
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Herbie found 50 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 lambda1)))
(t_1
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) t_0)
(*
(fma
t_0
(cos (/ PI 2.0))
(* (cos (* 0.5 lambda1)) (sin (/ PI 2.0))))
(sin (* 0.5 lambda2))))
2.0))))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * lambda1));
double t_1 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * t_0) - (fma(t_0, cos((((double) M_PI) / 2.0)), (cos((0.5 * lambda1)) * sin((((double) M_PI) / 2.0)))) * sin((0.5 * lambda2)))), 2.0)));
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * lambda1)) t_1 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * t_0) - Float64(fma(t_0, cos(Float64(pi / 2.0)), Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(pi / 2.0)))) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - N[(N[(t$95$0 * N[Cos[N[(Pi / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(Pi / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \lambda_1\right)\\
t_1 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot t\_0 - \mathsf{fma}\left(t\_0, \cos \left(\frac{\pi}{2}\right), \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(\frac{\pi}{2}\right)\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites98.6%
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(fma
(sin (/ phi2 2.0))
(- (cos (/ phi1 2.0)))
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0))))
2.0)
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(sin((phi2 / 2.0)), -cos((phi1 / 2.0)), (sin((phi1 / 2.0)) * cos((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((fma(sin(Float64(phi2 / 2.0)), Float64(-cos(Float64(phi1 / 2.0))), Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0)))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]) + N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right), \sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites98.6%
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) t_0)))
(sqrt
(-
1.0
(fma
(cos phi1)
t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * t_0))), sqrt((1.0 - fma(cos(phi1), t_0, pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * t_0))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(-
1.0
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt((1.0 - (pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * t_0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(1.0 - Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * t_0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = (((cos((0.5d0 * phi2)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((0.5d0 * phi2)))) ** 2.0d0) + (cos(phi1) * (cos(phi2) * (((cos((0.5d0 * lambda2)) * sin((0.5d0 * lambda1))) - (cos((0.5d0 * lambda1)) * sin((0.5d0 * lambda2)))) ** 2.0d0)))
code = r * (2.0d0 * atan2(sqrt(t_0), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((0.5 * phi2)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((0.5 * phi2)))), 2.0) + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(((Math.cos((0.5 * lambda2)) * Math.sin((0.5 * lambda1))) - (Math.cos((0.5 * lambda1)) * Math.sin((0.5 * lambda2)))), 2.0)));
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((0.5 * phi2)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((0.5 * phi2)))), 2.0) + (math.cos(phi1) * (math.cos(phi2) * math.pow(((math.cos((0.5 * lambda2)) * math.sin((0.5 * lambda1))) - (math.cos((0.5 * lambda1)) * math.sin((0.5 * lambda2)))), 2.0))) return R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))) ^ 2.0) + (cos(phi1) * (cos(phi2) * (((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))) ^ 2.0))); tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in phi1 around inf
Applied rewrites98.6%
Taylor expanded in phi1 around inf
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi2 phi1)))
(t_1 (sin (* 0.5 lambda2)))
(t_2
(fma
(+ (cos (+ phi2 phi1)) t_0)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_0 0.5))))
(t_3 (* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1))))
(t_4
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (* (cos phi2) (pow (- t_3 t_1) 2.0)))))
(t_5
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(* (cos phi2) (pow (- t_3 (* (cos (* 0.5 lambda1)) t_1)) 2.0))))))
(if (<= lambda1 -1.8e+76)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= lambda1 1.3)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 - phi1));
double t_1 = sin((0.5 * lambda2));
double t_2 = fma((cos((phi2 + phi1)) + t_0), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_0 * 0.5)));
double t_3 = cos((0.5 * lambda2)) * sin((0.5 * lambda1));
double t_4 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * pow((t_3 - t_1), 2.0)));
double t_5 = (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * pow((t_3 - (cos((0.5 * lambda1)) * t_1)), 2.0)));
double tmp;
if (lambda1 <= -1.8e+76) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (lambda1 <= 1.3) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 - phi1)) t_1 = sin(Float64(0.5 * lambda2)) t_2 = fma(Float64(cos(Float64(phi2 + phi1)) + t_0), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_0 * 0.5))) t_3 = Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) t_4 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(t_3 - t_1) ^ 2.0)))) t_5 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(t_3 - Float64(cos(Float64(0.5 * lambda1)) * t_1)) ^ 2.0)))) tmp = 0.0 if (lambda1 <= -1.8e+76) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (lambda1 <= 1.3) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(t$95$3 - t$95$1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(t$95$3 - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.8e+76], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 1.3], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 - \phi_1\right)\\
t_1 := \sin \left(0.5 \cdot \lambda_2\right)\\
t_2 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_0, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_0 \cdot 0.5\right)\\
t_3 := \cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right)\\
t_4 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(t\_3 - t\_1\right)}^{2}\right)\\
t_5 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(t\_3 - \cos \left(0.5 \cdot \lambda_1\right) \cdot t\_1\right)}^{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.8 \cdot 10^{+76}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 1.3:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.8000000000000001e76Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites75.7%
Applied rewrites74.7%
if -1.8000000000000001e76 < lambda1 < 1.30000000000000004Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around 0
Applied rewrites79.3%
Taylor expanded in lambda1 around 0
Applied rewrites78.1%
if 1.30000000000000004 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (* (* t_0 (cos phi1)) (cos phi2)) t_0)))
(t_2 (cos (- phi2 phi1)))
(t_3
(fma
(+ (cos (+ phi2 phi1)) t_2)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_2 0.5))))
(t_4
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(if (<= lambda1 -1.8e+76)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= lambda1 1.3)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (((t_0 * cos(phi1)) * cos(phi2)) * t_0);
double t_2 = cos((phi2 - phi1));
double t_3 = fma((cos((phi2 + phi1)) + t_2), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_2 * 0.5)));
double t_4 = (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
double tmp;
if (lambda1 <= -1.8e+76) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (lambda1 <= 1.3) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(Float64(Float64(t_0 * cos(phi1)) * cos(phi2)) * t_0)) t_2 = cos(Float64(phi2 - phi1)) t_3 = fma(Float64(cos(Float64(phi2 + phi1)) + t_2), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_2 * 0.5))) t_4 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) tmp = 0.0 if (lambda1 <= -1.8e+76) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (lambda1 <= 1.3) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.8e+76], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 1.3], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \left(\left(t\_0 \cdot \cos \phi_1\right) \cdot \cos \phi_2\right) \cdot t\_0\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_2, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_2 \cdot 0.5\right)\\
t_4 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.8 \cdot 10^{+76}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 1.3:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.8000000000000001e76Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites75.7%
Applied rewrites74.7%
if -1.8000000000000001e76 < lambda1 < 1.30000000000000004Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites78.7%
Applied rewrites78.7%
if 1.30000000000000004 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(t_2 (cos (- phi2 phi1)))
(t_3
(fma
(+ (cos (+ phi2 phi1)) t_2)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_2 0.5))))
(t_4
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(if (<= lambda1 -1.8e+76)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= lambda1 1.3)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
double t_2 = cos((phi2 - phi1));
double t_3 = fma((cos((phi2 + phi1)) + t_2), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_2 * 0.5)));
double t_4 = (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
double tmp;
if (lambda1 <= -1.8e+76) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (lambda1 <= 1.3) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) t_2 = cos(Float64(phi2 - phi1)) t_3 = fma(Float64(cos(Float64(phi2 + phi1)) + t_2), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_2 * 0.5))) t_4 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) tmp = 0.0 if (lambda1 <= -1.8e+76) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (lambda1 <= 1.3) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.8e+76], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 1.3], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_2, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_2 \cdot 0.5\right)\\
t_4 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.8 \cdot 10^{+76}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 1.3:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.8000000000000001e76Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites75.7%
Applied rewrites74.7%
if -1.8000000000000001e76 < lambda1 < 1.30000000000000004Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
if 1.30000000000000004 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(t_2 (cos (- phi2 phi1)))
(t_3
(fma
(+ (cos (+ phi2 phi1)) t_2)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_2 0.5))))
