
(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 18 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))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(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)))
(sqrt
(+
(fma
(*
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0)
(- (cos phi2)))
(cos phi1)
0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((fma((pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0) * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((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))), sqrt(Float64(fma(Float64((Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0) * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(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]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\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}}{\sqrt{\mathsf{fma}\left({\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)
\end{array}
\end{array}
Initial program 63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6464.7
Applied rewrites64.7%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites64.8%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites64.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.2
Applied rewrites65.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* 0.5 phi1))
(cos (* -0.5 phi2))
(* (sin (* -0.5 phi2)) (cos (* -0.5 phi1))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(+
(fma (* (pow t_0 2.0) (- (cos phi2))) (cos phi1) 0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((0.5 * phi1)), cos((-0.5 * phi2)), (sin((-0.5 * phi2)) * cos((-0.5 * phi1)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((fma((pow(t_0, 2.0) * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(0.5 * phi1)), cos(Float64(-0.5 * phi2)), Float64(sin(Float64(-0.5 * phi2)) * cos(Float64(-0.5 * phi1)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(fma(Float64((t_0 ^ 2.0) * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(-0.5 * phi1), $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]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(0.5 \cdot \phi_1\right), \cos \left(-0.5 \cdot \phi_2\right), \sin \left(-0.5 \cdot \phi_2\right) \cdot \cos \left(-0.5 \cdot \phi_1\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\mathsf{fma}\left({t\_0}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)
\end{array}
\end{array}
Initial program 63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6464.7
Applied rewrites64.7%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites64.8%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites64.8%
Taylor expanded in phi1 around inf
*-commutativeN/A
fp-cancel-sub-sign-invN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
cos-neg-revN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-cos.f64N/A
lower-*.f64N/A
sin-neg-revN/A
distribute-lft-neg-inN/A
metadata-evalN/A
cos-neg-revN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
Applied rewrites64.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(if (or (<= t_0 -2e-17) (not (<= t_0 1e-21)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_1 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_1 (cos phi1)))))))
(*
(atan2
(sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0))
(sqrt
(fma
(* (pow t_0 2.0) (- (cos phi2)))
(cos phi1)
(pow (cos (/ (- phi1 phi2) 2.0)) 2.0))))
(* R 2.0)))))
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(((lambda2 - lambda1) * -0.5)), 2.0);
double tmp;
if ((t_0 <= -2e-17) || !(t_0 <= 1e-21)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_1 * cos(phi1))))));
} else {
tmp = atan2(sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0)), sqrt(fma((pow(t_0, 2.0) * -cos(phi2)), cos(phi1), pow(cos(((phi1 - phi2) / 2.0)), 2.0)))) * (R * 2.0);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 tmp = 0.0 if ((t_0 <= -2e-17) || !(t_0 <= 1e-21)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_1 * cos(phi1))))))); else tmp = Float64(atan(sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)), sqrt(fma(Float64((t_0 ^ 2.0) * Float64(-cos(phi2))), cos(phi1), (cos(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)))) * Float64(R * 2.0)); 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[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[t$95$0, -2e-17], N[Not[LessEqual[t$95$0, 1e-21]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Cos[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
\mathbf{if}\;t\_0 \leq -2 \cdot 10^{-17} \lor \neg \left(t\_0 \leq 10^{-21}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_1 \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{\mathsf{fma}\left({t\_0}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, {\cos \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot \left(R \cdot 2\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -2.00000000000000014e-17 or 9.99999999999999908e-22 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 57.9%
Taylor expanded in phi2 around 0
Applied rewrites48.3%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites33.4%
if -2.00000000000000014e-17 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 9.99999999999999908e-22Initial program 84.5%
Taylor expanded in lambda2 around 0
Applied rewrites82.7%
Taylor expanded in lambda1 around 0
Applied rewrites81.1%
Applied rewrites81.3%
Final simplification43.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (/ (- phi1 phi2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_1 t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(+
