
(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))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(x, y)
use fmin_fmax_functions
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 28 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))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(x, y)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(- (sin x) (/ (sin y) 16.0))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* (- (sqrt 5.0) 1.0) 0.5) (cos x) 1.0)))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(x) - (sin(y) / 16.0)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma(((sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0)));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(x) - Float64(sin(y) / 16.0)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(Float64(sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0)))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x - \frac{\sin y}{16}\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(\left(\sqrt{5} - 1\right) \cdot 0.5, \cos x, 1\right)\right)}
\end{array}
Initial program 99.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.3
Applied rewrites99.3%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(* (- (sin y) (* 0.0625 (sin x))) (- (sin x) (* 0.0625 (sin y))))
(- (cos x) (cos y)))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* (- (sqrt 5.0) 1.0) 0.5) (cos x) 1.0)))))
double code(double x, double y) {
return fma(sqrt(2.0), (((sin(y) - (0.0625 * sin(x))) * (sin(x) - (0.0625 * sin(y)))) * (cos(x) - cos(y))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma(((sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0)));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(Float64(sin(y) - Float64(0.0625 * sin(x))) * Float64(sin(x) - Float64(0.0625 * sin(y)))) * Float64(cos(x) - cos(y))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(Float64(sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0)))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[(N[Sin[y], $MachinePrecision] - N[(0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\left(\sin y - 0.0625 \cdot \sin x\right) \cdot \left(\sin x - 0.0625 \cdot \sin y\right)\right) \cdot \left(\cos x - \cos y\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(\left(\sqrt{5} - 1\right) \cdot 0.5, \cos x, 1\right)\right)}
\end{array}
Initial program 99.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.3
Applied rewrites99.3%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-cos.f6499.4
Applied rewrites99.4%
(FPCore (x y)
:precision binary64
(/
(fma
(* (- (cos x) (cos y)) (sqrt 2.0))
(* (- (sin y) (* 0.0625 (sin x))) (- (sin x) (* 0.0625 (sin y))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* (- (sqrt 5.0) 1.0) 0.5) (cos x) 1.0)))))
double code(double x, double y) {
return fma(((cos(x) - cos(y)) * sqrt(2.0)), ((sin(y) - (0.0625 * sin(x))) * (sin(x) - (0.0625 * sin(y)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma(((sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0)));
}
function code(x, y) return Float64(fma(Float64(Float64(cos(x) - cos(y)) * sqrt(2.0)), Float64(Float64(sin(y) - Float64(0.0625 * sin(x))) * Float64(sin(x) - Float64(0.0625 * sin(y)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(Float64(sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0)))) 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[y], $MachinePrecision] - N[(0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\left(\cos x - \cos y\right) \cdot \sqrt{2}, \left(\sin y - 0.0625 \cdot \sin x\right) \cdot \left(\sin x - 0.0625 \cdot \sin y\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(\left(\sqrt{5} - 1\right) \cdot 0.5, \cos x, 1\right)\right)}
\end{array}
Initial program 99.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.3
Applied rewrites99.3%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.4%
Taylor expanded in x around inf
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.4%
(FPCore (x y) :precision binary64 (/ (fma (* (- (cos x) (cos y)) (sqrt 2.0)) (* (- (sin y) (* 0.0625 (sin x))) (- (sin x) (* 0.0625 (sin y)))) 2.0) (fma 1.5 (* (- 3.0 (sqrt 5.0)) (cos y)) (fma 1.5 (* (cos x) (- (sqrt 5.0) 1.0)) 3.0))))
double code(double x, double y) {
return fma(((cos(x) - cos(y)) * sqrt(2.0)), ((sin(y) - (0.0625 * sin(x))) * (sin(x) - (0.0625 * sin(y)))), 2.0) / fma(1.5, ((3.0 - sqrt(5.0)) * cos(y)), fma(1.5, (cos(x) * (sqrt(5.0) - 1.0)), 3.0));
}
function code(x, y) return Float64(fma(Float64(Float64(cos(x) - cos(y)) * sqrt(2.0)), Float64(Float64(sin(y) - Float64(0.0625 * sin(x))) * Float64(sin(x) - Float64(0.0625 * sin(y)))), 2.0) / fma(1.5, Float64(Float64(3.0 - sqrt(5.0)) * cos(y)), fma(1.5, Float64(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[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(0.0625 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision] + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\left(\cos x - \cos y\right) \cdot \sqrt{2}, \left(\sin y - 0.0625 \cdot \sin x\right) \cdot \left(\sin x - 0.0625 \cdot \sin y\right), 2\right)}{\mathsf{fma}\left(1.5, \left(3 - \sqrt{5}\right) \cdot \cos y, \mathsf{fma}\left(1.5, \cos x \cdot \left(\sqrt{5} - 1\right), 3\right)\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.7
Applied rewrites60.7%
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
distribute-lft-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6460.7
Applied rewrites60.7%
Taylor expanded in x around inf
lower-/.f64N/A
Applied rewrites99.3%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(* (* (- (cos x) (cos y)) (sqrt 2.0)) (fma (sin x) -0.0625 (sin y)))
(fma (sin y) -0.0625 (sin x))))
(fma
1.5
(fma (- (sqrt 5.0) 1.0) (cos x) (* (- 3.0 (sqrt 5.0)) (cos y)))
3.0)))
double code(double x, double y) {
return (2.0 + ((((cos(x) - cos(y)) * sqrt(2.0)) * fma(sin(x), -0.0625, sin(y))) * fma(sin(y), -0.0625, sin(x)))) / fma(1.5, fma((sqrt(5.0) - 1.0), cos(x), ((3.0 - sqrt(5.0)) * cos(y))), 3.0);
}
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(Float64(cos(x) - cos(y)) * sqrt(2.0)) * fma(sin(x), -0.0625, sin(y))) * fma(sin(y), -0.0625, sin(x)))) / fma(1.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))), 3.0)) end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] * -0.0625 + N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] * -0.0625 + N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $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 + \left(\left(\left(\cos x - \cos y\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\sin x, -0.0625, \sin y\right)\right) \cdot \mathsf{fma}\left(\sin y, -0.0625, \sin x\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, \left(3 - \sqrt{5}\right) \cdot \cos y\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites99.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites99.3%
Final simplification99.3%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
2.0
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y)))))
(t_1 (- (sqrt 5.0) 1.0)))
(if (<= x -0.003)
(/
t_0
(fma (/ (fma t_1 (cos x) (* (- 3.0 (sqrt 5.0)) (cos y))) 2.0) 3.0 3.0))
(if (<= x 1.45e-6)
(/
(fma
(sqrt 2.0)
(*
(- 1.0 (cos y))
(fma x (* 1.00390625 (sin y)) (* -0.0625 (pow (sin y) 2.0))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_1 0.5) (cos x) 1.0))))
(/
t_0
(*
3.0
(+
(+ 1.0 (* (/ t_1 2.0) (cos x)))
(* (/ (/ 4.0 (+ (sqrt 5.0) 3.0)) 2.0) (cos y)))))))))
double code(double x, double y) {
double t_0 = 2.0 + (((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)));
double t_1 = sqrt(5.0) - 1.0;
double tmp;
if (x <= -0.003) {
tmp = t_0 / fma((fma(t_1, cos(x), ((3.0 - sqrt(5.0)) * cos(y))) / 2.0), 3.0, 3.0);
} else if (x <= 1.45e-6) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * fma(x, (1.00390625 * sin(y)), (-0.0625 * pow(sin(y), 2.0)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_1 * 0.5), cos(x), 1.0)));
