
(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 35 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 (* (cos phi1) (cos phi2)))
(t_1 (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)
(* (* t_0 t_1) t_1)))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(*
(/ (+ (- t_0 (* (sin phi1) (sin phi2))) (cos (- phi1 phi2))) 2.0)
t_1)
t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 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) + ((t_0 * t_1) * t_1))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((((t_0 - (sin(phi1) * sin(phi2))) + cos((phi1 - phi2))) / 2.0) * t_1) * 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 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + ((t_0 * t_1) * t_1))), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((((t_0 - (sin(phi1) * sin(phi2))) + cos((phi1 - phi2))) / 2.0d0) * t_1) * t_1))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0) + ((t_0 * t_1) * t_1))), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((((t_0 - (Math.sin(phi1) * Math.sin(phi2))) + Math.cos((phi1 - phi2))) / 2.0) * t_1) * t_1))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) + ((t_0 * t_1) * t_1))), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((((t_0 - (math.sin(phi1) * math.sin(phi2))) + math.cos((phi1 - phi2))) / 2.0) * t_1) * t_1))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = 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(t_0 * t_1) * t_1))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(Float64(t_0 - Float64(sin(phi1) * sin(phi2))) + cos(Float64(phi1 - phi2))) / 2.0) * t_1) * t_1))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + ((t_0 * t_1) * t_1))), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((((t_0 - (sin(phi1) * sin(phi2))) + cos((phi1 - phi2))) / 2.0) * t_1) * t_1)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[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[(t$95$0 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[(t$95$0 - N[(N[Sin[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \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(t\_0 \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\left(t\_0 - \sin \phi_1 \cdot \sin \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_1\right) \cdot t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
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-/.f6459.1
Applied rewrites59.1%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift--.f6459.5
Applied rewrites59.5%
lift-+.f64N/A
lift-cos.f64N/A
cos-sumN/A
lower--.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6460.0
Applied rewrites60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (sin t_0))
(t_3 (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(t_4 (sqrt t_3))
(t_5 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(if (<= (* 2.0 (atan2 t_4 (sqrt (- 1.0 t_3)))) 0.24)
(*
R
(*
2.0
(atan2
t_4
(sqrt
(-
1.0
(+
t_1
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))))))))
(*
(*
(atan2
(sqrt
(fma (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_5 t_1))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_5 t_1))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = sin(t_0);
double t_3 = t_1 + (((cos(phi1) * cos(phi2)) * t_2) * t_2);
double t_4 = sqrt(t_3);
double t_5 = 0.5 - (0.5 * cos((2.0 * t_0)));
double tmp;
if ((2.0 * atan2(t_4, sqrt((1.0 - t_3)))) <= 0.24) {
tmp = R * (2.0 * atan2(t_4, sqrt((1.0 - (t_1 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)))))));
} else {
tmp = (atan2(sqrt(fma(((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0), t_5, t_1)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_5, t_1)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = sin(t_0) t_3 = Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2)) t_4 = sqrt(t_3) t_5 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) tmp = 0.0 if (Float64(2.0 * atan(t_4, sqrt(Float64(1.0 - t_3)))) <= 0.24) tmp = Float64(R * Float64(2.0 * atan(t_4, sqrt(Float64(1.0 - Float64(t_1 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)))))))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), t_5, t_1)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_5, t_1)))) * 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[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[t$95$3], $MachinePrecision]}, Block[{t$95$5 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.24], N[(R * N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$5 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$5 + t$95$1), $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 \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \sin t\_0\\
t_3 := t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
t_4 := \sqrt{t\_3}\\
t_5 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{1 - t\_3}} \leq 0.24:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{1 - \left(t\_1 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, t\_5, t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_5, t\_1\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.23999999999999999Initial program 85.1%
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.f6485.1
Applied rewrites85.1%
if 0.23999999999999999 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 55.0%
Applied rewrites55.0%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6456.0
Applied rewrites56.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
(t_2 (sin t_0))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4 (+ t_3 (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(t_5 (sqrt (- 1.0 t_4))))
(if (<= (* 2.0 (atan2 (sqrt t_4) t_5)) 0.24)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_3 (* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))))
t_5)))
(*
(*
(atan2
(sqrt
(fma (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_1 t_3))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_1 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 = 0.5 - (0.5 * cos((2.0 * t_0)));
double t_2 = sin(t_0);
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = t_3 + (((cos(phi1) * cos(phi2)) * t_2) * t_2);
double t_5 = sqrt((1.0 - t_4));
double tmp;
if ((2.0 * atan2(sqrt(t_4), t_5)) <= 0.24) {
tmp = R * (2.0 * atan2(sqrt((t_3 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)))), t_5));
} else {
tmp = (atan2(sqrt(fma(((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0), t_1, t_3)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_1, t_3)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) t_2 = sin(t_0) t_3 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_4 = Float64(t_3 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2)) t_5 = sqrt(Float64(1.0 - t_4)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_4), t_5)) <= 0.24) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)))), t_5))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), t_1, t_3)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_1, 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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision], 0.24], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1 + t$95$3), $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 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_2 := \sin t\_0\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := t\_3 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
