
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Herbie found 28 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 62.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.2
Applied rewrites63.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6478.4
Applied rewrites78.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_2) t_2))))
(if (<= (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))) 2e-7)
(*
R
(*
2.0
(atan2
(sqrt t_1)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) t_1)
(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), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_2) * t_2);
double tmp;
if ((2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3)))) <= 2e-7) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_1), pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
} else {
tmp = (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3)))) <= 2e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_1), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $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[(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]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2e-7], 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$1), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\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\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \leq 2 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\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 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 1.9999999999999999e-7Initial program 95.4%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6495.4
Applied rewrites95.4%
Taylor expanded in lambda1 around 0
Applied rewrites95.4%
Taylor expanded in phi1 around 0
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
lift-sin.f64N/A
lift-*.f6477.8
Applied rewrites77.8%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6458.2
Applied rewrites58.2%
if 1.9999999999999999e-7 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 60.3%
Applied rewrites60.2%
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-*.f6444.5
Applied rewrites44.5%
Taylor expanded in phi2 around 0
Applied rewrites44.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (* (cos phi2) (cos phi1)))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.025)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
(cos phi1)
(fma
(- (* (* phi2 phi2) 0.041666666666666664) 0.5)
(* phi2 phi2)
1.0))
t_1)
t_1)))
(sqrt
(-
1.0
(+
t_2
(* (* (* (cos phi1) (+ 1.0 (* -0.5 (* phi2 phi2)))) t_1) t_1)))))))
(*
(*
(atan2 (sqrt (+ (* t_3 t_4) t_2)) (sqrt (- 1.0 (fma t_3 t_4 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 = cos(phi2) * cos(phi1);
double t_4 = 0.5 - (0.5 * cos((2.0 * t_0)));
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.025) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * fma((((phi2 * phi2) * 0.041666666666666664) - 0.5), (phi2 * phi2), 1.0)) * t_1) * t_1))), sqrt((1.0 - (t_2 + (((cos(phi1) * (1.0 + (-0.5 * (phi2 * phi2)))) * t_1) * t_1))))));
} else {
tmp = (atan2(sqrt(((t_3 * t_4) + t_2)), sqrt((1.0 - fma(t_3, t_4, 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(cos(phi2) * cos(phi1)) t_4 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.025) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(cos(phi1) * fma(Float64(Float64(Float64(phi2 * phi2) * 0.041666666666666664) - 0.5), Float64(phi2 * phi2), 1.0)) * t_1) * t_1))), sqrt(Float64(1.0 - Float64(t_2 + Float64(Float64(Float64(cos(phi1) * Float64(1.0 + Float64(-0.5 * Float64(phi2 * phi2)))) * t_1) * t_1))))))); else tmp = Float64(Float64(atan(sqrt(Float64(Float64(t_3 * t_4) + t_2)), sqrt(Float64(1.0 - fma(t_3, t_4, 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[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.025], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[(N[(phi2 * phi2), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] - 0.5), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(t$95$3 * t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 * t$95$4 + 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 := \cos \phi_2 \cdot \cos \phi_1\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.025:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\cos \phi_1 \cdot \mathsf{fma}\left(\left(\phi_2 \cdot \phi_2\right) \cdot 0.041666666666666664 - 0.5, \phi_2 \cdot \phi_2, 1\right)\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \left(t\_2 + \left(\left(\cos \phi_1 \cdot \left(1 + -0.5 \cdot \left(\phi_2 \cdot \phi_2\right)\right)\right) \cdot t\_1\right) \cdot t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3 \cdot t\_4 + t\_2}}{\sqrt{1 - \mathsf{fma}\left(t\_3, 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))))) < 0.025000000000000001Initial program 66.9%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6464.0
Applied rewrites64.0%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6464.1
Applied rewrites64.1%
if 0.025000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.5%
Applied rewrites61.5%
Applied rewrites61.5%
(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 (* (cos phi2) (cos phi1)))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.026)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
(cos phi1)
(fma
(- (* (* phi2 phi2) 0.041666666666666664) 0.5)
(* phi2 phi2)
1.0))
t_1)
t_1)))
(sqrt
(-
1.0
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))))))
(*
(*