(fma (* (pow t_0 2.0) (- (cos phi2))) (cos phi1) 0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin(((phi1 - phi2) / 2.0));
return R * (2.0 * atan2(sqrt(fma(t_1, t_1, (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((fma((pow(t_0, 2.0) * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
}
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)) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, t_1, Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(fma(Float64((t_0 ^ 2.0) * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))) 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[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $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)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}{\sqrt{\mathsf{fma}\left({t\_0}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)
\end{array}
\end{array}
Initial program 63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6464.7
Applied rewrites64.7%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites64.8%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites64.8%
Applied rewrites63.7%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
1.0
(/
(fma
(+ (cos (- phi1 phi2)) (cos (+ phi2 phi1)))
(pow t_0 2.0)
(- 1.0 (cos (* 2.0 t_1))))
2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((1.0 - (fma((cos((phi1 - phi2)) + cos((phi2 + phi1))), pow(t_0, 2.0), (1.0 - cos((2.0 * t_1)))) / 2.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi2 + phi1))), (t_0 ^ 2.0), Float64(1.0 - cos(Float64(2.0 * t_1)))) / 2.0)))))) 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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Power[t$95$0, 2.0], $MachinePrecision] + N[(1.0 - N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_2 + \phi_1\right), {t\_0}^{2}, 1 - \cos \left(2 \cdot t\_1\right)\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 63.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
associate-*l/N/A
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
Applied rewrites64.0%
Final simplification64.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0))
(t_1 (sin (/ (- phi1 phi2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_1 t_1 (* (* (cos phi2) (cos phi1)) t_0)))
(sqrt
(+
(fma (* t_0 (- (cos phi2))) (cos phi1) 0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda1 - lambda2) / 2.0)), 2.0);
double t_1 = sin(((phi1 - phi2) / 2.0));
return R * (2.0 * atan2(sqrt(fma(t_1, t_1, ((cos(phi2) * cos(phi1)) * t_0))), sqrt((fma((t_0 * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0 t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, t_1, Float64(Float64(cos(phi2) * cos(phi1)) * t_0))), sqrt(Float64(fma(Float64(t_0 * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2}\\
t_1 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right)}}{\sqrt{\mathsf{fma}\left(t\_0 \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)
\end{array}
\end{array}
Initial program 63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6464.7
Applied rewrites64.7%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites64.8%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites64.8%
lift-+.f64N/A
Applied rewrites63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi1 -1.6e-5) (not (<= phi1 1.3e+35)))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
(pow (cos (* 0.5 phi2)) 2.0)
(* (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0) (cos phi2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi1 <= -1.6e-5) || !(phi1 <= 1.3e+35)) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((pow(cos((0.5 * phi2)), 2.0) - (pow(sin(((lambda2 - lambda1) * -0.5)), 2.0) * cos(phi2))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -1.6e-5) || !(phi1 <= 1.3e+35)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64((cos(Float64(0.5 * phi2)) ^ 2.0) - Float64((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0) * cos(phi2))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -1.6e-5], N[Not[LessEqual[phi1, 1.3e+35]], $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], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -1.6 \cdot 10^{-5} \lor \neg \left(\phi_1 \leq 1.3 \cdot 10^{+35}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{{\cos \left(0.5 \cdot \phi_2\right)}^{2} - {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2} \cdot \cos \phi_2}}\right)\\
\end{array}
\end{array}
if phi1 < -1.59999999999999993e-5 or 1.30000000000000003e35 < phi1 Initial program 53.9%
Taylor expanded in lambda2 around 0
Applied rewrites41.6%
Taylor expanded in lambda1 around 0
Applied rewrites29.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6430.6
Applied rewrites30.6%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6456.1
Applied rewrites56.1%
if -1.59999999999999993e-5 < phi1 < 1.30000000000000003e35Initial program 72.8%
Taylor expanded in phi1 around 0
Applied rewrites72.8%
Final simplification64.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (or (<= phi1 -0.00032) (not (<= phi1 1.3e+35)))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi2)
(* (cos phi1) (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0))
t_2))
