
(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 30 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 61.9%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6462.6
Applied rewrites62.6%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6476.0
Applied rewrites76.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_4 (* (cos phi2) (cos phi1)))
(t_5 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(if (<= t_3 0.03)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))))
(sqrt (- 1.0 t_3)))))
(*
(*
(atan2 (sqrt (+ (* t_4 t_5) t_2)) (sqrt (- 1.0 (fma t_4 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 = cos(phi2) * cos(phi1);
double t_5 = 0.5 - (0.5 * cos((2.0 * t_0)));
double tmp;
if (t_3 <= 0.03) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)))), sqrt((1.0 - t_3))));
} else {
tmp = (atan2(sqrt(((t_4 * t_5) + t_2)), sqrt((1.0 - fma(t_4, 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 = Float64(cos(phi2) * cos(phi1)) t_5 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) tmp = 0.0 if (t_3 <= 0.03) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(Float64(atan(sqrt(Float64(Float64(t_4 * t_5) + t_2)), sqrt(Float64(1.0 - fma(t_4, 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[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $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[t$95$3, 0.03], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(t$95$4 * t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 * 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 := \cos \phi_2 \cdot \cos \phi_1\\
t_5 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\mathbf{if}\;t\_3 \leq 0.03:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_4 \cdot t\_5 + t\_2}}{\sqrt{1 - \mathsf{fma}\left(t\_4, t\_5, t\_2\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.029999999999999999Initial program 57.2%
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.f6460.8
Applied rewrites60.8%
if 0.029999999999999999 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.6%
Applied rewrites62.6%
Applied rewrites62.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (sin t_1))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_3) t_3)) 0.015)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
1.0
(+
1.0
(*
(* phi2 phi2)
(- (* 0.041666666666666664 (* phi2 phi2)) 0.5))))
t_3)
t_3)))
(sqrt
(-
1.0
(+
t_2
(*
(*
(*
(sin (fma -1.0 phi1 (/ (PI) 2.0)))
(+
1.0
(*
(* phi2 phi2)
(-
(*
(* phi2 phi2)
(+
0.041666666666666664
(* -0.001388888888888889 (* phi2 phi2))))
0.5))))
t_3)
t_3)))))))
(*
(*
(atan2 (sqrt (+ (* t_0 t_4) t_2)) (sqrt (- 1.0 (fma t_0 t_4 t_2))))
2.0)
R))))\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 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \sin t\_1\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) \cdot t\_3 \leq 0.015:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(1 \cdot \left(1 + \left(\phi_2 \cdot \phi_2\right) \cdot \left(0.041666666666666664 \cdot \left(\phi_2 \cdot \phi_2\right) - 0.5\right)\right)\right) \cdot t\_3\right) \cdot t\_3}}{\sqrt{1 - \left(t\_2 + \left(\left(\sin \left(\mathsf{fma}\left(-1, \phi_1, \frac{\mathsf{PI}\left(\right)}{2}\right)\right) \cdot \left(1 + \left(\phi_2 \cdot \phi_2\right) \cdot \left(\left(\phi_2 \cdot \phi_2\right) \cdot \left(0.041666666666666664 + -0.001388888888888889 \cdot \left(\phi_2 \cdot \phi_2\right)\right) - 0.5\right)\right)\right) \cdot t\_3\right) \cdot t\_3\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_0 \cdot t\_4 + t\_2}}{\sqrt{1 - \mathsf{fma}\left(t\_0, t\_4, t\_2\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.014999999999999999Initial program 59.9%
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.f6459.9
Applied rewrites59.9%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6459.5
Applied rewrites59.5%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6460.4
Applied rewrites60.4%
Taylor expanded in phi1 around 0
Applied rewrites63.3%
if 0.014999999999999999 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.015)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
1.0
(+
1.0
(*
(* phi2 phi2)
(- (* 0.041666666666666664 (* phi2 phi2)) 0.5))))
t_1)
t_1)))
(sqrt
(-
1.0
(+
t_2
(*
(*
(*
(sin (fma -1.0 phi1 (/ (PI) 2.0)))
(+
1.0
(*
(* phi2 phi2)
(-
(*
(* phi2 phi2)
(+
0.041666666666666664
(* -0.001388888888888889 (* phi2 phi2))))
0.5))))
t_1)
t_1)))))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.015:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(1 \cdot \left(1 + \left(\phi_2 \cdot \phi_2\right) \cdot \left(0.041666666666666664 \cdot \left(\phi_2 \cdot \phi_2\right) - 0.5\right)\right)\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \left(t\_2 + \left(\left(\sin \left(\mathsf{fma}\left(-1, \phi_1, \frac{\mathsf{PI}\left(\right)}{2}\right)\right) \cdot \left(1 + \left(\phi_2 \cdot \phi_2\right) \cdot \left(\left(\phi_2 \cdot \phi_2\right) \cdot \left(0.041666666666666664 + -0.001388888888888889 \cdot \left(\phi_2 \cdot \phi_2\right)\right) - 0.5\right)\right)\right) \cdot t\_1\right) \cdot t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.014999999999999999Initial program 59.9%
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.f6459.9
Applied rewrites59.9%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6459.5
Applied rewrites59.5%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6460.4
Applied rewrites60.4%
Taylor expanded in phi1 around 0
Applied rewrites63.3%
if 0.014999999999999999 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.2%
Applied rewrites62.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites62.2%
(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)))
(*
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_1))