t_5 := \sqrt{1 - t\_4}\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{t\_5} \leq 0.24:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, t\_1, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_1, t\_3\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.23999999999999999Initial program 85.1%
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.f6485.1
Applied rewrites85.1%
if 0.23999999999999999 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 55.0%
Applied rewrites55.0%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6456.0
Applied rewrites56.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
(t_2 (sin t_0))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4 (+ t_3 (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(t_5 (sqrt (- 1.0 t_4))))
(if (<= (* 2.0 (atan2 (sqrt t_4) t_5)) 0.18)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_3 (* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi1))))
t_5)))
(*
(*
(atan2
(sqrt
(fma (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_1 t_3))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_1 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 = 0.5 - (0.5 * cos((2.0 * t_0)));
double t_2 = sin(t_0);
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = t_3 + (((cos(phi1) * cos(phi2)) * t_2) * t_2);
double t_5 = sqrt((1.0 - t_4));
double tmp;
if ((2.0 * atan2(sqrt(t_4), t_5)) <= 0.18) {
tmp = R * (2.0 * atan2(sqrt((t_3 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi1)))), t_5));
} else {
tmp = (atan2(sqrt(fma(((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0), t_1, t_3)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_1, t_3)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) t_2 = sin(t_0) t_3 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_4 = Float64(t_3 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2)) t_5 = sqrt(Float64(1.0 - t_4)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_4), t_5)) <= 0.18) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi1)))), t_5))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), t_1, t_3)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_1, 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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision], 0.18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1 + t$95$3), $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 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_2 := \sin t\_0\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := t\_3 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
t_5 := \sqrt{1 - t\_4}\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{t\_5} \leq 0.18:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_1}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, t\_1, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_1, t\_3\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.17999999999999999Initial program 91.2%
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.f6491.4
Applied rewrites91.4%
if 0.17999999999999999 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 54.9%
Applied rewrites54.9%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6455.8
Applied rewrites55.8%
(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 (sqrt t_3))
(t_5 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(if (<= (* 2.0 (atan2 t_4 (sqrt (- 1.0 t_3)))) 0.05)
(*
R
(*
2.0
(atan2
t_4
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))))))
(*
(*
(atan2
(sqrt
(fma (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_5 t_2))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_5 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 = sqrt(t_3);
double t_5 = 0.5 - (0.5 * cos((2.0 * t_0)));
double tmp;
if ((2.0 * atan2(t_4, sqrt((1.0 - t_3)))) <= 0.05) {
tmp = R * (2.0 * atan2(t_4, sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = (atan2(sqrt(fma(((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0), t_5, t_2)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_5, 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 = sqrt(t_3) t_5 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) tmp = 0.0 if (Float64(2.0 * atan(t_4, sqrt(Float64(1.0 - t_3)))) <= 0.05) tmp = Float64(R * Float64(2.0 * atan(t_4, sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), t_5, t_2)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_5, 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[Sqrt[t$95$3], $MachinePrecision]}, Block[{t$95$5 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.05], N[(R * N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - 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]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$5 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$5 + 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 := \sqrt{t\_3}\\
t_5 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{1 - t\_3}} \leq 0.05:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{1 - \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)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, t\_5, t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_5, t\_2\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 0.050000000000000003Initial program 99.8%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6499.8
Applied rewrites99.8%
if 0.050000000000000003 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 55.5%
Applied rewrites55.4%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6456.3
Applied rewrites56.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4 (+ t_3 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_5 (sqrt t_4)))
(if (<= (* 2.0 (atan2 t_5 (sqrt (- 1.0 t_4)))) 1e-43)
(*
R
(*
2.0
(atan2
t_5
(sqrt
(-
1.0
(*
(sin (* 0.5 (PI)))
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))
(*
(*
(atan2
(sqrt
(fma (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_2 t_3))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_2 t_3))))
2.0)
R))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := t\_3 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_5 := \sqrt{t\_4}\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - t\_4}} \leq 10^{-43}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \sin \left(0.5 \cdot \mathsf{PI}\left(\right)\right) \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, t\_2, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_2, t\_3\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 1.00000000000000008e-43Initial program 99.8%
lift-cos.f64N/A
cos-neg-revN/A
sin-+PI/2-revN/A
lower-sin.f64N/A
mul-1-negN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-PI.f6499.8
Applied rewrites99.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6499.8
Applied rewrites99.8%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6499.8
Applied rewrites99.8%
if 1.00000000000000008e-43 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 56.2%
Applied rewrites56.1%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6457.0
Applied rewrites57.0%
Final simplification58.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) 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
0.5
(*
t_0
(-
(+ (cos (- phi1 phi2)) (* (cos phi1) (cos phi2)))
(* (sin phi1) (sin phi2))))
