
(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}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* 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 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((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 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((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 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((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 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((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((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) 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 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((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[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, 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 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.3
Applied rewrites62.3%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6478.0
Applied rewrites78.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_4 (* (cos phi2) (cos phi1))))
(if (<= t_3 0.00942)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))))
(sqrt (- 1.0 t_3)))))
(*
(*
(atan2
(sqrt (fma t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))) t_2))
(sqrt (- 1.0 (fma t_4 (* t_1 t_1) t_2))))
2.0)
R))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1);
double t_4 = cos(phi2) * cos(phi1);
double tmp;
if (t_3 <= 0.00942) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)))), sqrt((1.0 - t_3))));
} else {
tmp = (atan2(sqrt(fma(t_4, (0.5 - (0.5 * cos((2.0 * t_0)))), t_2)), sqrt((1.0 - fma(t_4, (t_1 * t_1), t_2)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_4 = Float64(cos(phi2) * cos(phi1)) tmp = 0.0 if (t_3 <= 0.00942) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(Float64(atan(sqrt(fma(t_4, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_2)), sqrt(Float64(1.0 - fma(t_4, Float64(t_1 * t_1), t_2)))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.00942], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$4 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 * N[(t$95$1 * t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_4 := \cos \phi_2 \cdot \cos \phi_1\\
\mathbf{if}\;t\_3 \leq 0.00942:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_4, t\_1 \cdot t\_1, t\_2\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.00941999999999999955Initial program 67.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6470.6
Applied rewrites70.6%
if 0.00941999999999999955 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.5%
Applied rewrites60.6%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
sqr-sin-a-revN/A
lower-*.f64N/A
lift-/.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
lift-sin.f6460.6
Applied rewrites60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_4
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_2)))
(if (<= t_3 0.00942)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))))
(sqrt (- 1.0 t_3)))))
(* (* (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))) 2.0) R))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1);
double t_4 = fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_0)))), t_2);
double tmp;
if (t_3 <= 0.00942) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)))), sqrt((1.0 - t_3))));
} else {
tmp = (atan2(sqrt(t_4), sqrt((1.0 - t_4))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_4 = fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_2) tmp = 0.0 if (t_3 <= 0.00942) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(Float64(atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = 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] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$3, 0.00942], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_4 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_2\right)\\
\mathbf{if}\;t\_3 \leq 0.00942:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.00941999999999999955Initial program 67.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6470.6
Applied rewrites70.6%
if 0.00941999999999999955 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.5%
Applied rewrites60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_4
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_2)))
(if (<= t_3 0.0005)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi1))))
(sqrt (- 1.0 t_3)))))
(* (* (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))) 2.0) R))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1);
double t_4 = fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_0)))), t_2);
double tmp;
if (t_3 <= 0.0005) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi1)))), sqrt((1.0 - t_3))));
} else {
tmp = (atan2(sqrt(t_4), sqrt((1.0 - t_4))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_4 = fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_2) tmp = 0.0 if (t_3 <= 0.0005) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi1)))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(Float64(atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = 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] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0005], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_4 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_2\right)\\
\mathbf{if}\;t\_3 \leq 0.0005:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_1}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 5.0000000000000001e-4Initial program 65.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6469.2
Applied rewrites69.2%
if 5.0000000000000001e-4 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.8%
Applied rewrites60.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_2)))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.00942)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
(fma
(- (* (* phi1 phi1) 0.041666666666666664) 0.5)
(* phi1 phi1)
1.0)
(cos phi2))
t_1)
t_1)))
(sqrt
(-
1.0
(+
t_2
(* (* (* (+ 1.0 (* -0.5 (* phi1 phi1))) (cos phi2)) t_1) t_1)))))))
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))) 2.0) R))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_0)))), t_2);
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.00942) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (((fma((((phi1 * phi1) * 0.041666666666666664) - 0.5), (phi1 * phi1), 1.0) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - (t_2 + ((((1.0 + (-0.5 * (phi1 * phi1))) * cos(phi2)) * t_1) * t_1))))));