(sqrt (- 1.0 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) 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 = ((cos(phi1) * cos(phi2)) * t_0) * t_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_1)), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + 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 = ((cos(phi1) * cos(phi2)) * t_0) * t_0
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_1)), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + 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.cos(phi1) * Math.cos(phi2)) * t_0) * t_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_1)), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + 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 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_1)), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + 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) 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) + t_1)), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + 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; 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_1)), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + 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[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $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\\
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} + t\_1}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 61.9%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6462.8
Applied rewrites62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.9%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6462.8
Applied rewrites62.8%
Taylor expanded in lambda1 around 0
Applied rewrites62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - fma(cos(phi1), t_0, pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[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[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\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, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.9%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6462.6
Applied rewrites62.6%
Taylor expanded in lambda1 around 0
Applied rewrites62.6%
(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 61.9%
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--.f6462.0
Applied rewrites62.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1)))
(if (or (<= t_2 -0.05) (not (<= t_2 0.005)))
(*
(*
(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_1))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R)
(*
R
(*
2.0
(atan2
(sqrt t_0)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 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);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
double tmp;
if ((t_2 <= -0.05) || !(t_2 <= 0.005)) {
tmp = (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_1)))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) tmp = 0.0 if ((t_2 <= -0.05) || !(t_2 <= 0.005)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), t_0)))))); end return tmp 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]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, If[Or[LessEqual[t$95$2, -0.05], N[Not[LessEqual[t$95$2, 0.005]], $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] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $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$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], 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 * N[(lambda1 - lambda2), $MachinePrecision]), $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}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
\mathbf{if}\;t\_2 \leq -0.05 \lor \neg \left(t\_2 \leq 0.005\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\_1\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;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 \left(\lambda_1 - \lambda_2\right)\right)}^{2}, t\_0\right)}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.050000000000000003 or 0.0050000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 58.3%
Applied rewrites58.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6449.3
Applied rewrites49.3%
if -0.050000000000000003 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.0050000000000000001Initial program 71.7%
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--.f6467.5
Applied rewrites67.5%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6462.5
Applied rewrites62.5%
Taylor expanded in lambda1 around inf
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
Applied rewrites62.5%
Final simplification52.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
(- 1.0 t_2)
(* (* (cos phi2) (cos phi1)) (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = sin(t_0);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - t_2) - ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0)))))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = (lambda1 - lambda2) / 2.0d0
t_1 = sin(t_0)
t_2 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0d0 - t_2) - ((cos(phi2) * cos(phi1)) * (0.5d0 - (0.5d0 * cos((2.0d0 * t_0)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = Math.sin(t_0);
