
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 33 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(+
(*
(- (cos x) (cos y))
(*
(- (sin y) (/ (sin x) 16.0))
(* (- (sin x) (/ (sin y) 16.0)) (sqrt 2.0))))
2.0)
(fma
6.0
(/ (cos y) (+ (sqrt 5.0) 3.0))
(fma (* 1.5 (cos x)) (- (sqrt 5.0) 1.0) 3.0))))
double code(double x, double y) {
return (((cos(x) - cos(y)) * ((sin(y) - (sin(x) / 16.0)) * ((sin(x) - (sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(6.0, (cos(y) / (sqrt(5.0) + 3.0)), fma((1.5 * cos(x)), (sqrt(5.0) - 1.0), 3.0));
}
function code(x, y) return Float64(Float64(Float64(Float64(cos(x) - cos(y)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * sqrt(2.0)))) + 2.0) / fma(6.0, Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), fma(Float64(1.5 * cos(x)), Float64(sqrt(5.0) - 1.0), 3.0))) end
code[x_, y_] := N[(N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(6.0 * N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\cos x - \cos y\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot \left(\left(\sin x - \frac{\sin y}{16}\right) \cdot \sqrt{2}\right)\right) + 2}{\mathsf{fma}\left(6, \frac{\cos y}{\sqrt{5} + 3}, \mathsf{fma}\left(1.5 \cdot \cos x, \sqrt{5} - 1, 3\right)\right)}
\end{array}
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 rewrites99.3%
Applied rewrites99.4%
Taylor expanded in x around inf
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y) :precision binary64 (/ (fma (* (* (fma -0.0625 (sin x) (sin y)) (- (cos x) (cos y))) (sqrt 2.0)) (fma -0.0625 (sin y) (sin x)) 2.0) (fma (/ (cos y) (+ (sqrt 5.0) 3.0)) 6.0 (fma (fma (sqrt 5.0) 1.5 -1.5) (cos x) 3.0))))
double code(double x, double y) {
return fma(((fma(-0.0625, sin(x), sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), fma(-0.0625, sin(y), sin(x)), 2.0) / fma((cos(y) / (sqrt(5.0) + 3.0)), 6.0, fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), 3.0));
}
function code(x, y) return Float64(fma(Float64(Float64(fma(-0.0625, sin(x), sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), fma(-0.0625, sin(y), sin(x)), 2.0) / fma(Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), 6.0, fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), 3.0))) end
code[x_, y_] := N[(N[(N[(N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * 6.0 + N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + -1.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\left(\mathsf{fma}\left(-0.0625, \sin x, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, \mathsf{fma}\left(-0.0625, \sin y, \sin x\right), 2\right)}{\mathsf{fma}\left(\frac{\cos y}{\sqrt{5} + 3}, 6, \mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 1.5, -1.5\right), \cos x, 3\right)\right)}
\end{array}
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 rewrites99.3%
Applied rewrites99.4%
Taylor expanded in x around inf
Applied rewrites99.4%
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x y) :precision binary64 (/ (fma (fma -0.0625 (sin y) (sin x)) (* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0)) 2.0) (fma 1.5 (fma (- 3.0 (sqrt 5.0)) (cos y) (* (- (sqrt 5.0) 1.0) (cos x))) 3.0)))
double code(double x, double y) {
return fma(fma(-0.0625, sin(y), sin(x)), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma((3.0 - sqrt(5.0)), cos(y), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y) :precision binary64 (/ (fma (fma -0.0625 (sin y) (sin x)) (* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0)) 2.0) (fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y))) 3.0)))
double code(double x, double y) {
return fma(fma(-0.0625, sin(y), sin(x)), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
}
function code(x, y) return Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}
\end{array}
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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y) :precision binary64 (/ (fma (* (- (cos x) (cos y)) (sqrt 2.0)) (* (fma (sin x) -0.0625 (sin y)) (fma -0.0625 (sin y) (sin x))) 2.0) (fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y))) 3.0)))
double code(double x, double y) {
return fma(((cos(x) - cos(y)) * sqrt(2.0)), (fma(sin(x), -0.0625, sin(y)) * fma(-0.0625, sin(y), sin(x))), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
}
function code(x, y) return Float64(fma(Float64(Float64(cos(x) - cos(y)) * sqrt(2.0)), Float64(fma(sin(x), -0.0625, sin(y)) * fma(-0.0625, sin(y), sin(x))), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\left(\cos x - \cos y\right) \cdot \sqrt{2}, \mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \mathsf{fma}\left(-0.0625, \sin y, \sin x\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}
\end{array}
Initial program 99.1%
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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
Applied rewrites99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0))
(t_1 (- (cos x) (cos y)))
(t_2
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) t_1) (sqrt 2.0))
2.0)
t_0)))
(if (<= y -0.35)
t_2
(if (<= y 0.475)
(/
(fma
(fma
(fma
(fma (* y y) -0.0005208333333333333 0.010416666666666666)
(* y y)
-0.0625)
y
(sin x))
(* (* (fma (sin x) -0.0625 (sin y)) t_1) (sqrt 2.0))
2.0)
t_0)
t_2))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
double t_1 = cos(x) - cos(y);
double t_2 = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * t_1) * sqrt(2.0)), 2.0) / t_0;
double tmp;
if (y <= -0.35) {
tmp = t_2;
} else if (y <= 0.475) {
tmp = fma(fma(fma(fma((y * y), -0.0005208333333333333, 0.010416666666666666), (y * y), -0.0625), y, sin(x)), ((fma(sin(x), -0.0625, sin(y)) * t_1) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * t_1) * sqrt(2.0)), 2.0) / t_0) tmp = 0.0 if (y <= -0.35) tmp = t_2; elseif (y <= 0.475) tmp = Float64(fma(fma(fma(fma(Float64(y * y), -0.0005208333333333333, 0.010416666666666666), Float64(y * y), -0.0625), y, sin(x)), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * t_1) * sqrt(2.0)), 2.0) / t_0); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * t$95$1), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.35], t$95$2, If[LessEqual[y, 0.475], N[(N[(N[(N[(N[(N[(y * y), $MachinePrecision] * -0.0005208333333333333 + 0.010416666666666666), $MachinePrecision] * N[(y * y), $MachinePrecision] + -0.0625), $MachinePrecision] * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)\\
t_1 := \cos x - \cos y\\
t_2 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot t\_1\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.35:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 0.475:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(y \cdot y, -0.0005208333333333333, 0.010416666666666666\right), y \cdot y, -0.0625\right), y, \sin x\right), \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot t\_1\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -0.34999999999999998 or 0.47499999999999998 < y Initial program 98.8%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.1%
Taylor expanded in x around 0
lower-sin.f6465.4
Applied rewrites65.4%
if -0.34999999999999998 < y < 0.47499999999999998Initial program 99.4%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sin.f6499.5
Applied rewrites99.5%
Final simplification83.0%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0))
(t_1 (- (cos x) (cos y)))
(t_2
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) t_1) (sqrt 2.0))
2.0)
t_0)))
(if (<= y -0.14)
t_2
(if (<= y 0.108)
(/
(fma
(fma (fma (* y y) 0.010416666666666666 -0.0625) y (sin x))
(* (* (fma (sin x) -0.0625 (sin y)) t_1) (sqrt 2.0))
2.0)
t_0)
t_2))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
double t_1 = cos(x) - cos(y);
double t_2 = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * t_1) * sqrt(2.0)), 2.0) / t_0;
double tmp;
if (y <= -0.14) {
tmp = t_2;
} else if (y <= 0.108) {
tmp = fma(fma(fma((y * y), 0.010416666666666666, -0.0625), y, sin(x)), ((fma(sin(x), -0.0625, sin(y)) * t_1) * sqrt(2.0)), 2.0) / t_0;
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0) t_1 = Float64(cos(x) - cos(y)) t_2 = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * t_1) * sqrt(2.0)), 2.0) / t_0) tmp = 0.0 if (y <= -0.14) tmp = t_2; elseif (y <= 0.108) tmp = Float64(fma(fma(fma(Float64(y * y), 0.010416666666666666, -0.0625), y, sin(x)), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * t_1) * sqrt(2.0)), 2.0) / t_0); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * t$95$1), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]}, If[LessEqual[y, -0.14], t$95$2, If[LessEqual[y, 0.108], N[(N[(N[(N[(N[(y * y), $MachinePrecision] * 0.010416666666666666 + -0.0625), $MachinePrecision] * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)\\
t_1 := \cos x - \cos y\\