} else {
tmp = t_0 / (3.0 * ((1.0 + ((t_1 / 2.0) * cos(x))) + (((4.0 / (sqrt(5.0) + 3.0)) / 2.0) * cos(y))));
}
return tmp;
}
function code(x, y) t_0 = Float64(2.0 + Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) t_1 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if (x <= -0.003) tmp = Float64(t_0 / fma(Float64(fma(t_1, cos(x), Float64(Float64(3.0 - sqrt(5.0)) * cos(y))) / 2.0), 3.0, 3.0)); elseif (x <= 1.45e-6) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * fma(x, Float64(1.00390625 * sin(y)), Float64(-0.0625 * (sin(y) ^ 2.0)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_1 * 0.5), cos(x), 1.0)))); else tmp = Float64(t_0 / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(t_1 / 2.0) * cos(x))) + Float64(Float64(Float64(4.0 / Float64(sqrt(5.0) + 3.0)) / 2.0) * cos(y))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[LessEqual[x, -0.003], N[(t$95$0 / N[(N[(N[(t$95$1 * N[Cos[x], $MachinePrecision] + N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$1 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(3.0 * N[(N[(1.0 + N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(4.0 / N[(N[Sqrt[5.0], $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 2 + \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)\\
t_1 := \sqrt{5} - 1\\
\mathbf{if}\;x \leq -0.003:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_1, \cos x, \left(3 - \sqrt{5}\right) \cdot \cos y\right)}{2}, 3, 3\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \mathsf{fma}\left(x, 1.00390625 \cdot \sin y, -0.0625 \cdot {\sin y}^{2}\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_1 \cdot 0.5, \cos x, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{3 \cdot \left(\left(1 + \frac{t\_1}{2} \cdot \cos x\right) + \frac{\frac{4}{\sqrt{5} + 3}}{2} \cdot \cos y\right)}\\
\end{array}
\end{array}
if x < -0.0030000000000000001Initial program 98.8%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-*.f64N/A
div-addN/A
Applied rewrites61.0%
if -0.0030000000000000001 < x < 1.4500000000000001e-6Initial program 99.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
distribute-rgt1-inN/A
lower-*.f64N/A
metadata-evalN/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
if 1.4500000000000001e-6 < x Initial program 99.0%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6465.5
Applied rewrites65.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (cos x) (cos y)))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (* (sin x) (sqrt 2.0)))
(t_3 (- (sin y) (/ (sin x) 16.0)))
(t_4 (- 3.0 (sqrt 5.0))))
(if (<= x -0.003)
(/
(+ 2.0 (* (* t_2 t_3) t_0))
(fma (/ (fma t_1 (cos x) (* t_4 (cos y))) 2.0) 3.0 3.0))
(if (<= x 1.45e-6)
(/
(fma
(sqrt 2.0)
(*
(- 1.0 (cos y))
(fma x (* 1.00390625 (sin y)) (* -0.0625 (pow (sin y) 2.0))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_1 0.5) (cos x) 1.0))))
(/
(fma (* t_0 t_3) t_2 2.0)
(*
3.0
(+ (+ 1.0 (* (/ t_1 2.0) (cos x))) (* (/ t_4 2.0) (cos y)))))))))
double code(double x, double y) {
double t_0 = cos(x) - cos(y);
double t_1 = sqrt(5.0) - 1.0;
double t_2 = sin(x) * sqrt(2.0);
double t_3 = sin(y) - (sin(x) / 16.0);
double t_4 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.003) {
tmp = (2.0 + ((t_2 * t_3) * t_0)) / fma((fma(t_1, cos(x), (t_4 * cos(y))) / 2.0), 3.0, 3.0);
} else if (x <= 1.45e-6) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * fma(x, (1.00390625 * sin(y)), (-0.0625 * pow(sin(y), 2.0)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_1 * 0.5), cos(x), 1.0)));
} else {
tmp = fma((t_0 * t_3), t_2, 2.0) / (3.0 * ((1.0 + ((t_1 / 2.0) * cos(x))) + ((t_4 / 2.0) * cos(y))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) - cos(y)) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(sin(x) * sqrt(2.0)) t_3 = Float64(sin(y) - Float64(sin(x) / 16.0)) t_4 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.003) tmp = Float64(Float64(2.0 + Float64(Float64(t_2 * t_3) * t_0)) / fma(Float64(fma(t_1, cos(x), Float64(t_4 * cos(y))) / 2.0), 3.0, 3.0)); elseif (x <= 1.45e-6) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * fma(x, Float64(1.00390625 * sin(y)), Float64(-0.0625 * (sin(y) ^ 2.0)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_1 * 0.5), cos(x), 1.0)))); else tmp = Float64(fma(Float64(t_0 * t_3), t_2, 2.0) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(t_1 / 2.0) * cos(x))) + Float64(Float64(t_4 / 2.0) * cos(y))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.003], N[(N[(2.0 + N[(N[(t$95$2 * t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(t$95$1 * N[Cos[x], $MachinePrecision] + N[(t$95$4 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$1 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$0 * t$95$3), $MachinePrecision] * t$95$2 + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(t$95$1 / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x - \cos y\\
t_1 := \sqrt{5} - 1\\
t_2 := \sin x \cdot \sqrt{2}\\
t_3 := \sin y - \frac{\sin x}{16}\\
t_4 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.003:\\
\;\;\;\;\frac{2 + \left(t\_2 \cdot t\_3\right) \cdot t\_0}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_1, \cos x, t\_4 \cdot \cos y\right)}{2}, 3, 3\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \mathsf{fma}\left(x, 1.00390625 \cdot \sin y, -0.0625 \cdot {\sin y}^{2}\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_1 \cdot 0.5, \cos x, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0 \cdot t\_3, t\_2, 2\right)}{3 \cdot \left(\left(1 + \frac{t\_1}{2} \cdot \cos x\right) + \frac{t\_4}{2} \cdot \cos y\right)}\\
\end{array}
\end{array}
if x < -0.0030000000000000001Initial program 98.8%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-*.f64N/A
div-addN/A
Applied rewrites61.0%
if -0.0030000000000000001 < x < 1.4500000000000001e-6Initial program 99.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
distribute-rgt1-inN/A
lower-*.f64N/A
metadata-evalN/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
if 1.4500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6465.5
Applied rewrites65.5%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
Applied rewrites65.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
2.0
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y)))))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -0.003)
(/ t_0 (fma (/ (fma t_1 (cos x) (* t_2 (cos y))) 2.0) 3.0 3.0))
(if (<= x 1.45e-6)
(/
(fma
(sqrt 2.0)
(*
(- 1.0 (cos y))
(fma x (* 1.00390625 (sin y)) (* -0.0625 (pow (sin y) 2.0))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_1 0.5) (cos x) 1.0))))
(/ t_0 (* 3.0 (fma (fma t_2 (cos y) (* (cos x) t_1)) 0.5 1.0)))))))
double code(double x, double y) {
double t_0 = 2.0 + (((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)));
double t_1 = sqrt(5.0) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -0.003) {
tmp = t_0 / fma((fma(t_1, cos(x), (t_2 * cos(y))) / 2.0), 3.0, 3.0);
} else if (x <= 1.45e-6) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * fma(x, (1.00390625 * sin(y)), (-0.0625 * pow(sin(y), 2.0)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_1 * 0.5), cos(x), 1.0)));
} else {
tmp = t_0 / (3.0 * fma(fma(t_2, cos(y), (cos(x) * t_1)), 0.5, 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(2.0 + Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -0.003) tmp = Float64(t_0 / fma(Float64(fma(t_1, cos(x), Float64(t_2 * cos(y))) / 2.0), 3.0, 3.0)); elseif (x <= 1.45e-6) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * fma(x, Float64(1.00390625 * sin(y)), Float64(-0.0625 * (sin(y) ^ 2.0)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_1 * 0.5), cos(x), 1.0)))); else tmp = Float64(t_0 / Float64(3.0 * fma(fma(t_2, cos(y), Float64(cos(x) * t_1)), 0.5, 1.0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.003], N[(t$95$0 / N[(N[(N[(t$95$1 * N[Cos[x], $MachinePrecision] + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * 3.0 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$1 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(3.0 * N[(N[(t$95$2 * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 2 + \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)\\