double t_2 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_2 + (((Math.cos(phi1) * Math.cos(phi2)) * t_1) * t_1))), Math.sqrt(((1.0 - t_2) - ((Math.cos(phi2) * Math.cos(phi1)) * (0.5 - (0.5 * Math.cos((2.0 * t_0)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (lambda1 - lambda2) / 2.0 t_1 = math.sin(t_0) t_2 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_2 + (((math.cos(phi1) * math.cos(phi2)) * t_1) * t_1))), math.sqrt(((1.0 - t_2) - ((math.cos(phi2) * math.cos(phi1)) * (0.5 - (0.5 * math.cos((2.0 * t_0)))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(Float64(1.0 - t_2) - Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (lambda1 - lambda2) / 2.0; t_1 = sin(t_0); t_2 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - t_2) - ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$2), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{\left(1 - t\_2\right) - \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.9%
Applied rewrites61.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
return (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 61.9%
Applied rewrites60.1%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites60.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (fma (* (cos phi2) (cos phi1)) t_0 t_1)))
(if (or (<= phi1 -2.7e-7) (not (<= phi1 6.8e+17)))
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 t_2)))
2.0)
R)
(*
(* (atan2 (sqrt t_2) (sqrt (- 1.0 (fma (cos phi2) t_0 t_1)))) 2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = fma((cos(phi2) * cos(phi1)), t_0, t_1);
double tmp;
if ((phi1 <= -2.7e-7) || !(phi1 <= 6.8e+17)) {
tmp = (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - t_2))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - fma(cos(phi2), t_0, t_1)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = fma(Float64(cos(phi2) * cos(phi1)), t_0, t_1) tmp = 0.0 if ((phi1 <= -2.7e-7) || !(phi1 <= 6.8e+17)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - t_2))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - fma(cos(phi2), t_0, t_1)))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]}, If[Or[LessEqual[phi1, -2.7e-7], N[Not[LessEqual[phi1, 6.8e+17]], $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] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_0, t\_1\right)\\
\mathbf{if}\;\phi_1 \leq -2.7 \cdot 10^{-7} \lor \neg \left(\phi_1 \leq 6.8 \cdot 10^{+17}\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 - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, t\_1\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -2.70000000000000009e-7 or 6.8e17 < phi1 Initial program 50.7%
Applied rewrites50.7%
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-*.f6451.9
Applied rewrites51.9%
if -2.70000000000000009e-7 < phi1 < 6.8e17Initial program 73.3%
Applied rewrites69.6%
Taylor expanded in phi1 around 0
lift-cos.f6469.5
Applied rewrites69.5%
Final simplification60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_0 t_1)))))
(if (or (<= phi1 -2.7e-7) (not (<= phi1 6.8e+17)))
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
t_2)
2.0)
R)
(* (* (atan2 (sqrt (fma (cos phi2) t_0 t_1)) t_2) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_0, t_1)));
double tmp;
if ((phi1 <= -2.7e-7) || !(phi1 <= 6.8e+17)) {
tmp = (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0))), t_2) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi2), t_0, t_1)), t_2) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_0, t_1))) tmp = 0.0 if ((phi1 <= -2.7e-7) || !(phi1 <= 6.8e+17)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0))), t_2) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, t_1)), t_2) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi1, -2.7e-7], N[Not[LessEqual[phi1, 6.8e+17]], $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] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_0, t\_1\right)}\\
\mathbf{if}\;\phi_1 \leq -2.7 \cdot 10^{-7} \lor \neg \left(\phi_1 \leq 6.8 \cdot 10^{+17}\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)}}{t\_2} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, t\_1\right)}}{t\_2} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -2.70000000000000009e-7 or 6.8e17 < phi1 Initial program 50.7%
Applied rewrites50.7%
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-*.f6451.9
Applied rewrites51.9%
if -2.70000000000000009e-7 < phi1 < 6.8e17Initial program 73.3%
Applied rewrites69.6%
Taylor expanded in phi1 around 0
lift-cos.f6469.5
Applied rewrites69.5%
Final simplification60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2
(fma
(cos phi2)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (fma (* (cos phi2) (cos phi1)) t_0 t_1))
(t_4 (sqrt (- 1.0 t_3))))
(if (<= phi2 -0.000116)
(* (* (atan2 (sqrt t_2) t_4) 2.0) R)
(if (<= phi2 8.2e-6)
(* (* (atan2 (sqrt (fma (cos phi1) t_0 t_1)) t_4) 2.0) R)
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_2))) 2.0) R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = fma(cos(phi2), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = fma((cos(phi2) * cos(phi1)), t_0, t_1);
double t_4 = sqrt((1.0 - t_3));
double tmp;
if (phi2 <= -0.000116) {
tmp = (atan2(sqrt(t_2), t_4) * 2.0) * R;
} else if (phi2 <= 8.2e-6) {
tmp = (atan2(sqrt(fma(cos(phi1), t_0, t_1)), t_4) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_2))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = fma(cos(phi2), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = fma(Float64(cos(phi2) * cos(phi1)), t_0, t_1) t_4 = sqrt(Float64(1.0 - t_3)) tmp = 0.0 if (phi2 <= -0.000116) tmp = Float64(Float64(atan(sqrt(t_2), t_4) * 2.0) * R); elseif (phi2 <= 8.2e-6) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), t_0, t_1)), t_4) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_2))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.000116], N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / t$95$4], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi2, 8.2e-6], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $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 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \mathsf{fma}\left(\cos \phi_2, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_0, t\_1\right)\\