(atan2 (sqrt (+ (* t_3 t_4) t_2)) (sqrt (- 1.0 (fma t_3 t_4 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 = cos(phi2) * cos(phi1);
double t_4 = 0.5 - (0.5 * cos((2.0 * t_0)));
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.026) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * fma((((phi2 * phi2) * 0.041666666666666664) - 0.5), (phi2 * phi2), 1.0)) * t_1) * t_1))), sqrt((1.0 - fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 2.0))))));
} else {
tmp = (atan2(sqrt(((t_3 * t_4) + t_2)), sqrt((1.0 - fma(t_3, t_4, 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(cos(phi2) * cos(phi1)) t_4 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.026) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(cos(phi1) * fma(Float64(Float64(Float64(phi2 * phi2) * 0.041666666666666664) - 0.5), Float64(phi2 * phi2), 1.0)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(Float64(Float64(t_3 * t_4) + t_2)), sqrt(Float64(1.0 - fma(t_3, t_4, 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[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.026], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[(N[(phi2 * phi2), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] - 0.5), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $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], N[(N[(N[ArcTan[N[Sqrt[N[(N[(t$95$3 * t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 * t$95$4 + 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 := \cos \phi_2 \cdot \cos \phi_1\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.026:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\cos \phi_1 \cdot \mathsf{fma}\left(\left(\phi_2 \cdot \phi_2\right) \cdot 0.041666666666666664 - 0.5, \phi_2 \cdot \phi_2, 1\right)\right) \cdot t\_1\right) \cdot t\_1}}{\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)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3 \cdot t\_4 + t\_2}}{\sqrt{1 - \mathsf{fma}\left(t\_3, 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))))) < 0.0259999999999999988Initial program 66.9%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6464.0
Applied rewrites64.0%
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-*.f6463.3
Applied rewrites63.3%
if 0.0259999999999999988 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.5%
Applied rewrites61.5%
Applied rewrites61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)) 0.025)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(*
(*
(cos phi1)
(fma
(- (* (* phi2 phi2) 0.041666666666666664) 0.5)
(* phi2 phi2)
1.0))
t_0)
t_0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))))))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 0.025) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * fma((((phi2 * phi2) * 0.041666666666666664) - 0.5), (phi2 * phi2), 1.0)) * t_0) * t_0))), sqrt((1.0 - fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 2.0))))));
} else {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 0.025) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(cos(phi1) * fma(Float64(Float64(Float64(phi2 * phi2) * 0.041666666666666664) - 0.5), Float64(phi2 * phi2), 1.0)) * t_0) * t_0))), sqrt(Float64(1.0 - fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[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]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 0.025], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[(N[(phi2 * phi2), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] - 0.5), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $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], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \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_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\_0\right) \cdot t\_0 \leq 0.025:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\cos \phi_1 \cdot \mathsf{fma}\left(\left(\phi_2 \cdot \phi_2\right) \cdot 0.041666666666666664 - 0.5, \phi_2 \cdot \phi_2, 1\right)\right) \cdot t\_0\right) \cdot t\_0}}{\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)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \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))))) < 0.025000000000000001Initial program 66.9%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6464.0
Applied rewrites64.0%
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-*.f6463.4
Applied rewrites63.4%
if 0.025000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.5%
Applied rewrites61.5%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<=
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_2) t_2))
0.003)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_2) * t_2)) <= 0.003) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))));
} else {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = 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)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2)) <= 0.003) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); 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[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]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 0.003], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\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_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2 \leq 0.003:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \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))))) < 0.0030000000000000001Initial program 69.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6474.2