t_1 := \sqrt{5} - 1\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -0.003:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_1, \cos x, t\_2 \cdot \cos y\right)}{2}, 3, 3\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \mathsf{fma}\left(x, 1.00390625 \cdot \sin y, -0.0625 \cdot {\sin y}^{2}\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_1 \cdot 0.5, \cos x, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{3 \cdot \mathsf{fma}\left(\mathsf{fma}\left(t\_2, \cos y, \cos x \cdot t\_1\right), 0.5, 1\right)}\\
\end{array}
\end{array}
if x < -0.0030000000000000001Initial program 98.8%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
lift-*.f64N/A
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-*.f64N/A
div-addN/A
Applied rewrites61.0%
if -0.0030000000000000001 < x < 1.4500000000000001e-6Initial program 99.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
distribute-rgt1-inN/A
lower-*.f64N/A
metadata-evalN/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
if 1.4500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6465.5
Applied rewrites65.5%
Taylor expanded in x around inf
distribute-lft-inN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.5%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
2.0
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y)))))
(t_1 (- (sqrt 5.0) 1.0))
(t_2 (fma (- 3.0 (sqrt 5.0)) (cos y) (* (cos x) t_1))))
(if (<= x -0.003)
(/ t_0 (fma 1.5 t_2 3.0))
(if (<= x 1.45e-6)
(/
(fma
(sqrt 2.0)
(*
(- 1.0 (cos y))
(fma x (* 1.00390625 (sin y)) (* -0.0625 (pow (sin y) 2.0))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_1 0.5) (cos x) 1.0))))
(/ t_0 (* 3.0 (fma t_2 0.5 1.0)))))))
double code(double x, double y) {
double t_0 = 2.0 + (((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)));
double t_1 = sqrt(5.0) - 1.0;
double t_2 = fma((3.0 - sqrt(5.0)), cos(y), (cos(x) * t_1));
double tmp;
if (x <= -0.003) {
tmp = t_0 / fma(1.5, t_2, 3.0);
} else if (x <= 1.45e-6) {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * fma(x, (1.00390625 * sin(y)), (-0.0625 * pow(sin(y), 2.0)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_1 * 0.5), cos(x), 1.0)));
} else {
tmp = t_0 / (3.0 * fma(t_2, 0.5, 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(2.0 + Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) t_1 = Float64(sqrt(5.0) - 1.0) t_2 = fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(cos(x) * t_1)) tmp = 0.0 if (x <= -0.003) tmp = Float64(t_0 / fma(1.5, t_2, 3.0)); elseif (x <= 1.45e-6) tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * fma(x, Float64(1.00390625 * sin(y)), Float64(-0.0625 * (sin(y) ^ 2.0)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_1 * 0.5), cos(x), 1.0)))); else tmp = Float64(t_0 / Float64(3.0 * fma(t_2, 0.5, 1.0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.003], N[(t$95$0 / N[(1.5 * t$95$2 + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$1 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(3.0 * N[(t$95$2 * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 2 + \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)\\
t_1 := \sqrt{5} - 1\\
t_2 := \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \cos x \cdot t\_1\right)\\
\mathbf{if}\;x \leq -0.003:\\
\;\;\;\;\frac{t\_0}{\mathsf{fma}\left(1.5, t\_2, 3\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \mathsf{fma}\left(x, 1.00390625 \cdot \sin y, -0.0625 \cdot {\sin y}^{2}\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_1 \cdot 0.5, \cos x, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0}{3 \cdot \mathsf{fma}\left(t\_2, 0.5, 1\right)}\\
\end{array}
\end{array}
if x < -0.0030000000000000001Initial program 98.8%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
Taylor expanded in x around inf
distribute-lft-inN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites60.9%
if -0.0030000000000000001 < x < 1.4500000000000001e-6Initial program 99.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
distribute-rgt1-inN/A
lower-*.f64N/A
metadata-evalN/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
if 1.4500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6465.5
Applied rewrites65.5%
Taylor expanded in x around inf
distribute-lft-inN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites65.5%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)))
(if (or (<= x -0.003) (not (<= x 1.45e-6)))
(/
(+
2.0
(*
(* (* (sin x) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(fma 1.5 (fma (- 3.0 (sqrt 5.0)) (cos y) (* (cos x) t_0)) 3.0))
(/
(fma
(sqrt 2.0)
(*
(- 1.0 (cos y))
(fma x (* 1.00390625 (sin y)) (* -0.0625 (pow (sin y) 2.0))))
2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_0 0.5) (cos x) 1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double tmp;
if ((x <= -0.003) || !(x <= 1.45e-6)) {
tmp = (2.0 + (((sin(x) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / fma(1.5, fma((3.0 - sqrt(5.0)), cos(y), (cos(x) * t_0)), 3.0);
} else {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * fma(x, (1.00390625 * sin(y)), (-0.0625 * pow(sin(y), 2.0)))), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_0 * 0.5), cos(x), 1.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if ((x <= -0.003) || !(x <= 1.45e-6)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sin(x) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / fma(1.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(cos(x) * t_0)), 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * fma(x, Float64(1.00390625 * sin(y)), Float64(-0.0625 * (sin(y) ^ 2.0)))), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_0 * 0.5), cos(x), 1.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.003], N[Not[LessEqual[x, 1.45e-6]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Sin[x], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$0 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
\mathbf{if}\;x \leq -0.003 \lor \neg \left(x \leq 1.45 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + \left(\left(\sin x \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \cos x \cdot t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \mathsf{fma}\left(x, 1.00390625 \cdot \sin y, -0.0625 \cdot {\sin y}^{2}\right), 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_0 \cdot 0.5, \cos x, 1\right)\right)}\\
\end{array}
\end{array}
if x < -0.0030000000000000001 or 1.4500000000000001e-6 < x Initial program 98.9%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6463.3
Applied rewrites63.3%
Taylor expanded in x around inf
distribute-lft-inN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites63.3%
if -0.0030000000000000001 < x < 1.4500000000000001e-6Initial program 99.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
distribute-rgt1-inN/A
lower-*.f64N/A
metadata-evalN/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
Final simplification81.1%
(FPCore (x y)
:precision binary64
(let* ((t_0
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* (- (sqrt 5.0) 1.0) 0.5) (cos x) 1.0)))))
(if (or (<= x -0.003) (not (<= x 1.45e-6)))
(/
(+
2.0
(* (* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)) (- (cos x) (cos y))))
t_0)
(/
(fma
(sqrt 2.0)
(*
(- 1.0 (cos y))
(fma x (* 1.00390625 (sin y)) (* -0.0625 (pow (sin y) 2.0))))
2.0)
t_0))))
double code(double x, double y) {
double t_0 = 3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma(((sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0));
