cos (+ x x))))) 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(fma(cos(x), -0.0625, 0.0625), (sqrt(2.0) * (0.5 - (0.5 * cos((x + x))))), 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(fma(cos(x), -0.0625, 0.0625), Float64(sqrt(2.0) * Float64(0.5 - Float64(0.5 * cos(Float64(x + x))))), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) + -1.0), Float64(3.0 - sqrt(5.0))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), \sqrt{2} \cdot \left(0.5 - 0.5 \cdot \cos \left(x + x\right)\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} + -1, 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 rewrites66.2%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6464.0
Applied rewrites64.0%
Applied rewrites64.0%
(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 rewrites66.2%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6464.0
Applied rewrites64.0%
Applied rewrites64.0%
(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 rewrites66.2%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6464.0
Applied rewrites64.0%
Taylor expanded in x around 0
Applied rewrites46.7%
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 rewrites49.0%
Final simplification49.0%
(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 rewrites66.2%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
sub-negN/A
metadata-evalN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6464.0
Applied rewrites64.0%
Taylor expanded in x around 0
Applied rewrites46.7%
Applied rewrites46.7%
herbie shell --seed 2024233
(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))))))