
(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 20 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
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (fma (cos phi1) (cos phi2) (* (sin phi1) (sin phi2)))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt(((0.5 + (0.5 * fma(cos(phi1), cos(phi2), (sin(phi1) * sin(phi2))))) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * 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))), sqrt(Float64(Float64(0.5 + Float64(0.5 * fma(cos(phi1), cos(phi2), Float64(sin(phi1) * sin(phi2))))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := 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 * N[(lambda1 + N[(-1.0 * 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]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[(N[Sin[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \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)}}{\sqrt{\left(0.5 + 0.5 \cdot \mathsf{fma}\left(\cos \phi_1, \cos \phi_2, \sin \phi_1 \cdot \sin \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)}}\right)
\end{array}
Initial program 62.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.5
Applied rewrites63.5%
Taylor expanded in lambda2 around -inf
Applied rewrites63.5%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites63.6%
lift--.f64N/A
lift-cos.f64N/A
cos-diffN/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6478.8
Applied rewrites78.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))))
(if (<= phi2 0.000108)
(*
R
(*
2.0
(atan2 t_1 (sqrt (- (+ 0.5 (* 0.5 (cos phi1))) (* (cos phi1) t_0))))))
(*
R
(*
2.0
(atan2
t_1
(sqrt (- (+ 0.5 (* 0.5 (cos phi2))) (* (cos phi2) t_0)))))))))
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 = sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0)));
double tmp;
if (phi2 <= 0.000108) {
tmp = R * (2.0 * atan2(t_1, sqrt(((0.5 + (0.5 * cos(phi1))) - (cos(phi1) * t_0)))));
} else {
tmp = R * (2.0 * atan2(t_1, sqrt(((0.5 + (0.5 * cos(phi2))) - (cos(phi2) * t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * 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))) tmp = 0.0 if (phi2 <= 0.000108) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi1))) - Float64(cos(phi1) * t_0)))))); else tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi2))) - Float64(cos(phi2) * 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[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 + N[(-1.0 * 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]], $MachinePrecision]}, If[LessEqual[phi2, 0.000108], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $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 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \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)}\\
\mathbf{if}\;\phi_2 \leq 0.000108:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_1\right) - \cos \phi_1 \cdot t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_2\right) - \cos \phi_2 \cdot t\_0}}\right)\\
\end{array}
\end{array}
if phi2 < 1.08e-4Initial program 67.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6468.2
Applied rewrites68.2%
Taylor expanded in lambda2 around -inf
Applied rewrites68.2%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites68.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6459.6
Applied rewrites59.6%
if 1.08e-4 < phi2 Initial program 47.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6449.5
Applied rewrites49.5%
Taylor expanded in lambda2 around -inf
Applied rewrites49.5%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites49.6%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6450.4
Applied rewrites50.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * 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))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := 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 * N[(lambda1 + N[(-1.0 * 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]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \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)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)}}\right)
\end{array}
Initial program 62.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.5
Applied rewrites63.5%
Taylor expanded in lambda2 around -inf
Applied rewrites63.5%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites63.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(pow
(- (* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))) (sin (* 0.5 phi2)))
2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - sin((0.5 * phi2))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * lambda2)))) ^ 2.0)), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - sin(Float64(0.5 * phi2))) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := 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 * N[(lambda1 + N[(-1.0 * 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[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \cdot \lambda_2\right)\right)}^{2}, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)}}\right)
\end{array}
Initial program 62.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.5
Applied rewrites63.5%
Taylor expanded in lambda2 around -inf
Applied rewrites63.5%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites63.6%
Taylor expanded in phi1 around 0
lift-sin.f64N/A
lift-*.f6463.0
Applied rewrites63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= phi2 0.00012)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
1.0
(fma