(pow (sin (* 0.5 (- phi1 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);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * 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(0.5, (t_0 * ((cos((phi1 - phi2)) + (cos(phi1) * cos(phi2))) - (sin(phi1) * sin(phi2)))), pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * 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(0.5, Float64(t_0 * Float64(Float64(cos(Float64(phi1 - phi2)) + Float64(cos(phi1) * cos(phi2))) - Float64(sin(phi1) * sin(phi2)))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) 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]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(0.5 * N[(t$95$0 * N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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}
\\
\begin{array}{l}
t_0 := {\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, \cos \phi_2 \cdot 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(0.5, t\_0 \cdot \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \phi_1 \cdot \cos \phi_2\right) - \sin \phi_1 \cdot \sin \phi_2\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
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-/.f6459.1
Applied rewrites59.1%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift--.f6459.5
Applied rewrites59.5%
lift-+.f64N/A
lift-cos.f64N/A
cos-sumN/A
lower--.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6460.0
Applied rewrites60.0%
Taylor expanded in lambda1 around 0
Applied rewrites60.0%
Final simplification60.0%
(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
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0)))
(t_4
(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)) 0.0006)
(* R (* 2.0 (atan2 (sqrt t_3) (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 = fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0));
double t_4 = 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)) <= 0.0006) {
tmp = R * (2.0 * atan2(sqrt(t_3), 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 = fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0)) 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 (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.0006) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), 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[(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]}, 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[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], 0.0006], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(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 := \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)\\
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\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.0006:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\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))))) < 5.99999999999999947e-4Initial program 54.0%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6437.8
Applied rewrites37.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.8
Applied rewrites35.8%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6436.1
Applied rewrites36.1%
Taylor expanded in phi1 around 0
cos-neg-revN/A
sin-+PI/2-revN/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
Applied rewrites59.9%
if 5.99999999999999947e-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 58.1%
Applied rewrites58.1%
Final simplification58.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 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 (<=
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))
0.0006)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* (* (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 = fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 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 ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 0.0006) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} 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 = fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 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((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 0.0006) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); 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[(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]}, 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[(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], 0.0006], 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[(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 := \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)\\
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}\;{\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 \leq 0.0006:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\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))))) < 5.99999999999999947e-4Initial program 54.0%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6437.8
Applied rewrites37.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.8
Applied rewrites35.8%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6436.1
Applied rewrites36.1%
Taylor expanded in phi1 around 0
cos-neg-revN/A
sin-+PI/2-revN/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
Applied rewrites59.9%
if 5.99999999999999947e-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 58.1%
Applied rewrites58.1%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites58.0%
Final simplification58.2%
(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
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_0)
t_0)))))))))
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((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((((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))), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0d0) * t_0) * t_0))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt((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))), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((((Math.cos((phi1 + phi2)) + Math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((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))), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((((math.cos((phi1 + phi2)) + math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))))))
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(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_0) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((((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((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0)))))); 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[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\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{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_0\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
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-/.f6459.1
Applied rewrites59.1%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift--.f6459.5
Applied rewrites59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) 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
0.5
(* t_0 (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))))
(pow (sin (* 0.5 (- phi1 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);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * 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(0.5, (t_0 * (cos((phi1 + phi2)) + cos((phi1 - phi2)))), pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * 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(0.5, Float64(t_0 * Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2)))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) 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]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(0.5 * N[(t$95$0 * N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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}