t_4 := \sqrt{1 - t\_3}\\
\mathbf{if}\;\phi_2 \leq -0.000116:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{t\_4} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_2 \leq 8.2 \cdot 10^{-6}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, t\_1\right)}}{t\_4} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi2 < -1.16e-4Initial program 48.9%
Applied rewrites48.9%
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-*.f6450.1
Applied rewrites50.1%
if -1.16e-4 < phi2 < 8.1999999999999994e-6Initial program 73.8%
Applied rewrites70.5%
Taylor expanded in phi2 around 0
lift-cos.f6470.5
Applied rewrites70.5%
if 8.1999999999999994e-6 < phi2 Initial program 45.9%
Applied rewrites45.8%
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-*.f6446.5
Applied rewrites46.5%
(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 -4.5e-5) (not (<= phi2 5.4e-6)))
(*
(*
(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 <= -4.5e-5) || !(phi2 <= 5.4e-6)) {
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 <= -4.5e-5) || !(phi2 <= 5.4e-6)) 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, -4.5e-5], N[Not[LessEqual[phi2, 5.4e-6]], $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 -4.5 \cdot 10^{-5} \lor \neg \left(\phi_2 \leq 5.4 \cdot 10^{-6}\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 < -4.50000000000000028e-5 or 5.39999999999999997e-6 < phi2 Initial program 47.5%
Applied rewrites47.4%
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-*.f6448.4
Applied rewrites48.4%
if -4.50000000000000028e-5 < phi2 < 5.39999999999999997e-6Initial program 73.8%
Applied rewrites70.5%
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-*.f6470.5
Applied rewrites70.5%
Final simplification60.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))))))
(if (or (<= phi1 -1.14e-7) (not (<= phi1 9.1e-7)))
(*
(*
(atan2 (sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0))) t_1)
2.0)
R)
(*
(*
(atan2 (sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0))) t_1)
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))));
double tmp;
if ((phi1 <= -1.14e-7) || !(phi1 <= 9.1e-7)) {
tmp = (atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), t_1) * 2.0) * R;
} else {
tmp = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), t_1) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)))) tmp = 0.0 if ((phi1 <= -1.14e-7) || !(phi1 <= 9.1e-7)) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), t_1) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), t_1) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi1, -1.14e-7], N[Not[LessEqual[phi1, 9.1e-7]], $MachinePrecision]], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}\\
\mathbf{if}\;\phi_1 \leq -1.14 \cdot 10^{-7} \lor \neg \left(\phi_1 \leq 9.1 \cdot 10^{-7}\right):\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{t\_1} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{t\_1} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -1.14000000000000002e-7 or 9.0999999999999997e-7 < phi1 Initial program 50.5%
Applied rewrites50.6%
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
lower-sin.f64N/A
lower-*.f6451.5
Applied rewrites51.5%
if -1.14000000000000002e-7 < phi1 < 9.0999999999999997e-7Initial program 74.2%
Applied rewrites70.4%
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-*.f6468.6
Applied rewrites68.6%
Final simplification59.7%
(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 (sqrt t_0))
(t_2 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_3 (fma (cos phi2) t_2 (pow (sin (* -0.5 phi2)) 2.0))))
(if (<= phi2 -4.5e-5)
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_0))) 2.0) R)
(if (<= phi2 5.4e-6)
(*
(*
(atan2
t_1
(sqrt (- 1.0 (fma (cos phi1) t_2 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)
(* (* (atan2 t_1 (sqrt (- 1.0 t_3))) 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 = sqrt(t_0);
double t_2 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_3 = fma(cos(phi2), t_2, pow(sin((-0.5 * phi2)), 2.0));
double tmp;
if (phi2 <= -4.5e-5) {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_0))) * 2.0) * R;
} else if (phi2 <= 5.4e-6) {
tmp = (atan2(t_1, sqrt((1.0 - fma(cos(phi1), t_2, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
} else {
tmp = (atan2(t_1, sqrt((1.0 - t_3))) * 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 = sqrt(t_0) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_3 = fma(cos(phi2), t_2, (sin(Float64(-0.5 * phi2)) ^ 2.0)) tmp = 0.0 if (phi2 <= -4.5e-5) tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_0))) * 2.0) * R); elseif (phi2 <= 5.4e-6) tmp = Float64(Float64(atan(t_1, sqrt(Float64(1.0 - fma(cos(phi1), t_2, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R); else tmp = Float64(Float64(atan(t_1, sqrt(Float64(1.0 - t_3))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(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[Sqrt[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * t$95$2 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -4.5e-5], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi2, 5.4e-6], N[(N[(N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - t$95$3), $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 := \sqrt{t\_0}\\
t_2 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2, t\_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -4.5 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_2 \leq 5.4 \cdot 10^{-6}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_1}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_2, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_1}{\sqrt{1 - t\_3}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi2 < -4.50000000000000028e-5Initial program 48.9%