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) t_0)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (phi2 <= 0.00012) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * lambda2)))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (phi2 <= 0.00012) 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_1) * t_1))), sqrt(Float64(1.0 - 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))))))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 + N[(-1.0 * lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 0.00012], 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[(1.0 - 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]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + 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]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \cdot \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_2 \leq 0.00012:\\
\;\;\;\;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{1 - \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)}}\right)\\
\mathbf{else}:\\
\;\;\;\;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)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}\right)\\
\end{array}
\end{array}
if phi2 < 1.20000000000000003e-4Initial program 67.6%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-aN/A
Applied rewrites59.0%
if 1.20000000000000003e-4 < phi2 Initial program 47.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6449.5
Applied rewrites49.5%
Taylor expanded in lambda2 around -inf
Applied rewrites49.5%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6448.5
Applied rewrites48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(pow
(- (sin (* 0.5 phi1)) (* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0)), pow((sin((0.5 * phi1)) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * lambda2)))) ^ 2.0)), (Float64(sin(Float64(0.5 * phi1)) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := 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 * N[(lambda1 + N[(-1.0 * lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sin[N[(0.5 * phi1), $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[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \cdot \lambda_2\right)\right)}^{2}, {\left(\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{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)}}\right)
\end{array}
Initial program 62.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.5
Applied rewrites63.5%
Taylor expanded in lambda2 around -inf
Applied rewrites63.5%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites63.6%
Taylor expanded in phi2 around 0
lift-sin.f64N/A
lift-*.f6463.0
Applied rewrites63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0))
(t_1
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))))))
(if (<= phi2 1.05e-20)
(*
R
(*
2.0
(atan2 (sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0))) t_1)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
t_1))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0);
double t_1 = sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))));
double tmp;
if (phi2 <= 1.05e-20) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), t_1));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0))), t_1));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * lambda2)))) ^ 2.0 t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))))))) tmp = 0.0 if (phi2 <= 1.05e-20) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), t_1))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0))), t_1))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 + N[(-1.0 * lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 1.05e-20], 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], 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]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \cdot \lambda_2\right)\right)}^{2}\\
t_1 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)}\\
\mathbf{if}\;\phi_2 \leq 1.05 \cdot 10^{-20}:\\
\;\;\;\;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{else}:\\
\;\;\;\;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)\\
\end{array}
\end{array}
if phi2 < 1.0499999999999999e-20Initial program 67.5%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6468.1
Applied rewrites68.1%
Taylor expanded in lambda2 around -inf
Applied rewrites68.1%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites68.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6456.3
Applied rewrites56.3%
if 1.0499999999999999e-20 < phi2 Initial program 48.8%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6450.6
Applied rewrites50.6%
Taylor expanded in lambda2 around -inf
Applied rewrites50.6%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites50.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6448.6
Applied rewrites48.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0)))
(if (<= phi2 3.2e-57)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))))))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) t_0)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0);
double tmp;
if (phi2 <= 3.2e-57) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * lambda2)))) ^ 2.0 tmp = 0.0 if (phi2 <= 3.2e-57) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 + N[(-1.0 * lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi2, 3.2e-57], 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] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + 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]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \cdot \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq 3.2 \cdot 10^{-57}:\\