(t_4
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(if (<= lambda1 -1.8e+76)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= lambda1 1.3)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
double t_2 = cos((phi2 - phi1));
double t_3 = fma((cos((phi2 + phi1)) + t_2), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_2 * 0.5)));
double t_4 = (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
double tmp;
if (lambda1 <= -1.8e+76) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (lambda1 <= 1.3) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) t_2 = cos(Float64(phi2 - phi1)) t_3 = fma(Float64(cos(Float64(phi2 + phi1)) + t_2), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_2 * 0.5))) t_4 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) tmp = 0.0 if (lambda1 <= -1.8e+76) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (lambda1 <= 1.3) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.8e+76], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 1.3], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_2, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_2 \cdot 0.5\right)\\
t_4 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.8 \cdot 10^{+76}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 1.3:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.8000000000000001e76Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites75.7%
Applied rewrites74.7%
if -1.8000000000000001e76 < lambda1 < 1.30000000000000004Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
if 1.30000000000000004 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (/ phi2 2.0)))
(t_1 (cos (/ phi1 2.0)))
(t_2 (sin (/ phi2 2.0)))
(t_3
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))))
(t_4 (sin (/ phi1 2.0)))
(t_5 (+ (pow (fma t_2 (- t_1) (* t_4 t_0)) 2.0) t_3))
(t_6 (+ (pow (fma t_4 t_0 (- (* t_1 t_2))) 2.0) t_3))
(t_7
(fma
(cos phi1)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)
(pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi2 -7.8e-36)
(* R (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_6)))))
(if (<= phi2 1.01e-56)
(* R (* 2.0 (atan2 (sqrt t_7) (sqrt (- 1.0 t_7)))))
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 / 2.0));
double t_1 = cos((phi1 / 2.0));
double t_2 = sin((phi2 / 2.0));
double t_3 = cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))));
double t_4 = sin((phi1 / 2.0));
double t_5 = pow(fma(t_2, -t_1, (t_4 * t_0)), 2.0) + t_3;
double t_6 = pow(fma(t_4, t_0, -(t_1 * t_2)), 2.0) + t_3;
double t_7 = fma(cos(phi1), pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi2 <= -7.8e-36) {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_6))));
} else if (phi2 <= 1.01e-56) {
tmp = R * (2.0 * atan2(sqrt(t_7), sqrt((1.0 - t_7))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 / 2.0)) t_1 = cos(Float64(phi1 / 2.0)) t_2 = sin(Float64(phi2 / 2.0)) t_3 = Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))) t_4 = sin(Float64(phi1 / 2.0)) t_5 = Float64((fma(t_2, Float64(-t_1), Float64(t_4 * t_0)) ^ 2.0) + t_3) t_6 = Float64((fma(t_4, t_0, Float64(-Float64(t_1 * t_2))) ^ 2.0) + t_3) t_7 = fma(cos(phi1), (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi2 <= -7.8e-36) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_6))))); elseif (phi2 <= 1.01e-56) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_7), sqrt(Float64(1.0 - t_7))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Power[N[(t$95$2 * (-t$95$1) + N[(t$95$4 * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[(N[Power[N[(t$95$4 * t$95$0 + (-N[(t$95$1 * t$95$2), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$7 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-36], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 1.01e-56], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$7], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$7), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\frac{\phi_2}{2}\right)\\
t_1 := \cos \left(\frac{\phi_1}{2}\right)\\
t_2 := \sin \left(\frac{\phi_2}{2}\right)\\
t_3 := \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right)\\
t_4 := \sin \left(\frac{\phi_1}{2}\right)\\
t_5 := {\left(\mathsf{fma}\left(t\_2, -t\_1, t\_4 \cdot t\_0\right)\right)}^{2} + t\_3\\
t_6 := {\left(\mathsf{fma}\left(t\_4, t\_0, -t\_1 \cdot t\_2\right)\right)}^{2} + t\_3\\
t_7 := \mathsf{fma}\left(\cos \phi_1, {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-36}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}}\right)\\
\mathbf{elif}\;\phi_2 \leq 1.01 \cdot 10^{-56}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_7}}{\sqrt{1 - t\_7}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\end{array}
\end{array}
if phi2 < -7.8000000000000001e-36Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
if -7.8000000000000001e-36 < phi2 < 1.01000000000000002e-56Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi2 around 0
Applied rewrites58.0%
Taylor expanded in phi2 around 0
Applied rewrites57.0%
if 1.01000000000000002e-56 < phi2 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Applied rewrites76.1%
Applied rewrites76.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
(t_1
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi2 -7.8e-36)
t_2
(if (<= phi2 1.01e-56)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0), pow(sin((0.5 * phi1)), 2.0));
double t_1 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))))));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi2 <= -7.8e-36) {
tmp = t_2;
} else if (phi2 <= 1.01e-56) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_1 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))))))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi2 <= -7.8e-36) tmp = t_2; elseif (phi2 <= 1.01e-56) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-36], t$95$2, If[LessEqual[phi2, 1.01e-56], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-36}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 1.01 \cdot 10^{-56}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -7.8000000000000001e-36 or 1.01000000000000002e-56 < phi2 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
if -7.8000000000000001e-36 < phi2 < 1.01000000000000002e-56Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi2 around 0
Applied rewrites58.0%
Taylor expanded in phi2 around 0
Applied rewrites57.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* lambda2 (- (/ lambda1 lambda2) 1.0)))))))))
(t_1
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)))))
(t_2 (cos (- phi2 phi1)))
(t_3
(fma
(+ (cos (+ phi2 phi1)) t_2)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_2 0.5)))))
(if (<= lambda1 -1.02e-100)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(if (<= lambda1 1.3)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((lambda2 * ((lambda1 / lambda2) - 1.0)))))));
double t_1 = (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
double t_2 = cos((phi2 - phi1));
double t_3 = fma((cos((phi2 + phi1)) + t_2), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_2 * 0.5)));
double tmp;
if (lambda1 <= -1.02e-100) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else if (lambda1 <= 1.3) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda2 * Float64(Float64(lambda1 / lambda2) - 1.0)))))))) t_1 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) t_2 = cos(Float64(phi2 - phi1)) t_3 = fma(Float64(cos(Float64(phi2 + phi1)) + t_2), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_2 * 0.5))) tmp = 0.0 if (lambda1 <= -1.02e-100) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); elseif (lambda1 <= 1.3) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda2 * N[(N[(lambda1 / lambda2), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.02e-100], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 1.3], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_2 \cdot \left(\frac{\lambda_1}{\lambda_2} - 1\right)\right)\right)\right)\\
t_1 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_2, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_2 \cdot 0.5\right)\\
\mathbf{if}\;\lambda_1 \leq -1.02 \cdot 10^{-100}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 1.3:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.02e-100Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites75.7%
Applied rewrites74.7%
if -1.02e-100 < lambda1 < 1.30000000000000004Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in lambda2 around inf
Applied rewrites62.9%
Taylor expanded in lambda2 around inf
Applied rewrites62.9%
if 1.30000000000000004 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi2 phi1)))
(t_1
(fma
(+ (cos (+ phi2 phi1)) t_0)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_0 0.5))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))))))
(t_3
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0))
(t_4
(+
t_3
(* (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda2))))))))
(t_5
(+ t_3 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))
(if (<= lambda1 -5e-25)
t_2
(if (<= lambda1 -5e-96)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= lambda1 0.0009)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
t_2)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 - phi1));
double t_1 = fma((cos((phi2 + phi1)) + t_0), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_0 * 0.5)));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double t_3 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_4 = t_3 + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos(-lambda2)))));
double t_5 = t_3 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double tmp;
if (lambda1 <= -5e-25) {
tmp = t_2;
} else if (lambda1 <= -5e-96) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (lambda1 <= 0.0009) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 - phi1)) t_1 = fma(Float64(cos(Float64(phi2 + phi1)) + t_0), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_0 * 0.5))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) t_3 = fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0 t_4 = Float64(t_3 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(-lambda2))))))) t_5 = Float64(t_3 + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) tmp = 0.0 if (lambda1 <= -5e-25) tmp = t_2; elseif (lambda1 <= -5e-96) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (lambda1 <= 0.0009) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[(-lambda2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -5e-25], t$95$2, If[LessEqual[lambda1, -5e-96], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 0.0009], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 - \phi_1\right)\\
