
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(*
(* (sqrt 2.0) (- (sin x) (/ (sin y) 16.0)))
(- (sin y) (/ (sin x) 16.0)))
(- (cos x) (cos y))))
(*
3.0
(+
(+ 1.0 (* (/ (- (sqrt 5.0) 1.0) 2.0) (cos x)))
(* (/ (- 3.0 (sqrt 5.0)) 2.0) (cos y))))))
double code(double x, double y) {
return (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (((sqrt(2.0d0) * (sin(x) - (sin(y) / 16.0d0))) * (sin(y) - (sin(x) / 16.0d0))) * (cos(x) - cos(y)))) / (3.0d0 * ((1.0d0 + (((sqrt(5.0d0) - 1.0d0) / 2.0d0) * cos(x))) + (((3.0d0 - sqrt(5.0d0)) / 2.0d0) * cos(y))))
end function
public static double code(double x, double y) {
return (2.0 + (((Math.sqrt(2.0) * (Math.sin(x) - (Math.sin(y) / 16.0))) * (Math.sin(y) - (Math.sin(x) / 16.0))) * (Math.cos(x) - Math.cos(y)))) / (3.0 * ((1.0 + (((Math.sqrt(5.0) - 1.0) / 2.0) * Math.cos(x))) + (((3.0 - Math.sqrt(5.0)) / 2.0) * Math.cos(y))));
}
def code(x, y): return (2.0 + (((math.sqrt(2.0) * (math.sin(x) - (math.sin(y) / 16.0))) * (math.sin(y) - (math.sin(x) / 16.0))) * (math.cos(x) - math.cos(y)))) / (3.0 * ((1.0 + (((math.sqrt(5.0) - 1.0) / 2.0) * math.cos(x))) + (((3.0 - math.sqrt(5.0)) / 2.0) * math.cos(y))))
function code(x, y) return Float64(Float64(2.0 + Float64(Float64(Float64(sqrt(2.0) * Float64(sin(x) - Float64(sin(y) / 16.0))) * Float64(sin(y) - Float64(sin(x) / 16.0))) * Float64(cos(x) - cos(y)))) / Float64(3.0 * Float64(Float64(1.0 + Float64(Float64(Float64(sqrt(5.0) - 1.0) / 2.0) * cos(x))) + Float64(Float64(Float64(3.0 - sqrt(5.0)) / 2.0) * cos(y))))) end
function tmp = code(x, y) tmp = (2.0 + (((sqrt(2.0) * (sin(x) - (sin(y) / 16.0))) * (sin(y) - (sin(x) / 16.0))) * (cos(x) - cos(y)))) / (3.0 * ((1.0 + (((sqrt(5.0) - 1.0) / 2.0) * cos(x))) + (((3.0 - sqrt(5.0)) / 2.0) * cos(y)))); end
code[x_, y_] := N[(N[(2.0 + N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sin[x], $MachinePrecision] - N[(N[Sin[y], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[(N[(N[Sqrt[5.0], $MachinePrecision] - 1.0), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \left(\left(\sqrt{2} \cdot \left(\sin x - \frac{\sin y}{16}\right)\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right) \cdot \left(\cos x - \cos y\right)}{3 \cdot \left(\left(1 + \frac{\sqrt{5} - 1}{2} \cdot \cos x\right) + \frac{3 - \sqrt{5}}{2} \cdot \cos y\right)}
\end{array}
(FPCore (x y)
:precision binary64
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- (cos x) (cos y))))
2.0)
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))), 2.0) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
function code(x, y) return Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(cos(x) - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
code[x_, y_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.2%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.3%
fma-def99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Taylor expanded in x around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(/
(+
2.0
(*
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- (cos x) (cos y))))))
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
double code(double x, double y) {
return (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (2.0d0 + (sqrt(2.0d0) * ((sin(x) + ((-0.0625d0) * sin(y))) * ((sin(y) + (sin(x) * (-0.0625d0))) * (cos(x) - cos(y)))))) / (3.0d0 + (1.5d0 * ((4.0d0 * (cos(y) / (3.0d0 + sqrt(5.0d0)))) + (cos(x) * (sqrt(5.0d0) + (-1.0d0))))))
end function
public static double code(double x, double y) {
return (2.0 + (Math.sqrt(2.0) * ((Math.sin(x) + (-0.0625 * Math.sin(y))) * ((Math.sin(y) + (Math.sin(x) * -0.0625)) * (Math.cos(x) - Math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (Math.cos(y) / (3.0 + Math.sqrt(5.0)))) + (Math.cos(x) * (Math.sqrt(5.0) + -1.0)))));
}
def code(x, y): return (2.0 + (math.sqrt(2.0) * ((math.sin(x) + (-0.0625 * math.sin(y))) * ((math.sin(y) + (math.sin(x) * -0.0625)) * (math.cos(x) - math.cos(y)))))) / (3.0 + (1.5 * ((4.0 * (math.cos(y) / (3.0 + math.sqrt(5.0)))) + (math.cos(x) * (math.sqrt(5.0) + -1.0)))))
function code(x, y) return Float64(Float64(2.0 + Float64(sqrt(2.0) * Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(cos(x) - cos(y)))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))) end
function tmp = code(x, y) tmp = (2.0 + (sqrt(2.0) * ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (cos(x) - cos(y)))))) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))))); end
code[x_, y_] := N[(N[(2.0 + N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2 + \sqrt{2} \cdot \left(\left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(\cos x - \cos y\right)\right)\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}
\end{array}
Initial program 99.2%
Simplified99.2%
Taylor expanded in y around inf 99.3%
distribute-lft-out99.3%
fma-def99.3%
sub-neg99.3%
metadata-eval99.3%
Simplified99.3%
flip--99.1%
metadata-eval99.1%
pow1/299.1%
pow1/299.1%
pow-prod-up99.4%
metadata-eval99.4%
metadata-eval99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Taylor expanded in x around inf 99.4%
Taylor expanded in x around inf 99.4%
Final simplification99.4%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0))))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_1 0.5))) (* (cos y) (- 1.5 t_1))))))
(if (or (<= x -0.0165) (not (<= x 0.04)))
(/ (+ 2.0 (* (* (sqrt 2.0) (sin x)) t_0)) t_2)
(/ (+ 2.0 (* t_0 (* (sqrt 2.0) (+ x (* -0.0625 (sin y)))))) t_2))))
double code(double x, double y) {
double t_0 = (cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0));
double t_1 = sqrt(5.0) / 2.0;
double t_2 = 3.0 * ((1.0 + (cos(x) * (t_1 - 0.5))) + (cos(y) * (1.5 - t_1)));
double tmp;
if ((x <= -0.0165) || !(x <= 0.04)) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * t_0)) / t_2;
} else {
tmp = (2.0 + (t_0 * (sqrt(2.0) * (x + (-0.0625 * sin(y)))))) / t_2;
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = (cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0d0))
t_1 = sqrt(5.0d0) / 2.0d0
t_2 = 3.0d0 * ((1.0d0 + (cos(x) * (t_1 - 0.5d0))) + (cos(y) * (1.5d0 - t_1)))
if ((x <= (-0.0165d0)) .or. (.not. (x <= 0.04d0))) then
tmp = (2.0d0 + ((sqrt(2.0d0) * sin(x)) * t_0)) / t_2
else
tmp = (2.0d0 + (t_0 * (sqrt(2.0d0) * (x + ((-0.0625d0) * sin(y)))))) / t_2
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = (Math.cos(x) - Math.cos(y)) * (Math.sin(y) - (Math.sin(x) / 16.0));
double t_1 = Math.sqrt(5.0) / 2.0;
double t_2 = 3.0 * ((1.0 + (Math.cos(x) * (t_1 - 0.5))) + (Math.cos(y) * (1.5 - t_1)));
double tmp;
if ((x <= -0.0165) || !(x <= 0.04)) {
tmp = (2.0 + ((Math.sqrt(2.0) * Math.sin(x)) * t_0)) / t_2;
} else {
tmp = (2.0 + (t_0 * (Math.sqrt(2.0) * (x + (-0.0625 * Math.sin(y)))))) / t_2;
}
return tmp;
}
def code(x, y): t_0 = (math.cos(x) - math.cos(y)) * (math.sin(y) - (math.sin(x) / 16.0)) t_1 = math.sqrt(5.0) / 2.0 t_2 = 3.0 * ((1.0 + (math.cos(x) * (t_1 - 0.5))) + (math.cos(y) * (1.5 - t_1))) tmp = 0 if (x <= -0.0165) or not (x <= 0.04): tmp = (2.0 + ((math.sqrt(2.0) * math.sin(x)) * t_0)) / t_2 else: tmp = (2.0 + (t_0 * (math.sqrt(2.0) * (x + (-0.0625 * math.sin(y)))))) / t_2 return tmp