} else {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_3))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_2) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.00942) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(fma(Float64(Float64(Float64(phi1 * phi1) * 0.041666666666666664) - 0.5), Float64(phi1 * phi1), 1.0) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - Float64(t_2 + Float64(Float64(Float64(Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))) * cos(phi2)) * t_1) * t_1))))))); else tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = 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] + t$95$2), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.00942], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(N[(N[(N[(phi1 * phi1), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] - 0.5), $MachinePrecision] * N[(phi1 * phi1), $MachinePrecision] + 1.0), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[(N[(N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_2\right)\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.00942:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\mathsf{fma}\left(\left(\phi_1 \cdot \phi_1\right) \cdot 0.041666666666666664 - 0.5, \phi_1 \cdot \phi_1, 1\right) \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \left(t\_2 + \left(\left(\left(1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right)\right) \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.00941999999999999955Initial program 67.5%
Taylor expanded in phi1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6469.9
Applied rewrites69.9%
Taylor expanded in phi1 around 0
sin-+PI/2-revN/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6470.0
Applied rewrites70.0%
if 0.00941999999999999955 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.5%
Applied rewrites60.6%
Final simplification61.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_2)))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 6e-10)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
(fma
(- (* (* phi1 phi1) 0.041666666666666664) 0.5)
(* phi1 phi1)
1.0)
(cos phi2))
t_1)
t_1)))
(sqrt
(-
1.0
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0)))))))
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))) 2.0) R))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_0)))), t_2);
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 6e-10) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (((fma((((phi1 * phi1) * 0.041666666666666664) - 0.5), (phi1 * phi1), 1.0) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_3))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_2) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 6e-10) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(fma(Float64(Float64(Float64(phi1 * phi1) * 0.041666666666666664) - 0.5), Float64(phi1 * phi1), 1.0) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = 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] + t$95$2), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 6e-10], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(N[(N[(N[(phi1 * phi1), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] - 0.5), $MachinePrecision] * N[(phi1 * phi1), $MachinePrecision] + 1.0), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_2\right)\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 6 \cdot 10^{-10}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\mathsf{fma}\left(\left(\phi_1 \cdot \phi_1\right) \cdot 0.041666666666666664 - 0.5, \phi_1 \cdot \phi_1, 1\right) \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 6e-10Initial program 65.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6468.4
Applied rewrites68.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6468.4
Applied rewrites68.4%
if 6e-10 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.0%
Applied rewrites61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(if (<= (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)) 6e-10)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_1
(*
(*
(*
(fma
(- (* (* phi1 phi1) 0.041666666666666664) 0.5)
(* phi1 phi1)
1.0)
(cos phi2))
t_0)
t_0)))
(sqrt
(-
1.0
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0)))))))
(* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double tmp;
if ((t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 6e-10) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (((fma((((phi1 * phi1) * 0.041666666666666664) - 0.5), (phi1 * phi1), 1.0) * cos(phi2)) * t_0) * t_0))), sqrt((1.0 - fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - t_2))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) tmp = 0.0 if (Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 6e-10) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(Float64(Float64(fma(Float64(Float64(Float64(phi1 * phi1) * 0.041666666666666664) - 0.5), Float64(phi1 * phi1), 1.0) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(1.0 - fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 6e-10], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[(N[(N[(N[(N[(N[(phi1 * phi1), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] - 0.5), $MachinePrecision] * N[(phi1 * phi1), $MachinePrecision] + 1.0), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
\mathbf{if}\;t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0 \leq 6 \cdot 10^{-10}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \left(\left(\mathsf{fma}\left(\left(\phi_1 \cdot \phi_1\right) \cdot 0.041666666666666664 - 0.5, \phi_1 \cdot \phi_1, 1\right) \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 6e-10Initial program 65.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6468.4
Applied rewrites68.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6468.4
Applied rewrites68.4%
if 6e-10 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.0%
Applied rewrites61.0%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites61.0%
Final simplification61.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.4
Applied rewrites62.4%
Taylor expanded in lambda1 around 0
Applied rewrites62.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
t_0
(pow
(- (sin (* 0.5 phi1)) (* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow((sin((0.5 * phi1)) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (Float64(sin(Float64(0.5 * phi1)) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + 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[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\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{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.4
Applied rewrites62.4%
Taylor expanded in lambda1 around 0
Applied rewrites62.5%
Taylor expanded in phi2 around 0
lift-sin.f64N/A
lift-*.f6462.0
Applied rewrites62.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (sin (/ (- phi1 phi2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow t_2 2.0) (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
1.0
(fma
t_2
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 = sin(((phi1 - phi2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(t_2, 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma(t_2, t_2, ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * 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 = sin(Float64(Float64(phi1 - phi2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((t_2 ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(t_2, t_2, Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(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[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[t$95$2, 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[(t$95$2 * t$95$2 + 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]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{t\_2}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(t\_2, t\_2, \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)}}\right)