\;\;\;\;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)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;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)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}\right)\\
\end{array}
\end{array}
if phi2 < 3.2000000000000001e-57Initial program 67.0%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6467.7
Applied rewrites67.7%
Taylor expanded in lambda2 around -inf
Applied rewrites67.7%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites67.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6455.8
Applied rewrites55.8%
if 3.2000000000000001e-57 < phi2 Initial program 51.9%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6453.5
Applied rewrites53.5%
Taylor expanded in lambda2 around -inf
Applied rewrites53.5%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6448.6
Applied rewrites48.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(if (<= phi2 3.8e-5)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(pow (sin (* 0.5 (+ lambda1 (* -1.0 lambda2)))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(* (cos phi1) (* (cos phi2) t_0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(-
(+ 0.5 (* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(* 0.5 (cos phi2))))
(sqrt
(-
1.0
(fma
(* t_0 (cos phi2))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))));
double tmp;
if (phi2 <= 3.8e-5) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin((0.5 * (lambda1 + (-1.0 * lambda2)))), 2.0), pow(sin((0.5 * phi1)), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * t_0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(((0.5 + (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2)))))) - (0.5 * cos(phi2)))), sqrt((1.0 - fma((t_0 * cos(phi2)), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) tmp = 0.0 if (phi2 <= 3.8e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 + Float64(-1.0 * lambda2)))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * t_0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) - Float64(0.5 * cos(phi2)))), sqrt(Float64(1.0 - fma(Float64(t_0 * cos(phi2)), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))))))); 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 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, 3.8e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 + N[(-1.0 * lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 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]], $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 \left(\lambda_1 - \lambda_2\right)\right)\right)\\
\mathbf{if}\;\phi_2 \leq 3.8 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 + -1 \cdot \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5 \cdot \cos \phi_2}}{\sqrt{1 - \mathsf{fma}\left(t\_0 \cdot \cos \phi_2, \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}\right)\\
\end{array}
\end{array}
if phi2 < 3.8000000000000002e-5Initial program 67.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6468.2
Applied rewrites68.2%
Taylor expanded in lambda2 around -inf
Applied rewrites68.2%
Taylor expanded in lambda2 around inf
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
unpow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
Applied rewrites68.3%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6456.4
Applied rewrites56.4%
if 3.8000000000000002e-5 < phi2 Initial program 47.6%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites47.6%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6448.5
Applied rewrites48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
(- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
(* (* (cos phi2) (cos phi1)) (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))))))))
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 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - (0.5 - (0.5 * cos((2.0 * t_2))))) - ((cos(phi2) * cos(phi1)) * (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
real(8) :: t_1
real(8) :: t_2
t_0 = (lambda1 - lambda2) / 2.0d0
t_1 = sin(t_0)
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0d0 - (0.5d0 - (0.5d0 * cos((2.0d0 * t_2))))) - ((cos(phi2) * cos(phi1)) * (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 = (lambda1 - lambda2) / 2.0;
double t_1 = Math.sin(t_0);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_1) * t_1))), Math.sqrt(((1.0 - (0.5 - (0.5 * Math.cos((2.0 * t_2))))) - ((Math.cos(phi2) * Math.cos(phi1)) * (0.5 - (0.5 * Math.cos((2.0 * t_0)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (lambda1 - lambda2) / 2.0 t_1 = math.sin(t_0) t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_1) * t_1))), math.sqrt(((1.0 - (0.5 - (0.5 * math.cos((2.0 * t_2))))) - ((math.cos(phi2) * math.cos(phi1)) * (0.5 - (0.5 * math.cos((2.0 * t_0)))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))) - Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (lambda1 - lambda2) / 2.0; t_1 = sin(t_0); t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - (0.5 - (0.5 * cos((2.0 * t_2))))) - ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0))))))))); 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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $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[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{\left(1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)\right) - \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.6%
Applied rewrites62.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2
(sqrt
(-
1.0
(fma
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(cos phi2))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 t_1)))))))))
(if (<= phi2 95000000000000.0)