Applied rewrites48.9%
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-*.f6450.1
Applied rewrites50.1%
if -4.50000000000000028e-5 < phi2 < 5.39999999999999997e-6Initial program 73.8%
Applied rewrites70.5%
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-*.f6470.5
Applied rewrites70.5%
if 5.39999999999999997e-6 < phi2 Initial program 45.9%
Applied rewrites45.8%
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-*.f6446.5
Applied rewrites46.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (or (<= t_1 -0.22) (not (<= t_1 1e-43)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0) t_2))
(sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi2) t_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 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if ((t_1 <= -0.22) || !(t_1 <= 1e-43)) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), pow(sin((-0.5 * lambda2)), 2.0), t_2)), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi2) * t_0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if ((t_1 <= -0.22) || !(t_1 <= 1e-43)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0), t_2)), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi2) * t_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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $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$1, -0.22], N[Not[LessEqual[t$95$1, 1e-43]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$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 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;t\_1 \leq -0.22 \lor \neg \left(t\_1 \leq 10^{-43}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_2\right)}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_2 \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.220000000000000001 or 1.00000000000000008e-43 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) 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--.f6434.8
Applied rewrites34.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6431.6
Applied rewrites31.6%
Taylor expanded in phi1 around 0
lift-cos.f6425.7
Applied rewrites25.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6425.2
Applied rewrites25.2%
if -0.220000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 1.00000000000000008e-43Initial 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--.f6464.7
Applied rewrites64.7%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6457.9
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f6457.8
Applied rewrites57.8%
Final simplification35.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (pow (sin (* -0.5 phi2)) 2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (<= phi2 -0.105)
(*
R
(*
2.0
(atan2
(sqrt t_1)
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_2) t_2)))))))
(if (<= phi2 0.00021)
(*
R
(*
2.0
(atan2
(sqrt (fma 1.0 (pow (sin (* -0.5 lambda2)) 2.0) t_3))
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))))
(*
R
(* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 (fma (cos phi2) t_0 t_1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(sin((-0.5 * phi2)), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if (phi2 <= -0.105) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_2) * t_2))))));
} else if (phi2 <= 0.00021) {
tmp = R * (2.0 * atan2(sqrt(fma(1.0, pow(sin((-0.5 * lambda2)), 2.0), t_3)), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - fma(cos(phi2), t_0, t_1)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(-0.5 * phi2)) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if (phi2 <= -0.105) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2))))))); elseif (phi2 <= 0.00021) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(1.0, (sin(Float64(-0.5 * lambda2)) ^ 2.0), t_3)), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - fma(cos(phi2), t_0, t_1)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi2, -0.105], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $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$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00021], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(1.0 * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + t$95$1), $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 := {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -0.105:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\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\_2\right) \cdot t\_2\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00021:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_3\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, t\_1\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -0.104999999999999996Initial program 49.2%
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--.f6438.4
Applied rewrites38.4%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6431.5
Applied rewrites31.5%
Taylor expanded in phi1 around 0
lift-*.f6431.8
Applied rewrites31.8%
if -0.104999999999999996 < phi2 < 2.1000000000000001e-4Initial program 73.5%
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--.f6449.8
Applied rewrites49.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6449.8
Applied rewrites49.8%
Taylor expanded in phi1 around 0
lift-cos.f6441.2
Applied rewrites41.2%
Taylor expanded in phi2 around 0
Applied rewrites41.2%
if 2.1000000000000001e-4 < phi2 Initial program 45.9%
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--.f6434.5
Applied rewrites34.5%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6430.4
Applied rewrites30.4%
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
lower-pow.f64N/A
lower-sin.f64N/A
lift-*.f6431.1