function code(x, y) t_0 = Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_1)))) tmp = 0.0 if ((x <= -0.0165) || !(x <= 0.04)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * t_0)) / t_2); else tmp = Float64(Float64(2.0 + Float64(t_0 * Float64(sqrt(2.0) * Float64(x + Float64(-0.0625 * sin(y)))))) / t_2); end return tmp end
function tmp_2 = code(x, y) t_0 = (cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0)); t_1 = sqrt(5.0) / 2.0; t_2 = 3.0 * ((1.0 + (cos(x) * (t_1 - 0.5))) + (cos(y) * (1.5 - t_1))); tmp = 0.0; if ((x <= -0.0165) || ~((x <= 0.04))) tmp = (2.0 + ((sqrt(2.0) * sin(x)) * t_0)) / t_2; else tmp = (2.0 + (t_0 * (sqrt(2.0) * (x + (-0.0625 * sin(y)))))) / t_2; end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = 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]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.0165], N[Not[LessEqual[x, 0.04]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(N[(2.0 + N[(t$95$0 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(x + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := 3 \cdot \left(\left(1 + \cos x \cdot \left(t_1 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_1\right)\right)\\
\mathbf{if}\;x \leq -0.0165 \lor \neg \left(x \leq 0.04\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot t_0}{t_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + t_0 \cdot \left(\sqrt{2} \cdot \left(x + -0.0625 \cdot \sin y\right)\right)}{t_2}\\
\end{array}
\end{array}
if x < -0.016500000000000001 or 0.0400000000000000008 < x Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 66.3%
*-commutative66.3%
Simplified66.3%
if -0.016500000000000001 < x < 0.0400000000000000008Initial program 99.7%
associate-*l*99.7%
distribute-lft-in99.7%
cos-neg99.7%
distribute-lft-in99.7%
Simplified99.7%
Taylor expanded in x around 0 99.6%
associate-*r*99.6%
metadata-eval99.6%
distribute-rgt-out99.6%
metadata-eval99.6%
Simplified99.6%
Final simplification81.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ (sqrt 5.0) 2.0)))
(if (or (<= x -0.000185) (not (<= x 7.5e-5)))
(/
(+
2.0
(*
(* (sqrt 2.0) (sin x))
(* (- (cos x) (cos y)) (- (sin y) (/ (sin x) 16.0)))))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_0 0.5))) (* (cos y) (- 1.5 t_0)))))
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))
2.0)
(+
3.0
(* 1.5 (+ (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))) -1.0)))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) / 2.0;
double tmp;
if ((x <= -0.000185) || !(x <= 7.5e-5)) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((cos(x) - cos(y)) * (sin(y) - (sin(x) / 16.0))))) / (3.0 * ((1.0 + (cos(x) * (t_0 - 0.5))) + (cos(y) * (1.5 - t_0))));
} else {
tmp = fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * ((sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))) + -1.0)));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if ((x <= -0.000185) || !(x <= 7.5e-5)) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(cos(x) - cos(y)) * Float64(sin(y) - Float64(sin(x) / 16.0))))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_0 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_0))))); else tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) + -1.0)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[Or[LessEqual[x, -0.000185], N[Not[LessEqual[x, 7.5e-5]], $MachinePrecision]], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $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]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.000185 \lor \neg \left(x \leq 7.5 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\cos x - \cos y\right) \cdot \left(\sin y - \frac{\sin x}{16}\right)\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_0 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_0\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right) + -1\right)}\\
\end{array}
\end{array}
if x < -1.85e-4 or 7.49999999999999934e-5 < x Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 66.3%
*-commutative66.3%
Simplified66.3%
if -1.85e-4 < x < 7.49999999999999934e-5Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 99.2%
Final simplification81.5%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (+ (sqrt 5.0) -1.0))
(t_2 (/ (sqrt 5.0) 2.0)))
(if (<= x -0.000195)
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (sin y) (/ (sin x) 16.0)) t_0)))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_2 0.5))) (* (cos y) (- 1.5 t_2)))))
(if (<= x 8.5e-5)
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ (* (cos y) (- 3.0 (sqrt 5.0))) t_1))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0)
(+
3.0
(fma
(cos y)
(/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 0.6666666666666666)
(/ (* (cos x) t_1) 0.6666666666666666))))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) + -1.0;
double t_2 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -0.000195) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((sin(y) - (sin(x) / 16.0)) * t_0))) / (3.0 * ((1.0 + (cos(x) * (t_2 - 0.5))) + (cos(y) * (1.5 - t_2))));
} else if (x <= 8.5e-5) {
tmp = fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * ((cos(y) * (3.0 - sqrt(5.0))) + t_1)));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) / 0.6666666666666666), ((cos(x) * t_1) / 0.6666666666666666)));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) + -1.0) t_2 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -0.000195) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_2))))); elseif (x <= 8.5e-5) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(y) * Float64(3.0 - sqrt(5.0))) + t_1)))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 0.6666666666666666), Float64(Float64(cos(x) * t_1) / 0.6666666666666666)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -0.000195], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8.5e-5], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * t$95$1), $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \sqrt{5} + -1\\
t_2 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.000195:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_2 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_2\right)\right)}\\
\mathbf{elif}\;x \leq 8.5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\cos y \cdot \left(3 - \sqrt{5}\right) + t_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_0 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{\frac{4}{3 + \sqrt{5}}}{0.6666666666666666}, \frac{\cos x \cdot t_1}{0.6666666666666666}\right)}\\
\end{array}
\end{array}
if x < -1.94999999999999996e-4Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
Taylor expanded in y around 0 61.3%
if -1.94999999999999996e-4 < x < 8.500000000000001e-5Initial program 99.7%
Simplified99.7%
Taylor expanded in x around 0 99.2%
distribute-lft-out99.2%
sub-neg99.2%
metadata-eval99.2%
Simplified99.2%
Taylor expanded in x around 0 99.2%
if 8.500000000000001e-5 < x Initial program 98.8%