(* R (* 2.0 (atan2 (sqrt (fma t_0 (cos phi1) (pow (sin t_1) 2.0))) t_2)))
(*
R
(*
2.0
(atan2
(sqrt (- (+ 0.5 (* (cos phi2) t_0)) (* 0.5 (cos phi2))))
t_2))))))
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 = 0.5 * (phi1 - phi2);
double t_2 = sqrt((1.0 - fma(((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * cos(phi2)), cos(phi1), (0.5 - (0.5 * cos((2.0 * t_1)))))));
double tmp;
if (phi2 <= 95000000000000.0) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin(t_1), 2.0))), t_2));
} else {
tmp = R * (2.0 * atan2(sqrt(((0.5 + (cos(phi2) * t_0)) - (0.5 * cos(phi2)))), t_2));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = sqrt(Float64(1.0 - fma(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * cos(phi2)), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))))) tmp = 0.0 if (phi2 <= 95000000000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(t_1) ^ 2.0))), t_2))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * t_0)) - Float64(0.5 * cos(phi2)))), t_2))); 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[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 - N[(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[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 95000000000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $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 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := \sqrt{1 - \mathsf{fma}\left(\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_2, \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}\\
\mathbf{if}\;\phi_2 \leq 95000000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin t\_1}^{2}\right)}}{t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + \cos \phi_2 \cdot t\_0\right) - 0.5 \cdot \cos \phi_2}}{t\_2}\right)\\
\end{array}
\end{array}
if phi2 < 9.5e13Initial program 67.3%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites60.9%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6455.1
Applied rewrites55.1%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6458.7
Applied rewrites58.7%
if 9.5e13 < phi2 Initial program 47.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6448.2
Applied rewrites48.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(cos phi2)))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_2 (* 0.5 (- phi1 phi2))))
(if (<= phi2 0.00015)
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin t_2) 2.0)))
(sqrt (- (+ 0.5 (* 0.5 (cos phi1))) (* (cos phi1) t_1))))))
(*
R
(*
2.0
(atan2
(sqrt (- (+ 0.5 (* (cos phi2) t_1)) (* 0.5 (cos phi2))))
(sqrt
(- 1.0 (fma t_0 (cos phi1) (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * cos(phi2);
double t_1 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_2 = 0.5 * (phi1 - phi2);
double tmp;
if (phi2 <= 0.00015) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin(t_2), 2.0))), sqrt(((0.5 + (0.5 * cos(phi1))) - (cos(phi1) * t_1)))));
} else {
tmp = R * (2.0 * atan2(sqrt(((0.5 + (cos(phi2) * t_1)) - (0.5 * cos(phi2)))), sqrt((1.0 - fma(t_0, cos(phi1), (0.5 - (0.5 * cos((2.0 * t_2)))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * cos(phi2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = Float64(0.5 * Float64(phi1 - phi2)) tmp = 0.0 if (phi2 <= 0.00015) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(t_2) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi1))) - Float64(cos(phi1) * t_1)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * t_1)) - Float64(0.5 * cos(phi2)))), sqrt(Float64(1.0 - fma(t_0, cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))))))))); 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[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, 0.00015], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \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_2\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\phi_2 \leq 0.00015:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin t\_2}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_1\right) - \cos \phi_1 \cdot t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + \cos \phi_2 \cdot t\_1\right) - 0.5 \cdot \cos \phi_2}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)}}\right)\\
\end{array}
\end{array}
if phi2 < 1.49999999999999987e-4Initial program 67.6%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites61.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6452.4
Applied rewrites52.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6456.0
Applied rewrites56.0%
if 1.49999999999999987e-4 < phi2 Initial program 47.6%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites47.6%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6448.5
Applied rewrites48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(t_2 (* 0.5 (cos phi1))))
(if (<= phi1 -2.8e-26)
(*
R
(* 2.0 (atan2 (sqrt (- (+ 0.5 t_0) t_2)) (sqrt (- (+ 0.5 t_2) t_0)))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_1 (pow (sin (* 0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi2) t_1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2))));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))));
double t_2 = 0.5 * cos(phi1);
double tmp;
if (phi1 <= -2.8e-26) {
tmp = R * (2.0 * atan2(sqrt(((0.5 + t_0) - t_2)), sqrt(((0.5 + t_2) - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_1, pow(sin((0.5 * phi2)), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi2) * t_1))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) t_2 = Float64(0.5 * cos(phi1)) tmp = 0.0 if (phi1 <= -2.8e-26) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + t_0) - t_2)), sqrt(Float64(Float64(0.5 + t_2) - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_1, (sin(Float64(0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi2) * t_1))))))); 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]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.8e-26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + t$95$0), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_2 := 0.5 \cdot \cos \phi_1\\