\\
\begin{array}{l}
t_0 := {\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, \cos \phi_2 \cdot 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(0.5, t\_0 \cdot \left(\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
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-/.f6459.1
Applied rewrites59.1%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift--.f6459.5
Applied rewrites59.5%
Taylor expanded in lambda1 around 0
Applied rewrites59.5%
(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
(-
(* (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 57.7%
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-/.f6459.1
Applied rewrites59.1%
Taylor expanded in lambda1 around 0
Applied rewrites59.1%
(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)))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_1
(* (* (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_0) t_0)))
(sqrt (- 1.0 (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_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(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_1 + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0) * t_0) * t_0))), sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_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
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_1 + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0d0) * t_0) * t_0))), sqrt((1.0d0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))))
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);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + ((((Math.cos((phi2 + phi1)) + Math.cos((phi2 - phi1))) / 2.0) * t_0) * t_0))), Math.sqrt((1.0 - (t_1 + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))))));
}
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) return R * (2.0 * math.atan2(math.sqrt((t_1 + ((((math.cos((phi2 + phi1)) + math.cos((phi2 - phi1))) / 2.0) * t_0) * t_0))), math.sqrt((1.0 - (t_1 + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))))))
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 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(Float64(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0) * t_0) * t_0))), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))) 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; tmp = R * (2.0 * atan2(sqrt((t_1 + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0) * t_0) * t_0))), sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_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[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$1 + N[(N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - 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]), $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}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2} \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - \left(t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6458.6
Applied rewrites58.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) t_1))
(sqrt (- 1.0 (+ (- 0.5 (* 0.5 (cos (* 2.0 t_2)))) 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 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + t_1)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + 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
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + t_1)), sqrt((1.0d0 - ((0.5d0 - (0.5d0 * cos((2.0d0 * t_2)))) + 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.cos(phi1) * Math.cos(phi2)) * t_0) * t_0;
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + t_1)), Math.sqrt((1.0 - ((0.5 - (0.5 * Math.cos((2.0 * t_2)))) + t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = ((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0 t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + t_1)), math.sqrt((1.0 - ((0.5 - (0.5 * math.cos((2.0 * t_2)))) + t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) + t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0; t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + t_1)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + 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[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $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 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_1}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
lift-pow.f64N/A
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
unpow2N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lift-/.f64N/A
lift--.f6457.7
Applied rewrites57.7%
(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 57.7%
Applied rewrites57.7%
(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)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_2))))))))
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 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_0)))), t_2)))));
}
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(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_2)))))) 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[(1.0 - 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]), $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{1 - \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)}}\right)
\end{array}
\end{array}
Initial program 57.7%
Applied rewrites57.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0))))
(if (or (<= phi1 -0.039) (not (<= phi1 9.2e-7)))
(*
(*
(atan2
(sqrt (fma (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))) t_0))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
t_0))))
2.0)
R)
(* 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 * phi1)), 2.0);
double t_1 = fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0));
double tmp;
if ((phi1 <= -0.039) || !(phi1 <= 9.2e-7)) {
tmp = (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), t_0)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), t_0)))) * 2.0) * R;
} 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 * phi1)) ^ 2.0 t_1 = fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0)) tmp = 0.0 if ((phi1 <= -0.039) || !(phi1 <= 9.2e-7)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), t_0)), 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))))), t_0)))) * 2.0) * R); 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 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = 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]}, If[Or[LessEqual[phi1, -0.039], N[Not[LessEqual[phi1, 9.2e-7]], $MachinePrecision]], 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] + t$95$0), $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] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $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 \phi_1\right)}^{2}\\
t_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)\\
\mathbf{if}\;\phi_1 \leq -0.039 \lor \neg \left(\phi_1 \leq 9.2 \cdot 10^{-7}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), t\_0\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), t\_0\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0389999999999999999 or 9.1999999999999998e-7 < phi1 Initial program 43.6%