Simplified98.9%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 65.7%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0)) (t_1 (/ (sqrt 5.0) 2.0)))
(if (<= x -0.000106)
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (sin y) (/ (sin x) 16.0)) t_0)))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_1 0.5))) (* (cos y) (- 1.5 t_1)))))
(if (<= x 0.00017)
(/
(fma
(sqrt 2.0)
(*
(+ (sin x) (* -0.0625 (sin y)))
(* (+ (sin y) (* (sin x) -0.0625)) (- 1.0 (cos y))))
2.0)
(+ 3.0 (* 1.5 (+ (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))) -1.0))))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0)
(+
3.0
(fma
(cos y)
(/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 0.6666666666666666)
(/ (* (cos x) (+ (sqrt 5.0) -1.0)) 0.6666666666666666))))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -0.000106) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((sin(y) - (sin(x) / 16.0)) * t_0))) / (3.0 * ((1.0 + (cos(x) * (t_1 - 0.5))) + (cos(y) * (1.5 - t_1))));
} else if (x <= 0.00017) {
tmp = fma(sqrt(2.0), ((sin(x) + (-0.0625 * sin(y))) * ((sin(y) + (sin(x) * -0.0625)) * (1.0 - cos(y)))), 2.0) / (3.0 + (1.5 * ((sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))) + -1.0)));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) / 0.6666666666666666), ((cos(x) * (sqrt(5.0) + -1.0)) / 0.6666666666666666)));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -0.000106) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_1))))); elseif (x <= 0.00017) tmp = Float64(fma(sqrt(2.0), Float64(Float64(sin(x) + Float64(-0.0625 * sin(y))) * Float64(Float64(sin(y) + Float64(sin(x) * -0.0625)) * Float64(1.0 - cos(y)))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) + -1.0)))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 0.6666666666666666), Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) / 0.6666666666666666)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -0.000106], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00017], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[(N[Sin[x], $MachinePrecision] + N[(-0.0625 * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] + N[(N[Sin[x], $MachinePrecision] * -0.0625), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -0.000106:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_1 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_1\right)\right)}\\
\mathbf{elif}\;x \leq 0.00017:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, \left(\sin x + -0.0625 \cdot \sin y\right) \cdot \left(\left(\sin y + \sin x \cdot -0.0625\right) \cdot \left(1 - \cos y\right)\right), 2\right)}{3 + 1.5 \cdot \left(\left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right) + -1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_0 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{\frac{4}{3 + \sqrt{5}}}{0.6666666666666666}, \frac{\cos x \cdot \left(\sqrt{5} + -1\right)}{0.6666666666666666}\right)}\\
\end{array}
\end{array}
if x < -1.06e-4Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
Taylor expanded in y around 0 61.3%
if -1.06e-4 < x < 1.7e-4Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 99.2%
if 1.7e-4 < x Initial program 98.8%
Simplified98.9%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 65.7%
Final simplification80.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (/ 4.0 (+ 3.0 (sqrt 5.0))))
(t_1 (+ (cos x) -1.0))
(t_2 (/ (sqrt 5.0) 2.0)))
(if (<= x -6e-5)
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (sin y) (/ (sin x) 16.0)) t_1)))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_2 0.5))) (* (cos y) (- 1.5 t_2)))))
(if (<= x 7.2e-6)
(/
(fma -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))) 2.0)
(fma (+ (sqrt 5.0) (fma t_0 (cos y) -1.0)) 1.5 3.0))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_1 (pow (sin x) 2.0))) 2.0)
(+
3.0
(fma
(cos y)
(/ t_0 0.6666666666666666)
(/ (* (cos x) (+ (sqrt 5.0) -1.0)) 0.6666666666666666))))))))
double code(double x, double y) {
double t_0 = 4.0 / (3.0 + sqrt(5.0));
double t_1 = cos(x) + -1.0;
double t_2 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -6e-5) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((sin(y) - (sin(x) / 16.0)) * t_1))) / (3.0 * ((1.0 + (cos(x) * (t_2 - 0.5))) + (cos(y) * (1.5 - t_2))));
} else if (x <= 7.2e-6) {
tmp = fma(-0.0625, (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))), 2.0) / fma((sqrt(5.0) + fma(t_0, cos(y), -1.0)), 1.5, 3.0);
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_1 * pow(sin(x), 2.0))), 2.0) / (3.0 + fma(cos(y), (t_0 / 0.6666666666666666), ((cos(x) * (sqrt(5.0) + -1.0)) / 0.6666666666666666)));
}
return tmp;
}
function code(x, y) t_0 = Float64(4.0 / Float64(3.0 + sqrt(5.0))) t_1 = Float64(cos(x) + -1.0) t_2 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -6e-5) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_1))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_2))))); elseif (x <= 7.2e-6) tmp = Float64(fma(-0.0625, Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))), 2.0) / fma(Float64(sqrt(5.0) + fma(t_0, cos(y), -1.0)), 1.5, 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_1 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + fma(cos(y), Float64(t_0 / 0.6666666666666666), Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) / 0.6666666666666666)))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -6e-5], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 7.2e-6], N[(N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(t$95$0 * N[Cos[y], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$1 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(t$95$0 / 0.6666666666666666), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{4}{3 + \sqrt{5}}\\
t_1 := \cos x + -1\\
t_2 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -6 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_1\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_2 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_2\right)\right)}\\
\mathbf{elif}\;x \leq 7.2 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(\sqrt{5} + \mathsf{fma}\left(t_0, \cos y, -1\right), 1.5, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_1 \cdot {\sin x}^{2}\right), 2\right)}{3 + \mathsf{fma}\left(\cos y, \frac{t_0}{0.6666666666666666}, \frac{\cos x \cdot \left(\sqrt{5} + -1\right)}{0.6666666666666666}\right)}\\
\end{array}
\end{array}
if x < -6.00000000000000015e-5Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
Taylor expanded in y around 0 61.3%
if -6.00000000000000015e-5 < x < 7.19999999999999967e-6Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
Taylor expanded in x around 0 98.8%
+-commutative98.8%
fma-def98.8%
+-commutative98.8%
*-commutative98.8%
fma-def98.8%
Simplified98.8%
if 7.19999999999999967e-6 < x Initial program 98.8%
Simplified98.9%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 65.7%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2
(+
3.0
(fma
(cos y)
(/ (/ 4.0 (+ 3.0 (sqrt 5.0))) 0.6666666666666666)
(/ (* (cos x) (+ (sqrt 5.0) -1.0)) 0.6666666666666666)))))