\mathbf{if}\;\phi_1 \leq -2.8 \cdot 10^{-26}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + t\_0\right) - t\_2}}{\sqrt{\left(0.5 + t\_2\right) - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_2 \cdot t\_1\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -2.8000000000000001e-26Initial program 48.5%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites47.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6446.7
Applied rewrites46.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f6447.5
Applied rewrites47.5%
if -2.8000000000000001e-26 < phi1 Initial program 67.9%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6468.5
Applied rewrites68.5%
Taylor expanded in phi1 around 0
unpow2N/A
sqr-sin-a-revN/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f6460.7
Applied rewrites60.7%
Taylor expanded in phi1 around 0
sin-diff-revN/A
div-subN/A
unpow2N/A
unpow2N/A
Applied rewrites51.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (* 0.5 (cos (- lambda1 lambda2))))
(t_2 (- 0.5 t_1))
(t_3 (* 0.5 (cos phi1)))
(t_4 (* 0.5 (- lambda1 lambda2)))
(t_5 (* (- 0.5 (* 0.5 (cos (* 2.0 t_4)))) (cos phi2)))
(t_6 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
(t_7 (* (cos phi1) t_2))
(t_8 (sqrt (+ 0.5 t_1))))
(if (<= phi1 -0.0042)
(*
R
(* 2.0 (atan2 (sqrt (- (+ 0.5 t_7) t_3)) (sqrt (- (+ 0.5 t_3) t_7)))))
(if (<= phi1 -7.8e-139)
(*
R
(* 2.0 (atan2 (sqrt (fma t_5 (cos phi1) (pow (sin t_0) 2.0))) t_8)))
(if (<= phi1 9e-273)
(*
R
(*
2.0
(atan2
(sqrt (fma (* (pow (sin t_4) 2.0) (cos phi2)) (cos phi1) t_6))
t_8)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_2 1.0 t_6))
(sqrt (- 1.0 (fma t_5 (cos phi1) t_6)))))))))))
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((lambda1 - lambda2));
double t_2 = 0.5 - t_1;
double t_3 = 0.5 * cos(phi1);
double t_4 = 0.5 * (lambda1 - lambda2);
double t_5 = (0.5 - (0.5 * cos((2.0 * t_4)))) * cos(phi2);
double t_6 = 0.5 - (0.5 * cos((2.0 * t_0)));
double t_7 = cos(phi1) * t_2;
double t_8 = sqrt((0.5 + t_1));
double tmp;
if (phi1 <= -0.0042) {
tmp = R * (2.0 * atan2(sqrt(((0.5 + t_7) - t_3)), sqrt(((0.5 + t_3) - t_7))));
} else if (phi1 <= -7.8e-139) {
tmp = R * (2.0 * atan2(sqrt(fma(t_5, cos(phi1), pow(sin(t_0), 2.0))), t_8));
} else if (phi1 <= 9e-273) {
tmp = R * (2.0 * atan2(sqrt(fma((pow(sin(t_4), 2.0) * cos(phi2)), cos(phi1), t_6)), t_8));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_2, 1.0, t_6)), sqrt((1.0 - fma(t_5, cos(phi1), t_6)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_2 = Float64(0.5 - t_1) t_3 = Float64(0.5 * cos(phi1)) t_4 = Float64(0.5 * Float64(lambda1 - lambda2)) t_5 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_4)))) * cos(phi2)) t_6 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) t_7 = Float64(cos(phi1) * t_2) t_8 = sqrt(Float64(0.5 + t_1)) tmp = 0.0 if (phi1 <= -0.0042) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + t_7) - t_3)), sqrt(Float64(Float64(0.5 + t_3) - t_7))))); elseif (phi1 <= -7.8e-139) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_5, cos(phi1), (sin(t_0) ^ 2.0))), t_8))); elseif (phi1 <= 9e-273) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64((sin(t_4) ^ 2.0) * cos(phi2)), cos(phi1), t_6)), t_8))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_2, 1.0, t_6)), sqrt(Float64(1.0 - fma(t_5, cos(phi1), t_6)))))); 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[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$8 = N[Sqrt[N[(0.5 + t$95$1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.0042], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + t$95$7), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] - t$95$7), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, -7.8e-139], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$8], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 9e-273], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$6), $MachinePrecision]], $MachinePrecision] / t$95$8], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 * 1.0 + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$5 * N[Cos[phi1], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - t\_1\\
t_3 := 0.5 \cdot \cos \phi_1\\
t_4 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_5 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_4\right)\right) \cdot \cos \phi_2\\
t_6 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_7 := \cos \phi_1 \cdot t\_2\\
t_8 := \sqrt{0.5 + t\_1}\\
\mathbf{if}\;\phi_1 \leq -0.0042:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + t\_7\right) - t\_3}}{\sqrt{\left(0.5 + t\_3\right) - t\_7}}\right)\\
\mathbf{elif}\;\phi_1 \leq -7.8 \cdot 10^{-139}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_5, \cos \phi_1, {\sin t\_0}^{2}\right)}}{t\_8}\right)\\
\mathbf{elif}\;\phi_1 \leq 9 \cdot 10^{-273}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_4}^{2} \cdot \cos \phi_2, \cos \phi_1, t\_6\right)}}{t\_8}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, 1, t\_6\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_5, \cos \phi_1, t\_6\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.00419999999999999974Initial program 46.5%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6447.3
Applied rewrites47.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f6448.3