Applied rewrites43.6%
Taylor expanded in phi1 around inf
lower-*.f6443.3
Applied rewrites43.3%
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
lift-sin.f64N/A
lift-*.f6444.9
Applied rewrites44.9%
if -0.0389999999999999999 < phi1 < 9.1999999999999998e-7Initial program 73.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6448.6
Applied rewrites48.6%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6427.0
Applied rewrites27.0%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6427.0
Applied rewrites27.0%
Taylor expanded in phi1 around 0
cos-neg-revN/A
sin-+PI/2-revN/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
Applied rewrites73.0%
Final simplification58.1%
(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)))
(if (or (<= t_0 -2e-13) (not (<= t_0 1e+15)))
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_2))))
2.0)
R)
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
t_2
(* (* (* (sin (+ phi1 (/ (PI) 2.0))) (cos phi2)) t_1) t_1))))))))))\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}\\
\mathbf{if}\;t\_0 \leq -2 \cdot 10^{-13} \lor \neg \left(t\_0 \leq 10^{+15}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\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)}}{\sqrt{1 - \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)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_2 + \left(\left(\sin \left(\phi_1 + \frac{\mathsf{PI}\left(\right)}{2}\right) \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\right)}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -2.0000000000000001e-13 or 1e15 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 53.0%
Applied rewrites52.9%
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-*.f6442.4
Applied rewrites42.4%
if -2.0000000000000001e-13 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 1e15Initial program 71.5%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6462.6
Applied rewrites62.6%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6459.9
Applied rewrites59.9%
lift-cos.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lift-PI.f6460.2
Applied rewrites60.2%
Final simplification46.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_3 (pow (sin (* 0.5 phi1)) 2.0)))
(if (or (<= phi1 -80000.0) (not (<= phi1 0.0037)))
(*
(*
(atan2
(sqrt (fma (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))) t_3))
(sqrt (- 1.0 (fma t_1 t_2 t_3))))
2.0)
R)
(*
(*
(atan2 (sqrt (fma (cos phi2) t_2 t_0)) (sqrt (- 1.0 (fma t_1 t_2 t_0))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = cos(phi2) * cos(phi1);
double t_2 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_3 = pow(sin((0.5 * phi1)), 2.0);
double tmp;
if ((phi1 <= -80000.0) || !(phi1 <= 0.0037)) {
tmp = (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), t_3)), sqrt((1.0 - fma(t_1, t_2, t_3)))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi2), t_2, t_0)), sqrt((1.0 - fma(t_1, t_2, t_0)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_3 = sin(Float64(0.5 * phi1)) ^ 2.0 tmp = 0.0 if ((phi1 <= -80000.0) || !(phi1 <= 0.0037)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), t_3)), sqrt(Float64(1.0 - fma(t_1, t_2, t_3)))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_2, t_0)), sqrt(Float64(1.0 - fma(t_1, t_2, t_0)))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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$3 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -80000.0], N[Not[LessEqual[phi1, 0.0037]], $MachinePrecision]], 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] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 * t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 * t$95$2 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -80000 \lor \neg \left(\phi_1 \leq 0.0037\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_1, t\_2, t\_3\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_2, t\_0\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_1, t\_2, t\_0\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -8e4 or 0.0037000000000000002 < phi1 Initial program 43.4%
Applied rewrites43.4%
Taylor expanded in phi1 around inf
lower-*.f6443.6
Applied rewrites43.6%
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
lift-sin.f64N/A
lift-*.f6445.3
Applied rewrites45.3%
if -8e4 < phi1 < 0.0037000000000000002Initial program 73.4%
Applied rewrites68.8%
Taylor expanded in phi1 around 0
lift-cos.f6468.7
Applied rewrites68.7%
Final simplification56.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (pow (sin (* 0.5 phi1)) 2.0))
(t_2 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (or (<= t_0 -1e-7) (not (<= t_0 40000000.0)))
(*
(*
(atan2
(sqrt (fma (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))) t_1))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0))))
t_1))))
2.0)
R)
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = pow(sin((0.5 * phi1)), 2.0);
double t_2 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if ((t_0 <= -1e-7) || !(t_0 <= 40000000.0)) {
tmp = (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), t_1)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_0)))), t_1)))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), t_2)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(Float64(0.5 * phi1)) ^ 2.0 t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if ((t_0 <= -1e-7) || !(t_0 <= 40000000.0)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), t_1)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))), t_1)))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_2)))))); 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[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[t$95$0, -1e-7], N[Not[LessEqual[t$95$0, 40000000.0]], $MachinePrecision]], 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] + t$95$1), $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 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_2 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;t\_0 \leq -1 \cdot 10^{-7} \lor \neg \left(t\_0 \leq 40000000\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right), t\_1\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_2\right)}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -9.9999999999999995e-8 or 4e7 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 53.2%
Applied rewrites53.1%
Taylor expanded in phi1 around inf
lower-*.f6440.8
Applied rewrites40.8%
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
lift-sin.f64N/A
lift-*.f6441.8
Applied rewrites41.8%
if -9.9999999999999995e-8 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 4e7Initial program 71.5%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6463.5
Applied rewrites63.5%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6462.0
Applied rewrites62.0%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6462.0
Applied rewrites62.0%
Final simplification46.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_3 (pow (sin (* 0.5 phi1)) 2.0)))
(if (or (<= phi1 -0.039) (not (<= phi1 4.6e-5)))
(*
(*
(atan2 (sqrt (fma (cos phi1) t_1 t_3)) (sqrt (- 1.0 (fma t_0 t_2 t_3))))
2.0)
R)
(*
(*
(atan2
(sqrt (fma t_0 t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_1 (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 = cos(phi2) * cos(phi1);
double t_1 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_2 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_3 = pow(sin((0.5 * phi1)), 2.0);