(if (<= x -0.00084)
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (sin y) (/ (sin x) 16.0)) t_0)))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_1 0.5))) (* (cos y) (- 1.5 t_1)))))
(if (<= x 0.00062)
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
t_2)
(/ (fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0) t_2)))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) / 2.0;
double t_2 = 3.0 + fma(cos(y), ((4.0 / (3.0 + sqrt(5.0))) / 0.6666666666666666), ((cos(x) * (sqrt(5.0) + -1.0)) / 0.6666666666666666));
double tmp;
if (x <= -0.00084) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((sin(y) - (sin(x) / 16.0)) * t_0))) / (3.0 * ((1.0 + (cos(x) * (t_1 - 0.5))) + (cos(y) * (1.5 - t_1))));
} else if (x <= 0.00062) {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / t_2;
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(3.0 + fma(cos(y), Float64(Float64(4.0 / Float64(3.0 + sqrt(5.0))) / 0.6666666666666666), Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) / 0.6666666666666666))) tmp = 0.0 if (x <= -0.00084) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_1))))); elseif (x <= 0.00062) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / t_2); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 + N[(N[Cos[y], $MachinePrecision] * N[(N[(4.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision] + N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00084], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00062], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := 3 + \mathsf{fma}\left(\cos y, \frac{\frac{4}{3 + \sqrt{5}}}{0.6666666666666666}, \frac{\cos x \cdot \left(\sqrt{5} + -1\right)}{0.6666666666666666}\right)\\
\mathbf{if}\;x \leq -0.00084:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_1 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_1\right)\right)}\\
\mathbf{elif}\;x \leq 0.00062:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{t_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_0 \cdot {\sin x}^{2}\right), 2\right)}{t_2}\\
\end{array}
\end{array}
if x < -8.4000000000000003e-4Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
Taylor expanded in y around 0 61.3%
if -8.4000000000000003e-4 < x < 6.2e-4Initial program 99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around 0 98.8%
if 6.2e-4 < x Initial program 98.8%
Simplified98.9%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in y around 0 65.7%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (+ 3.0 (sqrt 5.0)))
(t_2 (/ (sqrt 5.0) 2.0)))
(if (<= x -6e-5)
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (sin y) (/ (sin x) 16.0)) t_0)))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_2 0.5))) (* (cos y) (- 1.5 t_2)))))
(if (<= x 5.6e-6)
(/
(fma -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y)))) 2.0)
(fma (+ (sqrt 5.0) (fma (/ 4.0 t_1) (cos y) -1.0)) 1.5 3.0))
(/
(fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0)
(+
3.0
(*
1.5
(+ (* 4.0 (/ (cos y) t_1)) (* (cos x) (+ (sqrt 5.0) -1.0))))))))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = 3.0 + sqrt(5.0);
double t_2 = sqrt(5.0) / 2.0;
double tmp;
if (x <= -6e-5) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((sin(y) - (sin(x) / 16.0)) * t_0))) / (3.0 * ((1.0 + (cos(x) * (t_2 - 0.5))) + (cos(y) * (1.5 - t_2))));
} else if (x <= 5.6e-6) {
tmp = fma(-0.0625, (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))), 2.0) / fma((sqrt(5.0) + fma((4.0 / t_1), cos(y), -1.0)), 1.5, 3.0);
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / (3.0 + (1.5 * ((4.0 * (cos(y) / t_1)) + (cos(x) * (sqrt(5.0) + -1.0)))));
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(3.0 + sqrt(5.0)) t_2 = Float64(sqrt(5.0) / 2.0) tmp = 0.0 if (x <= -6e-5) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_2 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_2))))); elseif (x <= 5.6e-6) tmp = Float64(fma(-0.0625, Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))), 2.0) / fma(Float64(sqrt(5.0) + fma(Float64(4.0 / t_1), cos(y), -1.0)), 1.5, 3.0)); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / t_1)) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[x, -6e-5], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.6e-6], N[(N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[(4.0 / t$95$1), $MachinePrecision] * N[Cos[y], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.5 + 3.0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := 3 + \sqrt{5}\\
t_2 := \frac{\sqrt{5}}{2}\\
\mathbf{if}\;x \leq -6 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_2 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_2\right)\right)}\\
\mathbf{elif}\;x \leq 5.6 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.0625, {\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right), 2\right)}{\mathsf{fma}\left(\sqrt{5} + \mathsf{fma}\left(\frac{4}{t_1}, \cos y, -1\right), 1.5, 3\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_0 \cdot {\sin x}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{t_1} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\end{array}
\end{array}
if x < -6.00000000000000015e-5Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
Taylor expanded in y around 0 61.3%
if -6.00000000000000015e-5 < x < 5.59999999999999975e-6Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
Taylor expanded in x around 0 98.8%
+-commutative98.8%
fma-def98.8%
+-commutative98.8%
*-commutative98.8%
fma-def98.8%
Simplified98.8%
if 5.59999999999999975e-6 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 65.7%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (cos x) -1.0))
(t_1 (/ (sqrt 5.0) 2.0))
(t_2
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (<= x -0.00088)
(/
(+ 2.0 (* (* (sqrt 2.0) (sin x)) (* (- (sin y) (/ (sin x) 16.0)) t_0)))
(* 3.0 (+ (+ 1.0 (* (cos x) (- t_1 0.5))) (* (cos y) (- 1.5 t_1)))))
(if (<= x 0.00075)
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
t_2)
(/ (fma (sqrt 2.0) (* -0.0625 (* t_0 (pow (sin x) 2.0))) 2.0) t_2)))))
double code(double x, double y) {
double t_0 = cos(x) + -1.0;
double t_1 = sqrt(5.0) / 2.0;
double t_2 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if (x <= -0.00088) {
tmp = (2.0 + ((sqrt(2.0) * sin(x)) * ((sin(y) - (sin(x) / 16.0)) * t_0))) / (3.0 * ((1.0 + (cos(x) * (t_1 - 0.5))) + (cos(y) * (1.5 - t_1))));
} else if (x <= 0.00075) {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / t_2;
} else {
tmp = fma(sqrt(2.0), (-0.0625 * (t_0 * pow(sin(x), 2.0))), 2.0) / t_2;
}
return tmp;
}