Applied rewrites31.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (or (<= lambda2 -2.7e-5) (not (<= lambda2 0.031)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0) t_1))
(sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt t_1)
(sqrt (- 1.0 (fma (cos phi1) (* (cos phi2) t_0) t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if ((lambda2 <= -2.7e-5) || !(lambda2 <= 0.031)) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), pow(sin((-0.5 * lambda2)), 2.0), t_1)), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), t_1)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if ((lambda2 <= -2.7e-5) || !(lambda2 <= 0.031)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0), t_1)), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_0), t_1)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[lambda2, -2.7e-5], N[Not[LessEqual[lambda2, 0.031]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + t$95$1), $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 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\lambda_2 \leq -2.7 \cdot 10^{-5} \lor \neg \left(\lambda_2 \leq 0.031\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_1\right)}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, t\_1\right)}}\right)\\
\end{array}
\end{array}
if lambda2 < -2.6999999999999999e-5 or 0.031 < lambda2 Initial program 44.4%
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--.f6444.1
Applied rewrites44.1%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6438.7
Applied rewrites38.7%
Taylor expanded in phi1 around 0
lift-cos.f6429.6
Applied rewrites29.6%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.4
Applied rewrites29.4%
if -2.6999999999999999e-5 < lambda2 < 0.031Initial program 78.3%
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--.f6443.7
Applied rewrites43.7%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6440.9
Applied rewrites40.9%
Taylor expanded in lambda1 around inf
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
Applied rewrites40.9%
Final simplification35.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (or (<= lambda2 -2.7e-5) (not (<= lambda2 0.031)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0) t_0))
(sqrt (- 1.0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt t_0)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 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);
double tmp;
if ((lambda2 <= -2.7e-5) || !(lambda2 <= 0.031)) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), pow(sin((-0.5 * lambda2)), 2.0), t_0)), sqrt((1.0 - pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if ((lambda2 <= -2.7e-5) || !(lambda2 <= 0.031)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0), t_0)), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), t_0)))))); end return tmp 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]}, If[Or[LessEqual[lambda2, -2.7e-5], N[Not[LessEqual[lambda2, 0.031]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$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], 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 * lambda1), $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}\\
\mathbf{if}\;\lambda_2 \leq -2.7 \cdot 10^{-5} \lor \neg \left(\lambda_2 \leq 0.031\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_0\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;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_1\right)}^{2}, t\_0\right)}}\right)\\
\end{array}
\end{array}
if lambda2 < -2.6999999999999999e-5 or 0.031 < lambda2 Initial program 44.4%
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--.f6444.1
Applied rewrites44.1%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6438.7
Applied rewrites38.7%
Taylor expanded in phi1 around 0
lift-cos.f6429.6
Applied rewrites29.6%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.4
Applied rewrites29.4%
if -2.6999999999999999e-5 < lambda2 < 0.031Initial program 78.3%
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--.f6443.7
Applied rewrites43.7%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6440.9
Applied rewrites40.9%
Taylor expanded in lambda2 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.f6440.8
Applied rewrites40.8%
Final simplification35.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (or (<= t_1 -20000000000.0) (not (<= t_1 1e-43)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0) t_2))
(sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi1) t_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 = (lambda1 - lambda2) / 2.0;
double t_2 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if ((t_1 <= -20000000000.0) || !(t_1 <= 1e-43)) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), pow(sin((-0.5 * lambda2)), 2.0), t_2)), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * t_0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if ((t_1 <= -20000000000.0) || !(t_1 <= 1e-43)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0), t_2)), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * t_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[(N[(lambda1 - lambda2), $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$1, -20000000000.0], N[Not[LessEqual[t$95$1, 1e-43]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $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 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;t\_1 \leq -20000000000 \lor \neg \left(t\_1 \leq 10^{-43}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_2\right)}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -2e10 or 1.00000000000000008e-43 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 56.6%
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--.f6434.0
Applied rewrites34.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6430.5