Applied rewrites74.2%
Taylor expanded in lambda1 around 0
Applied rewrites74.2%
Taylor expanded in phi1 around 0
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
lift-sin.f64N/A
lift-*.f6460.4
Applied rewrites60.4%
Taylor expanded in phi2 around 0
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
lower-*.f6458.9
Applied rewrites58.9%
if 0.0030000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.5%
Applied rewrites61.5%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites61.5%
(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 62.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.1
Applied rewrites63.1%
(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 62.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.1
Applied rewrites63.1%
Taylor expanded in lambda1 around 0
Applied rewrites63.1%
(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 62.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.2
Applied rewrites63.2%
Taylor expanded in lambda1 around 0
Applied rewrites63.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_1
(* (* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_0) t_0)))
(sqrt
(-
1.0
(+
t_1
(*
(* (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_0)
t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt((1.0 - (t_1 + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0) * t_0) * t_0))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0d0) * t_0) * t_0))), sqrt((1.0d0 - (t_1 + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0d0) * t_0) * t_0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + ((((Math.cos((phi1 + phi2)) + Math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), Math.sqrt((1.0 - (t_1 + ((((Math.cos((phi2 + phi1)) + Math.cos((phi2 - phi1))) / 2.0) * t_0) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_1 + ((((math.cos((phi1 + phi2)) + math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), math.sqrt((1.0 - (t_1 + ((((math.cos((phi2 + phi1)) + math.cos((phi2 - phi1))) / 2.0) * t_0) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0) * t_0) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt((t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt((1.0 - (t_1 + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0) * t_0) * t_0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - \left(t\_1 + \left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2} \cdot t\_0\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 62.2%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6462.7
Applied rewrites62.7%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift--.f6463.2
Applied rewrites63.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (sin (/ (- phi1 phi2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow t_2 2.0) (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
1.0
(fma
t_2
t_2
(*
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = sin(t_0);
double t_2 = sin(((phi1 - phi2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(t_2, 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma(t_2, t_2, ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((t_2 ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(t_2, t_2, Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[t$95$2, 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 * t$95$2 + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{t\_2}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(t\_2, t\_2, \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.2%
Applied rewrites62.3%
(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 62.2%
Applied rewrites62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(pow (sin (* 0.5 phi1)) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R)))
(if (<= t_1 -0.045)
t_2
(if (<= t_1 1e-21)
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0) t_1)
t_1)))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), pow(sin((0.5 * phi1)), 2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
double tmp;
if (t_1 <= -0.045) {
tmp = t_2;
} else if (t_1 <= 1e-21) {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0) * t_1) * t_1))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R) tmp = 0.0 if (t_1 <= -0.045) tmp = t_2; elseif (t_1 <= 1e-21) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0) * t_1) * t_1))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = 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]}, If[LessEqual[t$95$1, -0.045], t$95$2, If[LessEqual[t$95$1, 1e-21], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{if}\;t\_1 \leq -0.045:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;t\_1 \leq 10^{-21}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2} \cdot t\_1\right) \cdot t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.044999999999999998 or 9.99999999999999908e-22 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 57.9%
Applied rewrites57.5%
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-*.f6445.3
Applied rewrites45.3%
Taylor expanded in phi2 around 0
Applied rewrites45.5%
if -0.044999999999999998 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 9.99999999999999908e-22Initial program 75.7%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
cos-multN/A
lower-/.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lower--.f6475.7
Applied rewrites75.7%
Taylor expanded in lambda2 around 0
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