function code(x, y) t_0 = Float64(cos(x) + -1.0) t_1 = Float64(sqrt(5.0) / 2.0) t_2 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if (x <= -0.00088) tmp = Float64(Float64(2.0 + Float64(Float64(sqrt(2.0) * sin(x)) * Float64(Float64(sin(y) - Float64(sin(x) / 16.0)) * t_0))) / Float64(3.0 * Float64(Float64(1.0 + Float64(cos(x) * Float64(t_1 - 0.5))) + Float64(cos(y) * Float64(1.5 - t_1))))); elseif (x <= 0.00075) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / t_2); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(t_0 * (sin(x) ^ 2.0))), 2.0) / t_2); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sqrt[5.0], $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -0.00088], N[(N[(2.0 + N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[y], $MachinePrecision] - N[(N[Sin[x], $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 * N[(N[(1.0 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.00075], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(t$95$0 * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos x + -1\\
t_1 := \frac{\sqrt{5}}{2}\\
t_2 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;x \leq -0.00088:\\
\;\;\;\;\frac{2 + \left(\sqrt{2} \cdot \sin x\right) \cdot \left(\left(\sin y - \frac{\sin x}{16}\right) \cdot t_0\right)}{3 \cdot \left(\left(1 + \cos x \cdot \left(t_1 - 0.5\right)\right) + \cos y \cdot \left(1.5 - t_1\right)\right)}\\
\mathbf{elif}\;x \leq 0.00075:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{t_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(t_0 \cdot {\sin x}^{2}\right), 2\right)}{t_2}\\
\end{array}
\end{array}
if x < -8.80000000000000031e-4Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 63.8%
*-commutative63.8%
Simplified63.8%
Taylor expanded in y around 0 61.3%
if -8.80000000000000031e-4 < x < 7.5000000000000002e-4Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
Taylor expanded in x around 0 98.8%
if 7.5000000000000002e-4 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 65.7%
Final simplification79.8%
(FPCore (x y)
:precision binary64
(if (or (<= x -6e-5) (not (<= x 7.2e-6)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0))))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))) -1.0))))))
double code(double x, double y) {
double tmp;
if ((x <= -6e-5) || !(x <= 7.2e-6)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / (3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0)))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / (3.0 + (1.5 * ((sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))) + -1.0)));
}
return tmp;
}
function code(x, y) tmp = 0.0 if ((x <= -6e-5) || !(x <= 7.2e-6)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0)))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) + -1.0)))); end return tmp end
code[x_, y_] := If[Or[LessEqual[x, -6e-5], N[Not[LessEqual[x, 7.2e-6]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -6 \cdot 10^{-5} \lor \neg \left(x \leq 7.2 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(\left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right) + -1\right)}\\
\end{array}
\end{array}
if x < -6.00000000000000015e-5 or 7.19999999999999967e-6 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 63.4%
if -6.00000000000000015e-5 < x < 7.19999999999999967e-6Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 98.8%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0
(+
3.0
(*
1.5
(+
(* 4.0 (/ (cos y) (+ 3.0 (sqrt 5.0))))
(* (cos x) (+ (sqrt 5.0) -1.0)))))))
(if (or (<= x -0.00094) (not (<= x 0.00115)))
(/
(fma (sqrt 2.0) (* -0.0625 (* (+ (cos x) -1.0) (pow (sin x) 2.0))) 2.0)
t_0)
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
t_0))))
double code(double x, double y) {
double t_0 = 3.0 + (1.5 * ((4.0 * (cos(y) / (3.0 + sqrt(5.0)))) + (cos(x) * (sqrt(5.0) + -1.0))));
double tmp;
if ((x <= -0.00094) || !(x <= 0.00115)) {
tmp = fma(sqrt(2.0), (-0.0625 * ((cos(x) + -1.0) * pow(sin(x), 2.0))), 2.0) / t_0;
} else {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / t_0;
}
return tmp;
}
function code(x, y) t_0 = Float64(3.0 + Float64(1.5 * Float64(Float64(4.0 * Float64(cos(y) / Float64(3.0 + sqrt(5.0)))) + Float64(cos(x) * Float64(sqrt(5.0) + -1.0))))) tmp = 0.0 if ((x <= -0.00094) || !(x <= 0.00115)) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(cos(x) + -1.0) * (sin(x) ^ 2.0))), 2.0) / t_0); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / t_0); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[(1.5 * N[(N[(4.0 * N[(N[Cos[y], $MachinePrecision] / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -0.00094], N[Not[LessEqual[x, 0.00115]], $MachinePrecision]], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + 1.5 \cdot \left(4 \cdot \frac{\cos y}{3 + \sqrt{5}} + \cos x \cdot \left(\sqrt{5} + -1\right)\right)\\
\mathbf{if}\;x \leq -0.00094 \lor \neg \left(x \leq 0.00115\right):\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(\cos x + -1\right) \cdot {\sin x}^{2}\right), 2\right)}{t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{t_0}\\
\end{array}
\end{array}
if x < -9.39999999999999972e-4 or 0.00115 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 63.4%
if -9.39999999999999972e-4 < x < 0.00115Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
Taylor expanded in x around 0 98.8%
Final simplification79.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ (sqrt 5.0) -1.0))
(t_1 (pow (sin x) 2.0))
(t_2 (+ (cos x) -1.0))
(t_3 (+ 3.0 (sqrt 5.0))))
(if (<= x -6.2e-5)
(/
(+ 2.0 (* -0.0625 (* t_1 (* (sqrt 2.0) t_2))))
(+ 3.0 (* 1.5 (+ (* (cos x) t_0) (* 4.0 (/ 1.0 t_3))))))
(if (<= x 5.8e-6)
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))) -1.0))))
(/
(+ 2.0 (* -0.0625 (* t_2 (* (sqrt 2.0) t_1))))
(+ 3.0 (* 1.5 (fma (cos x) t_0 (/ 4.0 t_3)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) + -1.0;
double t_1 = pow(sin(x), 2.0);
double t_2 = cos(x) + -1.0;
double t_3 = 3.0 + sqrt(5.0);
double tmp;
if (x <= -6.2e-5) {
tmp = (2.0 + (-0.0625 * (t_1 * (sqrt(2.0) * t_2)))) / (3.0 + (1.5 * ((cos(x) * t_0) + (4.0 * (1.0 / t_3)))));
} else if (x <= 5.8e-6) {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / (3.0 + (1.5 * ((sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))) + -1.0)));
} else {
tmp = (2.0 + (-0.0625 * (t_2 * (sqrt(2.0) * t_1)))) / (3.0 + (1.5 * fma(cos(x), t_0, (4.0 / t_3))));
}
return tmp;
}
function code(x, y) t_0 = Float64(sqrt(5.0) + -1.0) t_1 = sin(x) ^ 2.0 t_2 = Float64(cos(x) + -1.0) t_3 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if (x <= -6.2e-5) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_1 * Float64(sqrt(2.0) * t_2)))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * t_0) + Float64(4.0 * Float64(1.0 / t_3)))))); elseif (x <= 5.8e-6) tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) + -1.0)))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(t_2 * Float64(sqrt(2.0) * t_1)))) / Float64(3.0 + Float64(1.5 * fma(cos(x), t_0, Float64(4.0 / t_3))))); end return tmp end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -6.2e-5], N[(N[(2.0 + N[(-0.0625 * N[(t$95$1 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5.8e-6], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(t$95$2 * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Cos[x], $MachinePrecision] * t$95$0 + N[(4.0 / t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} + -1\\
t_1 := {\sin x}^{2}\\
t_2 := \cos x + -1\\