t_2 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot t\_1\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{if}\;y \leq -0.14:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 0.108:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(y \cdot y, 0.010416666666666666, -0.0625\right), y, \sin x\right), \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot t\_1\right) \cdot \sqrt{2}, 2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -0.14000000000000001 or 0.107999999999999999 < y Initial program 98.8%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.1%
Taylor expanded in x around 0
lower-sin.f6465.4
Applied rewrites65.4%
if -0.14000000000000001 < y < 0.107999999999999999Initial program 99.4%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.5%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sin.f6499.5
Applied rewrites99.5%
Final simplification83.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (- (cos x) (cos y)))
(t_3
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) t_2) (sqrt 2.0))
2.0)
(fma 1.5 (fma (cos x) t_0 (* t_1 (cos y))) 3.0))))
(if (<= y -0.048)
t_3
(if (<= y 0.029)
(/
(+
(*
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0)))
t_2)
2.0)
(fma
(fma
(* (fma -0.0020833333333333333 (* y y) 0.0625) t_1)
(* y y)
(* -0.75 t_1))
(* y y)
(fma 1.5 (fma (cos x) t_0 t_1) 3.0)))
t_3))))
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 = cos(x) - cos(y);
double t_3 = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * t_2) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), t_0, (t_1 * cos(y))), 3.0);
double tmp;
if (y <= -0.048) {
tmp = t_3;
} else if (y <= 0.029) {
tmp = ((((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_2) + 2.0) / fma(fma((fma(-0.0020833333333333333, (y * y), 0.0625) * t_1), (y * y), (-0.75 * t_1)), (y * y), fma(1.5, fma(cos(x), t_0, t_1), 3.0));
} else {
tmp = t_3;
}
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(cos(x) - cos(y)) t_3 = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * t_2) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(t_1 * cos(y))), 3.0)) tmp = 0.0 if (y <= -0.048) tmp = t_3; elseif (y <= 0.029) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_2) + 2.0) / fma(fma(Float64(fma(-0.0020833333333333333, Float64(y * y), 0.0625) * t_1), Float64(y * y), Float64(-0.75 * t_1)), Float64(y * y), fma(1.5, fma(cos(x), t_0, t_1), 3.0))); else tmp = t_3; 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] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * t$95$2), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.048], t$95$3, If[LessEqual[y, 0.029], N[(N[(N[(N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(-0.0020833333333333333 * N[(y * y), $MachinePrecision] + 0.0625), $MachinePrecision] * t$95$1), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(-0.75 * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \cos x - \cos y\\
t_3 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot t\_2\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1 \cdot \cos y\right), 3\right)}\\
\mathbf{if}\;y \leq -0.048:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;y \leq 0.029:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_2 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.0020833333333333333, y \cdot y, 0.0625\right) \cdot t\_1, y \cdot y, -0.75 \cdot t\_1\right), y \cdot y, \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if y < -0.048000000000000001 or 0.0290000000000000015 < y Initial program 98.8%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.1%
Taylor expanded in x around 0
lower-sin.f6465.4
Applied rewrites65.4%
if -0.048000000000000001 < y < 0.0290000000000000015Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.2%
Final simplification82.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(sin x)
(* (* (fma (sin x) -0.0625 (sin y)) (- (cos x) (cos y))) (sqrt 2.0))
2.0)
(fma 1.5 (fma (cos x) t_0 (* t_1 (cos y))) 3.0))))
(if (<= x -0.003)
t_2
(if (<= x 0.0055)
(/
(fma
(- 1.0 (cos y))
(fma
(* x (sqrt 2.0))
(* 1.00390625 (sin y))
(* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)))
2.0)
(* (+ (* (/ t_1 2.0) (cos y)) (+ (* (/ t_0 2.0) (cos x)) 1.0)) 3.0))
t_2))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(sin(x), ((fma(sin(x), -0.0625, sin(y)) * (cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), t_0, (t_1 * cos(y))), 3.0);
double tmp;
if (x <= -0.003) {
tmp = t_2;
} else if (x <= 0.0055) {
tmp = fma((1.0 - cos(y)), fma((x * sqrt(2.0)), (1.00390625 * sin(y)), ((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0))), 2.0) / ((((t_1 / 2.0) * cos(y)) + (((t_0 / 2.0) * cos(x)) + 1.0)) * 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(fma(sin(x), Float64(Float64(fma(sin(x), -0.0625, sin(y)) * Float64(cos(x) - cos(y))) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), t_0, Float64(t_1 * cos(y))), 3.0)) tmp = 0.0 if (x <= -0.003) tmp = t_2; elseif (x <= 0.0055) tmp = Float64(fma(Float64(1.0 - cos(y)), fma(Float64(x * sqrt(2.0)), Float64(1.00390625 * sin(y)), Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0))), 2.0) / Float64(Float64(Float64(Float64(t_1 / 2.0) * cos(y)) + Float64(Float64(Float64(t_0 / 2.0) * cos(x)) + 1.0)) * 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sin[x], $MachinePrecision] * N[(N[(N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.003], t$95$2, If[LessEqual[x, 0.0055], N[(N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[(x * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$0 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \frac{\mathsf{fma}\left(\sin x, \left(\mathsf{fma}\left(\sin x, -0.0625, \sin y\right) \cdot \left(\cos x - \cos y\right)\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1 \cdot \cos y\right), 3\right)}\\
\mathbf{if}\;x \leq -0.003:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.0055:\\
\;\;\;\;\frac{\mathsf{fma}\left(1 - \cos y, \mathsf{fma}\left(x \cdot \sqrt{2}, 1.00390625 \cdot \sin y, \left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right), 2\right)}{\left(\frac{t\_1}{2} \cdot \cos y + \left(\frac{t\_0}{2} \cdot \cos x + 1\right)\right) \cdot 3}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if x < -0.0030000000000000001 or 0.0054999999999999997 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites98.9%
Taylor expanded in y around 0
lower-sin.f6465.0
Applied rewrites65.0%
if -0.0030000000000000001 < x < 0.0054999999999999997Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites99.5%
Final simplification82.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma 1.5 (fma (cos x) t_1 (* t_2 (cos y))) 3.0)))
(if (<= y -0.078)
(/ (+ (* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0) t_3)
(if (<= y 0.029)
(/
(+
(*
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0)))
t_0)
2.0)
(fma
(fma
(* (fma -0.0020833333333333333 (* y y) 0.0625) t_2)
(* y y)
(* -0.75 t_2))
(* y y)
(fma 1.5 (fma (cos x) t_1 t_2) 3.0)))
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) (sqrt 2.0)) (- 1.0 (cos y)))
2.0)
t_3)))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(1.5, fma(cos(x), t_1, (t_2 * cos(y))), 3.0);
double tmp;
if (y <= -0.078) {
tmp = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3;
} else if (y <= 0.029) {
tmp = ((((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / fma(fma((fma(-0.0020833333333333333, (y * y), 0.0625) * t_2), (y * y), (-0.75 * t_2)), (y * y), fma(1.5, fma(cos(x), t_1, t_2), 3.0));
} else {
tmp = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * sqrt(2.0)) * (1.0 - cos(y))), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(1.5, fma(cos(x), t_1, Float64(t_2 * cos(y))), 3.0) tmp = 0.0 if (y <= -0.078) tmp = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3); elseif (y <= 0.029) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / fma(fma(Float64(fma(-0.0020833333333333333, Float64(y * y), 0.0625) * t_2), Float64(y * y), Float64(-0.75 * t_2)), Float64(y * y), fma(1.5, fma(cos(x), t_1, t_2), 3.0))); else tmp = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * sqrt(2.0)) * Float64(1.0 - cos(y))), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.078], N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[y, 0.029], N[(N[(N[(N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(N[(-0.0020833333333333333 * N[(y * y), $MachinePrecision] + 0.0625), $MachinePrecision] * t$95$2), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(-0.75 * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, t\_2 \cdot \cos y\right), 3\right)\\
\mathbf{if}\;y \leq -0.078:\\
\;\;\;\;\frac{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{t\_3}\\
\mathbf{elif}\;y \leq 0.029:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.0020833333333333333, y \cdot y, 0.0625\right) \cdot t\_2, y \cdot y, -0.75 \cdot t\_2\right), y \cdot y, \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, t\_2\right), 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right), 2\right)}{t\_3}\\