(sqrt (- 1.0 (+ t_2 (* t_0 (cos phi2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((phi1 <= -0.00032) || !(phi1 <= 1.3e+35)) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), (cos(phi1) * pow(sin(((lambda1 - lambda2) / 2.0)), 2.0)), t_2)), sqrt((1.0 - (t_2 + (t_0 * cos(phi2)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if ((phi1 <= -0.00032) || !(phi1 <= 1.3e+35)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), Float64(cos(phi1) * (sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0)), t_2)), sqrt(Float64(1.0 - Float64(t_2 + Float64(t_0 * cos(phi2)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $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, -0.00032], N[Not[LessEqual[phi1, 1.3e+35]], $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], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\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 -0.00032 \lor \neg \left(\phi_1 \leq 1.3 \cdot 10^{+35}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, \cos \phi_1 \cdot {\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2}, t\_2\right)}}{\sqrt{1 - \left(t\_2 + t\_0 \cdot \cos \phi_2\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -3.20000000000000026e-4 or 1.30000000000000003e35 < phi1 Initial program 53.9%
Taylor expanded in lambda2 around 0
Applied rewrites41.6%
Taylor expanded in lambda1 around 0
Applied rewrites29.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6430.6
Applied rewrites30.6%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6456.1
Applied rewrites56.1%
if -3.20000000000000026e-4 < phi1 < 1.30000000000000003e35Initial program 72.8%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites72.7%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6472.7
Applied rewrites72.7%
Final simplification64.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi1 -1.6e-5) (not (<= phi1 1.3e+35)))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi2)
(* (cos phi1) (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi1 <= -1.6e-5) || !(phi1 <= 1.3e+35)) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), (cos(phi1) * pow(sin(((lambda1 - lambda2) / 2.0)), 2.0)), pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -1.6e-5) || !(phi1 <= 1.3e+35)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), Float64(cos(phi1) * (sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0)), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -1.6e-5], N[Not[LessEqual[phi1, 1.3e+35]], $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], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $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[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -1.6 \cdot 10^{-5} \lor \neg \left(\phi_1 \leq 1.3 \cdot 10^{+35}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, \cos \phi_1 \cdot {\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2}, {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -1.59999999999999993e-5 or 1.30000000000000003e35 < phi1 Initial program 53.9%
Taylor expanded in lambda2 around 0
Applied rewrites41.6%
Taylor expanded in lambda1 around 0
Applied rewrites29.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6430.6
Applied rewrites30.6%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6456.1
Applied rewrites56.1%
if -1.59999999999999993e-5 < phi1 < 1.30000000000000003e35Initial program 72.8%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites72.7%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6472.7
Applied rewrites72.7%
Final simplification64.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(if (or (<= phi2 -2.3e-7) (not (<= phi2 12800.0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(+
(fma
(* (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0) (- (cos phi2)))
(cos phi1)
0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5))))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_0
(* (cos phi2) (cos phi1))
(pow (sin (* (- phi2 phi1) -0.5)) 2.0)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double tmp;
if ((phi2 <= -2.3e-7) || !(phi2 <= 12800.0)) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt((fma((pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, (cos(phi2) * cos(phi1)), pow(sin(((phi2 - phi1) * -0.5)), 2.0))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 tmp = 0.0 if ((phi2 <= -2.3e-7) || !(phi2 <= 12800.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(fma(Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, Float64(cos(phi2) * cos(phi1)), (sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi2, -2.3e-7], N[Not[LessEqual[phi2, 12800.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -2.3 \cdot 10^{-7} \lor \neg \left(\phi_2 \leq 12800\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left({\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_2 \cdot \cos \phi_1, {\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}\right)}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)\\
\end{array}
\end{array}
if phi2 < -2.29999999999999995e-7 or 12800 < phi2 Initial program 45.2%
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-/.f6447.5
Applied rewrites47.5%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites47.6%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites47.6%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
unpow2N/A
sqr-neg-revN/A
sin-neg-revN/A
sin-neg-revN/A
distribute-lft-neg-inN/A
metadata-evalN/A
distribute-lft-neg-inN/A
metadata-evalN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6446.8
Applied rewrites46.8%
if -2.29999999999999995e-7 < phi2 < 12800Initial program 80.9%
Taylor expanded in phi2 around 0
Applied rewrites80.9%
Taylor expanded in lambda1 around inf
Applied rewrites80.9%
Final simplification64.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi1 -1.16e-16) (not (<= phi1 5.2e-21)))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(+
(fma
(* (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0) (- (cos phi2)))
(cos phi1)