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites61.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
(- 1.0 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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - 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 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0d0 - 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 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_2 + (((Math.cos(phi1) * Math.cos(phi2)) * t_1) * t_1))), Math.sqrt(((1.0 - 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 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_2 + (((math.cos(phi1) * math.cos(phi2)) * t_1) * t_1))), math.sqrt(((1.0 - 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 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(Float64(1.0 - 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 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - 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[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + 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 - t$95$2), $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 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{\left(1 - t\_2\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 61.4%
Applied rewrites61.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
return (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites58.8%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites58.8%
Final simplification58.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_1
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (or (<= phi1 -220.0) (not (<= phi1 5.5e-5)))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)
(*
(*
(atan2
(sqrt
(fma
(*
(cos phi2)
(+
1.0
(* (* phi1 phi1) (- (* 0.041666666666666664 (* phi1 phi1)) 0.5))))
t_0
t_2))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_0 t_2))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_1 = fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((phi1 <= -220.0) || !(phi1 <= 5.5e-5)) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma((cos(phi2) * (1.0 + ((phi1 * phi1) * ((0.041666666666666664 * (phi1 * phi1)) - 0.5)))), t_0, t_2)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_0, t_2)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_1 = fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if ((phi1 <= -220.0) || !(phi1 <= 5.5e-5)) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(Float64(cos(phi2) * Float64(1.0 + Float64(Float64(phi1 * phi1) * Float64(Float64(0.041666666666666664 * Float64(phi1 * phi1)) - 0.5)))), t_0, t_2)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_0, t_2)))) * 2.0) * R); 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[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -220.0], N[Not[LessEqual[phi1, 5.5e-5]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[(1.0 + N[(N[(phi1 * phi1), $MachinePrecision] * N[(N[(0.041666666666666664 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -220 \lor \neg \left(\phi_1 \leq 5.5 \cdot 10^{-5}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot \left(1 + \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.041666666666666664 \cdot \left(\phi_1 \cdot \phi_1\right) - 0.5\right)\right), t\_0, t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_0, t\_2\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -220 or 5.5000000000000002e-5 < phi1 Initial program 47.2%
Applied rewrites47.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.5
Applied rewrites48.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6449.4
Applied rewrites49.4%
if -220 < phi1 < 5.5000000000000002e-5Initial program 78.4%
Applied rewrites72.7%
Taylor expanded in phi1 around 0
sin-+PI/2-revN/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6472.8
Applied rewrites72.8%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (or (<= phi1 -0.038) (not (<= phi1 2.9e-5)))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R)
(*
(*
(atan2
(sqrt (fma (cos phi2) t_1 t_2))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_1 t_2))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0));
double t_1 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((phi1 <= -0.038) || !(phi1 <= 2.9e-5)) {
tmp = (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi2), t_1, t_2)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_1, t_2)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if ((phi1 <= -0.038) || !(phi1 <= 2.9e-5)) tmp = Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_1, t_2)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_1, t_2)))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.038], N[Not[LessEqual[phi1, 2.9e-5]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.038 \lor \neg \left(\phi_1 \leq 2.9 \cdot 10^{-5}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_1, t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_1, t\_2\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -0.0379999999999999991 or 2.9e-5 < phi1 Initial program 47.0%
Applied rewrites47.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.3
Applied rewrites48.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6449.2
Applied rewrites49.2%
if -0.0379999999999999991 < phi1 < 2.9e-5Initial program 79.0%
Applied rewrites73.2%
Taylor expanded in phi1 around 0
lift-cos.f6473.2
Applied rewrites73.2%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi1 -6e-6) (not (<= phi1 3.7e-6)))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)
(*
(*
(atan2
(sqrt
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi1 <= -6e-6) || !(phi1 <= 3.7e-6)) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -6e-6) || !(phi1 <= 3.7e-6)) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -6e-6], N[Not[LessEqual[phi1, 3.7e-6]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -6 \cdot 10^{-6} \lor \neg \left(\phi_1 \leq 3.7 \cdot 10^{-6}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -6.0000000000000002e-6 or 3.7000000000000002e-6 < phi1 Initial program 47.0%
Applied rewrites47.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.3
Applied rewrites48.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6449.2
Applied rewrites49.2%
if -6.0000000000000002e-6 < phi1 < 3.7000000000000002e-6Initial program 79.0%
Applied rewrites73.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6473.2
Applied rewrites73.2%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (* (cos phi2) t_0))
(t_3 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (or (<= phi1 -0.038) (not (<= phi1 2.9e-5)))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)
(*
(*
(atan2 (sqrt (fma (cos phi1) t_2 t_3)) (sqrt (- 1.0 (fma 1.0 t_2 t_3))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = cos(phi2) * t_0;
double t_3 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if ((phi1 <= -0.038) || !(phi1 <= 2.9e-5)) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi1), t_2, t_3)), sqrt((1.0 - fma(1.0, t_2, t_3)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = Float64(cos(phi2) * t_0) t_3 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if ((phi1 <= -0.038) || !(phi1 <= 2.9e-5)) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), t_2, t_3)), sqrt(Float64(1.0 - fma(1.0, t_2, t_3)))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.038], N[Not[LessEqual[phi1, 2.9e-5]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(1.0 * t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \cos \phi_2 \cdot t\_0\\