\end{array}
\end{array}
if y < -0.0779999999999999999Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6458.1
Applied rewrites58.1%
if -0.0779999999999999999 < y < 0.0290000000000000015Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.2%
if 0.0290000000000000015 < y 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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6466.6
Applied rewrites66.6%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma 1.5 (fma (cos x) t_1 (* t_2 (cos y))) 3.0)))
(if (<= y -0.078)
(/ (+ (* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0) t_3)
(if (<= y 0.029)
(/
(+
(*
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0)))
t_0)
2.0)
(fma
(* (fma 0.0625 (* y y) -0.75) t_2)
(* y y)
(fma 1.5 (fma (cos x) t_1 t_2) 3.0)))
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) (sqrt 2.0)) (- 1.0 (cos y)))
2.0)
t_3)))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(1.5, fma(cos(x), t_1, (t_2 * cos(y))), 3.0);
double tmp;
if (y <= -0.078) {
tmp = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3;
} else if (y <= 0.029) {
tmp = ((((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / fma((fma(0.0625, (y * y), -0.75) * t_2), (y * y), fma(1.5, fma(cos(x), t_1, t_2), 3.0));
} else {
tmp = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * sqrt(2.0)) * (1.0 - cos(y))), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(1.5, fma(cos(x), t_1, Float64(t_2 * cos(y))), 3.0) tmp = 0.0 if (y <= -0.078) tmp = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3); elseif (y <= 0.029) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / fma(Float64(fma(0.0625, Float64(y * y), -0.75) * t_2), Float64(y * y), fma(1.5, fma(cos(x), t_1, t_2), 3.0))); else tmp = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * sqrt(2.0)) * Float64(1.0 - cos(y))), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.078], N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[y, 0.029], N[(N[(N[(N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(0.0625 * N[(y * y), $MachinePrecision] + -0.75), $MachinePrecision] * t$95$2), $MachinePrecision] * N[(y * y), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, t\_2 \cdot \cos y\right), 3\right)\\
\mathbf{if}\;y \leq -0.078:\\
\;\;\;\;\frac{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{t\_3}\\
\mathbf{elif}\;y \leq 0.029:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\mathsf{fma}\left(0.0625, y \cdot y, -0.75\right) \cdot t\_2, y \cdot y, \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, t\_2\right), 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right), 2\right)}{t\_3}\\
\end{array}
\end{array}
if y < -0.0779999999999999999Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6458.1
Applied rewrites58.1%
if -0.0779999999999999999 < y < 0.0290000000000000015Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.2%
if 0.0290000000000000015 < y 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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6466.6
Applied rewrites66.6%
Final simplification81.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma 1.5 (fma (cos x) t_1 (* t_2 (cos y))) 3.0)))
(if (<= y -0.038)
(/ (+ (* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0) t_3)
(if (<= y 0.029)
(/
(+
(*
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0)))
t_0)
2.0)
(fma (* (* -0.75 t_2) y) y (fma 1.5 (fma (cos x) t_1 t_2) 3.0)))
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) (sqrt 2.0)) (- 1.0 (cos y)))
2.0)
t_3)))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(1.5, fma(cos(x), t_1, (t_2 * cos(y))), 3.0);
double tmp;
if (y <= -0.038) {
tmp = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3;
} else if (y <= 0.029) {
tmp = ((((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / fma(((-0.75 * t_2) * y), y, fma(1.5, fma(cos(x), t_1, t_2), 3.0));
} else {
tmp = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * sqrt(2.0)) * (1.0 - cos(y))), 2.0) / t_3;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(1.5, fma(cos(x), t_1, Float64(t_2 * cos(y))), 3.0) tmp = 0.0 if (y <= -0.038) tmp = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_3); elseif (y <= 0.029) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / fma(Float64(Float64(-0.75 * t_2) * y), y, fma(1.5, fma(cos(x), t_1, t_2), 3.0))); else tmp = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * sqrt(2.0)) * Float64(1.0 - cos(y))), 2.0) / t_3); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.038], N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[y, 0.029], N[(N[(N[(N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(-0.75 * t$95$2), $MachinePrecision] * y), $MachinePrecision] * y + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, t\_2 \cdot \cos y\right), 3\right)\\
\mathbf{if}\;y \leq -0.038:\\
\;\;\;\;\frac{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{t\_3}\\
\mathbf{elif}\;y \leq 0.029:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(\left(-0.75 \cdot t\_2\right) \cdot y, y, \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, t\_2\right), 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right), 2\right)}{t\_3}\\
\end{array}
\end{array}
if y < -0.0379999999999999991Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6458.1
Applied rewrites58.1%
if -0.0379999999999999991 < y < 0.0290000000000000015Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
distribute-lft-inN/A
Applied rewrites99.0%
if 0.0290000000000000015 < y 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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6466.6
Applied rewrites66.6%
Final simplification81.2%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (fma 1.5 (fma (cos x) t_1 (* (- 3.0 (sqrt 5.0)) (cos y))) 3.0)))
(if (<= y -0.0023)
(/ (+ (* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) t_0) 2.0) t_2)
(if (<= y 7.4e-5)
(/
(+
(*
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0)))
t_0)
2.0)
(fma 1.5 (fma (cos x) t_1 (/ 4.0 (+ (sqrt 5.0) 3.0))) 3.0))
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) (sqrt 2.0)) (- 1.0 (cos y)))
2.0)
t_2)))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = fma(1.5, fma(cos(x), t_1, ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
double tmp;
if (y <= -0.0023) {
tmp = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_2;
} else if (y <= 7.4e-5) {
tmp = ((((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * t_0) + 2.0) / fma(1.5, fma(cos(x), t_1, (4.0 / (sqrt(5.0) + 3.0))), 3.0);
} else {
tmp = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * sqrt(2.0)) * (1.0 - cos(y))), 2.0) / t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = fma(1.5, fma(cos(x), t_1, Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0) tmp = 0.0 if (y <= -0.0023) tmp = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * t_0) + 2.0) / t_2); elseif (y <= 7.4e-5) tmp = Float64(Float64(Float64(Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * t_0) + 2.0) / fma(1.5, fma(cos(x), t_1, Float64(4.0 / Float64(sqrt(5.0) + 3.0))), 3.0)); else tmp = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * sqrt(2.0)) * Float64(1.0 - cos(y))), 2.0) / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.0023], N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[y, 7.4e-5], N[(N[(N[(N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$1 + N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)\\
\mathbf{if}\;y \leq -0.0023:\\
\;\;\;\;\frac{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot t\_0 + 2}{t\_2}\\
\mathbf{elif}\;y \leq 7.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot t\_0 + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_1, \frac{4}{\sqrt{5} + 3}\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right), 2\right)}{t\_2}\\
\end{array}
\end{array}
if y < -0.0023Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6458.0
Applied rewrites58.0%
if -0.0023 < y < 7.39999999999999962e-5Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Applied rewrites99.2%
if 7.39999999999999962e-5 < y 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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6466.6
Applied rewrites66.6%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fma -0.0625 (sin y) (sin x)))
(t_1
(fma
1.5
(fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0)))
(if (<= y -0.005)
(/
(+
(* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) (- (cos x) (cos y)))
2.0)
t_1)
(if (<= y 0.0022)
(/
(fma
t_0
(* (fma -0.0625 (sin x) y) (* (- (cos x) 1.0) (sqrt 2.0)))
2.0)
t_1)
(/ (fma t_0 (* (* (sin y) (sqrt 2.0)) (- 1.0 (cos y))) 2.0) t_1)))))
double code(double x, double y) {
double t_0 = fma(-0.0625, sin(y), sin(x));
double t_1 = fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
double tmp;
if (y <= -0.005) {
tmp = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / t_1;