double tmp;
if ((x <= -0.003) || !(x <= 1.45e-6)) {
tmp = (2.0 + (((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y)))) / t_0;
} else {
tmp = fma(sqrt(2.0), ((1.0 - cos(y)) * fma(x, (1.00390625 * sin(y)), (-0.0625 * pow(sin(y), 2.0)))), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(Float64(sqrt(5.0) - 1.0) * 0.5), cos(x), 1.0))) tmp = 0.0 if ((x <= -0.003) || !(x <= 1.45e-6)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y)))) / t_0); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(1.0 - cos(y)) * fma(x, Float64(1.00390625 * sin(y)), Float64(-0.0625 * (sin(y) ^ 2.0)))), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.003], N[Not[LessEqual[x, 1.45e-6]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(x * N[(1.00390625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(\left(\sqrt{5} - 1\right) \cdot 0.5, \cos x, 1\right)\right)\\
\mathbf{if}\;x \leq -0.003 \lor \neg \left(x \leq 1.45 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + \left(\left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(1 - \cos y\right) \cdot \mathsf{fma}\left(x, 1.00390625 \cdot \sin y, -0.0625 \cdot {\sin y}^{2}\right), 2\right)}{t\_0}\\
\end{array}
\end{array}
if x < -0.0030000000000000001 or 1.4500000000000001e-6 < x Initial program 98.9%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6460.2
Applied rewrites60.2%
if -0.0030000000000000001 < x < 1.4500000000000001e-6Initial program 99.6%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
distribute-rgt1-inN/A
lower-*.f64N/A
metadata-evalN/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6499.7
Applied rewrites99.7%
Final simplification79.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)))
(if (or (<= x -1.42e-5) (not (<= x 1.45e-6)))
(/
(+
2.0
(* (* (* (pow (sin x) 2.0) -0.0625) (sqrt 2.0)) (- (cos x) (cos y))))
(*
3.0
(fma (/ (cos y) (+ 3.0 (sqrt 5.0))) 2.0 (fma (* t_0 0.5) (cos x) 1.0))))
(/
(+
2.0
(*
(fma
(* (* (sqrt 2.0) x) 1.00390625)
(sin y)
(* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)))
(- 1.0 (cos y))))
(fma 1.5 (fma (- 3.0 (sqrt 5.0)) (cos y) t_0) 3.0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double tmp;
if ((x <= -1.42e-5) || !(x <= 1.45e-6)) {
tmp = (2.0 + (((pow(sin(x), 2.0) * -0.0625) * sqrt(2.0)) * (cos(x) - cos(y)))) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_0 * 0.5), cos(x), 1.0)));
} else {
tmp = (2.0 + (fma(((sqrt(2.0) * x) * 1.00390625), sin(y), ((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0))) * (1.0 - cos(y)))) / fma(1.5, fma((3.0 - sqrt(5.0)), cos(y), t_0), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if ((x <= -1.42e-5) || !(x <= 1.45e-6)) tmp = Float64(Float64(2.0 + Float64(Float64(Float64((sin(x) ^ 2.0) * -0.0625) * sqrt(2.0)) * Float64(cos(x) - cos(y)))) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_0 * 0.5), cos(x), 1.0)))); else tmp = Float64(Float64(2.0 + Float64(fma(Float64(Float64(sqrt(2.0) * x) * 1.00390625), sin(y), Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0))) * Float64(1.0 - cos(y)))) / fma(1.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), t_0), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[Or[LessEqual[x, -1.42e-5], N[Not[LessEqual[x, 1.45e-6]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$0 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * x), $MachinePrecision] * 1.00390625), $MachinePrecision] * N[Sin[y], $MachinePrecision] + N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
\mathbf{if}\;x \leq -1.42 \cdot 10^{-5} \lor \neg \left(x \leq 1.45 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + \left(\left({\sin x}^{2} \cdot -0.0625\right) \cdot \sqrt{2}\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_0 \cdot 0.5, \cos x, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(\left(\sqrt{2} \cdot x\right) \cdot 1.00390625, \sin y, \left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, t\_0\right), 3\right)}\\
\end{array}
\end{array}
if x < -1.42e-5 or 1.4500000000000001e-6 < x Initial program 98.9%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.1%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6460.5
Applied rewrites60.5%
if -1.42e-5 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower-sin.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- (cos x) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (* -0.0625 (pow (sin x) 2.0))))
(if (<= x -1.42e-5)
(/
(/ (fma (* t_1 (sqrt 2.0)) t_3 2.0) 3.0)
(+ (/ (fma t_0 (cos x) (* t_2 (cos y))) 2.0) 1.0))
(if (<= x 1.45e-6)
(/
(+
2.0
(*
(fma
(* (* (sqrt 2.0) x) 1.00390625)
(sin y)
(* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)))
(- 1.0 (cos y))))
(fma 1.5 (fma t_2 (cos y) t_0) 3.0))
(/
(fma (sqrt 2.0) (* t_3 t_1) 2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_0 0.5) (cos x) 1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = cos(x) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = -0.0625 * pow(sin(x), 2.0);
double tmp;
if (x <= -1.42e-5) {
tmp = (fma((t_1 * sqrt(2.0)), t_3, 2.0) / 3.0) / ((fma(t_0, cos(x), (t_2 * cos(y))) / 2.0) + 1.0);
} else if (x <= 1.45e-6) {
tmp = (2.0 + (fma(((sqrt(2.0) * x) * 1.00390625), sin(y), ((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0))) * (1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0);
} else {
tmp = fma(sqrt(2.0), (t_3 * t_1), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_0 * 0.5), cos(x), 1.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(cos(x) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(-0.0625 * (sin(x) ^ 2.0)) tmp = 0.0 if (x <= -1.42e-5) tmp = Float64(Float64(fma(Float64(t_1 * sqrt(2.0)), t_3, 2.0) / 3.0) / Float64(Float64(fma(t_0, cos(x), Float64(t_2 * cos(y))) / 2.0) + 1.0)); elseif (x <= 1.45e-6) tmp = Float64(Float64(2.0 + Float64(fma(Float64(Float64(sqrt(2.0) * x) * 1.00390625), sin(y), Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0))) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(t_3 * t_1), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_0 * 0.5), cos(x), 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] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.42e-5], N[(N[(N[(N[(t$95$1 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / 3.0), $MachinePrecision] / N[(N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(2.0 + N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * x), $MachinePrecision] * 1.00390625), $MachinePrecision] * N[Sin[y], $MachinePrecision] + N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$0 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \cos x - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := -0.0625 \cdot {\sin x}^{2}\\
\mathbf{if}\;x \leq -1.42 \cdot 10^{-5}:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(t\_1 \cdot \sqrt{2}, t\_3, 2\right)}{3}}{\frac{\mathsf{fma}\left(t\_0, \cos x, t\_2 \cdot \cos y\right)}{2} + 1}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \mathsf{fma}\left(\left(\sqrt{2} \cdot x\right) \cdot 1.00390625, \sin y, \left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_3 \cdot t\_1, 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_0 \cdot 0.5, \cos x, 1\right)\right)}\\
\end{array}
\end{array}
if x < -1.42e-5Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
Applied rewrites58.3%
if -1.42e-5 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower-sin.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
if 1.4500000000000001e-6 < x Initial program 99.0%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)))
(if (or (<= y -6.8e-10) (not (<= y 1.3e-6)))
(/
(fma (* -0.0625 (pow (sin y) 2.0)) (* (- 1.0 (cos y)) (sqrt 2.0)) 2.0)
(*
3.0
(fma (/ (cos y) (+ 3.0 (sqrt 5.0))) 2.0 (fma (* t_0 0.5) (cos x) 1.0))))
(*
(/
(fma (* -0.0625 (pow (sin x) 2.0)) (* (- (cos x) 1.0) (sqrt 2.0)) 2.0)
(fma 0.5 (fma t_0 (cos x) (- 3.0 (sqrt 5.0))) 1.0))