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6469.6
Applied rewrites69.6%
Taylor expanded in lambda1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6464.5
Applied rewrites64.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(*
(*
(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 phi1)) (cos (- phi2 phi1))) 2.0)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R)))
(if (<= phi1 -5.6e-10)
t_1
(if (<= phi1 3.4e-9)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
1.0
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = (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 + phi1)) + cos((phi2 - phi1))) / 2.0), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
double tmp;
if (phi1 <= -5.6e-10) {
tmp = t_1;
} else if (phi1 <= 3.4e-9) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0))), sqrt((1.0 - fma(1.0, (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = 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(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) tmp = 0.0 if (phi1 <= -5.6e-10) tmp = t_1; elseif (phi1 <= 3.4e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(1.0, Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))); else tmp = 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[(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[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -5.6e-10], t$95$1, If[LessEqual[phi1, 3.4e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(1.0 * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \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(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -5.6 \cdot 10^{-10}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 3.4 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -5.60000000000000031e-10 or 3.3999999999999998e-9 < phi1 Initial program 47.5%
Applied rewrites47.5%
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-*.f6448.0
Applied rewrites48.0%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
lift-cos.f64N/A
lift-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6449.0
Applied rewrites49.0%
if -5.60000000000000031e-10 < phi1 < 3.3999999999999998e-9Initial program 78.0%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6478.1
Applied rewrites78.1%
Taylor expanded in lambda1 around 0
Applied rewrites78.1%
Taylor expanded in phi1 around 0
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
lift-sin.f64N/A
lift-*.f6476.1
Applied rewrites76.1%
Taylor expanded in phi1 around 0
Applied rewrites76.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(*
(*
(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 phi1)) (cos (- phi2 phi1))) 2.0)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R)))
(if (<= phi1 -5.6e-10)
t_1
(if (<= phi1 3.4e-9)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* 0.5 phi2)) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = (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 + phi1)) + cos((phi2 - phi1))) / 2.0), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
double tmp;
if (phi1 <= -5.6e-10) {
tmp = t_1;
} else if (phi1 <= 3.4e-9) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, pow(sin((0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = 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(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) tmp = 0.0 if (phi1 <= -5.6e-10) tmp = t_1; elseif (phi1 <= 3.4e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = 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[(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[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -5.6e-10], t$95$1, If[LessEqual[phi1, 3.4e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \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(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -5.6 \cdot 10^{-10}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 3.4 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -5.60000000000000031e-10 or 3.3999999999999998e-9 < phi1 Initial program 47.5%
Applied rewrites47.5%
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-*.f6448.0
Applied rewrites48.0%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
lift-cos.f64N/A
lift-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6449.0
Applied rewrites49.0%
if -5.60000000000000031e-10 < phi1 < 3.3999999999999998e-9Initial program 78.0%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6478.1
Applied rewrites78.1%
Taylor expanded in lambda1 around 0
Applied rewrites78.1%
Taylor expanded in phi1 around 0
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
lift-sin.f64N/A
lift-*.f6476.1
Applied rewrites76.1%
Taylor expanded in phi1 around 0
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
lower-*.f6476.1
Applied rewrites76.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(*
(*
(atan2
(sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
1.0
(fma
(/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R)))
(if (<= phi1 -3e-6)
t_1
(if (<= phi1 6.3e-21)
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R)
t_1))))
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 = (atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
double tmp;
if (phi1 <= -3e-6) {
tmp = t_1;
} else if (phi1 <= 6.3e-21) {