} else if (y <= 0.0022) {
tmp = fma(t_0, (fma(-0.0625, sin(x), y) * ((cos(x) - 1.0) * sqrt(2.0))), 2.0) / t_1;
} else {
tmp = fma(t_0, ((sin(y) * sqrt(2.0)) * (1.0 - cos(y))), 2.0) / t_1;
}
return tmp;
}
function code(x, y) t_0 = fma(-0.0625, sin(y), sin(x)) t_1 = fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0) tmp = 0.0 if (y <= -0.005) tmp = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / t_1); elseif (y <= 0.0022) tmp = Float64(fma(t_0, Float64(fma(-0.0625, sin(x), y) * Float64(Float64(cos(x) - 1.0) * sqrt(2.0))), 2.0) / t_1); else tmp = Float64(fma(t_0, Float64(Float64(sin(y) * sqrt(2.0)) * Float64(1.0 - cos(y))), 2.0) / t_1); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.005], N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[y, 0.0022], N[(N[(t$95$0 * N[(N[(-0.0625 * N[Sin[x], $MachinePrecision] + y), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[(t$95$0 * N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.0625, \sin y, \sin x\right)\\
t_1 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)\\
\mathbf{if}\;y \leq -0.005:\\
\;\;\;\;\frac{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{t\_1}\\
\mathbf{elif}\;y \leq 0.0022:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.0625, \sin x, y\right) \cdot \left(\left(\cos x - 1\right) \cdot \sqrt{2}\right), 2\right)}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, \left(\sin y \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right), 2\right)}{t\_1}\\
\end{array}
\end{array}
if y < -0.0050000000000000001Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6458.0
Applied rewrites58.0%
if -0.0050000000000000001 < y < 0.00220000000000000013Initial program 99.4%
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
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.5%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.5%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
+-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
if 0.00220000000000000013 < y 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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6466.6
Applied rewrites66.6%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (fma 1.5 (fma (cos x) t_0 (* t_1 (cos y))) 3.0)))
(if (<= y -0.0023)
(/
(+
(* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) (- (cos x) (cos y)))
2.0)
t_2)
(if (<= y 7.4e-5)
(/
(+
(*
(fma (* (fma -0.041666666666666664 (* y y) 0.5) y) y (- (cos x) 1.0))
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0))))
2.0)
(fma 1.5 (fma (cos x) t_0 t_1) 3.0))
(/
(fma
(fma -0.0625 (sin y) (sin x))
(* (* (sin y) (sqrt 2.0)) (- 1.0 (cos y)))
2.0)
t_2)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = fma(1.5, fma(cos(x), t_0, (t_1 * cos(y))), 3.0);
double tmp;
if (y <= -0.0023) {
tmp = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / t_2;
} else if (y <= 7.4e-5) {
tmp = ((fma((fma(-0.041666666666666664, (y * y), 0.5) * y), y, (cos(x) - 1.0)) * ((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0);
} else {
tmp = fma(fma(-0.0625, sin(y), sin(x)), ((sin(y) * sqrt(2.0)) * (1.0 - cos(y))), 2.0) / t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = fma(1.5, fma(cos(x), t_0, Float64(t_1 * cos(y))), 3.0) tmp = 0.0 if (y <= -0.0023) tmp = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / t_2); elseif (y <= 7.4e-5) tmp = Float64(Float64(Float64(fma(Float64(fma(-0.041666666666666664, Float64(y * y), 0.5) * y), y, Float64(cos(x) - 1.0)) * Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0)); else tmp = Float64(fma(fma(-0.0625, sin(y), sin(x)), Float64(Float64(sin(y) * sqrt(2.0)) * Float64(1.0 - cos(y))), 2.0) / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[y, -0.0023], N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[y, 7.4e-5], N[(N[(N[(N[(N[(N[(-0.041666666666666664 * N[(y * y), $MachinePrecision] + 0.5), $MachinePrecision] * y), $MachinePrecision] * y + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision] + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1 \cdot \cos y\right), 3\right)\\
\mathbf{if}\;y \leq -0.0023:\\
\;\;\;\;\frac{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{t\_2}\\
\mathbf{elif}\;y \leq 7.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.041666666666666664, y \cdot y, 0.5\right) \cdot y, y, \cos x - 1\right) \cdot \left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \sin y, \sin x\right), \left(\sin y \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right), 2\right)}{t\_2}\\
\end{array}
\end{array}
if y < -0.0023Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6458.0
Applied rewrites58.0%
if -0.0023 < y < 7.39999999999999962e-5Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.1
Applied rewrites99.1%
if 7.39999999999999962e-5 < y 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 rewrites99.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
Applied rewrites99.3%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-cos.f6466.6
Applied rewrites66.6%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(+
(* (* (* (pow (sin y) 2.0) -0.0625) (sqrt 2.0)) (- (cos x) (cos y)))
2.0)
(fma 1.5 (fma (cos x) t_0 (* t_1 (cos y))) 3.0))))
(if (<= y -0.0023)
t_2
(if (<= y 7.4e-5)
(/
(+
(*
(fma (* (fma -0.041666666666666664 (* y y) 0.5) y) y (- (cos x) 1.0))
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0))))
2.0)
(fma 1.5 (fma (cos x) t_0 t_1) 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 = ((((pow(sin(y), 2.0) * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(x), t_0, (t_1 * cos(y))), 3.0);
double tmp;
if (y <= -0.0023) {
tmp = t_2;
} else if (y <= 7.4e-5) {
tmp = ((fma((fma(-0.041666666666666664, (y * y), 0.5) * y), y, (cos(x) - 1.0)) * ((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0);
} else {
tmp = t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = Float64(Float64(Float64(Float64(Float64((sin(y) ^ 2.0) * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y))) + 2.0) / fma(1.5, fma(cos(x), t_0, Float64(t_1 * cos(y))), 3.0)) tmp = 0.0 if (y <= -0.0023) tmp = t_2; elseif (y <= 7.4e-5) tmp = Float64(Float64(Float64(fma(Float64(fma(-0.041666666666666664, Float64(y * y), 0.5) * y), y, Float64(cos(x) - 1.0)) * Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0)); else tmp = t_2; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0023], t$95$2, If[LessEqual[y, 7.4e-5], N[(N[(N[(N[(N[(N[(-0.041666666666666664 * N[(y * y), $MachinePrecision] + 0.5), $MachinePrecision] * y), $MachinePrecision] * y + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$1), $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{\left(\left({\sin y}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1 \cdot \cos y\right), 3\right)}\\
\mathbf{if}\;y \leq -0.0023:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 7.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.041666666666666664, y \cdot y, 0.5\right) \cdot y, y, \cos x - 1\right) \cdot \left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -0.0023 or 7.39999999999999962e-5 < y Initial program 98.8%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6462.0
Applied rewrites62.0%
if -0.0023 < y < 7.39999999999999962e-5Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.1
Applied rewrites99.1%
Final simplification81.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (pow (sin y) 2.0) -0.0625)
(* (- 1.0 (cos y)) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= y -0.0023)
(/
t_1
(fma (fma (sqrt 5.0) 1.5 -1.5) (cos x) (fma (* t_2 1.5) (cos y) 3.0)))
(if (<= y 7.4e-5)
(/
(+
(*
(fma (* (fma -0.041666666666666664 (* y y) 0.5) y) y (- (cos x) 1.0))
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0))))
2.0)
(fma 1.5 (fma (cos x) t_0 t_2) 3.0))
(/
t_1
(fma
1.5
(fma (cos x) t_0 (* (/ 4.0 (+ (sqrt 5.0) 3.0)) (cos y)))
3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (y <= -0.0023) {
tmp = t_1 / fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), fma((t_2 * 1.5), cos(y), 3.0));
} else if (y <= 7.4e-5) {
tmp = ((fma((fma(-0.041666666666666664, (y * y), 0.5) * y), y, (cos(x) - 1.0)) * ((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_2), 3.0);
} else {
tmp = t_1 / fma(1.5, fma(cos(x), t_0, ((4.0 / (sqrt(5.0) + 3.0)) * cos(y))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (y <= -0.0023) tmp = Float64(t_1 / fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), fma(Float64(t_2 * 1.5), cos(y), 3.0))); elseif (y <= 7.4e-5) tmp = Float64(Float64(Float64(fma(Float64(fma(-0.041666666666666664, Float64(y * y), 0.5) * y), y, Float64(cos(x) - 1.0)) * Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_2), 3.0)); else tmp = Float64(t_1 / fma(1.5, fma(cos(x), t_0, Float64(Float64(4.0 / Float64(sqrt(5.0) + 3.0)) * cos(y))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0023], N[(t$95$1 / N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + -1.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[(t$95$2 * 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 7.4e-5], N[(N[(N[(N[(N[(N[(-0.041666666666666664 * N[(y * y), $MachinePrecision] + 0.5), $MachinePrecision] * y), $MachinePrecision] * y + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;y \leq -0.0023:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 1.5, -1.5\right), \cos x, \mathsf{fma}\left(t\_2 \cdot 1.5, \cos y, 3\right)\right)}\\