t_1 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_0, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_0 \cdot 0.5\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2}\\
t_4 := t\_3 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(-\lambda_2\right)\right)\right)\\
t_5 := t\_3 + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\lambda_1 \leq -5 \cdot 10^{-25}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq -5 \cdot 10^{-96}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 0.0009:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -4.99999999999999962e-25 or 8.9999999999999998e-4 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
if -4.99999999999999962e-25 < lambda1 < -4.99999999999999995e-96Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Taylor expanded in phi1 around 0
Applied rewrites59.2%
Taylor expanded in phi1 around 0
Applied rewrites56.1%
if -4.99999999999999995e-96 < lambda1 < 8.9999999999999998e-4Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in lambda1 around 0
Applied rewrites56.2%
Taylor expanded in lambda1 around 0
Applied rewrites55.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi2 phi1)))
(t_1
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda2)))))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(t_2
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(t_3
(fma
(+ (cos (+ phi2 phi1)) t_0)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_0 0.5))))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= lambda1 -5e-25)
t_4
(if (<= lambda1 -5e-96)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(if (<= lambda1 0.0009)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_4)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 - phi1));
double t_1 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(-lambda2)))), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0));
double t_2 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_3 = fma((cos((phi2 + phi1)) + t_0), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_0 * 0.5)));
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (lambda1 <= -5e-25) {
tmp = t_4;
} else if (lambda1 <= -5e-96) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else if (lambda1 <= 0.0009) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 - phi1)) t_1 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(-lambda2))))), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0)) t_2 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) t_3 = fma(Float64(cos(Float64(phi2 + phi1)) + t_0), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_0 * 0.5))) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (lambda1 <= -5e-25) tmp = t_4; elseif (lambda1 <= -5e-96) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); elseif (lambda1 <= 0.0009) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[(-lambda2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -5e-25], t$95$4, If[LessEqual[lambda1, -5e-96], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 0.0009], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 - \phi_1\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(-\lambda_2\right)\right), {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)\\
t_2 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_3 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_0, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_0 \cdot 0.5\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;\lambda_1 \leq -5 \cdot 10^{-25}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 \leq -5 \cdot 10^{-96}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 0.0009:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if lambda1 < -4.99999999999999962e-25 or 8.9999999999999998e-4 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
if -4.99999999999999962e-25 < lambda1 < -4.99999999999999995e-96Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Taylor expanded in phi1 around 0
Applied rewrites59.2%
Taylor expanded in phi1 around 0
Applied rewrites56.1%
if -4.99999999999999995e-96 < lambda1 < 8.9999999999999998e-4Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in lambda1 around 0
Applied rewrites56.2%
Taylor expanded in lambda1 around 0
Applied rewrites55.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda2))))))))
(t_1 (cos (- phi2 phi1)))
(t_2
(fma
(+ (cos (+ phi2 phi1)) t_1)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_1 0.5))))
(t_3
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))))))
(if (<= lambda1 -1.02e-100)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= lambda1 0.0009)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos(-lambda2)))));
double t_1 = cos((phi2 - phi1));
double t_2 = fma((cos((phi2 + phi1)) + t_1), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_1 * 0.5)));
double t_3 = (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)));
double tmp;
if (lambda1 <= -1.02e-100) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (lambda1 <= 0.0009) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(-lambda2))))))) t_1 = cos(Float64(phi2 - phi1)) t_2 = fma(Float64(cos(Float64(phi2 + phi1)) + t_1), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_1 * 0.5))) t_3 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)))) tmp = 0.0 if (lambda1 <= -1.02e-100) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (lambda1 <= 0.0009) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[(-lambda2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.02e-100], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 0.0009], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(-\lambda_2\right)\right)\right)\\
t_1 := \cos \left(\phi_2 - \phi_1\right)\\
t_2 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_1, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_1 \cdot 0.5\right)\\
t_3 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.02 \cdot 10^{-100}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 0.0009:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.02e-100Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Taylor expanded in lambda1 around inf
Applied rewrites98.6%
Applied rewrites75.7%
Applied rewrites74.7%
if -1.02e-100 < lambda1 < 8.9999999999999998e-4Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in lambda1 around 0
Applied rewrites56.2%
Taylor expanded in lambda1 around 0
Applied rewrites55.8%
if 8.9999999999999998e-4 < lambda1 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi2 phi1)))
(t_1
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos lambda1))))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(t_2
(fma
(+ (cos (+ phi2 phi1)) t_0)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_0 0.5))))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= lambda2 -0.00046)
t_3
(if (<= lambda2 0.00178)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 - phi1));
double t_1 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda1)))), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0));
double t_2 = fma((cos((phi2 + phi1)) + t_0), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_0 * 0.5)));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (lambda2 <= -0.00046) {
tmp = t_3;
} else if (lambda2 <= 0.00178) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 - phi1)) t_1 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda1)))), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0)) t_2 = fma(Float64(cos(Float64(phi2 + phi1)) + t_0), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_0 * 0.5))) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (lambda2 <= -0.00046) tmp = t_3; elseif (lambda2 <= 0.00178) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -0.00046], t$95$3, If[LessEqual[lambda2, 0.00178], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 - \phi_1\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \lambda_1\right), {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_0, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_0 \cdot 0.5\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\lambda_2 \leq -0.00046:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_2 \leq 0.00178:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda2 < -4.6000000000000001e-4 or 0.0017799999999999999 < lambda2 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
if -4.6000000000000001e-4 < lambda2 < 0.0017799999999999999Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in lambda2 around 0
Applied rewrites55.9%
Taylor expanded in lambda2 around 0
Applied rewrites55.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (cos (- phi2 phi1)))
(t_3
(fma
(+ (cos (+ phi2 phi1)) t_2)
(/
(-
0.5
(*
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))
0.5))
2.0)
(- 0.5 (* t_2 0.5))))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= t_1 -2000000000.0)
t_4
(if (<= t_1 0.02)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = cos((phi2 - phi1));
double t_3 = fma((cos((phi2 + phi1)) + t_2), ((0.5 - (fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), (0.5 - (t_2 * 0.5)));
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (t_1 <= -2000000000.0) {
tmp = t_4;
} else if (t_1 <= 0.02) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = cos(Float64(phi2 - phi1)) t_3 = fma(Float64(cos(Float64(phi2 + phi1)) + t_2), Float64(Float64(0.5 - Float64(fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2))) * 0.5)) / 2.0), Float64(0.5 - Float64(t_2 * 0.5))) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (t_1 <= -2000000000.0) tmp = t_4; elseif (t_1 <= 0.02) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] * N[(N[(0.5 - N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -2000000000.0], t$95$4, If[LessEqual[t$95$1, 0.02], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_2, \frac{0.5 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right) \cdot 0.5}{2}, 0.5 - t\_2 \cdot 0.5\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;t\_1 \leq -2000000000:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;t\_1 \leq 0.02:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -2e9 or 0.0200000000000000004 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.7%
Applied rewrites73.1%
if -2e9 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 0.0200000000000000004Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Taylor expanded in phi2 around 0
Applied rewrites59.4%
Taylor expanded in phi2 around 0
Applied rewrites56.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(t_3
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))
(if (<= phi1 -0.013)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 3.8e-34)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0));
double t_3 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double tmp;