0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi1 <= -1.16e-16) || !(phi1 <= 5.2e-21)) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt((fma((pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -1.16e-16) || !(phi1 <= 5.2e-21)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(fma(Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -1.16e-16], N[Not[LessEqual[phi1, 5.2e-21]], $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], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -1.16 \cdot 10^{-16} \lor \neg \left(\phi_1 \leq 5.2 \cdot 10^{-21}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left({\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)\\
\end{array}
\end{array}
if phi1 < -1.1600000000000001e-16 or 5.20000000000000035e-21 < phi1 Initial program 53.8%
Taylor expanded in lambda2 around 0
Applied rewrites41.6%
Taylor expanded in lambda1 around 0
Applied rewrites30.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6431.4
Applied rewrites31.4%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6455.6
Applied rewrites55.6%
if -1.1600000000000001e-16 < phi1 < 5.20000000000000035e-21Initial program 74.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6474.5
Applied rewrites74.5%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites74.5%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites74.6%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
unpow2N/A
sqr-neg-revN/A
sin-neg-revN/A
sin-neg-revN/A
distribute-lft-neg-inN/A
metadata-evalN/A
distribute-lft-neg-inN/A
metadata-evalN/A
unpow2N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6473.0
Applied rewrites73.0%
Final simplification63.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (or (<= phi2 -2.3e-7) (not (<= phi2 8.6e-24)))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0))
(sqrt (- 1.0 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(+
(fma
(* (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0) (- (cos phi2)))
(cos phi1)
0.5)
(* (cos (* (/ (- phi1 phi2) -2.0) 2.0)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if ((phi2 <= -2.3e-7) || !(phi2 <= 8.6e-24)) {
tmp = R * (2.0 * atan2(sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0)), sqrt((1.0 - fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((fma((pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * -cos(phi2)), cos(phi1), 0.5) + (cos((((phi1 - phi2) / -2.0) * 2.0)) * 0.5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if ((phi2 <= -2.3e-7) || !(phi2 <= 8.6e-24)) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(fma(Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(-cos(phi2))), cos(phi1), 0.5) + Float64(cos(Float64(Float64(Float64(phi1 - phi2) / -2.0) * 2.0)) * 0.5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi2, -2.3e-7], N[Not[LessEqual[phi2, 8.6e-24]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -2.3 \cdot 10^{-7} \lor \neg \left(\phi_2 \leq 8.6 \cdot 10^{-24}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left({\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, 0.5\right) + \cos \left(\frac{\phi_1 - \phi_2}{-2} \cdot 2\right) \cdot 0.5}}\right)\\
\end{array}
\end{array}
if phi2 < -2.29999999999999995e-7 or 8.6000000000000006e-24 < phi2 Initial program 46.1%
Taylor expanded in lambda2 around 0
Applied rewrites34.7%
Taylor expanded in lambda1 around 0
Applied rewrites31.9%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.7
Applied rewrites32.7%
if -2.29999999999999995e-7 < phi2 < 8.6000000000000006e-24Initial program 82.2%
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-/.f6482.2
Applied rewrites82.2%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
fp-cancel-sub-sign-invN/A
Applied rewrites82.3%
lift-fma.f64N/A
+-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
sqr-cos-aN/A
associate-+r+N/A
lower-+.f64N/A
Applied rewrites82.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6480.4
Applied rewrites80.4%
Final simplification55.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))
(if (or (<= phi2 -2.3e-7) (not (<= phi2 8.6e-24)))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0))
(sqrt (- 1.0 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if ((phi2 <= -2.3e-7) || !(phi2 <= 8.6e-24)) {
tmp = R * (2.0 * atan2(sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0)), sqrt((1.0 - fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if ((phi2 <= -2.3e-7) || !(phi2 <= 8.6e-24)) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -2.3e-7], N[Not[LessEqual[phi2, 8.6e-24]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -2.3 \cdot 10^{-7} \lor \neg \left(\phi_2 \leq 8.6 \cdot 10^{-24}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi2 < -2.29999999999999995e-7 or 8.6000000000000006e-24 < phi2 Initial program 46.1%
Taylor expanded in lambda2 around 0
Applied rewrites34.7%
Taylor expanded in lambda1 around 0
Applied rewrites31.9%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.7
Applied rewrites32.7%
if -2.29999999999999995e-7 < phi2 < 8.6000000000000006e-24Initial program 82.2%
Taylor expanded in lambda2 around 0
Applied rewrites54.6%
Taylor expanded in lambda1 around 0
Applied rewrites30.5%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6430.5
Applied rewrites30.5%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6480.3
Applied rewrites80.3%
Final simplification55.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (<= (sin (/ (- lambda1 lambda2) 2.0)) -2e-17)
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma t_1 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))))))
(*
R
(*
2.0
(atan2
t_0