\mathbf{elif}\;y \leq 7.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.041666666666666664, y \cdot y, 0.5\right) \cdot y, y, \cos x - 1\right) \cdot \left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_2\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \frac{4}{\sqrt{5} + 3} \cdot \cos y\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0023Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Applied rewrites99.0%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6457.7
Applied rewrites57.7%
Applied rewrites57.7%
if -0.0023 < y < 7.39999999999999962e-5Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.1
Applied rewrites99.1%
if 7.39999999999999962e-5 < y 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 rewrites99.3%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6466.1
Applied rewrites66.1%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (pow (sin y) 2.0) -0.0625)
(* (- 1.0 (cos y)) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= y -0.0023)
(/
t_1
(fma (fma (sqrt 5.0) 1.5 -1.5) (cos x) (fma (* t_2 1.5) (cos y) 3.0)))
(if (<= y 7.4e-5)
(/
(+
(*
(fma (* y y) 0.5 (- (cos x) 1.0))
(*
(* (fma -0.0625 y (sin x)) (sqrt 2.0))
(- (sin y) (/ (sin x) 16.0))))
2.0)
(fma 1.5 (fma (cos x) t_0 t_2) 3.0))
(/
t_1
(fma
1.5
(fma (cos x) t_0 (* (/ 4.0 (+ (sqrt 5.0) 3.0)) (cos y)))
3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (y <= -0.0023) {
tmp = t_1 / fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), fma((t_2 * 1.5), cos(y), 3.0));
} else if (y <= 7.4e-5) {
tmp = ((fma((y * y), 0.5, (cos(x) - 1.0)) * ((fma(-0.0625, y, sin(x)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_2), 3.0);
} else {
tmp = t_1 / fma(1.5, fma(cos(x), t_0, ((4.0 / (sqrt(5.0) + 3.0)) * cos(y))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (y <= -0.0023) tmp = Float64(t_1 / fma(fma(sqrt(5.0), 1.5, -1.5), cos(x), fma(Float64(t_2 * 1.5), cos(y), 3.0))); elseif (y <= 7.4e-5) tmp = Float64(Float64(Float64(fma(Float64(y * y), 0.5, Float64(cos(x) - 1.0)) * Float64(Float64(fma(-0.0625, y, sin(x)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0)))) + 2.0) / fma(1.5, fma(cos(x), t_0, t_2), 3.0)); else tmp = Float64(t_1 / fma(1.5, fma(cos(x), t_0, Float64(Float64(4.0 / Float64(sqrt(5.0) + 3.0)) * cos(y))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -0.0023], N[(t$95$1 / N[(N[(N[Sqrt[5.0], $MachinePrecision] * 1.5 + -1.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(N[(t$95$2 * 1.5), $MachinePrecision] * N[Cos[y], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 7.4e-5], N[(N[(N[(N[(N[(y * y), $MachinePrecision] * 0.5 + N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.0625 * y + N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;y \leq -0.0023:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(\mathsf{fma}\left(\sqrt{5}, 1.5, -1.5\right), \cos x, \mathsf{fma}\left(t\_2 \cdot 1.5, \cos y, 3\right)\right)}\\
\mathbf{elif}\;y \leq 7.4 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(y \cdot y, 0.5, \cos x - 1\right) \cdot \left(\left(\mathsf{fma}\left(-0.0625, y, \sin x\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) + 2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_2\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, \frac{4}{\sqrt{5} + 3} \cdot \cos y\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0023Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Applied rewrites99.0%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6457.7
Applied rewrites57.7%
Applied rewrites57.7%
if -0.0023 < y < 7.39999999999999962e-5Initial program 99.4%
Taylor expanded in y around 0
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-sin.f6499.3
Applied rewrites99.3%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6499.1
Applied rewrites99.1%
if 7.39999999999999962e-5 < y 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 rewrites99.3%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6466.1
Applied rewrites66.1%
Final simplification80.9%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) 3.0))
(t_1 (fma -0.0625 (cos x) 0.0625))
(t_2 (pow (sin x) 2.0))
(t_3 (- (sqrt 5.0) 1.0))
(t_4 (fma 1.5 (fma (cos x) t_3 (* (/ 4.0 t_0) (cos y))) 3.0)))
(if (<= x -0.00078)
(/
(fma (* t_1 t_2) (sqrt 2.0) 2.0)
(fma 6.0 (/ (cos y) t_0) (fma (* 1.5 (cos x)) t_3 3.0)))
(if (<= x 0.00064)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
t_4)
(/ (fma t_1 (* t_2 (sqrt 2.0)) 2.0) t_4)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + 3.0;
double t_1 = fma(-0.0625, cos(x), 0.0625);
double t_2 = pow(sin(x), 2.0);
double t_3 = sqrt(5.0) - 1.0;
double t_4 = fma(1.5, fma(cos(x), t_3, ((4.0 / t_0) * cos(y))), 3.0);
double tmp;
if (x <= -0.00078) {
tmp = fma((t_1 * t_2), sqrt(2.0), 2.0) / fma(6.0, (cos(y) / t_0), fma((1.5 * cos(x)), t_3, 3.0));
} else if (x <= 0.00064) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / t_4;
} else {
tmp = fma(t_1, (t_2 * sqrt(2.0)), 2.0) / t_4;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + 3.0) t_1 = fma(-0.0625, cos(x), 0.0625) t_2 = sin(x) ^ 2.0 t_3 = Float64(sqrt(5.0) - 1.0) t_4 = fma(1.5, fma(cos(x), t_3, Float64(Float64(4.0 / t_0) * cos(y))), 3.0) tmp = 0.0 if (x <= -0.00078) tmp = Float64(fma(Float64(t_1 * t_2), sqrt(2.0), 2.0) / fma(6.0, Float64(cos(y) / t_0), fma(Float64(1.5 * cos(x)), t_3, 3.0))); elseif (x <= 0.00064) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / t_4); else tmp = Float64(fma(t_1, Float64(t_2 * sqrt(2.0)), 2.0) / t_4); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$3 + N[(N[(4.0 / t$95$0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, If[LessEqual[x, -0.00078], N[(N[(N[(t$95$1 * t$95$2), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(6.0 * N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision] + N[(N[(1.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * t$95$3 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00064], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$4), $MachinePrecision], N[(N[(t$95$1 * N[(t$95$2 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$4), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + 3\\
t_1 := \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right)\\
t_2 := {\sin x}^{2}\\
t_3 := \sqrt{5} - 1\\
t_4 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_3, \frac{4}{t\_0} \cdot \cos y\right), 3\right)\\
\mathbf{if}\;x \leq -0.00078:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1 \cdot t\_2, \sqrt{2}, 2\right)}{\mathsf{fma}\left(6, \frac{\cos y}{t\_0}, \mathsf{fma}\left(1.5 \cdot \cos x, t\_3, 3\right)\right)}\\
\mathbf{elif}\;x \leq 0.00064:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{t\_4}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, t\_2 \cdot \sqrt{2}, 2\right)}{t\_4}\\
\end{array}
\end{array}
if x < -7.79999999999999986e-4Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
Applied rewrites98.9%
Taylor expanded in x around inf
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
+-commutativeN/A
Applied rewrites64.3%
if -7.79999999999999986e-4 < x < 6.40000000000000052e-4Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
if 6.40000000000000052e-4 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.5%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) 3.0))
(t_1 (/ (cos y) t_0))
(t_2 (fma -0.0625 (cos x) 0.0625))
(t_3 (pow (sin x) 2.0))
(t_4 (- (sqrt 5.0) 1.0)))
(if (<= x -0.00078)
(/
(fma (* t_2 t_3) (sqrt 2.0) 2.0)
(fma 6.0 t_1 (fma (* 1.5 (cos x)) t_4 3.0)))
(if (<= x 0.00078)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma
1.5
(-
(fma (* (fma -0.5 (sqrt 5.0) 0.5) x) x (fma t_1 4.0 (sqrt 5.0)))
1.0)
3.0))
(/
(fma t_2 (* t_3 (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos x) t_4 (* (/ 4.0 t_0) (cos y))) 3.0))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + 3.0;
double t_1 = cos(y) / t_0;
double t_2 = fma(-0.0625, cos(x), 0.0625);
double t_3 = pow(sin(x), 2.0);
double t_4 = sqrt(5.0) - 1.0;
double tmp;
if (x <= -0.00078) {
tmp = fma((t_2 * t_3), sqrt(2.0), 2.0) / fma(6.0, t_1, fma((1.5 * cos(x)), t_4, 3.0));
} else if (x <= 0.00078) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, (fma((fma(-0.5, sqrt(5.0), 0.5) * x), x, fma(t_1, 4.0, sqrt(5.0))) - 1.0), 3.0);
} else {
