
(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 29 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 phi2) 2.0)) 2.0)
(*
(*
(/
(+
(- (* (cos phi1) (cos phi2)) (* (sin phi1) (sin phi2)))
(cos (- phi1 phi2)))
2.0)
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)) - (sin(phi1) * sin(phi2))) + cos((phi1 - phi2))) / 2.0) * 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)) - (sin(phi1) * sin(phi2))) + cos((phi1 - phi2))) / 2.0d0) * 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)) - (Math.sin(phi1) * Math.sin(phi2))) + Math.cos((phi1 - phi2))) / 2.0) * 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)) - (math.sin(phi1) * math.sin(phi2))) + math.cos((phi1 - phi2))) / 2.0) * 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(Float64(Float64(Float64(cos(phi1) * cos(phi2)) - Float64(sin(phi1) * sin(phi2))) + cos(Float64(phi1 - phi2))) / 2.0) * 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)) - (sin(phi1) * sin(phi2))) + cos((phi1 - phi2))) / 2.0) * 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[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $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(\frac{\left(\cos \phi_1 \cdot \cos \phi_2 - \sin \phi_1 \cdot \sin \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \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 62.3%
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--.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%
lift-+.f64N/A
lift-cos.f64N/A
cos-sumN/A
lower--.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6463.3
Applied rewrites63.3%
lift-+.f64N/A
lift-cos.f64N/A
cos-sumN/A
lower--.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6463.6
Applied rewrites63.6%
(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 phi2)) (cos (- phi1 phi2))) 2.0) 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 + phi2)) + cos((phi1 - phi2))) / 2.0) * 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 + phi2)) + cos((phi1 - phi2))) / 2.0d0) * 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 + phi2)) + Math.cos((phi1 - phi2))) / 2.0) * 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 + phi2)) + math.cos((phi1 - phi2))) / 2.0) * 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(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * 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 + phi2)) + cos((phi1 - phi2))) / 2.0) * 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[(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]}, 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(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \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 62.3%
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--.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 (sin (* 0.5 (- lambda1 lambda2))))
(t_1 (pow t_0 2.0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (pow (sin (* 0.5 phi1)) 2.0))
(t_4 (+ (* t_1 (cos phi1)) t_3))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (+ t_2 (* (* t_0 (cos phi2)) t_5))))
(if (<= phi1 -0.0055)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= phi1 4.8e-6)
(* R (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_6)))))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_5)
t_5)))
(sqrt (- 1.0 (fma (cos phi1) t_1 t_3))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (lambda1 - lambda2)));
double t_1 = pow(t_0, 2.0);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = pow(sin((0.5 * phi1)), 2.0);
double t_4 = (t_1 * cos(phi1)) + t_3;
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = t_2 + ((t_0 * cos(phi2)) * t_5);
double tmp;
if (phi1 <= -0.0055) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (phi1 <= 4.8e-6) {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_6))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_2 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_5) * t_5))), sqrt((1.0 - fma(cos(phi1), t_1, t_3)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_1 = t_0 ^ 2.0 t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = sin(Float64(0.5 * phi1)) ^ 2.0 t_4 = Float64(Float64(t_1 * cos(phi1)) + t_3) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(t_2 + Float64(Float64(t_0 * cos(phi2)) * t_5)) tmp = 0.0 if (phi1 <= -0.0055) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (phi1 <= 4.8e-6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_6))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_5) * t_5))), sqrt(Float64(1.0 - fma(cos(phi1), t_1, t_3)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[t$95$0, 2.0], $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[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0055], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 4.8e-6], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$5), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$3), $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)\\
t_1 := {t\_0}^{2}\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_4 := t\_1 \cdot \cos \phi_1 + t\_3\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := t\_2 + \left(t\_0 \cdot \cos \phi_2\right) \cdot t\_5\\
\mathbf{if}\;\phi_1 \leq -0.0055:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\phi_1 \leq 4.8 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_5\right) \cdot t\_5}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, t\_3\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0054999999999999997Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites46.5%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites46.5%
if -0.0054999999999999997 < phi1 < 4.7999999999999998e-6Initial program 62.3%
Taylor expanded in phi1 around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-*.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.5
Applied rewrites53.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-*.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6451.5
Applied rewrites51.5%
if 4.7999999999999998e-6 < phi1 Initial program 62.3%
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--.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%
Taylor expanded in phi2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (- lambda1 lambda2))))
(t_1 (pow t_0 2.0))
(t_2
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* t_0 (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0)))))
(t_3 (pow (sin (* 0.5 phi1)) 2.0))
(t_4 (fma t_1 (cos phi1) t_3))
(t_5 (+ (* t_1 (cos phi1)) t_3)))
(if (<= phi1 -0.0055)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= phi1 6.2e-6)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (lambda1 - lambda2)));
double t_1 = pow(t_0, 2.0);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * cos(phi2)) * sin(((lambda1 - lambda2) / 2.0)));
double t_3 = pow(sin((0.5 * phi1)), 2.0);
double t_4 = fma(t_1, cos(phi1), t_3);
double t_5 = (t_1 * cos(phi1)) + t_3;
double tmp;