t_3 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -6.2 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t_1 \cdot \left(\sqrt{2} \cdot t_2\right)\right)}{3 + 1.5 \cdot \left(\cos x \cdot t_0 + 4 \cdot \frac{1}{t_3}\right)}\\
\mathbf{elif}\;x \leq 5.8 \cdot 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(\left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right) + -1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(t_2 \cdot \left(\sqrt{2} \cdot t_1\right)\right)}{3 + 1.5 \cdot \mathsf{fma}\left(\cos x, t_0, \frac{4}{t_3}\right)}\\
\end{array}
\end{array}
if x < -6.20000000000000027e-5Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 99.0%
distribute-lft-out99.0%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.7%
metadata-eval98.7%
pow1/298.7%
pow1/298.7%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 59.6%
if -6.20000000000000027e-5 < x < 5.8000000000000004e-6Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 98.8%
if 5.8000000000000004e-6 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.0%
metadata-eval99.0%
metadata-eval99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 64.3%
associate-*r*64.4%
sub-neg64.4%
metadata-eval64.4%
+-commutative64.4%
*-commutative64.4%
Simplified64.3%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(if (or (<= x -6e-5) (not (<= x 1.8e-5)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+
3.0
(*
1.5
(+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* 4.0 (/ 1.0 (+ 3.0 (sqrt 5.0))))))))
(/
(fma (sqrt 2.0) (* -0.0625 (* (- 1.0 (cos y)) (pow (sin y) 2.0))) 2.0)
(+ 3.0 (* 1.5 (+ (+ (sqrt 5.0) (* (cos y) (- 3.0 (sqrt 5.0)))) -1.0))))))
double code(double x, double y) {
double tmp;
if ((x <= -6e-5) || !(x <= 1.8e-5)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / (3.0 + sqrt(5.0)))))));
} else {
tmp = fma(sqrt(2.0), (-0.0625 * ((1.0 - cos(y)) * pow(sin(y), 2.0))), 2.0) / (3.0 + (1.5 * ((sqrt(5.0) + (cos(y) * (3.0 - sqrt(5.0)))) + -1.0)));
}
return tmp;
}
function code(x, y) tmp = 0.0 if ((x <= -6e-5) || !(x <= 1.8e-5)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(4.0 * Float64(1.0 / Float64(3.0 + sqrt(5.0)))))))); else tmp = Float64(fma(sqrt(2.0), Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * (sin(y) ^ 2.0))), 2.0) / Float64(3.0 + Float64(1.5 * Float64(Float64(sqrt(5.0) + Float64(cos(y) * Float64(3.0 - sqrt(5.0)))) + -1.0)))); end return tmp end
code[x_, y_] := If[Or[LessEqual[x, -6e-5], N[Not[LessEqual[x, 1.8e-5]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(4.0 * N[(1.0 / N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Sqrt[5.0], $MachinePrecision] + N[(N[Cos[y], $MachinePrecision] * N[(3.0 - N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -6 \cdot 10^{-5} \lor \neg \left(x \leq 1.8 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + 4 \cdot \frac{1}{3 + \sqrt{5}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{2}, -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot {\sin y}^{2}\right), 2\right)}{3 + 1.5 \cdot \left(\left(\sqrt{5} + \cos y \cdot \left(3 - \sqrt{5}\right)\right) + -1\right)}\\
\end{array}
\end{array}
if x < -6.00000000000000015e-5 or 1.80000000000000005e-5 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 62.0%
if -6.00000000000000015e-5 < x < 1.80000000000000005e-5Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 98.8%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (+ 3.0 (sqrt 5.0))))
(if (or (<= x -7.8e-5) (not (<= x 8e-6)))
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(+ 3.0 (* 1.5 (+ (* (cos x) (+ (sqrt 5.0) -1.0)) (* 4.0 (/ 1.0 t_0))))))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+ 3.0 (* 1.5 (+ (sqrt 5.0) (+ -1.0 (/ 4.0 (/ t_0 (cos y)))))))))))
double code(double x, double y) {
double t_0 = 3.0 + sqrt(5.0);
double tmp;
if ((x <= -7.8e-5) || !(x <= 8e-6)) {
tmp = (2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0)))));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 + (1.5 * (sqrt(5.0) + (-1.0 + (4.0 / (t_0 / cos(y)))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = 3.0d0 + sqrt(5.0d0)
if ((x <= (-7.8d-5)) .or. (.not. (x <= 8d-6))) then
tmp = (2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / (3.0d0 + (1.5d0 * ((cos(x) * (sqrt(5.0d0) + (-1.0d0))) + (4.0d0 * (1.0d0 / t_0)))))
else
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + ((-1.0d0) + (4.0d0 / (t_0 / cos(y)))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = 3.0 + Math.sqrt(5.0);
double tmp;
if ((x <= -7.8e-5) || !(x <= 8e-6)) {
tmp = (2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / (3.0 + (1.5 * ((Math.cos(x) * (Math.sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0)))));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (1.5 * (Math.sqrt(5.0) + (-1.0 + (4.0 / (t_0 / Math.cos(y)))))));
}
return tmp;
}
def code(x, y): t_0 = 3.0 + math.sqrt(5.0) tmp = 0 if (x <= -7.8e-5) or not (x <= 8e-6): tmp = (2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / (3.0 + (1.5 * ((math.cos(x) * (math.sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0))))) else: tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 + (1.5 * (math.sqrt(5.0) + (-1.0 + (4.0 / (t_0 / math.cos(y))))))) return tmp
function code(x, y) t_0 = Float64(3.0 + sqrt(5.0)) tmp = 0.0 if ((x <= -7.8e-5) || !(x <= 8e-6)) tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(3.0 + Float64(1.5 * Float64(Float64(cos(x) * Float64(sqrt(5.0) + -1.0)) + Float64(4.0 * Float64(1.0 / t_0)))))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(sqrt(5.0) + Float64(-1.0 + Float64(4.0 / Float64(t_0 / cos(y)))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = 3.0 + sqrt(5.0); tmp = 0.0; if ((x <= -7.8e-5) || ~((x <= 8e-6))) tmp = (2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / (3.0 + (1.5 * ((cos(x) * (sqrt(5.0) + -1.0)) + (4.0 * (1.0 / t_0))))); else tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 + (1.5 * (sqrt(5.0) + (-1.0 + (4.0 / (t_0 / cos(y))))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -7.8e-5], N[Not[LessEqual[x, 8e-6]], $MachinePrecision]], N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[(N[Cos[x], $MachinePrecision] * N[(N[Sqrt[5.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + N[(4.0 * N[(1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(-1.0 + N[(4.0 / N[(t$95$0 / N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 3 + \sqrt{5}\\
\mathbf{if}\;x \leq -7.8 \cdot 10^{-5} \lor \neg \left(x \leq 8 \cdot 10^{-6}\right):\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{3 + 1.5 \cdot \left(\cos x \cdot \left(\sqrt{5} + -1\right) + 4 \cdot \frac{1}{t_0}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(-1 + \frac{4}{\frac{t_0}{\cos y}}\right)\right)}\\
\end{array}
\end{array}
if x < -7.7999999999999999e-5 or 7.99999999999999964e-6 < x Initial program 98.8%
Simplified98.9%
Taylor expanded in y around inf 98.9%
distribute-lft-out98.9%
fma-def99.0%
sub-neg99.0%
metadata-eval99.0%
Simplified99.0%
flip--98.6%
metadata-eval98.6%
pow1/298.6%
pow1/298.6%
pow-prod-up99.1%
metadata-eval99.1%
metadata-eval99.1%
metadata-eval99.1%
Applied egg-rr99.1%
Taylor expanded in x around inf 99.1%