Applied rewrites30.5%
Taylor expanded in phi1 around 0
lift-cos.f6425.1
Applied rewrites25.1%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6424.6
Applied rewrites24.6%
if -2e10 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 1.00000000000000008e-43Initial program 78.6%
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--.f6475.4
Applied rewrites75.4%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6468.3
Applied rewrites68.3%
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.f6468.2
Applied rewrites68.2%
Final simplification35.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (<= (sin (/ (- lambda1 lambda2) 2.0)) -0.22)
(* R (* 2.0 (atan2 t_0 (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma 1.0 t_1 (pow (sin (* 0.5 phi1)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if (sin(((lambda1 - lambda2) / 2.0)) <= -0.22) {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(1.0, t_1, pow(sin((0.5 * phi1)), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if (sin(Float64(Float64(lambda1 - lambda2) / 2.0)) <= -0.22) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma(1.0, t_1, (sin(Float64(0.5 * phi1)) ^ 2.0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], -0.22], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(1.0 * t$95$1 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right) \leq -0.22:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left(1, t\_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.220000000000000001Initial program 61.9%
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--.f6439.2
Applied rewrites39.2%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6415.8
Applied rewrites15.8%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites16.1%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6415.8
Applied rewrites15.8%
if -0.220000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 61.9%
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--.f6446.6
Applied rewrites46.6%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6436.8
Applied rewrites36.8%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites29.1%
Taylor expanded in phi1 around 0
Applied rewrites26.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (or (<= phi2 -310.0) (not (<= phi2 5.4e-6)))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0)))))))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma (cos phi1) t_1 (pow (sin (* 0.5 phi1)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if ((phi2 <= -310.0) || !(phi2 <= 5.4e-6)) {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(cos(phi1), t_1, pow(sin((0.5 * phi1)), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if ((phi2 <= -310.0) || !(phi2 <= 5.4e-6)) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma(cos(phi1), t_1, (sin(Float64(0.5 * phi1)) ^ 2.0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi2, -310.0], N[Not[LessEqual[phi2, 5.4e-6]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[t$95$0 / 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]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / 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]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -310 \lor \neg \left(\phi_2 \leq 5.4 \cdot 10^{-6}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -310 or 5.39999999999999997e-6 < phi2 Initial program 48.1%
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--.f6436.9
Applied rewrites36.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6431.2
Applied rewrites31.2%
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
lower-pow.f64N/A
lower-sin.f64N/A
lift-*.f6431.6
Applied rewrites31.6%
if -310 < phi2 < 5.39999999999999997e-6Initial program 72.8%
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--.f6449.4
Applied rewrites49.4%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6427.4
Applied rewrites27.4%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites27.4%
Final simplification29.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (sqrt (- 1.0 (fma (cos phi1) t_1 t_0))))
(t_3 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (<= phi1 -9.2e-7)
(* R (* 2.0 (atan2 (sqrt t_3) t_2)))
(if (<= phi1 0.00037)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0) t_3))
(sqrt (- 1.0 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 * phi1)), 2.0);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sqrt((1.0 - fma(cos(phi1), t_1, t_0)));
double t_3 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if (phi1 <= -9.2e-7) {
tmp = R * (2.0 * atan2(sqrt(t_3), t_2));
} else if (phi1 <= 0.00037) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), pow(sin((-0.5 * lambda2)), 2.0), t_3)), sqrt((1.0 - 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 * phi1)) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = sqrt(Float64(1.0 - fma(cos(phi1), t_1, t_0))) t_3 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if (phi1 <= -9.2e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), t_2))); elseif (phi1 <= 0.00037) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0), t_3)), sqrt(Float64(1.0 - 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 * phi1), $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[phi1], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -9.2e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.00037], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\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_1, t\_1, t\_0\right)}\\
t_3 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -9.2 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{t\_2}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.00037:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_3\right)}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{t\_2}\right)\\