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_1 (cos phi1)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if (sin(((lambda1 - lambda2) / 2.0)) <= -2e-17) {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(t_1, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * cos(phi1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if (sin(Float64(Float64(lambda1 - lambda2) / 2.0)) <= -2e-17) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma(t_1, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_1 * cos(phi1)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], -2e-17], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(t$95$1 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right) \leq -2 \cdot 10^{-17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left(t\_1, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1 \cdot \cos \phi_1\right)}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -2.00000000000000014e-17Initial program 58.2%
Taylor expanded in lambda2 around 0
Applied rewrites34.4%
Taylor expanded in lambda1 around 0
Applied rewrites17.9%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6418.1
Applied rewrites18.1%
if -2.00000000000000014e-17 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 68.1%
Taylor expanded in lambda2 around 0
Applied rewrites52.7%
Taylor expanded in lambda1 around 0
Applied rewrites42.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6441.0
Applied rewrites41.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0))
(sqrt
(fma
(* (pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0) (- (cos phi2)))
(cos phi1)
(pow (cos (/ (- phi1 phi2) 2.0)) 2.0))))
(* R 2.0)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0)), sqrt(fma((pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * -cos(phi2)), cos(phi1), pow(cos(((phi1 - phi2) / 2.0)), 2.0)))) * (R * 2.0);
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)), sqrt(fma(Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(-cos(phi2))), cos(phi1), (cos(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)))) * Float64(R * 2.0)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Cos[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{\mathsf{fma}\left({\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(-\cos \phi_2\right), \cos \phi_1, {\cos \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot \left(R \cdot 2\right)
\end{array}
Initial program 63.6%
Taylor expanded in lambda2 around 0
Applied rewrites44.4%
Taylor expanded in lambda1 around 0
Applied rewrites31.2%
Applied rewrites31.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(pow (sin (* -0.5 lambda2)) 2.0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), pow(sin((-0.5 * lambda2)), 2.0), pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), (sin(Float64(-0.5 * lambda2)) ^ 2.0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + 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}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
Initial program 63.6%
Taylor expanded in lambda2 around 0
Applied rewrites44.4%
Taylor expanded in lambda1 around 0
Applied rewrites31.2%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
metadata-evalN/A
distribute-lft-neg-inN/A
lower-sin.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower--.f6431.2
Applied rewrites31.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (or (<= phi2 -2.3e-7) (not (<= phi2 4.8e+64)))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma t_1 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))))))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma t_1 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if ((phi2 <= -2.3e-7) || !(phi2 <= 4.8e+64)) {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(t_1, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(t_1, cos(phi1), pow(sin((0.5 * phi1)), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if ((phi2 <= -2.3e-7) || !(phi2 <= 4.8e+64)) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma(t_1, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma(t_1, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi2, -2.3e-7], N[Not[LessEqual[phi2, 4.8e+64]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(t$95$1 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -2.3 \cdot 10^{-7} \lor \neg \left(\phi_2 \leq 4.8 \cdot 10^{+64}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left(t\_1, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left(t\_1, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -2.29999999999999995e-7 or 4.79999999999999999e64 < phi2 Initial program 44.7%
Taylor expanded in lambda2 around 0
Applied rewrites34.3%
Taylor expanded in lambda1 around 0
Applied rewrites31.7%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.6
Applied rewrites32.6%
if -2.29999999999999995e-7 < phi2 < 4.79999999999999999e64Initial program 78.8%
Taylor expanded in lambda2 around 0
Applied rewrites52.5%
Taylor expanded in lambda1 around 0
Applied rewrites30.9%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6431.0
Applied rewrites31.0%
Final simplification31.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* (- phi2 phi1) -0.5)) 2.0))
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin(((phi2 - phi1) * -0.5)), 2.0)), sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
Initial program 63.6%
Taylor expanded in lambda2 around 0
Applied rewrites44.4%
Taylor expanded in lambda1 around 0
Applied rewrites31.2%
Taylor expanded in phi2 around 0
lower--.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6426.4
Applied rewrites26.4%
herbie shell --seed 2024359
(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))))))))))