if (phi1 <= -0.013) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 3.8e-34) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0)) t_3 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) tmp = 0.0 if (phi1 <= -0.013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 3.8e-34) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.8e-34], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.8 \cdot 10^{-34}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0129999999999999994Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Taylor expanded in phi2 around 0
Applied rewrites59.4%
Taylor expanded in phi2 around 0
Applied rewrites56.2%
if -0.0129999999999999994 < phi1 < 3.8000000000000001e-34Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi1 around 0
Applied rewrites57.6%
Taylor expanded in phi1 around 0
Applied rewrites56.7%
if 3.8000000000000001e-34 < phi1 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi2 around 0
Applied rewrites58.0%
Taylor expanded in phi2 around 0
Applied rewrites57.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(t_3
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))))
(if (<= phi1 -0.013)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 3.8e-34)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0));
double t_3 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2)))));
double tmp;
if (phi1 <= -0.013) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 3.8e-34) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0)) t_3 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) tmp = 0.0 if (phi1 <= -0.013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 3.8e-34) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.8e-34], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
\mathbf{if}\;\phi_1 \leq -0.013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.8 \cdot 10^{-34}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0129999999999999994Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi2 around 0
Applied rewrites56.8%
Taylor expanded in phi2 around 0
Applied rewrites53.6%
if -0.0129999999999999994 < phi1 < 3.8000000000000001e-34Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi1 around 0
Applied rewrites57.6%
Taylor expanded in phi1 around 0
Applied rewrites56.7%
if 3.8000000000000001e-34 < phi1 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi2 around 0
Applied rewrites58.0%
Taylor expanded in phi2 around 0
Applied rewrites57.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2
(fma
(cos phi1)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
(t_3 (* (cos phi1) (cos phi2)))
(t_4
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (* t_3 t_1) t_1)))
(sqrt
(-
1.0
(fma
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_3
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))))))))
(if (<= phi2 -7.8e-36)
t_4
(if (<= phi2 6.4e-75)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = sin(t_0);
double t_2 = fma(cos(phi1), pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0), pow(sin((0.5 * phi1)), 2.0));
double t_3 = cos(phi1) * cos(phi2);
double t_4 = R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + ((t_3 * t_1) * t_1))), sqrt((1.0 - fma((0.5 - (0.5 * cos((2.0 * t_0)))), t_3, (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))))));
double tmp;
if (phi2 <= -7.8e-36) {
tmp = t_4;
} else if (phi2 <= 6.4e-75) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = fma(cos(phi1), (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(Float64(t_3 * t_1) * t_1))), sqrt(Float64(1.0 - fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_3, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))))))) tmp = 0.0 if (phi2 <= -7.8e-36) tmp = t_4; elseif (phi2 <= 6.4e-75) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$3 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-36], t$95$4, If[LessEqual[phi2, 6.4e-75], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := \mathsf{fma}\left(\cos \phi_1, {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \left(t\_3 \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_3, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-36}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_2 \leq 6.4 \cdot 10^{-75}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi2 < -7.8000000000000001e-36 or 6.39999999999999953e-75 < phi2 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites63.4%
if -7.8000000000000001e-36 < phi2 < 6.39999999999999953e-75Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites77.8%
Applied rewrites79.3%
Applied rewrites78.9%
Applied rewrites98.6%
Taylor expanded in phi2 around 0
Applied rewrites58.0%
Taylor expanded in phi2 around 0
Applied rewrites57.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- phi1 phi2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= phi1 -1.25e+35)
t_4
(if (<= phi1 6.2e+15)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow t_0 2.0) (* (* t_1 t_2) t_2)))
(sqrt
(fma
(sin (/ (- phi2 phi1) 2.0))
t_0
(fma
(-
(*
(fma
(sin lambda2)
(sin lambda1)
(* (cos lambda1) (cos lambda2)))
0.5)
0.5)
t_1
1.0))))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((phi1 - phi2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2)))));
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (phi1 <= -1.25e+35) {
tmp = t_4;
} else if (phi1 <= 6.2e+15) {
tmp = R * (2.0 * atan2(sqrt((pow(t_0, 2.0) + ((t_1 * t_2) * t_2))), sqrt(fma(sin(((phi2 - phi1) / 2.0)), t_0, fma(((fma(sin(lambda2), sin(lambda1), (cos(lambda1) * cos(lambda2))) * 0.5) - 0.5), t_1, 1.0)))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (phi1 <= -1.25e+35) tmp = t_4; elseif (phi1 <= 6.2e+15) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((t_0 ^ 2.0) + Float64(Float64(t_1 * t_2) * t_2))), sqrt(fma(sin(Float64(Float64(phi2 - phi1) / 2.0)), t_0, fma(Float64(Float64(fma(sin(lambda2), sin(lambda1), Float64(cos(lambda1) * cos(lambda2))) * 0.5) - 0.5), t_1, 1.0)))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.25e+35], t$95$4, If[LessEqual[phi1, 6.2e+15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[t$95$0, 2.0], $MachinePrecision] + N[(N[(t$95$1 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * t$95$0 + N[(N[(N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.25 \cdot 10^{+35}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_1 \leq 6.2 \cdot 10^{+15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{t\_0}^{2} + \left(t\_1 \cdot t\_2\right) \cdot t\_2}}{\sqrt{\mathsf{fma}\left(\sin \left(\frac{\phi_2 - \phi_1}{2}\right), t\_0, \mathsf{fma}\left(\mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_1 \cdot \cos \lambda_2\right) \cdot 0.5 - 0.5, t\_1, 1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi1 < -1.25000000000000005e35 or 6.2e15 < phi1 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi2 around 0
Applied rewrites56.8%
Taylor expanded in phi2 around 0
Applied rewrites53.6%
if -1.25000000000000005e35 < phi1 < 6.2e15Initial program 62.4%
Applied rewrites62.4%
Applied rewrites62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (cos (- phi2 phi1)))
(t_2
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi1 -1.25e+35)
t_3
(if (<= phi1 1.8e+26)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(fma
(+ (cos (+ phi2 phi1)) t_1)
(* (/ 1.0 2.0) (- (* (cos (- lambda2 lambda1)) 0.5) 0.5))
(+ 0.5 (* t_1 0.5)))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos((phi2 - phi1));
double t_2 = pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2)))));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi1 <= -1.25e+35) {
tmp = t_3;
} else if (phi1 <= 1.8e+26) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fma((cos((phi2 + phi1)) + t_1), ((1.0 / 2.0) * ((cos((lambda2 - lambda1)) * 0.5) - 0.5)), (0.5 + (t_1 * 0.5))))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = cos(Float64(phi2 - phi1)) t_2 = Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi1 <= -1.25e+35) tmp = t_3; elseif (phi1 <= 1.8e+26) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fma(Float64(cos(Float64(phi2 + phi1)) + t_1), Float64(Float64(1.0 / 2.0) * Float64(Float64(cos(Float64(lambda2 - lambda1)) * 0.5) - 0.5)), Float64(0.5 + Float64(t_1 * 0.5))))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.25e+35], t$95$3, If[LessEqual[phi1, 1.8e+26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] * N[(N[(1.0 / 2.0), $MachinePrecision] * N[(N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \left(\phi_2 - \phi_1\right)\\
t_2 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.25 \cdot 10^{+35}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.8 \cdot 10^{+26}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_1, \frac{1}{2} \cdot \left(\cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5 - 0.5\right), 0.5 + t\_1 \cdot 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -1.25000000000000005e35 or 1.80000000000000012e26 < phi1 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi2 around 0
Applied rewrites56.8%
Taylor expanded in phi2 around 0
Applied rewrites53.6%
if -1.25000000000000005e35 < phi1 < 1.80000000000000012e26Initial program 62.4%
Applied rewrites63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (* t_0 t_2) t_2)))
(sqrt
(-
(- 1.0 (* (- 0.5 (* 0.5 (cos (* 2.0 t_1)))) t_0))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + ((t_0 * t_2) * t_2))), sqrt(((1.0 - ((0.5 - (0.5 * cos((2.0 * t_1)))) * t_0)) - (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(Float64(t_0 * t_2) * t_2))), sqrt(Float64(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))) * t_0)) - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \left(t\_0 \cdot t\_2\right) \cdot t\_2}}{\sqrt{\left(1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) \cdot t\_0\right) - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites63.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(- (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
2.0)
(* (* t_0 t_2) t_2)))
(sqrt
(-
1.0
(fma
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), -(cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + ((t_0 * t_2) * t_2))), sqrt((1.0 - fma((0.5 - (0.5 * cos((2.0 * t_1)))), t_0, (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(-Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))))) ^ 2.0) + Float64(Float64(t_0 * t_2) * t_2))), sqrt(Float64(1.0 - fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + (-N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)\right)}^{2} + \left(t\_0 \cdot t\_2\right) \cdot t\_2}}{\sqrt{1 - \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right), t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites63.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1
(+ t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(t_2 (cos (- phi2 phi1)))