double tmp;
if ((phi1 <= -0.039) || !(phi1 <= 4.6e-5)) {
tmp = (atan2(sqrt(fma(cos(phi1), t_1, t_3)), sqrt((1.0 - fma(t_0, t_2, t_3)))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(t_0, t_2, pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_3 = sin(Float64(0.5 * phi1)) ^ 2.0 tmp = 0.0 if ((phi1 <= -0.039) || !(phi1 <= 4.6e-5)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), t_1, t_3)), sqrt(Float64(1.0 - fma(t_0, t_2, t_3)))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(t_0, t_2, (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_1, (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[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.039], N[Not[LessEqual[phi1, 4.6e-5]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$2 + 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$1 + 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 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.039 \lor \neg \left(\phi_1 \leq 4.6 \cdot 10^{-5}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, t\_2, t\_3\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_2, {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -0.0389999999999999999 or 4.6e-5 < phi1 Initial program 43.6%
Applied rewrites43.6%
Taylor expanded in phi1 around inf
lower-*.f6443.3
Applied rewrites43.3%
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
lift-sin.f64N/A
lift-*.f6444.9
Applied rewrites44.9%
if -0.0389999999999999999 < phi1 < 4.6e-5Initial program 73.7%
Applied rewrites69.0%
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-*.f6469.0
Applied rewrites69.0%
Final simplification56.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_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)))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(if (or (<= phi2 -6.2e+24) (not (<= phi2 0.00011)))
(*
(*
(atan2
(sqrt (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_0)))
2.0)
R)
(*
(*
(atan2
(sqrt t_0)
(sqrt (- 1.0 (fma (cos phi1) t_1 (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 = fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0));
double t_1 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double tmp;
if ((phi2 <= -6.2e+24) || !(phi2 <= 0.00011)) {
tmp = (atan2(sqrt(fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_0))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), t_1, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_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)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) tmp = 0.0 if ((phi2 <= -6.2e+24) || !(phi2 <= 0.00011)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_0))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), t_1, (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[(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]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -6.2e+24], N[Not[LessEqual[phi2, 0.00011]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + 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 := \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)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq -6.2 \cdot 10^{+24} \lor \neg \left(\phi_2 \leq 0.00011\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi2 < -6.20000000000000022e24 or 1.10000000000000004e-4 < phi2 Initial program 43.7%
Applied rewrites43.7%
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-*.f6444.9
Applied rewrites44.9%
if -6.20000000000000022e24 < phi2 < 1.10000000000000004e-4Initial program 74.0%
Applied rewrites69.3%
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-*.f6469.3
Applied rewrites69.3%
Final simplification56.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_3 (pow (sin (* 0.5 phi1)) 2.0)))
(if (or (<= phi1 -0.039) (not (<= phi1 9.2e-7)))
(*
(*
(atan2 (sqrt (fma (cos phi1) t_1 t_3)) (sqrt (- 1.0 (fma t_0 t_2 t_3))))
2.0)
R)
(*
(*
(atan2
(sqrt (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 (fma t_0 t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_2 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_3 = pow(sin((0.5 * phi1)), 2.0);
double tmp;
if ((phi1 <= -0.039) || !(phi1 <= 9.2e-7)) {
tmp = (atan2(sqrt(fma(cos(phi1), t_1, t_3)), sqrt((1.0 - fma(t_0, t_2, t_3)))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - fma(t_0, t_2, pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_3 = sin(Float64(0.5 * phi1)) ^ 2.0 tmp = 0.0 if ((phi1 <= -0.039) || !(phi1 <= 9.2e-7)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), t_1, t_3)), sqrt(Float64(1.0 - fma(t_0, t_2, t_3)))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(t_0, t_2, (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.039], N[Not[LessEqual[phi1, 9.2e-7]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * t$95$2 + 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}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.039 \lor \neg \left(\phi_1 \leq 9.2 \cdot 10^{-7}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, t\_2, t\_3\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, t\_2, {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -0.0389999999999999999 or 9.1999999999999998e-7 < phi1 Initial program 43.6%
Applied rewrites43.6%
Taylor expanded in phi1 around inf
lower-*.f6443.3
Applied rewrites43.3%
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
lift-sin.f64N/A
lift-*.f6444.9
Applied rewrites44.9%
if -0.0389999999999999999 < phi1 < 9.1999999999999998e-7Initial program 73.7%
Applied rewrites69.0%
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-*.f6468.8
Applied rewrites68.8%
Final simplification56.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (/ (- lambda1 lambda2) 2.0))
(t_3 (sin t_2))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_2))))))
(if (<= t_2 -50.0)
(*
(*
(atan2
(sqrt (fma t_0 t_4 (* -0.5 (* phi1 phi2))))
(sqrt (- 1.0 (fma t_0 t_4 t_1))))
2.0)
R)
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
t_1
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_3)
t_3))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = (lambda1 - lambda2) / 2.0;
double t_3 = sin(t_2);
double t_4 = 0.5 - (0.5 * cos((2.0 * t_2)));
double tmp;
if (t_2 <= -50.0) {
tmp = (atan2(sqrt(fma(t_0, t_4, (-0.5 * (phi1 * phi2)))), sqrt((1.0 - fma(t_0, t_4, t_1)))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - (t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_3) * t_3))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = Float64(Float64(lambda1 - lambda2) / 2.0) t_3 = sin(t_2) t_4 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) tmp = 0.0 if (t_2 <= -50.0) tmp = Float64(Float64(atan(sqrt(fma(t_0, t_4, Float64(-0.5 * Float64(phi1 * phi2)))), sqrt(Float64(1.0 - fma(t_0, t_4, t_1)))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_3) * t_3))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $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[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Sin[t$95$2], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -50.0], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$4 + N[(-0.5 * N[(phi1 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * t$95$4 + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \frac{\lambda_1 - \lambda_2}{2}\\
t_3 := \sin t\_2\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