tmp = (atan2(sqrt(fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(Float64(atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) tmp = 0.0 if (phi1 <= -3e-6) tmp = t_1; elseif (phi1 <= 6.3e-21) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -3e-6], t$95$1, If[LessEqual[phi1, 6.3e-21], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -3 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 6.3 \cdot 10^{-21}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -3.0000000000000001e-6 or 6.3e-21 < phi1 Initial program 47.9%
Applied rewrites47.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.1
Applied rewrites48.1%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
lift-cos.f64N/A
lift-+.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6449.0
Applied rewrites49.0%
if -3.0000000000000001e-6 < phi1 < 6.3e-21Initial program 78.0%
Applied rewrites72.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6439.1
Applied rewrites39.1%
Taylor expanded in lambda1 around 0
Applied rewrites72.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6472.8
Applied rewrites72.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_2 (fma (cos phi1) t_1 t_0))
(t_3 (sqrt t_2)))
(if (<= phi1 -3e-6)
(* (* (atan2 t_3 (sqrt (- 1.0 t_2))) 2.0) R)
(if (<= phi1 6.3e-21)
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) t_1)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R)
(*
(*
(atan2
t_3
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
t_0))))
2.0)
R)))))
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 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_2 = fma(cos(phi1), t_1, t_0);
double t_3 = sqrt(t_2);
double tmp;
if (phi1 <= -3e-6) {
tmp = (atan2(t_3, sqrt((1.0 - t_2))) * 2.0) * R;
} else if (phi1 <= 6.3e-21) {
tmp = (atan2(sqrt(fma(cos(phi1), (cos(phi2) * t_1), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
} else {
tmp = (atan2(t_3, sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), t_0)))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) ^ 2.0 t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = fma(cos(phi1), t_1, t_0) t_3 = sqrt(t_2) tmp = 0.0 if (phi1 <= -3e-6) tmp = Float64(Float64(atan(t_3, sqrt(Float64(1.0 - t_2))) * 2.0) * R); elseif (phi1 <= 6.3e-21) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * t_1), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R); else tmp = Float64(Float64(atan(t_3, sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), t_0)))) * 2.0) * R); 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[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[t$95$2], $MachinePrecision]}, If[LessEqual[phi1, -3e-6], N[(N[(N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi1, 6.3e-21], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, t\_1, t\_0\right)\\
t_3 := \sqrt{t\_2}\\
\mathbf{if}\;\phi_1 \leq -3 \cdot 10^{-6}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_3}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_1 \leq 6.3 \cdot 10^{-21}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), t\_0\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -3.0000000000000001e-6Initial program 47.7%
Applied rewrites47.7%
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-*.f6448.5
Applied rewrites48.5%
Taylor expanded in phi2 around 0
Applied rewrites49.4%
if -3.0000000000000001e-6 < phi1 < 6.3e-21Initial program 78.0%
Applied rewrites72.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6439.1
Applied rewrites39.1%
Taylor expanded in lambda1 around 0
Applied rewrites72.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6472.8
Applied rewrites72.8%
if 6.3e-21 < phi1 Initial program 48.2%
Applied rewrites48.1%
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-*.f6447.7
Applied rewrites47.7%
Taylor expanded in phi1 around inf
lift-*.f6447.7
Applied rewrites47.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (* (cos phi2) t_0))
(t_2 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_3 (* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 2.0) R))
(t_4 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (<= phi1 -47000.0)
t_3
(if (<= phi1 1.6e+23)
(*
(*
(atan2
(sqrt (fma 1.0 t_1 t_4))
(sqrt (- 1.0 (fma (cos phi1) t_1 t_4))))
2.0)
R)
t_3))))
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 = cos(phi2) * t_0;
double t_2 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_3 = (atan2(sqrt(t_2), sqrt((1.0 - t_2))) * 2.0) * R;
double t_4 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if (phi1 <= -47000.0) {
tmp = t_3;
} else if (phi1 <= 1.6e+23) {
tmp = (atan2(sqrt(fma(1.0, t_1, t_4)), sqrt((1.0 - fma(cos(phi1), t_1, t_4)))) * 2.0) * R;
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(cos(phi2) * t_0) t_2 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_3 = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) * 2.0) * R) t_4 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if (phi1 <= -47000.0) tmp = t_3; elseif (phi1 <= 1.6e+23) tmp = Float64(Float64(atan(sqrt(fma(1.0, t_1, t_4)), sqrt(Float64(1.0 - fma(cos(phi1), t_1, t_4)))) * 2.0) * R); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -47000.0], t$95$3, If[LessEqual[phi1, 1.6e+23], N[(N[(N[ArcTan[N[Sqrt[N[(1.0 * t$95$1 + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$3]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_2 \cdot t\_0\\
t_2 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_3 := \left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
t_4 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -47000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.6 \cdot 10^{+23}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, t\_1, t\_4\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, t\_4\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -47000 or 1.6e23 < phi1 Initial program 47.0%