Applied rewrites48.3%
if -0.00419999999999999974 < phi1 < -7.8000000000000002e-139Initial program 78.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites67.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6439.5
Applied rewrites39.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6439.4
Applied rewrites39.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6447.2
Applied rewrites47.2%
if -7.8000000000000002e-139 < phi1 < 8.99999999999999921e-273Initial program 78.7%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites69.1%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6442.4
Applied rewrites42.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6442.4
Applied rewrites42.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f6448.4
Applied rewrites48.4%
if 8.99999999999999921e-273 < phi1 Initial program 62.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites57.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6448.7
Applied rewrites48.7%
Taylor expanded in phi1 around 0
sin-+PI/2-rev39.4
Applied rewrites39.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (* 0.5 (cos (- lambda1 lambda2))))
(t_2 (- 0.5 t_1))
(t_3 (* 0.5 (cos phi1)))
(t_4 (* 0.5 (- lambda1 lambda2)))
(t_5 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
(t_6 (* (cos phi1) t_2))
(t_7 (sqrt (+ 0.5 t_1))))
(if (<= phi1 -0.0042)
(*
R
(* 2.0 (atan2 (sqrt (- (+ 0.5 t_6) t_3)) (sqrt (- (+ 0.5 t_3) t_6)))))
(if (<= phi1 -7.8e-139)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (- 0.5 (* 0.5 (cos (* 2.0 t_4)))) (cos phi2))
(cos phi1)
(pow (sin t_0) 2.0)))
t_7)))
(if (<= phi1 9e-273)
(*
R
(*
2.0
(atan2
(sqrt (fma (* (pow (sin t_4) 2.0) (cos phi2)) (cos phi1) t_5))
t_7)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_2 (cos phi1) t_5))
(sqrt
(- 1.0 (- (+ 0.5 (* (cos phi2) t_2)) (* 0.5 (cos phi2)))))))))))))
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((lambda1 - lambda2));
double t_2 = 0.5 - t_1;
double t_3 = 0.5 * cos(phi1);
double t_4 = 0.5 * (lambda1 - lambda2);
double t_5 = 0.5 - (0.5 * cos((2.0 * t_0)));
double t_6 = cos(phi1) * t_2;
double t_7 = sqrt((0.5 + t_1));
double tmp;
if (phi1 <= -0.0042) {
tmp = R * (2.0 * atan2(sqrt(((0.5 + t_6) - t_3)), sqrt(((0.5 + t_3) - t_6))));
} else if (phi1 <= -7.8e-139) {
tmp = R * (2.0 * atan2(sqrt(fma(((0.5 - (0.5 * cos((2.0 * t_4)))) * cos(phi2)), cos(phi1), pow(sin(t_0), 2.0))), t_7));
} else if (phi1 <= 9e-273) {
tmp = R * (2.0 * atan2(sqrt(fma((pow(sin(t_4), 2.0) * cos(phi2)), cos(phi1), t_5)), t_7));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_2, cos(phi1), t_5)), sqrt((1.0 - ((0.5 + (cos(phi2) * t_2)) - (0.5 * cos(phi2)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_2 = Float64(0.5 - t_1) t_3 = Float64(0.5 * cos(phi1)) t_4 = Float64(0.5 * Float64(lambda1 - lambda2)) t_5 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) t_6 = Float64(cos(phi1) * t_2) t_7 = sqrt(Float64(0.5 + t_1)) tmp = 0.0 if (phi1 <= -0.0042) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + t_6) - t_3)), sqrt(Float64(Float64(0.5 + t_3) - t_6))))); elseif (phi1 <= -7.8e-139) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_4)))) * cos(phi2)), cos(phi1), (sin(t_0) ^ 2.0))), t_7))); elseif (phi1 <= 9e-273) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64((sin(t_4) ^ 2.0) * cos(phi2)), cos(phi1), t_5)), t_7))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_2, cos(phi1), t_5)), sqrt(Float64(1.0 - Float64(Float64(0.5 + Float64(cos(phi2) * t_2)) - Float64(0.5 * cos(phi2)))))))); 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[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(0.5 + t$95$1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.0042], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + t$95$6), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, -7.8e-139], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$7], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 9e-273], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / t$95$7], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 * N[Cos[phi1], $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $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)\\
t_1 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - t\_1\\
t_3 := 0.5 \cdot \cos \phi_1\\
t_4 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_5 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_6 := \cos \phi_1 \cdot t\_2\\
t_7 := \sqrt{0.5 + t\_1}\\
\mathbf{if}\;\phi_1 \leq -0.0042:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + t\_6\right) - t\_3}}{\sqrt{\left(0.5 + t\_3\right) - t\_6}}\right)\\
\mathbf{elif}\;\phi_1 \leq -7.8 \cdot 10^{-139}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_4\right)\right) \cdot \cos \phi_2, \cos \phi_1, {\sin t\_0}^{2}\right)}}{t\_7}\right)\\
\mathbf{elif}\;\phi_1 \leq 9 \cdot 10^{-273}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_4}^{2} \cdot \cos \phi_2, \cos \phi_1, t\_5\right)}}{t\_7}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, \cos \phi_1, t\_5\right)}}{\sqrt{1 - \left(\left(0.5 + \cos \phi_2 \cdot t\_2\right) - 0.5 \cdot \cos \phi_2\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.00419999999999999974Initial program 46.5%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6447.3
Applied rewrites47.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f6448.3
Applied rewrites48.3%
if -0.00419999999999999974 < phi1 < -7.8000000000000002e-139Initial program 78.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites67.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6439.5