\end{array}
\end{array}
if phi1 < -9.1999999999999998e-7Initial program 48.4%
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--.f6442.9
Applied rewrites42.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6433.6
Applied rewrites33.6%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites33.9%
if -9.1999999999999998e-7 < phi1 < 3.6999999999999999e-4Initial program 74.4%
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 phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.8
Applied rewrites32.8%
Taylor expanded in phi1 around 0
lift-cos.f6432.7
Applied rewrites32.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6432.7
Applied rewrites32.7%
if 3.6999999999999999e-4 < phi1 Initial program 51.9%
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--.f6436.2
Applied rewrites36.2%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6427.8
Applied rewrites27.8%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites28.0%
Taylor expanded in phi1 around inf
Applied rewrites28.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (or (<= phi1 -0.39) (not (<= phi1 940000000000.0)))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 (fma (cos phi1) t_1 t_0))))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt (- 1.0 (fma 1.0 t_1 t_0)))))))))
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 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if ((phi1 <= -0.39) || !(phi1 <= 940000000000.0)) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), t_1, t_0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - fma(1.0, t_1, t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if ((phi1 <= -0.39) || !(phi1 <= 940000000000.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), 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 - fma(1.0, t_1, t_0)))))); 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[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.39], N[Not[LessEqual[phi1, 940000000000.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * 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 - N[(1.0 * t$95$1 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.39 \lor \neg \left(\phi_1 \leq 940000000000\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, 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 - \mathsf{fma}\left(1, t\_1, t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.39000000000000001 or 9.4e11 < phi1 Initial program 49.4%
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--.f6438.5
Applied rewrites38.5%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.6
Applied rewrites29.6%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites29.9%
Taylor expanded in phi1 around inf
Applied rewrites30.0%
if -0.39000000000000001 < phi1 < 9.4e11Initial program 74.5%
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--.f6449.3
Applied rewrites49.3%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6428.5
Applied rewrites28.5%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites18.6%
Taylor expanded in phi1 around 0
Applied rewrites18.6%
Final simplification24.3%
(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 phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 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(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $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_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
Initial program 61.9%
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--.f6443.9
Applied rewrites43.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.0
Applied rewrites29.0%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites24.3%
(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 phi1)
(pow (sin (* 0.5 lambda1)) 2.0)
(pow (sin (* 0.5 phi1)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - fma(cos(phi1), pow(sin((0.5 * lambda1)), 2.0), pow(sin((0.5 * phi1)), 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(phi1), (sin(Float64(0.5 * lambda1)) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
Initial program 61.9%
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--.f6443.9
Applied rewrites43.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.0
Applied rewrites29.0%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites24.3%
Taylor expanded in lambda1 around inf
Applied rewrites24.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(fma
(cos phi1)
(pow (sin (* -0.5 lambda2)) 2.0)
(pow (sin (* 0.5 phi1)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - fma(cos(phi1), pow(sin((-0.5 * lambda2)), 2.0), pow(sin((0.5 * phi1)), 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(phi1), (sin(Float64(-0.5 * lambda2)) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
Initial program 61.9%
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--.f6443.9
Applied rewrites43.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.0
Applied rewrites29.0%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites24.3%
Taylor expanded in lambda1 around 0
lift-*.f6424.0
Applied rewrites24.0%
(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 61.9%
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--.f6443.9
Applied rewrites43.9%
Taylor expanded in lambda2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.0
Applied rewrites29.0%
Taylor expanded in phi2 around 0
lower-sqrt.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.f64N/A
lift-fma.f64N/A
Applied rewrites24.3%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6419.2
Applied rewrites19.2%
herbie shell --seed 2025037
(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))))))))))