Applied rewrites47.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.9
Applied rewrites47.9%
Taylor expanded in phi2 around 0
Applied rewrites48.8%
if -47000 < phi1 < 1.6e23Initial program 76.1%
Applied rewrites71.4%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6440.2
Applied rewrites40.2%
Taylor expanded in lambda1 around 0
Applied rewrites71.4%
Taylor expanded in phi1 around 0
Applied rewrites70.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)))
(if (<= phi1 -3e-6)
t_2
(if (<= phi1 6.3e-21)
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R)
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
double tmp;
if (phi1 <= -3e-6) {
tmp = t_2;
} else if (phi1 <= 6.3e-21) {
tmp = (atan2(sqrt(fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R) tmp = 0.0 if (phi1 <= -3e-6) tmp = t_2; elseif (phi1 <= 6.3e-21) tmp = Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -3e-6], t$95$2, If[LessEqual[phi1, 6.3e-21], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -3 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 6.3 \cdot 10^{-21}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -3.0000000000000001e-6 or 6.3e-21 < phi1 Initial program 47.9%
Applied rewrites47.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.1
Applied rewrites48.1%
Taylor expanded in phi2 around 0
Applied rewrites48.9%
if -3.0000000000000001e-6 < phi1 < 6.3e-21Initial program 78.0%
Applied rewrites72.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6439.1
Applied rewrites39.1%
Taylor expanded in lambda1 around 0
Applied rewrites72.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6472.8
Applied rewrites72.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_2
(*
(*
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_1)))
2.0)
R)))
(if (<= phi2 -510000000000.0)
t_2
(if (<= phi2 0.00058)
(*
(*
(atan2
(sqrt t_1)
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_2 = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_1))) * 2.0) * R;
double tmp;
if (phi2 <= -510000000000.0) {
tmp = t_2;
} else if (phi2 <= 0.00058) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_2 = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_1))) * 2.0) * R) tmp = 0.0 if (phi2 <= -510000000000.0) tmp = t_2; elseif (phi2 <= 0.00058) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi2, -510000000000.0], t$95$2, If[LessEqual[phi2, 0.00058], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_2 \leq -510000000000:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 0.00058:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -5.1e11 or 5.8e-4 < phi2 Initial program 47.5%
Applied rewrites47.5%
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-*.f6418.3
Applied rewrites18.3%
Taylor expanded in lambda1 around 0
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.3
Applied rewrites48.3%
if -5.1e11 < phi2 < 5.8e-4Initial program 76.4%
Applied rewrites71.5%
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-*.f6468.5
Applied rewrites68.5%
Taylor expanded in lambda1 around 0
Applied rewrites71.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6470.8
Applied rewrites70.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)))
(if (<= phi1 -5.6e-10)
t_2
(if (<= phi1 6.3e-21)
(*
(*
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
2.0)
R)
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
double tmp;
if (phi1 <= -5.6e-10) {
tmp = t_2;
} else if (phi1 <= 6.3e-21) {
tmp = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))))) * 2.0) * R;
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R) tmp = 0.0 if (phi1 <= -5.6e-10) tmp = t_2; elseif (phi1 <= 6.3e-21) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))) * 2.0) * R); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -5.6e-10], t$95$2, If[LessEqual[phi1, 6.3e-21], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -5.6 \cdot 10^{-10}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 6.3 \cdot 10^{-21}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -5.60000000000000031e-10 or 6.3e-21 < phi1 Initial program 48.0%
Applied rewrites48.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.1
Applied rewrites48.1%
Taylor expanded in phi2 around 0
Applied rewrites49.0%
if -5.60000000000000031e-10 < phi1 < 6.3e-21Initial program 78.1%
Applied rewrites72.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6439.1
Applied rewrites39.1%
Taylor expanded in lambda1 around 0
Applied rewrites72.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6471.0
Applied rewrites71.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt t_0)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) 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 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6463.1
Applied rewrites63.1%
Taylor expanded in lambda1 around 0
Applied rewrites63.1%
Taylor expanded in phi1 around 0
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
lift-sin.f64N/A
lift-*.f6446.6
Applied rewrites46.6%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.4
Applied rewrites29.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(*
(atan2
(sqrt
(fma
(cos phi1)
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))
(* 0.25 (* phi1 phi1))))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (atan2(sqrt(fma(cos(phi1), (0.5 - (0.5 * cos((lambda1 - lambda2)))), (0.25 * (phi1 * phi1)))), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(atan(sqrt(fma(cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))), Float64(0.25 * Float64(phi1 * phi1)))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]