Applied rewrites39.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6439.4
Applied rewrites39.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6447.2
Applied rewrites47.2%
if -7.8000000000000002e-139 < phi1 < 8.99999999999999921e-273Initial program 78.7%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites69.1%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6442.4
Applied rewrites42.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6442.4
Applied rewrites42.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f6448.4
Applied rewrites48.4%
if 8.99999999999999921e-273 < phi1 Initial program 62.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites57.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6448.7
Applied rewrites48.7%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6434.4
Applied rewrites34.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (* 0.5 (cos (- lambda1 lambda2))))
(t_2 (* 0.5 (cos phi1)))
(t_3 (* 0.5 (- lambda1 lambda2)))
(t_4 (* (cos phi1) (- 0.5 t_1)))
(t_5 (sqrt (+ 0.5 t_1))))
(if (<= phi1 -0.0042)
(*
R
(* 2.0 (atan2 (sqrt (- (+ 0.5 t_4) t_2)) (sqrt (- (+ 0.5 t_2) t_4)))))
(if (<= phi1 -7.8e-139)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (- 0.5 (* 0.5 (cos (* 2.0 t_3)))) (cos phi2))
(cos phi1)
(pow (sin t_0) 2.0)))
t_5)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (pow (sin t_3) 2.0) (cos phi2))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
t_5)))))))
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((lambda1 - lambda2));
double t_2 = 0.5 * cos(phi1);
double t_3 = 0.5 * (lambda1 - lambda2);
double t_4 = cos(phi1) * (0.5 - t_1);
double t_5 = sqrt((0.5 + t_1));
double tmp;
if (phi1 <= -0.0042) {
tmp = R * (2.0 * atan2(sqrt(((0.5 + t_4) - t_2)), sqrt(((0.5 + t_2) - t_4))));
} else if (phi1 <= -7.8e-139) {
tmp = R * (2.0 * atan2(sqrt(fma(((0.5 - (0.5 * cos((2.0 * t_3)))) * cos(phi2)), cos(phi1), pow(sin(t_0), 2.0))), t_5));
} else {
tmp = R * (2.0 * atan2(sqrt(fma((pow(sin(t_3), 2.0) * cos(phi2)), cos(phi1), (0.5 - (0.5 * cos((2.0 * t_0)))))), t_5));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_2 = Float64(0.5 * cos(phi1)) t_3 = Float64(0.5 * Float64(lambda1 - lambda2)) t_4 = Float64(cos(phi1) * Float64(0.5 - t_1)) t_5 = sqrt(Float64(0.5 + t_1)) tmp = 0.0 if (phi1 <= -0.0042) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + t_4) - t_2)), sqrt(Float64(Float64(0.5 + t_2) - t_4))))); elseif (phi1 <= -7.8e-139) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_3)))) * cos(phi2)), cos(phi1), (sin(t_0) ^ 2.0))), t_5))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64((sin(t_3) ^ 2.0) * cos(phi2)), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))), t_5))); 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[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(0.5 + t$95$1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.0042], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + t$95$4), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, -7.8e-139], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 \cdot \cos \phi_1\\
t_3 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_4 := \cos \phi_1 \cdot \left(0.5 - t\_1\right)\\
t_5 := \sqrt{0.5 + t\_1}\\
\mathbf{if}\;\phi_1 \leq -0.0042:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + t\_4\right) - t\_2}}{\sqrt{\left(0.5 + t\_2\right) - t\_4}}\right)\\
\mathbf{elif}\;\phi_1 \leq -7.8 \cdot 10^{-139}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right) \cdot \cos \phi_2, \cos \phi_1, {\sin t\_0}^{2}\right)}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_3}^{2} \cdot \cos \phi_2, \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}{t\_5}\right)\\
\end{array}
\end{array}
if phi1 < -0.00419999999999999974Initial program 46.5%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6447.3
Applied rewrites47.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f6448.3
Applied rewrites48.3%
if -0.00419999999999999974 < phi1 < -7.8000000000000002e-139Initial program 78.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites67.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6439.5
Applied rewrites39.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6439.4
Applied rewrites39.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6447.2
Applied rewrites47.2%
if -7.8000000000000002e-139 < phi1 Initial program 66.4%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites60.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6444.0
Applied rewrites44.0%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6433.1
Applied rewrites33.1%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f6436.2
Applied rewrites36.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (+ 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(t_1 (* 0.5 (- lambda1 lambda2)))
(t_2 (* 0.5 (- phi1 phi2))))
(if (<= phi1 -7.8e-139)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (- 0.5 (* 0.5 (cos (* 2.0 t_1)))) (cos phi2))
(cos phi1)
(pow (sin t_2) 2.0)))
t_0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (pow (sin t_1) 2.0) (cos phi2))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 t_2))))))
t_0))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt((0.5 + (0.5 * cos((lambda1 - lambda2)))));
double t_1 = 0.5 * (lambda1 - lambda2);
double t_2 = 0.5 * (phi1 - phi2);
double tmp;
if (phi1 <= -7.8e-139) {
tmp = R * (2.0 * atan2(sqrt(fma(((0.5 - (0.5 * cos((2.0 * t_1)))) * cos(phi2)), cos(phi1), pow(sin(t_2), 2.0))), t_0));
} else {