0.3333333333333333))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double tmp;
if ((y <= -6.8e-10) || !(y <= 1.3e-6)) {
tmp = fma((-0.0625 * pow(sin(y), 2.0)), ((1.0 - cos(y)) * sqrt(2.0)), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_0 * 0.5), cos(x), 1.0)));
} else {
tmp = (fma((-0.0625 * pow(sin(x), 2.0)), ((cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(0.5, fma(t_0, cos(x), (3.0 - sqrt(5.0))), 1.0)) * 0.3333333333333333;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) tmp = 0.0 if ((y <= -6.8e-10) || !(y <= 1.3e-6)) tmp = Float64(fma(Float64(-0.0625 * (sin(y) ^ 2.0)), Float64(Float64(1.0 - cos(y)) * sqrt(2.0)), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_0 * 0.5), cos(x), 1.0)))); else tmp = Float64(Float64(fma(Float64(-0.0625 * (sin(x) ^ 2.0)), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(0.5, fma(t_0, cos(x), Float64(3.0 - sqrt(5.0))), 1.0)) * 0.3333333333333333); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, If[Or[LessEqual[y, -6.8e-10], N[Not[LessEqual[y, 1.3e-6]], $MachinePrecision]], N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$0 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
\mathbf{if}\;y \leq -6.8 \cdot 10^{-10} \lor \neg \left(y \leq 1.3 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625 \cdot {\sin y}^{2}, \left(1 - \cos y\right) \cdot \sqrt{2}, 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_0 \cdot 0.5, \cos x, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625 \cdot {\sin x}^{2}, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos x, 3 - \sqrt{5}\right), 1\right)} \cdot 0.3333333333333333\\
\end{array}
\end{array}
if y < -6.8000000000000003e-10 or 1.30000000000000005e-6 < y Initial program 99.1%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.2
Applied rewrites99.2%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
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.f6461.8
Applied rewrites61.8%
if -6.8000000000000003e-10 < y < 1.30000000000000005e-6Initial program 99.5%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6499.3
Applied rewrites99.3%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.3%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- (cos x) 1.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (* -0.0625 (pow (sin x) 2.0))))
(if (<= x -1.42e-5)
(/
(/ (fma (* t_1 (sqrt 2.0)) t_3 2.0) 3.0)
(+ (/ (fma t_0 (cos x) (* t_2 (cos y))) 2.0) 1.0))
(if (<= x 1.45e-6)
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (fma -0.0625 (sin y) x))
(- (sin y) (/ (sin x) 16.0)))
(- 1.0 (cos y))))
(fma 1.5 (fma t_2 (cos y) t_0) 3.0))
(/
(fma (sqrt 2.0) (* t_3 t_1) 2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_0 0.5) (cos x) 1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = cos(x) - 1.0;
double t_2 = 3.0 - sqrt(5.0);
double t_3 = -0.0625 * pow(sin(x), 2.0);
double tmp;
if (x <= -1.42e-5) {
tmp = (fma((t_1 * sqrt(2.0)), t_3, 2.0) / 3.0) / ((fma(t_0, cos(x), (t_2 * cos(y))) / 2.0) + 1.0);
} else if (x <= 1.45e-6) {
tmp = (2.0 + (((sqrt(2.0) * fma(-0.0625, sin(y), x)) * (sin(y) - (sin(x) / 16.0))) * (1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0);
} else {
tmp = fma(sqrt(2.0), (t_3 * t_1), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_0 * 0.5), cos(x), 1.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(cos(x) - 1.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(-0.0625 * (sin(x) ^ 2.0)) tmp = 0.0 if (x <= -1.42e-5) tmp = Float64(Float64(fma(Float64(t_1 * sqrt(2.0)), t_3, 2.0) / 3.0) / Float64(Float64(fma(t_0, cos(x), Float64(t_2 * cos(y))) / 2.0) + 1.0)); elseif (x <= 1.45e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * fma(-0.0625, sin(y), x)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(t_3 * t_1), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_0 * 0.5), cos(x), 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] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.42e-5], N[(N[(N[(N[(t$95$1 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / 3.0), $MachinePrecision] / N[(N[(N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(t$95$3 * t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$0 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \cos x - 1\\
t_2 := 3 - \sqrt{5}\\
t_3 := -0.0625 \cdot {\sin x}^{2}\\
\mathbf{if}\;x \leq -1.42 \cdot 10^{-5}:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(t\_1 \cdot \sqrt{2}, t\_3, 2\right)}{3}}{\frac{\mathsf{fma}\left(t\_0, \cos x, t\_2 \cdot \cos y\right)}{2} + 1}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, t\_3 \cdot t\_1, 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_0 \cdot 0.5, \cos x, 1\right)\right)}\\
\end{array}
\end{array}
if x < -1.42e-5Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
Applied rewrites58.3%
if -1.42e-5 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 1.4500000000000001e-6 < x Initial program 99.0%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- (cos x) 1.0))
(t_2 (pow (sin x) 2.0))
(t_3 (- 3.0 (sqrt 5.0))))
(if (<= x -1.42e-5)
(/
(fma (* t_2 -0.0625) (* t_1 (sqrt 2.0)) 2.0)
(fma 1.5 (fma t_0 (cos x) (* t_3 (cos y))) 3.0))
(if (<= x 1.45e-6)
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (fma -0.0625 (sin y) x))
(- (sin y) (/ (sin x) 16.0)))
(- 1.0 (cos y))))
(fma 1.5 (fma t_3 (cos y) t_0) 3.0))
(/
(fma (sqrt 2.0) (* (* -0.0625 t_2) t_1) 2.0)
(*
3.0
(fma
(/ (cos y) (+ 3.0 (sqrt 5.0)))
2.0
(fma (* t_0 0.5) (cos x) 1.0))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = cos(x) - 1.0;
double t_2 = pow(sin(x), 2.0);
double t_3 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -1.42e-5) {
tmp = fma((t_2 * -0.0625), (t_1 * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), (t_3 * cos(y))), 3.0);
} else if (x <= 1.45e-6) {
tmp = (2.0 + (((sqrt(2.0) * fma(-0.0625, sin(y), x)) * (sin(y) - (sin(x) / 16.0))) * (1.0 - cos(y)))) / fma(1.5, fma(t_3, cos(y), t_0), 3.0);
} else {
tmp = fma(sqrt(2.0), ((-0.0625 * t_2) * t_1), 2.0) / (3.0 * fma((cos(y) / (3.0 + sqrt(5.0))), 2.0, fma((t_0 * 0.5), cos(x), 1.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(cos(x) - 1.0) t_2 = sin(x) ^ 2.0 t_3 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -1.42e-5) tmp = Float64(fma(Float64(t_2 * -0.0625), Float64(t_1 * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), Float64(t_3 * cos(y))), 3.0)); elseif (x <= 1.45e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * fma(-0.0625, sin(y), x)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_3, cos(y), t_0), 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(-0.0625 * t_2) * t_1), 2.0) / Float64(3.0 * fma(Float64(cos(y) / Float64(3.0 + sqrt(5.0))), 2.0, fma(Float64(t_0 * 0.5), cos(x), 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] - 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.42e-5], N[(N[(N[(t$95$2 * -0.0625), $MachinePrecision] * N[(t$95$1 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$3 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$3 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(-0.0625 * t$95$2), $MachinePrecision] * t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 * N[(N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(t$95$0 * 0.5), $MachinePrecision] * N[Cos[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \cos x - 1\\
t_2 := {\sin x}^{2}\\
t_3 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -1.42 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2 \cdot -0.0625, t\_1 \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_3 \cdot \cos y\right), 3\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_3, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(-0.0625 \cdot t\_2\right) \cdot t\_1, 2\right)}{3 \cdot \mathsf{fma}\left(\frac{\cos y}{3 + \sqrt{5}}, 2, \mathsf{fma}\left(t\_0 \cdot 0.5, \cos x, 1\right)\right)}\\
\end{array}