\mathbf{if}\;t\_2 \leq -50:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_4, -0.5 \cdot \left(\phi_1 \cdot \phi_2\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, t\_4, t\_1\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_1 + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_3\right) \cdot t\_3\right)}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -50Initial program 55.7%
Applied rewrites55.6%
Taylor expanded in phi1 around 0
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6442.6
Applied rewrites42.6%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-*.f6425.5
Applied rewrites25.5%
if -50 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 59.0%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6445.0
Applied rewrites45.0%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6436.7
Applied rewrites36.7%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
lift-cos.f64N/A
lift-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6437.2
Applied rewrites37.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))
(t_3 (sin t_1))
(t_4 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (or (<= phi1 -1.3e-73) (not (<= phi1 1.95e-8)))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
t_4
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_3)
t_3)))))))
(*
(*
(atan2
(sqrt (fma t_0 t_2 (* phi2 (fma -0.5 phi1 (* 0.25 phi2)))))
(sqrt (- 1.0 (fma t_0 t_2 t_4))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = 0.5 - (0.5 * cos((2.0 * t_1)));
double t_3 = sin(t_1);
double t_4 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((phi1 <= -1.3e-73) || !(phi1 <= 1.95e-8)) {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - (t_4 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_3) * t_3))))));
} else {
tmp = (atan2(sqrt(fma(t_0, t_2, (phi2 * fma(-0.5, phi1, (0.25 * phi2))))), sqrt((1.0 - fma(t_0, t_2, t_4)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))) t_3 = sin(t_1) t_4 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if ((phi1 <= -1.3e-73) || !(phi1 <= 1.95e-8)) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(t_4 + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_3) * t_3))))))); else tmp = Float64(Float64(atan(sqrt(fma(t_0, t_2, Float64(phi2 * fma(-0.5, phi1, Float64(0.25 * phi2))))), sqrt(Float64(1.0 - fma(t_0, t_2, t_4)))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[t$95$1], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -1.3e-73], N[Not[LessEqual[phi1, 1.95e-8]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$2 + N[(phi2 * N[(-0.5 * phi1 + N[(0.25 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * t$95$2 + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\\
t_3 := \sin t\_1\\
t_4 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -1.3 \cdot 10^{-73} \lor \neg \left(\phi_1 \leq 1.95 \cdot 10^{-8}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_4 + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_3\right) \cdot t\_3\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_2, \phi_2 \cdot \mathsf{fma}\left(-0.5, \phi_1, 0.25 \cdot \phi_2\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, t\_2, t\_4\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -1.3e-73 or 1.94999999999999992e-8 < phi1 Initial program 44.5%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6437.9
Applied rewrites37.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6431.2
Applied rewrites31.2%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
lift-cos.f64N/A
lift-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6432.1
Applied rewrites32.1%
if -1.3e-73 < phi1 < 1.94999999999999992e-8Initial program 75.9%
Applied rewrites70.6%
Taylor expanded in phi1 around 0
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6470.4
Applied rewrites70.4%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f6441.6
Applied rewrites41.6%
Final simplification36.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_0)
t_0)))))))))
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((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt((sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0d0) * t_0) * t_0))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((((Math.cos((phi1 + phi2)) + Math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((((math.cos((phi1 + phi2)) + math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_0) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt((sin((0.5 * (phi1 - phi2))) ^ 2.0)), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0)))))); 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[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_0\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
lift-cos.f64N/A
lift-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6429.7
Applied rewrites29.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= t_2 -0.32) (not (<= t_2 4e-33)))
(* R (* 2.0 (atan2 t_1 (sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
t_1
(sqrt (- 1.0 (fma 1.0 t_0 (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 = sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((t_2 <= -0.32) || !(t_2 <= 4e-33)) {
tmp = R * (2.0 * atan2(t_1, sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(t_1, sqrt((1.0 - fma(1.0, t_0, 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 = sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((t_2 <= -0.32) || !(t_2 <= 4e-33)) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(1.0 - fma(1.0, t_0, (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[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[t$95$2, -0.32], N[Not[LessEqual[t$95$2, 4e-33]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - N[(1.0 * t$95$0 + 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 := \sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_2 \leq -0.32 \lor \neg \left(t\_2 \leq 4 \cdot 10^{-33}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 - \mathsf{fma}\left(1, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.320000000000000007 or 4.0000000000000002e-33 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 52.8%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6435.9
Applied rewrites35.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6418.4
Applied rewrites18.4%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6418.3
Applied rewrites18.3%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6417.9
Applied rewrites17.9%
if -0.320000000000000007 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 4.0000000000000002e-33Initial program 69.8%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6459.8
Applied rewrites59.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6455.7
Applied rewrites55.7%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6437.2
Applied rewrites37.2%
Taylor expanded in phi2 around 0
cos-neg-rev37.1
sin-+PI/2-rev37.1
Applied rewrites37.1%
Final simplification23.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))))))))
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((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt((sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt((sin((0.5 * (phi1 - phi2))) ^ 2.0)), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)))))); 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[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left({\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\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt t_0)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), t_0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.1