(t_3 (+ (cos (+ phi2 phi1)) t_2))
(t_4 (* t_2 0.5))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (+ t_0 (* (* (* (cos phi1) (cos phi2)) t_5) t_5)))
(t_7 (/ (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 2.0)))
(if (<= (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_6)))) 0.42)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_3 t_7 (- 0.5 t_4)))
(sqrt (+ (- 1.0 (fma t_7 t_3 0.5)) t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = t_0 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_2 = cos((phi2 - phi1));
double t_3 = cos((phi2 + phi1)) + t_2;
double t_4 = t_2 * 0.5;
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = t_0 + (((cos(phi1) * cos(phi2)) * t_5) * t_5);
double t_7 = (0.5 - (cos((lambda2 - lambda1)) * 0.5)) / 2.0;
double tmp;
if ((2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_6)))) <= 0.42) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_3, t_7, (0.5 - t_4))), sqrt(((1.0 - fma(t_7, t_3, 0.5)) + t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = Float64(t_0 + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) t_2 = cos(Float64(phi2 - phi1)) t_3 = Float64(cos(Float64(phi2 + phi1)) + t_2) t_4 = Float64(t_2 * 0.5) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(t_0 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_5) * t_5)) t_7 = Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) / 2.0) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_6)))) <= 0.42) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_3, t_7, Float64(0.5 - t_4))), sqrt(Float64(Float64(1.0 - fma(t_7, t_3, 0.5)) + t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 * 0.5), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$0 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.42], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 * t$95$7 + N[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(t$95$7 * t$95$3 + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := t\_0 + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \cos \left(\phi_2 + \phi_1\right) + t\_2\\
t_4 := t\_2 \cdot 0.5\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := t\_0 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_5\right) \cdot t\_5\\
t_7 := \frac{0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5}{2}\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}} \leq 0.42:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, t\_7, 0.5 - t\_4\right)}}{\sqrt{\left(1 - \mathsf{fma}\left(t\_7, t\_3, 0.5\right)\right) + t\_4}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.419999999999999984Initial program 62.4%
Taylor expanded in phi1 around 0
Applied rewrites53.2%
Taylor expanded in phi1 around 0
Applied rewrites51.1%
if 0.419999999999999984 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Applied rewrites58.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi1) t_0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_3
(fma
(cos phi2)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi2)) 2.0))))
(if (<= phi2 -4e-5)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi2 135000.0)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * t_0);
double t_2 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_3 = fma(cos(phi2), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi2)), 2.0));
double tmp;
if (phi2 <= -4e-5) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi2 <= 135000.0) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * t_0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = fma(cos(phi2), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi2)) ^ 2.0)) tmp = 0.0 if (phi2 <= -4e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi2 <= 135000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -4e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 135000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot t\_0\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -4 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_2 \leq 135000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if phi2 < -4.00000000000000033e-5Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi1 around 0
Applied rewrites44.8%
Taylor expanded in phi1 around 0
Applied rewrites44.0%
if -4.00000000000000033e-5 < phi2 < 135000Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites53.4%
Taylor expanded in phi2 around 0
Applied rewrites51.2%
if 135000 < phi2 Initial program 62.4%
Taylor expanded in phi1 around 0
Applied rewrites46.5%
Taylor expanded in phi1 around 0
Applied rewrites46.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(t_3
(+ t_1 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(t_4 (cos (- phi2 phi1)))
(t_5
(fma
(+ (cos (+ phi2 phi1)) t_4)
(/ (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 2.0)
(- 0.5 (* t_4 0.5)))))
(if (<= (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))) 0.42)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
double t_3 = t_1 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_4 = cos((phi2 - phi1));
double t_5 = fma((cos((phi2 + phi1)) + t_4), ((0.5 - (cos((lambda2 - lambda1)) * 0.5)) / 2.0), (0.5 - (t_4 * 0.5)));
double tmp;
if ((2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))) <= 0.42) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) t_3 = Float64(t_1 + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) t_4 = cos(Float64(phi2 - phi1)) t_5 = fma(Float64(cos(Float64(phi2 + phi1)) + t_4), Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) / 2.0), Float64(0.5 - Float64(t_4 * 0.5))) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2)))) <= 0.42) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(t$95$4 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.42], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_3 := t\_1 + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_4 := \cos \left(\phi_2 - \phi_1\right)\\
t_5 := \mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_4, \frac{0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5}{2}, 0.5 - t\_4 \cdot 0.5\right)\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.42:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.419999999999999984Initial program 62.4%
Taylor expanded in phi1 around 0
Applied rewrites53.2%
Taylor expanded in phi1 around 0
Applied rewrites51.1%
if 0.419999999999999984 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(fabs
(fma
(- 0.5 (* (cos (- lambda2 lambda1)) 0.5))
t_0
(- 0.5 (* (cos (- phi2 phi1)) 0.5)))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4
(+ t_3 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(t_5 (+ t_3 (* (* t_0 t_2) t_2))))
(if (<= (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))) 0.42)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = fabs(fma((0.5 - (cos((lambda2 - lambda1)) * 0.5)), t_0, (0.5 - (cos((phi2 - phi1)) * 0.5))));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = t_3 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_5 = t_3 + ((t_0 * t_2) * t_2);
double tmp;
if ((2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5)))) <= 0.42) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = abs(fma(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)), t_0, Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5)))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_4 = Float64(t_3 + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) t_5 = Float64(t_3 + Float64(Float64(t_0 * t_2) * t_2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5)))) <= 0.42) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Abs[N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 + N[(N[(t$95$0 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.42], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \left|\mathsf{fma}\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5, t\_0, 0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\right)\right|\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := t\_3 + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_5 := t\_3 + \left(t\_0 \cdot t\_2\right) \cdot t\_2\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}} \leq 0.42:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.419999999999999984Initial program 62.4%
Taylor expanded in phi1 around 0
Applied rewrites53.2%
Taylor expanded in phi1 around 0
Applied rewrites51.1%
if 0.419999999999999984 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 62.4%
Applied rewrites57.8%
Applied rewrites57.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (* (cos (- lambda2 lambda1)) 0.5))
(t_3
(+ t_1 (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(t_4 (* (cos phi1) (cos phi2)))
(t_5 (* (cos (- phi2 phi1)) 0.5)))
(if (<= (+ t_1 (* (* t_4 t_0) t_0)) 0.025)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(*
(atan2
(sqrt (fma (- 0.5 t_2) t_4 (- 0.5 t_5)))
(sqrt (fma (- t_2 0.5) t_4 (+ 0.5 t_5))))
(+ R R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = cos((lambda2 - lambda1)) * 0.5;
double t_3 = t_1 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_4 = cos(phi1) * cos(phi2);
double t_5 = cos((phi2 - phi1)) * 0.5;
double tmp;
if ((t_1 + ((t_4 * t_0) * t_0)) <= 0.025) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = atan2(sqrt(fma((0.5 - t_2), t_4, (0.5 - t_5))), sqrt(fma((t_2 - 0.5), t_4, (0.5 + t_5)))) * (R + R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = Float64(cos(Float64(lambda2 - lambda1)) * 0.5) t_3 = Float64(t_1 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) t_4 = Float64(cos(phi1) * cos(phi2)) t_5 = Float64(cos(Float64(phi2 - phi1)) * 0.5) tmp = 0.0 if (Float64(t_1 + Float64(Float64(t_4 * t_0) * t_0)) <= 0.025) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(atan(sqrt(fma(Float64(0.5 - t_2), t_4, Float64(0.5 - t_5))), sqrt(fma(Float64(t_2 - 0.5), t_4, Float64(0.5 + t_5)))) * Float64(R + R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]}, If[LessEqual[N[(t$95$1 + N[(N[(t$95$4 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 0.025], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$2), $MachinePrecision] * t$95$4 + N[(0.5 - t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$2 - 0.5), $MachinePrecision] * t$95$4 + N[(0.5 + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R + R), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\\
t_3 := t\_1 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_4 := \cos \phi_1 \cdot \cos \phi_2\\
t_5 := \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\\
\mathbf{if}\;t\_1 + \left(t\_4 \cdot t\_0\right) \cdot t\_0 \leq 0.025:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - t\_2, t\_4, 0.5 - t\_5\right)}}{\sqrt{\mathsf{fma}\left(t\_2 - 0.5, t\_4, 0.5 + t\_5\right)}} \cdot \left(R + R\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.025000000000000001Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites53.4%