tmp = fma(t_2, (t_3 * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), t_4, ((4.0 / t_0) * cos(y))), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + 3.0) t_1 = Float64(cos(y) / t_0) t_2 = fma(-0.0625, cos(x), 0.0625) t_3 = sin(x) ^ 2.0 t_4 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if (x <= -0.00078) tmp = Float64(fma(Float64(t_2 * t_3), sqrt(2.0), 2.0) / fma(6.0, t_1, fma(Float64(1.5 * cos(x)), t_4, 3.0))); elseif (x <= 0.00078) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, Float64(fma(Float64(fma(-0.5, sqrt(5.0), 0.5) * x), x, fma(t_1, 4.0, sqrt(5.0))) - 1.0), 3.0)); else tmp = Float64(fma(t_2, Float64(t_3 * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(x), t_4, Float64(Float64(4.0 / t_0) * cos(y))), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[y], $MachinePrecision] / t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[LessEqual[x, -0.00078], N[(N[(N[(t$95$2 * t$95$3), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(6.0 * t$95$1 + N[(N[(1.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * t$95$4 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00078], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[(N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision] * x), $MachinePrecision] * x + N[(t$95$1 * 4.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 * N[(t$95$3 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$4 + N[(N[(4.0 / t$95$0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + 3\\
t_1 := \frac{\cos y}{t\_0}\\
t_2 := \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right)\\
t_3 := {\sin x}^{2}\\
t_4 := \sqrt{5} - 1\\
\mathbf{if}\;x \leq -0.00078:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2 \cdot t\_3, \sqrt{2}, 2\right)}{\mathsf{fma}\left(6, t\_1, \mathsf{fma}\left(1.5 \cdot \cos x, t\_4, 3\right)\right)}\\
\mathbf{elif}\;x \leq 0.00078:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right) \cdot x, x, \mathsf{fma}\left(t\_1, 4, \sqrt{5}\right)\right) - 1, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2, t\_3 \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_4, \frac{4}{t\_0} \cdot \cos y\right), 3\right)}\\
\end{array}
\end{array}
if x < -7.79999999999999986e-4Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
Applied rewrites98.9%
Taylor expanded in x around inf
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
+-commutativeN/A
Applied rewrites64.3%
if -7.79999999999999986e-4 < x < 7.79999999999999986e-4Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
Applied rewrites99.1%
if 7.79999999999999986e-4 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Applied rewrites99.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites58.5%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (cos y) (+ (sqrt 5.0) 3.0)))
(t_1
(/
(fma
(* (fma -0.0625 (cos x) 0.0625) (pow (sin x) 2.0))
(sqrt 2.0)
2.0)
(fma 6.0 t_0 (fma (* 1.5 (cos x)) (- (sqrt 5.0) 1.0) 3.0)))))
(if (<= x -0.00078)
t_1
(if (<= x 0.00078)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma
1.5
(-
(fma (* (fma -0.5 (sqrt 5.0) 0.5) x) x (fma t_0 4.0 (sqrt 5.0)))
1.0)
3.0))
t_1))))
double code(double x, double y) {
double t_0 = cos(y) / (sqrt(5.0) + 3.0);
double t_1 = fma((fma(-0.0625, cos(x), 0.0625) * pow(sin(x), 2.0)), sqrt(2.0), 2.0) / fma(6.0, t_0, fma((1.5 * cos(x)), (sqrt(5.0) - 1.0), 3.0));
double tmp;
if (x <= -0.00078) {
tmp = t_1;
} else if (x <= 0.00078) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, (fma((fma(-0.5, sqrt(5.0), 0.5) * x), x, fma(t_0, 4.0, sqrt(5.0))) - 1.0), 3.0);
} else {
tmp = t_1;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(y) / Float64(sqrt(5.0) + 3.0)) t_1 = Float64(fma(Float64(fma(-0.0625, cos(x), 0.0625) * (sin(x) ^ 2.0)), sqrt(2.0), 2.0) / fma(6.0, t_0, fma(Float64(1.5 * cos(x)), Float64(sqrt(5.0) - 1.0), 3.0))) tmp = 0.0 if (x <= -0.00078) tmp = t_1; elseif (x <= 0.00078) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, Float64(fma(Float64(fma(-0.5, sqrt(5.0), 0.5) * x), x, fma(t_0, 4.0, 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[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision] + 2.0), $MachinePrecision] / N[(6.0 * t$95$0 + N[(N[(1.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00078], t$95$1, If[LessEqual[x, 0.00078], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[(N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision] * x), $MachinePrecision] * x + N[(t$95$0 * 4.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\cos y}{\sqrt{5} + 3}\\
t_1 := \frac{\mathsf{fma}\left(\mathsf{fma}\left(-0.0625, \cos x, 0.0625\right) \cdot {\sin x}^{2}, \sqrt{2}, 2\right)}{\mathsf{fma}\left(6, t\_0, \mathsf{fma}\left(1.5 \cdot \cos x, \sqrt{5} - 1, 3\right)\right)}\\
\mathbf{if}\;x \leq -0.00078:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;x \leq 0.00078:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right) \cdot x, x, \mathsf{fma}\left(t\_0, 4, \sqrt{5}\right)\right) - 1, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if x < -7.79999999999999986e-4 or 7.79999999999999986e-4 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Applied rewrites99.0%
Taylor expanded in x around inf
Applied rewrites99.0%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
+-commutativeN/A
Applied rewrites61.5%
if -7.79999999999999986e-4 < x < 7.79999999999999986e-4Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
Applied rewrites99.1%
Final simplification80.6%
(FPCore (x y)
:precision binary64
(let* ((t_0
(fma
1.5
(fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0))
(t_1 (* (pow (sin x) 2.0) (sqrt 2.0)))
(t_2 (fma -0.0625 (cos x) 0.0625)))
(if (<= x -0.00078)
(/ (+ (* t_1 t_2) 2.0) t_0)
(if (<= x 0.0008)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma
1.5
(-
(fma
(* (fma -0.5 (sqrt 5.0) 0.5) x)
x
(fma (/ (cos y) (+ (sqrt 5.0) 3.0)) 4.0 (sqrt 5.0)))
1.0)
3.0))
(/ (fma t_1 t_2 2.0) t_0)))))
double code(double x, double y) {
double t_0 = fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
double t_1 = pow(sin(x), 2.0) * sqrt(2.0);
double t_2 = fma(-0.0625, cos(x), 0.0625);
double tmp;
if (x <= -0.00078) {
tmp = ((t_1 * t_2) + 2.0) / t_0;
} else if (x <= 0.0008) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, (fma((fma(-0.5, sqrt(5.0), 0.5) * x), x, fma((cos(y) / (sqrt(5.0) + 3.0)), 4.0, sqrt(5.0))) - 1.0), 3.0);
} else {
tmp = fma(t_1, t_2, 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0) t_1 = Float64((sin(x) ^ 2.0) * sqrt(2.0)) t_2 = fma(-0.0625, cos(x), 0.0625) tmp = 0.0 if (x <= -0.00078) tmp = Float64(Float64(Float64(t_1 * t_2) + 2.0) / t_0); elseif (x <= 0.0008) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, Float64(fma(Float64(fma(-0.5, sqrt(5.0), 0.5) * x), x, fma(Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), 4.0, sqrt(5.0))) - 1.0), 3.0)); else tmp = Float64(fma(t_1, t_2, 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision]}, If[LessEqual[x, -0.00078], N[(N[(N[(t$95$1 * t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[x, 0.0008], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[(N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision] * x), $MachinePrecision] * x + N[(N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * 4.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * t$95$2 + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)\\
t_1 := {\sin x}^{2} \cdot \sqrt{2}\\
t_2 := \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right)\\
\mathbf{if}\;x \leq -0.00078:\\
\;\;\;\;\frac{t\_1 \cdot t\_2 + 2}{t\_0}\\
\mathbf{elif}\;x \leq 0.0008:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right) \cdot x, x, \mathsf{fma}\left(\frac{\cos y}{\sqrt{5} + 3}, 4, \sqrt{5}\right)\right) - 1, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, t\_2, 2\right)}{t\_0}\\
\end{array}
\end{array}
if x < -7.79999999999999986e-4Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.8%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f64N/A
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6464.1
Applied rewrites64.1%
if -7.79999999999999986e-4 < x < 8.00000000000000038e-4Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
Applied rewrites99.1%
if 8.00000000000000038e-4 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y 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
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6458.4
Applied rewrites58.4%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(/
(fma
(* (pow (sin x) 2.0) (sqrt 2.0))
(fma -0.0625 (cos x) 0.0625)
2.0)
(fma
1.5
(fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0))))
(if (<= x -0.00078)
t_0
(if (<= x 0.0008)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma
1.5
(-
(fma
(* (fma -0.5 (sqrt 5.0) 0.5) x)
x
(fma (/ (cos y) (+ (sqrt 5.0) 3.0)) 4.0 (sqrt 5.0)))
1.0)
3.0))
t_0))))
double code(double x, double y) {
double t_0 = fma((pow(sin(x), 2.0) * sqrt(2.0)), fma(-0.0625, cos(x), 0.0625), 2.0) / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
double tmp;
if (x <= -0.00078) {
tmp = t_0;