Applied rewrites29.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* -0.5 phi2)) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (sqrt (- 1.0 (fma (cos phi2) t_1 t_0))))
(t_3 (sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(if (<= phi2 -0.29)
(* R (* 2.0 (atan2 t_3 t_2)))
(if (<= phi2 880000.0)
(*
R
(*
2.0
(atan2
t_3
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi1) t_1)))))))
(* R (* 2.0 (atan2 (sqrt t_0) t_2)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((-0.5 * phi2)), 2.0);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sqrt((1.0 - fma(cos(phi2), t_1, t_0)));
double t_3 = sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0));
double tmp;
if (phi2 <= -0.29) {
tmp = R * (2.0 * atan2(t_3, t_2));
} else if (phi2 <= 880000.0) {
tmp = R * (2.0 * atan2(t_3, sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * t_1))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_0), t_2));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = sqrt(Float64(1.0 - fma(cos(phi2), t_1, t_0))) t_3 = sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) tmp = 0.0 if (phi2 <= -0.29) tmp = Float64(R * Float64(2.0 * atan(t_3, t_2))); elseif (phi2 <= 880000.0) tmp = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * t_1))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), t_2))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.29], N[(R * N[(2.0 * N[ArcTan[t$95$3 / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 880000.0], N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_1, t\_0\right)}\\
t_3 := \sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}\\
\mathbf{if}\;\phi_2 \leq -0.29:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{t\_2}\right)\\
\mathbf{elif}\;\phi_2 \leq 880000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{t\_2}\right)\\
\end{array}
\end{array}
if phi2 < -0.28999999999999998Initial program 43.9%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6435.0
Applied rewrites35.0%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6425.3
Applied rewrites25.3%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6426.4
Applied rewrites26.4%
if -0.28999999999999998 < phi2 < 8.8e5Initial program 74.8%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6452.3
Applied rewrites52.3%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6432.0
Applied rewrites32.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6432.0
Applied rewrites32.0%
if 8.8e5 < phi2 Initial program 41.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6434.2
Applied rewrites34.2%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6428.1
Applied rewrites28.1%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6429.0
Applied rewrites29.0%
Taylor expanded in phi1 around 0
lift-*.f6429.2
Applied rewrites29.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
}
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
code = r * (2.0d0 * atan2(sqrt((sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (cos(phi2) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (Math.cos(phi2) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (math.cos(phi2) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sqrt((sin((0.5 * (phi1 - phi2))) ^ 2.0)), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)}}\right)
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6426.9
Applied rewrites26.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* -0.5 phi2)) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (or (<= phi2 -6.2e+24) (not (<= phi2 880000.0)))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 (fma (cos phi2) t_1 t_0))))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt (- 1.0 t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((-0.5 * phi2)), 2.0);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if ((phi2 <= -6.2e+24) || !(phi2 <= 880000.0)) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi2), t_1, t_0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if ((phi2 <= -6.2e+24) || !(phi2 <= 880000.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi2), t_1, t_0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), 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 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $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, -6.2e+24], N[Not[LessEqual[phi2, 880000.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $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 \phi_2\right)}^{2}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -6.2 \cdot 10^{+24} \lor \neg \left(\phi_2 \leq 880000\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_1, t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi2 < -6.20000000000000022e24 or 8.8e5 < phi2 Initial program 43.9%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6435.3
Applied rewrites35.3%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6427.0
Applied rewrites27.0%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6428.0
Applied rewrites28.0%
Taylor expanded in phi1 around 0
lift-*.f6428.0
Applied rewrites28.0%
if -6.20000000000000022e24 < phi2 < 8.8e5Initial program 72.2%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6450.7
Applied rewrites50.7%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6431.4
Applied rewrites31.4%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6419.3
Applied rewrites19.3%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6419.2
Applied rewrites19.2%
Final simplification23.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $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]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\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)
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6423.7
Applied rewrites23.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(fma
(cos phi2)
(pow (sin (* -0.5 lambda2)) 2.0)
(pow (sin (* -0.5 phi2)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - fma(cos(phi2), pow(sin((-0.5 * lambda2)), 2.0), pow(sin((-0.5 * phi2)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - fma(cos(phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $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(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6423.7
Applied rewrites23.7%
Taylor expanded in lambda1 around 0
lift-*.f6423.6
Applied rewrites23.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt (- 1.0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))));
}
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
code = r * (2.0d0 * atan2(sqrt((sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)), sqrt((1.0d0 - (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)), math.sqrt((1.0 - math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sqrt((sin((0.5 * (phi1 - phi2))) ^ 2.0)), sqrt((1.0 - (sin((0.5 * (lambda1 - lambda2))) ^ 2.0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)
\end{array}
Initial program 57.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6442.8
Applied rewrites42.8%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.2
Applied rewrites29.2%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6423.7
Applied rewrites23.7%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6419.9
Applied rewrites19.9%
herbie shell --seed 2025051
(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))))))))))