Taylor expanded in phi2 around 0
Applied rewrites51.2%
if 0.025000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.4%
Applied rewrites57.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi2 phi1))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(fma
(+ (cos (+ phi2 phi1)) t_0)
(* (/ 1.0 2.0) (- (* (cos (- lambda2 lambda1)) 0.5) 0.5))
(+ 0.5 (* t_0 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 - phi1));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(fma((cos((phi2 + phi1)) + t_0), ((1.0 / 2.0) * ((cos((lambda2 - lambda1)) * 0.5) - 0.5)), (0.5 + (t_0 * 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 - phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(fma(Float64(cos(Float64(phi2 + phi1)) + t_0), Float64(Float64(1.0 / 2.0) * Float64(Float64(cos(Float64(lambda2 - lambda1)) * 0.5) - 0.5)), Float64(0.5 + Float64(t_0 * 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision] * N[(N[(1.0 / 2.0), $MachinePrecision] * N[(N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 - \phi_1\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_2 + \phi_1\right) + t\_0, \frac{1}{2} \cdot \left(\cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5 - 0.5\right), 0.5 + t\_0 \cdot 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- (* (cos (- lambda2 lambda1)) 0.5) 0.5))
(+ 0.5 (* (cos (- phi2 phi1)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fma(cos(phi1), (cos(phi2) * ((cos((lambda2 - lambda1)) * 0.5) - 0.5)), (0.5 + (cos((phi2 - phi1)) * 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(cos(Float64(lambda2 - lambda1)) * 0.5) - 0.5)), Float64(0.5 + Float64(cos(Float64(phi2 - phi1)) * 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5 - 0.5\right), 0.5 + \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites62.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1))))))
(t_1 (* 0.5 (- lambda1 lambda2)))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))
(t_3 (pow (sin t_1) 2.0))
(t_4 (fma (cos phi2) t_3 (pow (sin (* -0.5 phi2)) 2.0)))
(t_5 (+ t_0 (* t_2 (cos phi1)))))
(if (<= phi1 -8.2e-7)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= phi1 3.7e-34)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_3 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (fma (cos phi1) t_2 t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * phi1))));
double t_1 = 0.5 * (lambda1 - lambda2);
double t_2 = 0.5 - (0.5 * cos((2.0 * t_1)));
double t_3 = pow(sin(t_1), 2.0);
double t_4 = fma(cos(phi2), t_3, pow(sin((-0.5 * phi2)), 2.0));
double t_5 = t_0 + (t_2 * cos(phi1));
double tmp;
if (phi1 <= -8.2e-7) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (phi1 <= 3.7e-34) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_3, pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(cos(phi1), t_2, t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) t_1 = Float64(0.5 * Float64(lambda1 - lambda2)) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))) t_3 = sin(t_1) ^ 2.0 t_4 = fma(cos(phi2), t_3, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_5 = Float64(t_0 + Float64(t_2 * cos(phi1))) tmp = 0.0 if (phi1 <= -8.2e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (phi1 <= 3.7e-34) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_3, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_2, t_0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * t$95$3 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 + N[(t$95$2 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.2e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.7e-34], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$3 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\\
t_1 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\\
t_3 := {\sin t\_1}^{2}\\
t_4 := \mathsf{fma}\left(\cos \phi_2, t\_3, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_5 := t\_0 + t\_2 \cdot \cos \phi_1\\
\mathbf{if}\;\phi_1 \leq -8.2 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-34}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_3, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_2, t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -8.1999999999999998e-7Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites43.2%
Applied rewrites43.2%
if -8.1999999999999998e-7 < phi1 < 3.69999999999999988e-34Initial program 62.4%
Taylor expanded in phi1 around 0
Applied rewrites46.5%
Taylor expanded in phi1 around 0
Applied rewrites46.6%
if 3.69999999999999988e-34 < phi1 Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites47.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1
(fma
(cos phi2)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi2)) 2.0)))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi2 -7.8e-36)
t_2
(if (<= phi2 1.9e-7)
(*
R
(*
2.0
(atan2
(sqrt
(fma (cos phi1) (pow (sin t_0) 2.0) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = fma(cos(phi2), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi2)), 2.0));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi2 <= -7.8e-36) {
tmp = t_2;
} else if (phi2 <= 1.9e-7) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin(t_0), 2.0), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(cos(phi1), (0.5 - (0.5 * cos((2.0 * t_0)))), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = fma(cos(phi2), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi2)) ^ 2.0)) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi2 <= -7.8e-36) tmp = t_2; elseif (phi2 <= 1.9e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(t_0) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-36], t$95$2, If[LessEqual[phi2, 1.9e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_2, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-36}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 1.9 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin t\_0}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -7.8000000000000001e-36 or 1.90000000000000007e-7 < phi2 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi1 around 0
Applied rewrites44.8%
Taylor expanded in phi1 around 0
Applied rewrites44.0%
if -7.8000000000000001e-36 < phi2 < 1.90000000000000007e-7Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites47.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))
(t_1
(fma
(cos phi2)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi2)) 2.0)))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi2 -7.8e-36)
t_2
(if (<= phi2 1.9e-7)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))));
double t_1 = fma(cos(phi2), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi2)), 2.0));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi2 <= -7.8e-36) {
tmp = t_2;
} else if (phi2 <= 1.9e-7) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1)))))) t_1 = fma(cos(phi2), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi2)) ^ 2.0)) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi2 <= -7.8e-36) tmp = t_2; elseif (phi2 <= 1.9e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-36], t$95$2, If[LessEqual[phi2, 1.9e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_2, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-36}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 1.9 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -7.8000000000000001e-36 or 1.90000000000000007e-7 < phi2 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi1 around 0
Applied rewrites44.8%
Taylor expanded in phi1 around 0
Applied rewrites44.0%
if -7.8000000000000001e-36 < phi2 < 1.90000000000000007e-7Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites45.9%
Applied rewrites45.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(t_3
(+
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(cos phi1)))))
(if (<= phi1 -8.2e-7)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 3.8e-34)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0));
double t_3 = (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) + ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * cos(phi1));
double tmp;
if (phi1 <= -8.2e-7) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 3.8e-34) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0)) t_3 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * cos(phi1))) tmp = 0.0 if (phi1 <= -8.2e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 3.8e-34) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.2e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.8e-34], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right) \cdot \cos \phi_1\\
\mathbf{if}\;\phi_1 \leq -8.2 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.8 \cdot 10^{-34}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi1 < -8.1999999999999998e-7Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites43.2%
Applied rewrites43.2%
if -8.1999999999999998e-7 < phi1 < 3.8000000000000001e-34Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi1 around 0
Applied rewrites44.8%
Taylor expanded in phi1 around 0
Applied rewrites44.0%
if 3.8000000000000001e-34 < phi1 Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi2 around 0
Applied rewrites45.4%
Taylor expanded in phi2 around 0
Applied rewrites44.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(t_1
(-
(+ 0.5 (* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda2 lambda1))))))
(* 0.5 (cos phi2))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi2 -2.2e-5)
t_2
(if (<= phi2 2.7e-7)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0));
double t_1 = (0.5 + (cos(phi2) * (0.5 - (0.5 * cos((lambda2 - lambda1)))))) - (0.5 * cos(phi2));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi2 <= -2.2e-5) {
tmp = t_2;
} else if (phi2 <= 2.7e-7) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_1 = Float64(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda2 - lambda1)))))) - Float64(0.5 * cos(phi2))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi2 <= -2.2e-5) tmp = t_2; elseif (phi2 <= 2.7e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -2.2e-5], t$95$2, If[LessEqual[phi2, 2.7e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := \left(0.5 + \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_2 - \lambda_1\right)\right)\right) - 0.5 \cdot \cos \phi_2\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_2 \leq -2.2 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 2.7 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -2.1999999999999999e-5 or 2.70000000000000009e-7 < phi2 Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Taylor expanded in phi1 around 0
Applied rewrites43.1%
Taylor expanded in phi1 around 0
Applied rewrites42.7%