\end{array}
if x < -1.42e-5Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites58.2%
if -1.42e-5 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 1.4500000000000001e-6 < x Initial program 99.0%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.2%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower--.f64N/A
lower-cos.f6462.3
Applied rewrites62.3%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (pow (sin x) 2.0) -0.0625)
(* (- (cos x) 1.0) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -1.42e-5)
(/ t_1 (fma 1.5 (fma t_0 (cos x) (* t_2 (cos y))) 3.0))
(if (<= x 1.45e-6)
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (fma -0.0625 (sin y) x))
(- (sin y) (/ (sin x) 16.0)))
(- 1.0 (cos y))))
(fma 1.5 (fma t_2 (cos y) t_0) 3.0))
(/ t_1 (* 3.0 (fma 0.5 (fma t_2 (cos y) (* t_0 (cos x))) 1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -1.42e-5) {
tmp = t_1 / fma(1.5, fma(t_0, cos(x), (t_2 * cos(y))), 3.0);
} else if (x <= 1.45e-6) {
tmp = (2.0 + (((sqrt(2.0) * fma(-0.0625, sin(y), x)) * (sin(y) - (sin(x) / 16.0))) * (1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0);
} else {
tmp = t_1 / (3.0 * fma(0.5, fma(t_2, cos(y), (t_0 * cos(x))), 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -1.42e-5) tmp = Float64(t_1 / fma(1.5, fma(t_0, cos(x), Float64(t_2 * cos(y))), 3.0)); elseif (x <= 1.45e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * fma(-0.0625, sin(y), x)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0)); else tmp = Float64(t_1 / Float64(3.0 * fma(0.5, fma(t_2, cos(y), Float64(t_0 * cos(x))), 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[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $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[x, -1.42e-5], N[(t$95$1 / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[Sin[y], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 * N[(0.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -1.42 \cdot 10^{-5}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_2 \cdot \cos y\right), 3\right)}\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(\sqrt{2} \cdot \mathsf{fma}\left(-0.0625, \sin y, x\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{3 \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_2, \cos y, t\_0 \cdot \cos x\right), 1\right)}\\
\end{array}
\end{array}
if x < -1.42e-5Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites58.2%
if -1.42e-5 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
lower-fma.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 1.4500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6462.2
Applied rewrites62.2%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6462.2
Applied rewrites62.2%
Final simplification79.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (pow (sin x) 2.0) -0.0625)
(* (- (cos x) 1.0) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -3.5e-6)
(/ t_1 (fma 1.5 (fma t_0 (cos x) (* t_2 (cos y))) 3.0))
(if (<= x 1.25e-6)
(/
(+
2.0
(*
(* (* (* -0.0625 (sin y)) (sqrt 2.0)) (- (sin y) (/ (sin x) 16.0)))
(- 1.0 (cos y))))
(fma 1.5 (fma t_2 (cos y) t_0) 3.0))
(/ t_1 (* 3.0 (fma 0.5 (fma t_2 (cos y) (* t_0 (cos x))) 1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -3.5e-6) {
tmp = t_1 / fma(1.5, fma(t_0, cos(x), (t_2 * cos(y))), 3.0);
} else if (x <= 1.25e-6) {
tmp = (2.0 + ((((-0.0625 * sin(y)) * sqrt(2.0)) * (sin(y) - (sin(x) / 16.0))) * (1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0);
} else {
tmp = t_1 / (3.0 * fma(0.5, fma(t_2, cos(y), (t_0 * cos(x))), 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -3.5e-6) tmp = Float64(t_1 / fma(1.5, fma(t_0, cos(x), Float64(t_2 * cos(y))), 3.0)); elseif (x <= 1.25e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(Float64(-0.0625 * sin(y)) * sqrt(2.0)) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0)); else tmp = Float64(t_1 / Float64(3.0 * fma(0.5, fma(t_2, cos(y), Float64(t_0 * cos(x))), 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[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $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[x, -3.5e-6], N[(t$95$1 / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.25e-6], N[(N[(2.0 + N[(N[(N[(N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 * N[(0.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_2 \cdot \cos y\right), 3\right)}\\
\mathbf{elif}\;x \leq 1.25 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(\left(-0.0625 \cdot \sin y\right) \cdot \sqrt{2}\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{3 \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_2, \cos y, t\_0 \cdot \cos x\right), 1\right)}\\
\end{array}
\end{array}
if x < -3.49999999999999995e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites58.2%
if -3.49999999999999995e-6 < x < 1.2500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
associate-*r*N/A
metadata-evalN/A
lower-*.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sqrt.f6498.5
Applied rewrites98.5%
if 1.2500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6462.2
Applied rewrites62.2%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6462.2
Applied rewrites62.2%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (pow (sin x) 2.0) -0.0625)
(* (- (cos x) 1.0) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0))))
(if (<= x -3.5e-6)
(/ t_1 (fma 1.5 (fma t_0 (cos x) (* t_2 (cos y))) 3.0))
(if (<= x 1.25e-6)
(/
(+
2.0
(* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_2 (cos y) t_0) 3.0))
(/ t_1 (* 3.0 (fma 0.5 (fma t_2 (cos y) (* t_0 (cos x))) 1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double tmp;
if (x <= -3.5e-6) {
tmp = t_1 / fma(1.5, fma(t_0, cos(x), (t_2 * cos(y))), 3.0);
} else if (x <= 1.25e-6) {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0);
} else {
tmp = t_1 / (3.0 * fma(0.5, fma(t_2, cos(y), (t_0 * cos(x))), 1.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if (x <= -3.5e-6) tmp = Float64(t_1 / fma(1.5, fma(t_0, cos(x), Float64(t_2 * cos(y))), 3.0)); elseif (x <= 1.25e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0)); else tmp = Float64(t_1 / Float64(3.0 * fma(0.5, fma(t_2, cos(y), Float64(t_0 * cos(x))), 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[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $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[x, -3.5e-6], N[(t$95$1 / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.25e-6], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(3.0 * N[(0.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + N[(t$95$0 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_2 \cdot \cos y\right), 3\right)}\\
\mathbf{elif}\;x \leq 1.25 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{3 \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_2, \cos y, t\_0 \cdot \cos x\right), 1\right)}\\
\end{array}
\end{array}
if x < -3.49999999999999995e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites58.2%
if -3.49999999999999995e-6 < x < 1.2500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
if 1.2500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6462.2
Applied rewrites62.2%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f6462.2
Applied rewrites62.2%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1
(fma
(* (pow (sin x) 2.0) -0.0625)
(* (- (cos x) 1.0) (sqrt 2.0))
2.0))
(t_2 (- 3.0 (sqrt 5.0)))
(t_3 (* t_2 (cos y))))
(if (<= x -3.5e-6)
(/ t_1 (fma 1.5 (fma t_0 (cos x) t_3) 3.0))
(if (<= x 1.25e-6)
(/
(+
2.0
(* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_2 (cos y) t_0) 3.0))
(/ t_1 (fma 1.5 t_3 (fma 1.5 (* (cos x) t_0) 3.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0);
double t_2 = 3.0 - sqrt(5.0);
double t_3 = t_2 * cos(y);
double tmp;
if (x <= -3.5e-6) {
tmp = t_1 / fma(1.5, fma(t_0, cos(x), t_3), 3.0);