t_3 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.038 \lor \neg \left(\phi_1 \leq 2.9 \cdot 10^{-5}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_2, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(1, t\_2, t\_3\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -0.0379999999999999991 or 2.9e-5 < phi1 Initial program 47.0%
Applied rewrites47.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.3
Applied rewrites48.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6449.2
Applied rewrites49.2%
if -0.0379999999999999991 < phi1 < 2.9e-5Initial program 79.0%
Applied rewrites73.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6436.5
Applied rewrites36.5%
Taylor expanded in lambda1 around 0
Applied rewrites73.2%
Taylor expanded in phi1 around 0
Applied rewrites73.2%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi1 -6e-6) (not (<= phi1 3.7e-6)))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi1 <= -6e-6) || !(phi1 <= 3.7e-6)) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -6e-6) || !(phi1 <= 3.7e-6)) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -6e-6], N[Not[LessEqual[phi1, 3.7e-6]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -6 \cdot 10^{-6} \lor \neg \left(\phi_1 \leq 3.7 \cdot 10^{-6}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -6.0000000000000002e-6 or 3.7000000000000002e-6 < phi1 Initial program 47.0%
Applied rewrites47.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.3
Applied rewrites48.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6449.2
Applied rewrites49.2%
if -6.0000000000000002e-6 < phi1 < 3.7000000000000002e-6Initial program 79.0%
Applied rewrites73.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6436.5
Applied rewrites36.5%
Taylor expanded in lambda1 around 0
Applied rewrites73.2%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6473.2
Applied rewrites73.2%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(if (or (<= phi2 -15500000.0) (not (<= phi2 7e-7)))
(*
(*
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_1)))
2.0)
R)
(*
(*
(atan2
(sqrt t_1)
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double tmp;
if ((phi2 <= -15500000.0) || !(phi2 <= 7e-7)) {
tmp = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) tmp = 0.0 if ((phi2 <= -15500000.0) || !(phi2 <= 7e-7)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -15500000.0], N[Not[LessEqual[phi2, 7e-7]], $MachinePrecision]], N[(N[(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 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -15500000 \lor \neg \left(\phi_2 \leq 7 \cdot 10^{-7}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi2 < -1.55e7 or 6.99999999999999968e-7 < phi2 Initial program 47.2%
Applied rewrites47.3%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6419.8
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites47.3%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6448.4
Applied rewrites48.4%
if -1.55e7 < phi2 < 6.99999999999999968e-7Initial program 75.7%
Applied rewrites70.4%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6466.6
Applied rewrites66.6%
Taylor expanded in lambda1 around 0
Applied rewrites70.4%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6470.6
Applied rewrites70.6%
Final simplification59.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi1 -2.6e-8) (not (<= phi1 5.2e-11)))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)
(*
(*
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi1 <= -2.6e-8) || !(phi1 <= 5.2e-11)) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -2.6e-8) || !(phi1 <= 5.2e-11)) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(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), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -2.6e-8], N[Not[LessEqual[phi1, 5.2e-11]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(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[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -2.6 \cdot 10^{-8} \lor \neg \left(\phi_1 \leq 5.2 \cdot 10^{-11}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\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, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -2.6000000000000001e-8 or 5.2000000000000001e-11 < phi1 Initial program 47.0%
Applied rewrites47.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.3
Applied rewrites48.3%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6449.2
Applied rewrites49.2%
if -2.6000000000000001e-8 < phi1 < 5.2000000000000001e-11Initial program 79.0%
Applied rewrites73.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6436.5
Applied rewrites36.5%
Taylor expanded in lambda1 around 0
Applied rewrites73.2%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6471.5
Applied rewrites71.5%
Final simplification59.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0));
return (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0)) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites58.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6443.0
Applied rewrites43.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6443.1
Applied rewrites43.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(* 0.25 (* phi1 phi1))))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), (0.25 * (phi1 * phi1)))), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), Float64(0.25 * Float64(phi1 * phi1)))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]
\begin{array}{l}
\\
\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
Initial program 61.4%
Applied rewrites58.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6443.0
Applied rewrites43.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lower-*.f6426.4
Applied rewrites26.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(*
(*
(atan2
(sqrt t_0)
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
return (atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R) 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]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites58.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6443.0
Applied rewrites43.0%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6424.8
Applied rewrites24.8%
Taylor expanded in phi1 around 0
lower--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-fma.f64N/A
lift-cos.f6425.1
Applied rewrites25.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(*
(*
(atan2
(sqrt t_0)
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
return (atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R) 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]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites58.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6443.0
Applied rewrites43.0%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6424.8
Applied rewrites24.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6424.9
Applied rewrites24.9%
herbie shell --seed 2025064
(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))))))))))