if -2.1999999999999999e-5 < phi2 < 2.70000000000000009e-7Initial program 62.4%
Applied rewrites63.3%
Applied rewrites78.7%
Applied rewrites76.1%
Applied rewrites76.1%
Taylor expanded in phi2 around 0
Applied rewrites45.4%
Taylor expanded in phi2 around 0
Applied rewrites44.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(* 2.0 (cos phi2))
(/ (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 2.0)
(- 0.5 (* (cos (- phi2 phi1)) 0.5))))
(t_1
(+
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(cos phi1))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi1 -6500000000000.0)
t_2
(if (<= phi1 3.8e-34)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((2.0 * cos(phi2)), ((0.5 - (cos((lambda2 - lambda1)) * 0.5)) / 2.0), (0.5 - (cos((phi2 - phi1)) * 0.5)));
double t_1 = (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) + ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * cos(phi1));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi1 <= -6500000000000.0) {
tmp = t_2;
} else if (phi1 <= 3.8e-34) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(2.0 * cos(phi2)), Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) / 2.0), Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5))) t_1 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) + Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * cos(phi1))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi1 <= -6500000000000.0) tmp = t_2; elseif (phi1 <= 3.8e-34) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(2.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -6500000000000.0], t$95$2, If[LessEqual[phi1, 3.8e-34], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(2 \cdot \cos \phi_2, \frac{0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5}{2}, 0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\right)\\
t_1 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right) \cdot \cos \phi_1\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_1 \leq -6500000000000:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 3.8 \cdot 10^{-34}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -6.5e12 or 3.8000000000000001e-34 < phi1 Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites43.2%
Applied rewrites43.2%
if -6.5e12 < phi1 < 3.8000000000000001e-34Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Taylor expanded in phi1 around 0
Applied rewrites48.5%
Taylor expanded in phi1 around 0
Applied rewrites46.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))
(t_1 (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))))))
(t_2
(fma
(* 2.0 (cos phi2))
(/ (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 2.0)
(- 0.5 (* (cos (- phi2 phi1)) 0.5)))))
(if (<= phi1 -6500000000000.0)
t_1
(if (<= phi1 2e-23)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))));
double t_1 = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
double t_2 = fma((2.0 * cos(phi2)), ((0.5 - (cos((lambda2 - lambda1)) * 0.5)) / 2.0), (0.5 - (cos((phi2 - phi1)) * 0.5)));
double tmp;
if (phi1 <= -6500000000000.0) {
tmp = t_1;
} else if (phi1 <= 2e-23) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1)))))) t_1 = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) t_2 = fma(Float64(2.0 * cos(phi2)), Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) / 2.0), Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5))) tmp = 0.0 if (phi1 <= -6500000000000.0) tmp = t_1; elseif (phi1 <= 2e-23) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -6500000000000.0], t$95$1, If[LessEqual[phi1, 2e-23], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)\\
t_1 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
t_2 := \mathsf{fma}\left(2 \cdot \cos \phi_2, \frac{0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5}{2}, 0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\right)\\
\mathbf{if}\;\phi_1 \leq -6500000000000:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 2 \cdot 10^{-23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -6.5e12 or 1.99999999999999992e-23 < phi1 Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Applied rewrites43.2%
Applied rewrites43.2%
if -6.5e12 < phi1 < 1.99999999999999992e-23Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Taylor expanded in phi1 around 0
Applied rewrites48.5%
Taylor expanded in phi1 around 0
Applied rewrites46.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1
(-
(+ 0.5 (* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda2 lambda1))))))
(* 0.5 (cos phi2))))
(t_2 (/ (- lambda1 lambda2) 2.0))
(t_3 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= t_2 -40000000000.0)
t_3
(if (<= t_2 0.02)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
(pow (sin t_0) 2.0)))
(sqrt (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = (0.5 + (cos(phi2) * (0.5 - (0.5 * cos((lambda2 - lambda1)))))) - (0.5 * cos(phi2));
double t_2 = (lambda1 - lambda2) / 2.0;
double t_3 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (t_2 <= -40000000000.0) {
tmp = t_3;
} else if (t_2 <= 0.02) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), pow(sin(t_0), 2.0))), sqrt((1.0 - (0.5 - (0.5 * cos((2.0 * t_0))))))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda2 - lambda1)))))) - Float64(0.5 * cos(phi2))) t_2 = Float64(Float64(lambda1 - lambda2) / 2.0) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (t_2 <= -40000000000.0) tmp = t_3; elseif (t_2 <= 0.02) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), (sin(t_0) ^ 2.0))), sqrt(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -40000000000.0], t$95$3, If[LessEqual[t$95$2, 0.02], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \left(0.5 + \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_2 - \lambda_1\right)\right)\right) - 0.5 \cdot \cos \phi_2\\
t_2 := \frac{\lambda_1 - \lambda_2}{2}\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;t\_2 \leq -40000000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;t\_2 \leq 0.02:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, {\sin t\_0}^{2}\right)}}{\sqrt{1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -4e10 or 0.0200000000000000004 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.4%
Applied rewrites57.8%
Applied rewrites58.2%
Taylor expanded in phi1 around 0
Applied rewrites43.1%
Taylor expanded in phi1 around 0
Applied rewrites42.7%
if -4e10 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 0.0200000000000000004Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in lambda2 around 0
Applied rewrites32.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma (cos phi1) t_0 (* 0.25 (pow phi1 2.0))))
(t_3 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_4 (sqrt (- 1.0 t_3))))
(if (<= phi1 -0.013)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_1)))))
(if (<= phi1 3.7e-131)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
t_4)))
(if (<= phi1 0.05)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* R (* 2.0 (atan2 (sqrt t_1) t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(cos(phi1), t_0, (0.25 * pow(phi1, 2.0)));
double t_3 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_4 = sqrt((1.0 - t_3));
double tmp;
if (phi1 <= -0.013) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_1))));
} else if (phi1 <= 3.7e-131) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), t_4));
} else if (phi1 <= 0.05) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(cos(phi1), t_0, Float64(0.25 * (phi1 ^ 2.0))) t_3 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_4 = sqrt(Float64(1.0 - t_3)) tmp = 0.0 if (phi1 <= -0.013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_1))))); elseif (phi1 <= 3.7e-131) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), t_4))); elseif (phi1 <= 0.05) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.25 * N[Power[phi1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.7e-131], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.05], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, t\_0, 0.25 \cdot {\phi_1}^{2}\right)\\
t_3 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_4 := \sqrt{1 - t\_3}\\
\mathbf{if}\;\phi_1 \leq -0.013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-131}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{t\_4}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.05:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{t\_4}\right)\\
\end{array}
\end{array}
if phi1 < -0.0129999999999999994Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites21.9%
if -0.0129999999999999994 < phi1 < 3.7000000000000002e-131Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi1 around 0
Applied rewrites27.8%
if 3.7000000000000002e-131 < phi1 < 0.050000000000000003Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Taylor expanded in phi1 around 0
Applied rewrites32.3%
Taylor expanded in phi1 around 0
Applied rewrites22.8%
if 0.050000000000000003 < phi1 Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites28.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(* 0.25 (pow phi1 2.0))))
(t_1 (* 0.5 (- phi1 phi2))))
(if (<= (/ (- lambda1 lambda2) 2.0) 1e+34)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
(pow (sin t_1) 2.0)))
(sqrt (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), (0.25 * pow(phi1, 2.0)));
double t_1 = 0.5 * (phi1 - phi2);
double tmp;
if (((lambda1 - lambda2) / 2.0) <= 1e+34) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), pow(sin(t_1), 2.0))), sqrt((1.0 - (0.5 - (0.5 * cos((2.0 * t_1))))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(0.25 * (phi1 ^ 2.0))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) tmp = 0.0 if (Float64(Float64(lambda1 - lambda2) / 2.0) <= 1e+34) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), (sin(t_1) ^ 2.0))), sqrt(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(0.25 * N[Power[phi1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision], 1e+34], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 0.25 \cdot {\phi_1}^{2}\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\frac{\lambda_1 - \lambda_2}{2} \leq 10^{+34}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, {\sin t\_1}^{2}\right)}}{\sqrt{1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 9.99999999999999946e33Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in lambda2 around 0
Applied rewrites32.0%
if 9.99999999999999946e33 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.4%
Taylor expanded in phi2 around 0
Applied rewrites47.2%
Taylor expanded in phi2 around 0
Applied rewrites47.3%
Taylor expanded in phi1 around 0
Applied rewrites32.3%
Taylor expanded in phi1 around 0
Applied rewrites22.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_3 (sqrt (- 1.0 t_2))))