Taylor expanded in y around 0 62.0%
if -7.7999999999999999e-5 < x < 7.99999999999999964e-6Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
Taylor expanded in x around 0 98.8%
associate-*r*98.8%
*-commutative98.8%
associate--l+98.8%
associate-*r/98.8%
associate-/l*98.8%
+-commutative98.8%
Simplified98.8%
Final simplification79.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -6e-5) (not (<= x 1.35e-5)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(- (+ 2.5 (* (cos x) (- t_0 0.5))) t_0)))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin y) 2.0) (* (sqrt 2.0) (- 1.0 (cos y))))))
(+ 0.5 (+ t_0 (* (cos y) (- 1.5 t_0)))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -6e-5) || !(x <= 1.35e-5)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / ((2.5 + (cos(x) * (t_0 - 0.5))) - t_0));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(y), 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + (t_0 + (cos(y) * (1.5 - t_0)))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-6d-5)) .or. (.not. (x <= 1.35d-5))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / ((2.5d0 + (cos(x) * (t_0 - 0.5d0))) - t_0))
else
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(y) ** 2.0d0) * (sqrt(2.0d0) * (1.0d0 - cos(y)))))) / (0.5d0 + (t_0 + (cos(y) * (1.5d0 - t_0)))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -6e-5) || !(x <= 1.35e-5)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / ((2.5 + (Math.cos(x) * (t_0 - 0.5))) - t_0));
} else {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(y), 2.0) * (Math.sqrt(2.0) * (1.0 - Math.cos(y)))))) / (0.5 + (t_0 + (Math.cos(y) * (1.5 - t_0)))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -6e-5) or not (x <= 1.35e-5): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / ((2.5 + (math.cos(x) * (t_0 - 0.5))) - t_0)) else: tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(y), 2.0) * (math.sqrt(2.0) * (1.0 - math.cos(y)))))) / (0.5 + (t_0 + (math.cos(y) * (1.5 - t_0))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -6e-5) || !(x <= 1.35e-5)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(Float64(2.5 + Float64(cos(x) * Float64(t_0 - 0.5))) - t_0))); else tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(y) ^ 2.0) * Float64(sqrt(2.0) * Float64(1.0 - cos(y)))))) / Float64(0.5 + Float64(t_0 + Float64(cos(y) * Float64(1.5 - t_0)))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -6e-5) || ~((x <= 1.35e-5))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / ((2.5 + (cos(x) * (t_0 - 0.5))) - t_0)); else tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(y) ^ 2.0) * (sqrt(2.0) * (1.0 - cos(y)))))) / (0.5 + (t_0 + (cos(y) * (1.5 - t_0))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -6e-5], N[Not[LessEqual[x, 1.35e-5]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.5 + N[(t$95$0 + N[(N[Cos[y], $MachinePrecision] * N[(1.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -6 \cdot 10^{-5} \lor \neg \left(x \leq 1.35 \cdot 10^{-5}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{\left(2.5 + \cos x \cdot \left(t_0 - 0.5\right)\right) - t_0}\\
\mathbf{else}:\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin y}^{2} \cdot \left(\sqrt{2} \cdot \left(1 - \cos y\right)\right)\right)}{0.5 + \left(t_0 + \cos y \cdot \left(1.5 - t_0\right)\right)}\\
\end{array}
\end{array}
if x < -6.00000000000000015e-5 or 1.3499999999999999e-5 < x Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 61.8%
if -6.00000000000000015e-5 < x < 1.3499999999999999e-5Initial program 99.7%
associate-*l*99.7%
distribute-lft-in99.7%
cos-neg99.7%
distribute-lft-in99.7%
Simplified99.7%
Taylor expanded in x around 0 98.7%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(if (or (<= x -0.000155) (not (<= x 7.6e-6)))
(*
0.3333333333333333
(/
(+
2.0
(* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(- (+ 2.5 (* (cos x) (- t_0 0.5))) t_0)))
(/
(+ 2.0 (* -0.0625 (* (- 1.0 (cos y)) (* (sqrt 2.0) (pow (sin y) 2.0)))))
(+
3.0
(*
1.5
(+ (sqrt 5.0) (+ -1.0 (/ 4.0 (/ (+ 3.0 (sqrt 5.0)) (cos y)))))))))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.000155) || !(x <= 7.6e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / ((2.5 + (cos(x) * (t_0 - 0.5))) - t_0));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * pow(sin(y), 2.0))))) / (3.0 + (1.5 * (sqrt(5.0) + (-1.0 + (4.0 / ((3.0 + sqrt(5.0)) / cos(y)))))));
}
return tmp;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(5.0d0) * 0.5d0
if ((x <= (-0.000155d0)) .or. (.not. (x <= 7.6d-6))) then
tmp = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / ((2.5d0 + (cos(x) * (t_0 - 0.5d0))) - t_0))
else
tmp = (2.0d0 + ((-0.0625d0) * ((1.0d0 - cos(y)) * (sqrt(2.0d0) * (sin(y) ** 2.0d0))))) / (3.0d0 + (1.5d0 * (sqrt(5.0d0) + ((-1.0d0) + (4.0d0 / ((3.0d0 + sqrt(5.0d0)) / cos(y)))))))
end if
code = tmp
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
double tmp;
if ((x <= -0.000155) || !(x <= 7.6e-6)) {
tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / ((2.5 + (Math.cos(x) * (t_0 - 0.5))) - t_0));
} else {
tmp = (2.0 + (-0.0625 * ((1.0 - Math.cos(y)) * (Math.sqrt(2.0) * Math.pow(Math.sin(y), 2.0))))) / (3.0 + (1.5 * (Math.sqrt(5.0) + (-1.0 + (4.0 / ((3.0 + Math.sqrt(5.0)) / Math.cos(y)))))));
}
return tmp;
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 tmp = 0 if (x <= -0.000155) or not (x <= 7.6e-6): tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / ((2.5 + (math.cos(x) * (t_0 - 0.5))) - t_0)) else: tmp = (2.0 + (-0.0625 * ((1.0 - math.cos(y)) * (math.sqrt(2.0) * math.pow(math.sin(y), 2.0))))) / (3.0 + (1.5 * (math.sqrt(5.0) + (-1.0 + (4.0 / ((3.0 + math.sqrt(5.0)) / math.cos(y))))))) return tmp
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) tmp = 0.0 if ((x <= -0.000155) || !(x <= 7.6e-6)) tmp = Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(Float64(2.5 + Float64(cos(x) * Float64(t_0 - 0.5))) - t_0))); else tmp = Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(1.0 - cos(y)) * Float64(sqrt(2.0) * (sin(y) ^ 2.0))))) / Float64(3.0 + Float64(1.5 * Float64(sqrt(5.0) + Float64(-1.0 + Float64(4.0 / Float64(Float64(3.0 + sqrt(5.0)) / cos(y)))))))); end return tmp end
function tmp_2 = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.0; if ((x <= -0.000155) || ~((x <= 7.6e-6))) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / ((2.5 + (cos(x) * (t_0 - 0.5))) - t_0)); else tmp = (2.0 + (-0.0625 * ((1.0 - cos(y)) * (sqrt(2.0) * (sin(y) ^ 2.0))))) / (3.0 + (1.5 * (sqrt(5.0) + (-1.0 + (4.0 / ((3.0 + sqrt(5.0)) / cos(y))))))); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, If[Or[LessEqual[x, -0.000155], N[Not[LessEqual[x, 7.6e-6]], $MachinePrecision]], N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(-0.0625 * N[(N[(1.0 - N[Cos[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[N[Sin[y], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(3.0 + N[(1.5 * N[(N[Sqrt[5.0], $MachinePrecision] + N[(-1.0 + N[(4.0 / N[(N[(3.0 + N[Sqrt[5.0], $MachinePrecision]), $MachinePrecision] / N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