} else if (x <= 1.25e-6) {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0);
} else {
tmp = t_1 / fma(1.5, t_3, fma(1.5, (cos(x) * t_0), 3.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) t_2 = Float64(3.0 - sqrt(5.0)) t_3 = Float64(t_2 * cos(y)) tmp = 0.0 if (x <= -3.5e-6) tmp = Float64(t_1 / fma(1.5, fma(t_0, cos(x), t_3), 3.0)); elseif (x <= 1.25e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_2, cos(y), t_0), 3.0)); else tmp = Float64(t_1 / fma(1.5, t_3, fma(1.5, Float64(cos(x) * t_0), 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[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[Cos[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -3.5e-6], N[(t$95$1 / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.25e-6], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$2 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(1.5 * t$95$3 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := \mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)\\
t_2 := 3 - \sqrt{5}\\
t_3 := t\_2 \cdot \cos y\\
\mathbf{if}\;x \leq -3.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_3\right), 3\right)}\\
\mathbf{elif}\;x \leq 1.25 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_2, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_1}{\mathsf{fma}\left(1.5, t\_3, \mathsf{fma}\left(1.5, \cos x \cdot t\_0, 3\right)\right)}\\
\end{array}
\end{array}
if x < -3.49999999999999995e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites58.2%
if -3.49999999999999995e-6 < x < 1.2500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
if 1.2500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6462.2
Applied rewrites62.2%
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
distribute-lft-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6462.2
Applied rewrites62.1%
Taylor expanded in x around inf
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6462.2
Applied rewrites62.2%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -3.5e-6) (not (<= x 1.25e-6)))
(/
(fma (* (pow (sin x) 2.0) -0.0625) (* (- (cos x) 1.0) (sqrt 2.0)) 2.0)
(fma 1.5 (fma t_0 (cos x) (* t_1 (cos y))) 3.0))
(/
(+ 2.0 (* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_1 (cos y) t_0) 3.0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -3.5e-6) || !(x <= 1.25e-6)) {
tmp = fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), (t_1 * cos(y))), 3.0);
} else {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -3.5e-6) || !(x <= 1.25e-6)) tmp = Float64(fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), Float64(t_1 * cos(y))), 3.0)); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -3.5e-6], N[Not[LessEqual[x, 1.25e-6]], $MachinePrecision]], N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + N[(t$95$1 * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -3.5 \cdot 10^{-6} \lor \neg \left(x \leq 1.25 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_1 \cdot \cos y\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos y, t\_0\right), 3\right)}\\
\end{array}
\end{array}
if x < -3.49999999999999995e-6 or 1.2500000000000001e-6 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.3
Applied rewrites60.3%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites60.3%
if -3.49999999999999995e-6 < x < 1.2500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (pow (sin x) 2.0))
(t_3 (* (- (cos x) 1.0) (sqrt 2.0))))
(if (<= x -9e-6)
(*
(/ (fma (* -0.0625 t_2) t_3 2.0) (fma 0.5 (fma t_0 (cos x) t_1) 1.0))
0.3333333333333333)
(if (<= x 1.45e-6)
(/
(+
2.0
(* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_1 (cos y) t_0) 3.0))
(*
(/
(fma (* t_2 -0.0625) t_3 2.0)
(fma (* 0.5 (cos x)) t_0 (+ (/ 2.0 (+ 3.0 (sqrt 5.0))) 1.0)))
0.3333333333333333)))))
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(x), 2.0);
double t_3 = (cos(x) - 1.0) * sqrt(2.0);
double tmp;
if (x <= -9e-6) {
tmp = (fma((-0.0625 * t_2), t_3, 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333;
} else if (x <= 1.45e-6) {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0);
} else {
tmp = (fma((t_2 * -0.0625), t_3, 2.0) / fma((0.5 * cos(x)), t_0, ((2.0 / (3.0 + sqrt(5.0))) + 1.0))) * 0.3333333333333333;
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = sin(x) ^ 2.0 t_3 = Float64(Float64(cos(x) - 1.0) * sqrt(2.0)) tmp = 0.0 if (x <= -9e-6) tmp = Float64(Float64(fma(Float64(-0.0625 * t_2), t_3, 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333); elseif (x <= 1.45e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0)); else tmp = Float64(Float64(fma(Float64(t_2 * -0.0625), t_3, 2.0) / fma(Float64(0.5 * cos(x)), t_0, Float64(Float64(2.0 / Float64(3.0 + sqrt(5.0))) + 1.0))) * 0.3333333333333333); 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[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -9e-6], N[(N[(N[(N[(-0.0625 * t$95$2), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / N[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$2 * -0.0625), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / N[(N[(0.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(N[(2.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := {\sin x}^{2}\\
t_3 := \left(\cos x - 1\right) \cdot \sqrt{2}\\
\mathbf{if}\;x \leq -9 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625 \cdot t\_2, t\_3, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2 \cdot -0.0625, t\_3, 2\right)}{\mathsf{fma}\left(0.5 \cdot \cos x, t\_0, \frac{2}{3 + \sqrt{5}} + 1\right)} \cdot 0.3333333333333333\\
\end{array}
\end{array}
if x < -9.00000000000000023e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites57.3%
if -9.00000000000000023e-6 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
if 1.4500000000000001e-6 < x Initial program 99.0%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around inf
+-commutativeN/A
+-commutativeN/A
associate-+l+N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites99.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites61.4%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -9e-6) (not (<= x 1.45e-6)))
(*
(/
(fma (* -0.0625 (pow (sin x) 2.0)) (* (- (cos x) 1.0) (sqrt 2.0)) 2.0)
(fma 0.5 (fma t_0 (cos x) t_1) 1.0))
0.3333333333333333)
(/
(+ 2.0 (* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_1 (cos y) t_0) 3.0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -9e-6) || !(x <= 1.45e-6)) {
tmp = (fma((-0.0625 * pow(sin(x), 2.0)), ((cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333;
} else {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -9e-6) || !(x <= 1.45e-6)) tmp = Float64(Float64(fma(Float64(-0.0625 * (sin(x) ^ 2.0)), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -9e-6], N[Not[LessEqual[x, 1.45e-6]], $MachinePrecision]], N[(N[(N[(N[(-0.0625 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -9 \cdot 10^{-6} \lor \neg \left(x \leq 1.45 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625 \cdot {\sin x}^{2}, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos y, t\_0\right), 3\right)}\\
\end{array}
\end{array}
if x < -9.00000000000000023e-6 or 1.4500000000000001e-6 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.3
Applied rewrites60.3%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites59.4%
if -9.00000000000000023e-6 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0))
(t_1 (- 3.0 (sqrt 5.0)))
(t_2 (pow (sin x) 2.0))
(t_3 (* (- (cos x) 1.0) (sqrt 2.0))))
(if (<= x -9e-6)
(*
(/ (fma (* -0.0625 t_2) t_3 2.0) (fma 0.5 (fma t_0 (cos x) t_1) 1.0))
0.3333333333333333)
(if (<= x 1.45e-6)
(/
(+
2.0
(* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_1 (cos y) t_0) 3.0))
(/
(fma (* t_2 -0.0625) t_3 2.0)
(fma 1.5 t_1 (fma 1.5 (* (cos x) t_0) 3.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double t_2 = pow(sin(x), 2.0);
double t_3 = (cos(x) - 1.0) * sqrt(2.0);
double tmp;
if (x <= -9e-6) {