} else if (x <= 0.0008) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, (fma((fma(-0.5, sqrt(5.0), 0.5) * x), x, fma((cos(y) / (sqrt(5.0) + 3.0)), 4.0, sqrt(5.0))) - 1.0), 3.0);
} else {
tmp = t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(fma(Float64((sin(x) ^ 2.0) * sqrt(2.0)), fma(-0.0625, cos(x), 0.0625), 2.0) / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) tmp = 0.0 if (x <= -0.00078) tmp = t_0; elseif (x <= 0.0008) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, Float64(fma(Float64(fma(-0.5, sqrt(5.0), 0.5) * x), x, fma(Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), 4.0, sqrt(5.0))) - 1.0), 3.0)); else tmp = t_0; end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00078], t$95$0, If[LessEqual[x, 0.0008], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[(N[(-0.5 * N[Sqrt[5.0], $MachinePrecision] + 0.5), $MachinePrecision] * x), $MachinePrecision] * x + N[(N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * 4.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left({\sin x}^{2} \cdot \sqrt{2}, \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}\\
\mathbf{if}\;x \leq -0.00078:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;x \leq 0.0008:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \sqrt{5}, 0.5\right) \cdot x, x, \mathsf{fma}\left(\frac{\cos y}{\sqrt{5} + 3}, 4, \sqrt{5}\right)\right) - 1, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if x < -7.79999999999999986e-4 or 8.00000000000000038e-4 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y 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
sub-negN/A
metadata-evalN/A
distribute-lft-inN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6461.4
Applied rewrites61.4%
if -7.79999999999999986e-4 < x < 8.00000000000000038e-4Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
Applied rewrites99.1%
Final simplification80.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 3.0 (sqrt 5.0)))
(t_1
(fma
(* (pow (sin y) 2.0) -0.0625)
(* (- 1.0 (cos y)) (sqrt 2.0))
2.0))
(t_2 (- (sqrt 5.0) 1.0)))
(if (<= y -0.038)
(/ t_1 (fma 1.5 (fma (cos y) t_0 t_2) 3.0))
(if (<= y 0.00096)
(/
(fma (* (pow (sin x) 2.0) (sqrt 2.0)) (fma (cos x) -0.0625 0.0625) 2.0)
(fma (* (* -0.75 t_0) y) y (fma 1.5 (fma (cos x) t_2 t_0) 3.0)))
(/ t_1 (fma 1.5 (fma (/ (cos y) (+ (sqrt 5.0) 3.0)) 4.0 t_2) 3.0))))))
double code(double x, double y) {
double t_0 = 3.0 - sqrt(5.0);
double t_1 = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0);
double t_2 = sqrt(5.0) - 1.0;
double tmp;
if (y <= -0.038) {
tmp = t_1 / fma(1.5, fma(cos(y), t_0, t_2), 3.0);
} else if (y <= 0.00096) {
tmp = fma((pow(sin(x), 2.0) * sqrt(2.0)), fma(cos(x), -0.0625, 0.0625), 2.0) / fma(((-0.75 * t_0) * y), y, fma(1.5, fma(cos(x), t_2, t_0), 3.0));
} else {
tmp = t_1 / fma(1.5, fma((cos(y) / (sqrt(5.0) + 3.0)), 4.0, t_2), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 - sqrt(5.0)) t_1 = fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) t_2 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if (y <= -0.038) tmp = Float64(t_1 / fma(1.5, fma(cos(y), t_0, t_2), 3.0)); elseif (y <= 0.00096) tmp = Float64(fma(Float64((sin(x) ^ 2.0) * sqrt(2.0)), fma(cos(x), -0.0625, 0.0625), 2.0) / fma(Float64(Float64(-0.75 * t_0) * y), y, fma(1.5, fma(cos(x), t_2, t_0), 3.0))); else tmp = Float64(t_1 / fma(1.5, fma(Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), 4.0, t_2), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[LessEqual[y, -0.038], N[(t$95$1 / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 0.00096], N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[(-0.75 * t$95$0), $MachinePrecision] * y), $MachinePrecision] * y + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * 4.0 + t$95$2), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 - \sqrt{5}\\
t_1 := \mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)\\
t_2 := \sqrt{5} - 1\\
\mathbf{if}\;y \leq -0.038:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_0, t\_2\right), 3\right)}\\
\mathbf{elif}\;y \leq 0.00096:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2} \cdot \sqrt{2}, \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(\left(-0.75 \cdot t\_0\right) \cdot y, y, \mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_2, t\_0\right), 3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\frac{\cos y}{\sqrt{5} + 3}, 4, t\_2\right), 3\right)}\\
\end{array}
\end{array}
if y < -0.0379999999999999991Initial program 98.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites98.6%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites98.8%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
Applied rewrites56.2%
if -0.0379999999999999991 < y < 9.60000000000000024e-4Initial program 99.4%
Taylor expanded in y 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
sub-negN/A
distribute-rgt-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6498.0
Applied rewrites98.0%
Taylor expanded in y around 0
*-commutativeN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
distribute-lft-inN/A
Applied rewrites98.1%
if 9.60000000000000024e-4 < y 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 rewrites99.3%
Applied rewrites99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6466.1
Applied rewrites66.1%
Taylor expanded in x around 0
Applied rewrites64.9%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (fma (cos x) t_0 (- 3.0 (sqrt 5.0))))
(t_2 (* (pow (sin x) 2.0) (sqrt 2.0))))
(if (<= x -1.8e-6)
(/ (fma t_2 (fma (cos x) -0.0625 0.0625) 2.0) (fma 1.5 t_1 3.0))
(if (<= x 0.27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (/ (cos y) (+ (sqrt 5.0) 3.0)) 4.0 t_0) 3.0))
(*
0.3333333333333333
(/ (fma t_2 (fma -0.0625 (cos x) 0.0625) 2.0) (fma 0.5 t_1 1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma(cos(x), t_0, (3.0 - sqrt(5.0)));
double t_2 = pow(sin(x), 2.0) * sqrt(2.0);
double tmp;
if (x <= -1.8e-6) {
tmp = fma(t_2, fma(cos(x), -0.0625, 0.0625), 2.0) / fma(1.5, t_1, 3.0);
} else if (x <= 0.27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma((cos(y) / (sqrt(5.0) + 3.0)), 4.0, t_0), 3.0);
} else {
tmp = 0.3333333333333333 * (fma(t_2, fma(-0.0625, cos(x), 0.0625), 2.0) / fma(0.5, t_1, 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(cos(x), t_0, Float64(3.0 - sqrt(5.0))) t_2 = Float64((sin(x) ^ 2.0) * sqrt(2.0)) tmp = 0.0 if (x <= -1.8e-6) tmp = Float64(fma(t_2, fma(cos(x), -0.0625, 0.0625), 2.0) / fma(1.5, t_1, 3.0)); elseif (x <= 0.27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), 4.0, t_0), 3.0)); else tmp = Float64(0.3333333333333333 * Float64(fma(t_2, fma(-0.0625, cos(x), 0.0625), 2.0) / fma(0.5, t_1, 1.0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.8e-6], N[(N[(t$95$2 * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * t$95$1 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] * 4.0 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(t$95$2 * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left(\cos x, t\_0, 3 - \sqrt{5}\right)\\
t_2 := {\sin x}^{2} \cdot \sqrt{2}\\
\mathbf{if}\;x \leq -1.8 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2, \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, t\_1, 3\right)}\\
\mathbf{elif}\;x \leq 0.27:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\frac{\cos y}{\sqrt{5} + 3}, 4, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{\mathsf{fma}\left(t\_2, \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 2\right)}{\mathsf{fma}\left(0.5, t\_1, 1\right)}\\
\end{array}
\end{array}
if x < -1.79999999999999992e-6Initial program 98.6%
Taylor expanded in y 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
sub-negN/A
distribute-rgt-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6464.0
Applied rewrites64.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6462.7
Applied rewrites62.7%
if -1.79999999999999992e-6 < x < 0.27000000000000002Initial program 99.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f6498.6
Applied rewrites98.6%
Taylor expanded in x around 0
Applied rewrites98.5%
if 0.27000000000000002 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites57.5%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (* (pow (sin x) 2.0) (sqrt 2.0)))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (fma (cos x) t_0 t_2)))
(if (<= x -1.8e-6)
(/ (fma t_1 (fma (cos x) -0.0625 0.0625) 2.0) (fma 1.5 t_3 3.0))
(if (<= x 0.27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(fma 1.5 (fma (cos y) t_2 t_0) 3.0))
(*
0.3333333333333333
(/ (fma t_1 (fma -0.0625 (cos x) 0.0625) 2.0) (fma 0.5 t_3 1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = pow(sin(x), 2.0) * sqrt(2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = fma(cos(x), t_0, t_2);
double tmp;
if (x <= -1.8e-6) {
tmp = fma(t_1, fma(cos(x), -0.0625, 0.0625), 2.0) / fma(1.5, t_3, 3.0);
} else if (x <= 0.27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0);