tmp = R * (2.0 * atan2(sqrt(fma((pow(sin(t_1), 2.0) * cos(phi2)), cos(phi1), (0.5 - (0.5 * cos((2.0 * t_2)))))), t_0));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2))))) t_1 = Float64(0.5 * Float64(lambda1 - lambda2)) t_2 = Float64(0.5 * Float64(phi1 - phi2)) tmp = 0.0 if (phi1 <= -7.8e-139) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))) * cos(phi2)), cos(phi1), (sin(t_2) ^ 2.0))), t_0))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(Float64((sin(t_1) ^ 2.0) * cos(phi2)), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))))), t_0))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $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[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -7.8e-139], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
t_1 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\phi_1 \leq -7.8 \cdot 10^{-139}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) \cdot \cos \phi_2, \cos \phi_1, {\sin t\_2}^{2}\right)}}{t\_0}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_1}^{2} \cdot \cos \phi_2, \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)}}{t\_0}\right)\\
\end{array}
\end{array}
if phi1 < -7.8000000000000002e-139Initial program 55.7%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites52.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6445.1
Applied rewrites45.1%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6425.7
Applied rewrites25.7%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6428.0
Applied rewrites28.0%
if -7.8000000000000002e-139 < phi1 Initial program 66.4%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites60.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6444.0
Applied rewrites44.0%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6433.1
Applied rewrites33.1%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f6436.2
Applied rewrites36.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))) (cos phi2))
(cos phi1)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (+ 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * cos(phi2)), cos(phi1), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((0.5 + (0.5 * cos((lambda1 - lambda2)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * cos(phi2)), cos(phi1), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(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[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\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_2, \cos \phi_1, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)}}\right)
\end{array}
Initial program 62.6%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites57.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6444.4
Applied rewrites44.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6430.5
Applied rewrites30.5%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
sqr-sin-a-revN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lift--.f64N/A
lift-*.f6433.1
Applied rewrites33.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))) 1.0)
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (+ 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * 1.0), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((0.5 + (0.5 * cos((lambda1 - lambda2)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * 1.0), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 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] / N[Sqrt[N[(0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right) \cdot 1, \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)}}\right)
\end{array}
Initial program 62.6%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites57.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6444.4
Applied rewrites44.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6430.5
Applied rewrites30.5%
Taylor expanded in phi2 around 0
sin-+PI/2-rev30.5
Applied rewrites30.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (- lambda1 lambda2)))))
(*
R
(*
2.0
(atan2
(sqrt (- (+ 0.5 (* (cos phi1) (- 0.5 t_0))) (* 0.5 (cos phi1))))
(sqrt (+ 0.5 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((lambda1 - lambda2));
return R * (2.0 * atan2(sqrt(((0.5 + (cos(phi1) * (0.5 - t_0))) - (0.5 * cos(phi1)))), sqrt((0.5 + 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 * cos((lambda1 - lambda2))
code = r * (2.0d0 * atan2(sqrt(((0.5d0 + (cos(phi1) * (0.5d0 - t_0))) - (0.5d0 * cos(phi1)))), sqrt((0.5d0 + t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * Math.cos((lambda1 - lambda2));
return R * (2.0 * Math.atan2(Math.sqrt(((0.5 + (Math.cos(phi1) * (0.5 - t_0))) - (0.5 * Math.cos(phi1)))), Math.sqrt((0.5 + t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 * math.cos((lambda1 - lambda2)) return R * (2.0 * math.atan2(math.sqrt(((0.5 + (math.cos(phi1) * (0.5 - t_0))) - (0.5 * math.cos(phi1)))), math.sqrt((0.5 + t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_0))) - Float64(0.5 * cos(phi1)))), sqrt(Float64(0.5 + t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 * cos((lambda1 - lambda2)); tmp = R * (2.0 * atan2(sqrt(((0.5 + (cos(phi1) * (0.5 - t_0))) - (0.5 * cos(phi1)))), sqrt((0.5 + t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + \cos \phi_1 \cdot \left(0.5 - t\_0\right)\right) - 0.5 \cdot \cos \phi_1}}{\sqrt{0.5 + t\_0}}\right)
\end{array}
\end{array}
Initial program 62.6%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites57.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f6444.4
Applied rewrites44.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f6430.5
Applied rewrites30.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-*.f64N/A
lift-cos.f6429.4
Applied rewrites29.4%
herbie shell --seed 2025115
(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))))))))))