\begin{array}{l}
\\
\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right), 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
Initial program 62.2%
Applied rewrites59.7%
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-*.f6443.8
Applied rewrites43.8%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6428.7
Applied rewrites28.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(*
(atan2
(sqrt (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(sqrt
(-
1.0
(fma
(/ (+ (cos (+ phi2 phi1)) (cos (- phi2 phi1))) 2.0)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (atan2(sqrt((0.5 - (0.5 * cos((lambda1 - lambda2))))), sqrt((1.0 - fma(((cos((phi2 + phi1)) + cos((phi2 - phi1))) / 2.0), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), sqrt(Float64(1.0 - fma(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) / 2.0), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]
\begin{array}{l}
\\
\left(\tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\frac{\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)}{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
Initial program 62.2%
Applied rewrites59.7%
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-*.f6443.8
Applied rewrites43.8%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6426.4
Applied rewrites26.4%
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-mult-revN/A
cos-sum-revN/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-+.f64N/A
lift-/.f6427.0
Applied rewrites26.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(*
(atan2
(sqrt (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(sqrt
(-
1.0
(+
(*
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0))))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (atan2(sqrt((0.5 - (0.5 * cos((lambda1 - lambda2))))), sqrt((1.0 - (((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))))) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
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 = (atan2(sqrt((0.5d0 - (0.5d0 * cos((lambda1 - lambda2))))), sqrt((1.0d0 - (((cos(phi2) * cos(phi1)) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))))) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))))) * 2.0d0) * r
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (Math.atan2(Math.sqrt((0.5 - (0.5 * Math.cos((lambda1 - lambda2))))), Math.sqrt((1.0 - (((Math.cos(phi2) * Math.cos(phi1)) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))))) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
def code(R, lambda1, lambda2, phi1, phi2): return (math.atan2(math.sqrt((0.5 - (0.5 * math.cos((lambda1 - lambda2))))), math.sqrt((1.0 - (((math.cos(phi2) * math.cos(phi1)) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))))) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), sqrt(Float64(1.0 - Float64(Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))))) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (atan2(sqrt((0.5 - (0.5 * cos((lambda1 - lambda2))))), sqrt((1.0 - (((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))))) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(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]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]
\begin{array}{l}
\\
\left(\tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)}}{\sqrt{1 - \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
Initial program 62.2%
Applied rewrites59.7%
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-*.f6443.8
Applied rewrites43.8%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6426.4
Applied rewrites26.4%
Applied rewrites26.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(*
(atan2
(sqrt (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))
2.0)
R))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (atan2(sqrt((0.5 - (0.5 * cos((lambda1 - lambda2))))), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]
\begin{array}{l}
\\
\left(\tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
Initial program 62.2%
Applied rewrites59.7%
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-*.f6443.8
Applied rewrites43.8%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6426.4
Applied rewrites26.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(*
(*
(atan2
(sqrt t_0)
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
return (atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 62.2%
Applied rewrites59.7%
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-*.f6443.8
Applied rewrites43.8%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6426.4
Applied rewrites26.4%
Taylor expanded in phi1 around 0
cos-mult-revN/A
cos-sum-revN/A
Applied rewrites26.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(*
(*
(atan2
(sqrt t_0)
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
return (atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 62.2%
Applied rewrites59.7%
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-*.f6443.8
Applied rewrites43.8%
Taylor expanded in phi1 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6426.4
Applied rewrites26.4%
Taylor expanded in phi2 around 0
cos-mult-revN/A
cos-sum-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites26.6%
herbie shell --seed 2025093
(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))))))))))