} else {
tmp = 0.3333333333333333 * (fma(t_1, fma(-0.0625, cos(x), 0.0625), 2.0) / fma(0.5, t_3, 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64((sin(x) ^ 2.0) * sqrt(2.0)) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = fma(cos(x), t_0, t_2) tmp = 0.0 if (x <= -1.8e-6) tmp = Float64(fma(t_1, fma(cos(x), -0.0625, 0.0625), 2.0) / fma(1.5, t_3, 3.0)); elseif (x <= 0.27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / fma(1.5, fma(cos(y), t_2, t_0), 3.0)); else tmp = Float64(0.3333333333333333 * Float64(fma(t_1, fma(-0.0625, cos(x), 0.0625), 2.0) / fma(0.5, t_3, 1.0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[x], $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision]}, If[LessEqual[x, -1.8e-6], N[(N[(t$95$1 * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * t$95$3 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(t$95$1 * N[(-0.0625 * N[Cos[x], $MachinePrecision] + 0.0625), $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * t$95$3 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := {\sin x}^{2} \cdot \sqrt{2}\\
t_2 := 3 - \sqrt{5}\\
t_3 := \mathsf{fma}\left(\cos x, t\_0, t\_2\right)\\
\mathbf{if}\;x \leq -1.8 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_1, \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, t\_3, 3\right)}\\
\mathbf{elif}\;x \leq 0.27:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos y, t\_2, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{\mathsf{fma}\left(t\_1, \mathsf{fma}\left(-0.0625, \cos x, 0.0625\right), 2\right)}{\mathsf{fma}\left(0.5, t\_3, 1\right)}\\
\end{array}
\end{array}
if x < -1.79999999999999992e-6Initial program 98.6%
Taylor expanded in y 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
sub-negN/A
distribute-rgt-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6464.0
Applied rewrites64.0%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6462.7
Applied rewrites62.7%
if -1.79999999999999992e-6 < x < 0.27000000000000002Initial program 99.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
Applied rewrites98.5%
if 0.27000000000000002 < x Initial program 98.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites98.9%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites57.5%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2
(/
(fma
(* (pow (sin x) 2.0) (sqrt 2.0))
(fma (cos x) -0.0625 0.0625)
2.0)
(fma 1.5 (fma (cos x) t_0 t_1) 3.0))))
(if (<= x -1.8e-6)
t_2
(if (<= x 0.27)
(/
(fma (* (pow (sin y) 2.0) -0.0625) (* (- 1.0 (cos y)) (sqrt 2.0)) 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((pow(sin(x), 2.0) * sqrt(2.0)), fma(cos(x), -0.0625, 0.0625), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0);
double tmp;
if (x <= -1.8e-6) {
tmp = t_2;
} else if (x <= 0.27) {
tmp = fma((pow(sin(y), 2.0) * -0.0625), ((1.0 - cos(y)) * sqrt(2.0)), 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(Float64((sin(x) ^ 2.0) * sqrt(2.0)), fma(cos(x), -0.0625, 0.0625), 2.0) / fma(1.5, fma(cos(x), t_0, t_1), 3.0)) tmp = 0.0 if (x <= -1.8e-6) tmp = t_2; elseif (x <= 0.27) tmp = Float64(fma(Float64((sin(y) ^ 2.0) * -0.0625), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 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[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $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, -1.8e-6], t$95$2, If[LessEqual[x, 0.27], N[(N[(N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[Cos[y], $MachinePrecision] * 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({\sin x}^{2} \cdot \sqrt{2}, \mathsf{fma}\left(\cos x, -0.0625, 0.0625\right), 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, t\_0, t\_1\right), 3\right)}\\
\mathbf{if}\;x \leq -1.8 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;x \leq 0.27:\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin y}^{2} \cdot -0.0625, \left(1 - \cos y\right) \cdot \sqrt{2}, 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 < -1.79999999999999992e-6 or 0.27000000000000002 < x Initial program 98.6%
Taylor expanded in y 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
sub-negN/A
distribute-rgt-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6461.6
Applied rewrites61.6%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
if -1.79999999999999992e-6 < x < 0.27000000000000002Initial program 99.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.6%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
distribute-rgt-inN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
Applied rewrites98.5%
Final simplification79.8%
(FPCore (x y) :precision binary64 (/ (fma (* (pow (sin x) 2.0) (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((pow(sin(x), 2.0) * 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((sin(x) ^ 2.0) * sqrt(2.0)), fma(cos(x), -0.0625, 0.0625), 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[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] * -0.0625 + 0.0625), $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({\sin x}^{2} \cdot \sqrt{2}, \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 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.1%
Taylor expanded in y 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
sub-negN/A
distribute-rgt-inN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-cos.f6463.7
Applied rewrites63.7%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6461.2
Applied rewrites61.2%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma 4.0 (/ (cos y) (+ (sqrt 5.0) 3.0)) (* (- (sqrt 5.0) 1.0) (cos x))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma(4.0, (cos(y) / (sqrt(5.0) + 3.0)), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(4.0, Float64(cos(y) / Float64(sqrt(5.0) + 3.0)), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(4, \frac{\cos y}{\sqrt{5} + 3}, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
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 rewrites99.3%
Taylor expanded in y around 0
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.1%
Taylor expanded in x around 0
Applied rewrites46.2%
Applied rewrites46.2%
Final simplification46.2%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (+ (* (- 3.0 (sqrt 5.0)) (cos y)) (* (- (sqrt 5.0) 1.0) (cos x))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, (((3.0 - sqrt(5.0)) * cos(y)) + ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, Float64(Float64(Float64(3.0 - sqrt(5.0)) * cos(y)) + Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \left(3 - \sqrt{5}\right) \cdot \cos y + \left(\sqrt{5} - 1\right) \cdot \cos x, 3\right)}
\end{array}
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 rewrites99.3%
Taylor expanded in y around 0
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.1%
Taylor expanded in x around 0
Applied rewrites46.2%
Applied rewrites46.2%
Final simplification46.2%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (- 3.0 (sqrt 5.0)) (cos y) (* (- (sqrt 5.0) 1.0) (cos x))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma((3.0 - sqrt(5.0)), cos(y), ((sqrt(5.0) - 1.0) * cos(x))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(Float64(sqrt(5.0) - 1.0) * cos(x))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \left(\sqrt{5} - 1\right) \cdot \cos x\right), 3\right)}
\end{array}
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 rewrites99.3%
Taylor expanded in y around 0
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.1%
Taylor expanded in x around 0
Applied rewrites46.2%
Applied rewrites46.2%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (cos x) (- (sqrt 5.0) 1.0) (* (- 3.0 (sqrt 5.0)) (cos y))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma(cos(x), (sqrt(5.0) - 1.0), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(2.0 / N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}
\end{array}
Initial program 99.1%
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 rewrites99.3%
Taylor expanded in y around 0
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.1%
Taylor expanded in x around 0
Applied rewrites46.2%
(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, fma(cos(x), Float64(sqrt(5.0) - 1.0), Float64(3.0 - sqrt(5.0))), 3.0)) end
code[x_, y_] := N[(2.0 / 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{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\cos x, \sqrt{5} - 1, 3 - \sqrt{5}\right), 3\right)}
\end{array}
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 rewrites99.3%
Taylor expanded in y around 0
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.1%
Taylor expanded in x around 0
Applied rewrites46.2%
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
lower--.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6443.5
Applied rewrites43.5%
herbie shell --seed 2024327
(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))))))