tmp = (fma((-0.0625 * t_2), t_3, 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333;
} else if (x <= 1.45e-6) {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0);
} else {
tmp = fma((t_2 * -0.0625), t_3, 2.0) / fma(1.5, t_1, fma(1.5, (cos(x) * t_0), 3.0));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) t_2 = sin(x) ^ 2.0 t_3 = Float64(Float64(cos(x) - 1.0) * sqrt(2.0)) tmp = 0.0 if (x <= -9e-6) tmp = Float64(Float64(fma(Float64(-0.0625 * t_2), t_3, 2.0) / fma(0.5, fma(t_0, cos(x), t_1), 1.0)) * 0.3333333333333333); elseif (x <= 1.45e-6) tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0)); else tmp = Float64(fma(Float64(t_2 * -0.0625), t_3, 2.0) / fma(1.5, t_1, fma(1.5, Float64(cos(x) * t_0), 3.0))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -9e-6], N[(N[(N[(N[(-0.0625 * t$95$2), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / N[(0.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision], If[LessEqual[x, 1.45e-6], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 * -0.0625), $MachinePrecision] * t$95$3 + 2.0), $MachinePrecision] / N[(1.5 * t$95$1 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
t_2 := {\sin x}^{2}\\
t_3 := \left(\cos x - 1\right) \cdot \sqrt{2}\\
\mathbf{if}\;x \leq -9 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625 \cdot t\_2, t\_3, 2\right)}{\mathsf{fma}\left(0.5, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 1\right)} \cdot 0.3333333333333333\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{-6}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos y, t\_0\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_2 \cdot -0.0625, t\_3, 2\right)}{\mathsf{fma}\left(1.5, t\_1, \mathsf{fma}\left(1.5, \cos x \cdot t\_0, 3\right)\right)}\\
\end{array}
\end{array}
if x < -9.00000000000000023e-6Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6458.2
Applied rewrites58.2%
Taylor expanded in y around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites57.3%
if -9.00000000000000023e-6 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
if 1.4500000000000001e-6 < x Initial program 99.0%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6462.2
Applied rewrites62.2%
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
distribute-lft-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6462.2
Applied rewrites62.1%
Taylor expanded in y around 0
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6461.4
Applied rewrites61.4%
Final simplification78.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (- (sqrt 5.0) 1.0)) (t_1 (- 3.0 (sqrt 5.0))))
(if (or (<= x -7.4e-6) (not (<= x 1.45e-6)))
(/
(fma (* (pow (sin x) 2.0) -0.0625) (* (- (cos x) 1.0) (sqrt 2.0)) 2.0)
(fma 1.5 (fma t_0 (cos x) t_1) 3.0))
(/
(+ 2.0 (* (* (* -0.0625 (pow (sin y) 2.0)) (sqrt 2.0)) (- 1.0 (cos y))))
(fma 1.5 (fma t_1 (cos y) t_0) 3.0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) - 1.0;
double t_1 = 3.0 - sqrt(5.0);
double tmp;
if ((x <= -7.4e-6) || !(x <= 1.45e-6)) {
tmp = fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), t_1), 3.0);
} else {
tmp = (2.0 + (((-0.0625 * pow(sin(y), 2.0)) * sqrt(2.0)) * (1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0);
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) - 1.0) t_1 = Float64(3.0 - sqrt(5.0)) tmp = 0.0 if ((x <= -7.4e-6) || !(x <= 1.45e-6)) tmp = Float64(fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(1.5, fma(t_0, cos(x), t_1), 3.0)); else tmp = Float64(Float64(2.0 + Float64(Float64(Float64(-0.0625 * (sin(y) ^ 2.0)) * sqrt(2.0)) * Float64(1.0 - cos(y)))) / fma(1.5, fma(t_1, cos(y), t_0), 3.0)); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -7.4e-6], N[Not[LessEqual[x, 1.45e-6]], $MachinePrecision]], N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(t$95$0 * N[Cos[x], $MachinePrecision] + t$95$1), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(N[(N[(-0.0625 * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.5 * N[(t$95$1 * N[Cos[y], $MachinePrecision] + t$95$0), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} - 1\\
t_1 := 3 - \sqrt{5}\\
\mathbf{if}\;x \leq -7.4 \cdot 10^{-6} \lor \neg \left(x \leq 1.45 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_0, \cos x, t\_1\right), 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + \left(\left(-0.0625 \cdot {\sin y}^{2}\right) \cdot \sqrt{2}\right) \cdot \left(1 - \cos y\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(t\_1, \cos y, t\_0\right), 3\right)}\\
\end{array}
\end{array}
if x < -7.4000000000000003e-6 or 1.4500000000000001e-6 < x Initial program 98.9%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.3
Applied rewrites60.3%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6459.4
Applied rewrites59.4%
if -7.4000000000000003e-6 < x < 1.4500000000000001e-6Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
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.f6498.5
Applied rewrites98.5%
Final simplification78.3%
(FPCore (x y) :precision binary64 (/ (fma (* (pow (sin x) 2.0) -0.0625) (* (- (cos x) 1.0) (sqrt 2.0)) 2.0) (fma 1.5 (fma (- (sqrt 5.0) 1.0) (cos x) (- 3.0 (sqrt 5.0))) 3.0)))
double code(double x, double y) {
return fma((pow(sin(x), 2.0) * -0.0625), ((cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(1.5, fma((sqrt(5.0) - 1.0), cos(x), (3.0 - sqrt(5.0))), 3.0);
}
function code(x, y) return Float64(fma(Float64((sin(x) ^ 2.0) * -0.0625), Float64(Float64(cos(x) - 1.0) * sqrt(2.0)), 2.0) / fma(1.5, fma(Float64(sqrt(5.0) - 1.0), cos(x), Float64(3.0 - sqrt(5.0))), 3.0)) end
code[x_, y_] := N[(N[(N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * -0.0625), $MachinePrecision] * N[(N[(N[Cos[x], $MachinePrecision] - 1.0), $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] * N[Cos[x], $MachinePrecision] + N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({\sin x}^{2} \cdot -0.0625, \left(\cos x - 1\right) \cdot \sqrt{2}, 2\right)}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(\sqrt{5} - 1, \cos x, 3 - \sqrt{5}\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.7
Applied rewrites60.7%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6458.2
Applied rewrites58.2%
Final simplification58.2%
(FPCore (x y) :precision binary64 (/ 2.0 (fma 1.5 (fma (- 3.0 (sqrt 5.0)) (cos y) (* (cos x) (- (sqrt 5.0) 1.0))) 3.0)))
double code(double x, double y) {
return 2.0 / fma(1.5, fma((3.0 - sqrt(5.0)), cos(y), (cos(x) * (sqrt(5.0) - 1.0))), 3.0);
}
function code(x, y) return Float64(2.0 / fma(1.5, fma(Float64(3.0 - sqrt(5.0)), cos(y), Float64(cos(x) * Float64(sqrt(5.0) - 1.0))), 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[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\mathsf{fma}\left(1.5, \mathsf{fma}\left(3 - \sqrt{5}, \cos y, \cos x \cdot \left(\sqrt{5} - 1\right)\right), 3\right)}
\end{array}
Initial program 99.3%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.7
Applied rewrites60.7%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6440.9
Applied rewrites40.9%
Taylor expanded in x around 0
Applied rewrites40.8%
Taylor expanded in x around inf
distribute-lft-inN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites43.8%
Final simplification43.8%
(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 99.3%
Taylor expanded in y around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/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.f6460.7
Applied rewrites60.7%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sqrt.f6440.9
Applied rewrites40.9%
Taylor expanded in x around 0
Applied rewrites40.8%
Taylor expanded in y around 0
+-commutativeN/A
distribute-lft-inN/A
distribute-lft-outN/A
associate-+r-N/A
+-commutativeN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites41.2%
Final simplification41.2%
herbie shell --seed 2024352
(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))))))