(if (<= phi1 -0.013)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_1)))))
(if (<= phi1 4.5e-69)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
t_3)))
(* R (* 2.0 (atan2 (sqrt t_1) t_3)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_3 = sqrt((1.0 - t_2));
double tmp;
if (phi1 <= -0.013) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_1))));
} else if (phi1 <= 4.5e-69) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), t_3));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), t_3));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_3 = sqrt(Float64(1.0 - t_2)) tmp = 0.0 if (phi1 <= -0.013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_1))))); elseif (phi1 <= 4.5e-69) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), t_3))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), t_3))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 4.5e-69], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_3 := \sqrt{1 - t\_2}\\
\mathbf{if}\;\phi_1 \leq -0.013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 4.5 \cdot 10^{-69}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{t\_3}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{t\_3}\right)\\
\end{array}
\end{array}
if phi1 < -0.0129999999999999994Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites21.9%
if -0.0129999999999999994 < phi1 < 4.50000000000000009e-69Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi1 around 0
Applied rewrites27.8%
if 4.50000000000000009e-69 < phi1 Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites28.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(sqrt (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(t_2
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
t_1)))))
(if (<= phi1 -4.5e-17)
t_2
(if (<= phi1 4.5e-69)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
t_1)))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sqrt((1.0 - (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double t_2 = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), t_1));
double tmp;
if (phi1 <= -4.5e-17) {
tmp = t_2;
} else if (phi1 <= 4.5e-69) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), t_1));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sqrt(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), t_1))) tmp = 0.0 if (phi1 <= -4.5e-17) tmp = t_2; elseif (phi1 <= 4.5e-69) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), t_1))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -4.5e-17], t$95$2, If[LessEqual[phi1, 4.5e-69], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sqrt{1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{t\_1}\right)\\
\mathbf{if}\;\phi_1 \leq -4.5 \cdot 10^{-17}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 4.5 \cdot 10^{-69}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{t\_1}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -4.49999999999999978e-17 or 4.50000000000000009e-69 < phi1 Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites28.3%
if -4.49999999999999978e-17 < phi1 < 4.50000000000000009e-69Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi1 around 0
Applied rewrites27.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (sqrt (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))))
(t_2 (* R (* 2.0 (atan2 (sqrt (pow (sin t_0) 2.0)) t_1)))))
(if (<= phi2 -9.5e-37)
t_2
(if (<= phi2 6.1e-61)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
t_1)))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sqrt((1.0 - (0.5 - (0.5 * cos((2.0 * t_0))))));
double t_2 = R * (2.0 * atan2(sqrt(pow(sin(t_0), 2.0)), t_1));
double tmp;
if (phi2 <= -9.5e-37) {
tmp = t_2;
} else if (phi2 <= 6.1e-61) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 2.0))), t_1));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sqrt(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))) t_2 = Float64(R * Float64(2.0 * atan(sqrt((sin(t_0) ^ 2.0)), t_1))) tmp = 0.0 if (phi2 <= -9.5e-37) tmp = t_2; elseif (phi2 <= 6.1e-61) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))), t_1))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -9.5e-37], t$95$2, If[LessEqual[phi2, 6.1e-61], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sqrt{1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_0}^{2}}}{t\_1}\right)\\
\mathbf{if}\;\phi_2 \leq -9.5 \cdot 10^{-37}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 6.1 \cdot 10^{-61}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{t\_1}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -9.49999999999999927e-37 or 6.1000000000000001e-61 < phi2 Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites28.9%
if -9.49999999999999927e-37 < phi2 < 6.1000000000000001e-61Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites28.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin t_0) 2.0))
(sqrt (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
return R * (2.0 * atan2(sqrt(pow(sin(t_0), 2.0)), sqrt((1.0 - (0.5 - (0.5 * cos((2.0 * t_0))))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 * (phi1 - phi2)
code = r * (2.0d0 * atan2(sqrt((sin(t_0) ** 2.0d0)), sqrt((1.0d0 - (0.5d0 - (0.5d0 * cos((2.0d0 * t_0))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
return R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin(t_0), 2.0)), Math.sqrt((1.0 - (0.5 - (0.5 * Math.cos((2.0 * t_0))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 * (phi1 - phi2) return R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin(t_0), 2.0)), math.sqrt((1.0 - (0.5 - (0.5 * math.cos((2.0 * t_0))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(R * Float64(2.0 * atan(sqrt((sin(t_0) ^ 2.0)), sqrt(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 * (phi1 - phi2); tmp = R * (2.0 * atan2(sqrt((sin(t_0) ^ 2.0)), sqrt((1.0 - (0.5 - (0.5 * cos((2.0 * t_0)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_0}^{2}}}{\sqrt{1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites28.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos phi1))))
(t_1 (- 0.5 (* 0.5 (cos (- phi2)))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi2 -3e+14)
t_2
(if (<= phi2 2.6e-7)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos(phi1));
double t_1 = 0.5 - (0.5 * cos(-phi2));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi2 <= -3e+14) {
tmp = t_2;
} else if (phi2 <= 2.6e-7) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = 0.5d0 - (0.5d0 * cos(phi1))
t_1 = 0.5d0 - (0.5d0 * cos(-phi2))
t_2 = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
if (phi2 <= (-3d+14)) then
tmp = t_2
else if (phi2 <= 2.6d-7) then
tmp = r * (2.0d0 * atan2(sqrt(t_0), sqrt((1.0d0 - t_0))))
else
tmp = t_2
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * Math.cos(phi1));
double t_1 = 0.5 - (0.5 * Math.cos(-phi2));
double t_2 = R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
double tmp;
if (phi2 <= -3e+14) {
tmp = t_2;
} else if (phi2 <= 2.6e-7) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 - (0.5 * math.cos(phi1)) t_1 = 0.5 - (0.5 * math.cos(-phi2)) t_2 = R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1)))) tmp = 0 if phi2 <= -3e+14: tmp = t_2 elif phi2 <= 2.6e-7: tmp = R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0)))) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(phi1))) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(-phi2)))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi2 <= -3e+14) tmp = t_2; elseif (phi2 <= 2.6e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 - (0.5 * cos(phi1)); t_1 = 0.5 - (0.5 * cos(-phi2)); t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); tmp = 0.0; if (phi2 <= -3e+14) tmp = t_2; elseif (phi2 <= 2.6e-7) tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0)))); else tmp = t_2; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[(-phi2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3e+14], t$95$2, If[LessEqual[phi2, 2.6e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \phi_1\\
t_1 := 0.5 - 0.5 \cdot \cos \left(-\phi_2\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_2 \leq -3 \cdot 10^{+14}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 2.6 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -3e14 or 2.59999999999999999e-7 < phi2 Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi1 around 0
Applied rewrites17.1%
Taylor expanded in phi1 around 0
Applied rewrites17.0%
if -3e14 < phi2 < 2.59999999999999999e-7Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites17.3%
Taylor expanded in phi2 around 0
Applied rewrites17.3%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (- 0.5 (* 0.5 (cos (- phi1 phi2)))))) (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((phi1 - phi2)));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 - (0.5d0 * cos((phi1 - phi2)))
code = r * (2.0d0 * atan2(sqrt(t_0), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * Math.cos((phi1 - phi2)));
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 - (0.5 * math.cos((phi1 - phi2))) return R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2)))) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 - (0.5 * cos((phi1 - phi2))); tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi1 around 0
Applied rewrites26.0%
Taylor expanded in phi1 around 0
Applied rewrites26.0%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (- 0.5 (* 0.5 (cos phi1))))) (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos(phi1));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 - (0.5d0 * cos(phi1))
code = r * (2.0d0 * atan2(sqrt(t_0), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * Math.cos(phi1));
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 - (0.5 * math.cos(phi1)) return R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(phi1))) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 - (0.5 * cos(phi1)); tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \phi_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.4%
Taylor expanded in lambda1 around 0
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Taylor expanded in lambda2 around 0
Applied rewrites28.9%
Applied rewrites26.0%
Applied rewrites26.0%
Taylor expanded in phi2 around 0
Applied rewrites17.3%
Taylor expanded in phi2 around 0
Applied rewrites17.3%
herbie shell --seed 2025153
(FPCore (R lambda1 lambda2 phi1 phi2)
:name "Distance on a great circle"
:precision binary64
(* R (* 2.0 (atan2 (sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* (* (cos phi1) (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0))) (sin (/ (- lambda1 lambda2) 2.0))))) (sqrt (- 1.0 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* (* (cos phi1) (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0))) (sin (/ (- lambda1 lambda2) 2.0))))))))))