\mathbf{if}\;x \leq -0.000155 \lor \neg \left(x \leq 7.6 \cdot 10^{-6}\right):\\
\;\;\;\;0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{\left(2.5 + \cos x \cdot \left(t_0 - 0.5\right)\right) - t_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 + -0.0625 \cdot \left(\left(1 - \cos y\right) \cdot \left(\sqrt{2} \cdot {\sin y}^{2}\right)\right)}{3 + 1.5 \cdot \left(\sqrt{5} + \left(-1 + \frac{4}{\frac{3 + \sqrt{5}}{\cos y}}\right)\right)}\\
\end{array}
\end{array}
if x < -1.55e-4 or 7.6000000000000001e-6 < x Initial program 98.8%
associate-*l*98.8%
distribute-lft-in98.9%
cos-neg98.9%
distribute-lft-in98.8%
Simplified98.8%
Taylor expanded in y around 0 61.8%
if -1.55e-4 < x < 7.6000000000000001e-6Initial program 99.7%
Simplified99.7%
Taylor expanded in y around inf 99.7%
distribute-lft-out99.7%
fma-def99.7%
sub-neg99.7%
metadata-eval99.7%
Simplified99.7%
flip--99.6%
metadata-eval99.6%
pow1/299.6%
pow1/299.6%
pow-prod-up99.7%
metadata-eval99.7%
metadata-eval99.7%
metadata-eval99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
Taylor expanded in x around 0 98.8%
associate-*r*98.8%
*-commutative98.8%
associate--l+98.8%
associate-*r/98.8%
associate-/l*98.8%
+-commutative98.8%
Simplified98.8%
Final simplification78.8%
(FPCore (x y)
:precision binary64
(let* ((t_0 (* (sqrt 5.0) 0.5)))
(*
0.3333333333333333
(/
(+ 2.0 (* -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0)))))
(- (+ 2.5 (* (cos x) (- t_0 0.5))) t_0)))))
double code(double x, double y) {
double t_0 = sqrt(5.0) * 0.5;
return 0.3333333333333333 * ((2.0 + (-0.0625 * (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / ((2.5 + (cos(x) * (t_0 - 0.5))) - t_0));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt(5.0d0) * 0.5d0
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sin(x) ** 2.0d0) * (sqrt(2.0d0) * (cos(x) + (-1.0d0)))))) / ((2.5d0 + (cos(x) * (t_0 - 0.5d0))) - t_0))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt(5.0) * 0.5;
return 0.3333333333333333 * ((2.0 + (-0.0625 * (Math.pow(Math.sin(x), 2.0) * (Math.sqrt(2.0) * (Math.cos(x) + -1.0))))) / ((2.5 + (Math.cos(x) * (t_0 - 0.5))) - t_0));
}
def code(x, y): t_0 = math.sqrt(5.0) * 0.5 return 0.3333333333333333 * ((2.0 + (-0.0625 * (math.pow(math.sin(x), 2.0) * (math.sqrt(2.0) * (math.cos(x) + -1.0))))) / ((2.5 + (math.cos(x) * (t_0 - 0.5))) - t_0))
function code(x, y) t_0 = Float64(sqrt(5.0) * 0.5) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))))) / Float64(Float64(2.5 + Float64(cos(x) * Float64(t_0 - 0.5))) - t_0))) end
function tmp = code(x, y) t_0 = sqrt(5.0) * 0.5; tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sin(x) ^ 2.0) * (sqrt(2.0) * (cos(x) + -1.0))))) / ((2.5 + (cos(x) * (t_0 - 0.5))) - t_0)); end
code[x_, y_] := Block[{t$95$0 = N[(N[Sqrt[5.0], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.5 + N[(N[Cos[x], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{5} \cdot 0.5\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left({\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right)\right)}{\left(2.5 + \cos x \cdot \left(t_0 - 0.5\right)\right) - t_0}
\end{array}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.3%
cos-neg99.3%
distribute-lft-in99.2%
Simplified99.2%
Taylor expanded in y around 0 63.1%
Final simplification63.1%
(FPCore (x y)
:precision binary64
(pow
(sqrt
(*
0.3333333333333333
(*
0.5
(fma -0.0625 (* (pow (sin x) 2.0) (* (sqrt 2.0) (+ (cos x) -1.0))) 2.0))))
2.0))
double code(double x, double y) {
return pow(sqrt((0.3333333333333333 * (0.5 * fma(-0.0625, (pow(sin(x), 2.0) * (sqrt(2.0) * (cos(x) + -1.0))), 2.0)))), 2.0);
}
function code(x, y) return sqrt(Float64(0.3333333333333333 * Float64(0.5 * fma(-0.0625, Float64((sin(x) ^ 2.0) * Float64(sqrt(2.0) * Float64(cos(x) + -1.0))), 2.0)))) ^ 2.0 end
code[x_, y_] := N[Power[N[Sqrt[N[(0.3333333333333333 * N[(0.5 * N[(-0.0625 * N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(\sqrt{0.3333333333333333 \cdot \left(0.5 \cdot \mathsf{fma}\left(-0.0625, {\sin x}^{2} \cdot \left(\sqrt{2} \cdot \left(\cos x + -1\right)\right), 2\right)\right)}\right)}^{2}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.3%
cos-neg99.3%
distribute-lft-in99.2%
Simplified99.2%
Taylor expanded in y around 0 63.1%
Taylor expanded in x around 0 40.8%
add-sqr-sqrt40.8%
pow240.8%
Applied egg-rr40.8%
Final simplification40.8%
(FPCore (x y)
:precision binary64
(*
0.3333333333333333
(/
(+
2.0
(*
-0.0625
(* (* (sqrt 2.0) (+ (cos x) -1.0)) (- 0.5 (/ (cos (* 2.0 x)) 2.0)))))
2.0)))
double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0 * ((2.0d0 + ((-0.0625d0) * ((sqrt(2.0d0) * (cos(x) + (-1.0d0))) * (0.5d0 - (cos((2.0d0 * x)) / 2.0d0))))) / 2.0d0)
end function
public static double code(double x, double y) {
return 0.3333333333333333 * ((2.0 + (-0.0625 * ((Math.sqrt(2.0) * (Math.cos(x) + -1.0)) * (0.5 - (Math.cos((2.0 * x)) / 2.0))))) / 2.0);
}
def code(x, y): return 0.3333333333333333 * ((2.0 + (-0.0625 * ((math.sqrt(2.0) * (math.cos(x) + -1.0)) * (0.5 - (math.cos((2.0 * x)) / 2.0))))) / 2.0)
function code(x, y) return Float64(0.3333333333333333 * Float64(Float64(2.0 + Float64(-0.0625 * Float64(Float64(sqrt(2.0) * Float64(cos(x) + -1.0)) * Float64(0.5 - Float64(cos(Float64(2.0 * x)) / 2.0))))) / 2.0)) end
function tmp = code(x, y) tmp = 0.3333333333333333 * ((2.0 + (-0.0625 * ((sqrt(2.0) * (cos(x) + -1.0)) * (0.5 - (cos((2.0 * x)) / 2.0))))) / 2.0); end
code[x_, y_] := N[(0.3333333333333333 * N[(N[(2.0 + N[(-0.0625 * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Cos[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(2.0 * x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.3333333333333333 \cdot \frac{2 + -0.0625 \cdot \left(\left(\sqrt{2} \cdot \left(\cos x + -1\right)\right) \cdot \left(0.5 - \frac{\cos \left(2 \cdot x\right)}{2}\right)\right)}{2}
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.3%
cos-neg99.3%
distribute-lft-in99.2%
Simplified99.2%
Taylor expanded in y around 0 63.1%
Taylor expanded in x around 0 40.8%
unpow240.8%
sin-mult40.8%
Applied egg-rr40.8%
div-sub40.8%
+-inverses40.8%
cos-040.8%
metadata-eval40.8%
count-240.8%
*-commutative40.8%
Simplified40.8%
Final simplification40.8%
(FPCore (x y) :precision binary64 0.3333333333333333)
double code(double x, double y) {
return 0.3333333333333333;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 0.3333333333333333d0
end function
public static double code(double x, double y) {
return 0.3333333333333333;
}
def code(x, y): return 0.3333333333333333
function code(x, y) return 0.3333333333333333 end
function tmp = code(x, y) tmp = 0.3333333333333333; end
code[x_, y_] := 0.3333333333333333
\begin{array}{l}
\\
0.3333333333333333
\end{array}
Initial program 99.2%
associate-*l*99.2%
distribute-lft-in99.3%
cos-neg99.3%
distribute-lft-in99.2%
Simplified99.2%
Taylor expanded in y around 0 63.1%
Taylor expanded in x around 0 40.8%
Taylor expanded in x around 0 40.7%
Final simplification40.7%
herbie shell --seed 2024018
(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))))))