if (phi1 <= -0.0055) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (phi1 <= 6.2e-6) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_1 = t_0 ^ 2.0 t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * cos(phi2)) * sin(Float64(Float64(lambda1 - lambda2) / 2.0)))) t_3 = sin(Float64(0.5 * phi1)) ^ 2.0 t_4 = fma(t_1, cos(phi1), t_3) t_5 = Float64(Float64(t_1 * cos(phi1)) + t_3) tmp = 0.0 if (phi1 <= -0.0055) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (phi1 <= 6.2e-6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[t$95$0, 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[phi1, -0.0055], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.2e-6], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $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)\\
t_1 := {t\_0}^{2}\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot \cos \phi_2\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_4 := \mathsf{fma}\left(t\_1, \cos \phi_1, t\_3\right)\\
t_5 := t\_1 \cdot \cos \phi_1 + t\_3\\
\mathbf{if}\;\phi_1 \leq -0.0055:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.2 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0054999999999999997Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites46.5%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites46.5%
if -0.0054999999999999997 < phi1 < 6.1999999999999999e-6Initial program 62.3%
Taylor expanded in phi1 around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-*.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.5
Applied rewrites53.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-*.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6451.5
Applied rewrites51.5%
if 6.1999999999999999e-6 < phi1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_0 (cos phi2))))
(t_2 (pow (sin (* 0.5 phi1)) 2.0))
(t_3 (fma t_0 (cos phi1) t_2))
(t_4 (+ (* t_0 (cos phi1)) t_2)))
(if (<= phi1 -0.0055)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= phi1 6.2e-6)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * cos(phi2));
double t_2 = pow(sin((0.5 * phi1)), 2.0);
double t_3 = fma(t_0, cos(phi1), t_2);
double t_4 = (t_0 * cos(phi1)) + t_2;
double tmp;
if (phi1 <= -0.0055) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (phi1 <= 6.2e-6) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * cos(phi2))) t_2 = sin(Float64(0.5 * phi1)) ^ 2.0 t_3 = fma(t_0, cos(phi1), t_2) t_4 = Float64(Float64(t_0 * cos(phi1)) + t_2) tmp = 0.0 if (phi1 <= -0.0055) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (phi1 <= 6.2e-6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); 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[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[phi1, -0.0055], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.2e-6], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \cos \phi_2\\
t_2 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_3 := \mathsf{fma}\left(t\_0, \cos \phi_1, t\_2\right)\\
t_4 := t\_0 \cdot \cos \phi_1 + t\_2\\
\mathbf{if}\;\phi_1 \leq -0.0055:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.2 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0054999999999999997Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites46.5%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites46.5%
if -0.0054999999999999997 < phi1 < 6.1999999999999999e-6Initial program 62.3%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.5
Applied rewrites53.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6451.5
Applied rewrites51.5%
if 6.1999999999999999e-6 < phi1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_0 (cos phi1))))
(t_2 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -0.0062)
t_3
(if (<= phi2 1.3e+38)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * cos(phi1));
double t_2 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -0.0062) {
tmp = t_3;
} else if (phi2 <= 1.3e+38) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * cos(phi1))) t_2 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -0.0062) tmp = t_3; elseif (phi2 <= 1.3e+38) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; 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[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.0062], t$95$3, If[LessEqual[phi2, 1.3e+38], 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], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \cos \phi_1\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -0.0062:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 1.3 \cdot 10^{+38}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -0.00619999999999999978 or 1.3e38 < phi2 Initial program 62.3%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.2%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.3%
if -0.00619999999999999978 < phi2 < 1.3e38Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.6
Applied rewrites53.6%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6451.5
Applied rewrites51.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -1.25e-7)
t_3
(if (<= phi2 1.3e+38)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -1.25e-7) {
tmp = t_3;
} else if (phi2 <= 1.3e+38) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -1.25e-7) tmp = t_3; elseif (phi2 <= 1.3e+38) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.25e-7], t$95$3, If[LessEqual[phi2, 1.3e+38], 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], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -1.25 \cdot 10^{-7}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 1.3 \cdot 10^{+38}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -1.24999999999999994e-7 or 1.3e38 < phi2 Initial program 62.3%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.2%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.3%
if -1.24999999999999994e-7 < phi2 < 1.3e38Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
(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 phi1) (cos phi2)) t_0) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0d0) * t_0) * t_0))), sqrt((1.0d0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + ((((Math.cos((phi1 + phi2)) + Math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), Math.sqrt((1.0 - (t_1 + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_1 + ((((math.cos((phi1 + phi2)) + math.cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), math.sqrt((1.0 - (t_1 + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt((t_1 + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[(N[(N[(N[Cos[N[(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[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \left(\frac{\cos \left(\phi_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(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 62.3%
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--.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%
Applied rewrites62.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (fma 0.5 (* t_1 (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2)))) t_0))
(sqrt (- 1.0 (fma (cos phi1) (* (cos phi2) t_1) t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(0.5, (t_1 * (cos((phi1 + phi2)) + cos((phi1 - phi2)))), t_0)), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_1), t_0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(0.5, Float64(t_1 * Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2)))), t_0)), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_1), t_0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(0.5 * N[(t$95$1 * N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_1 := {\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(0.5, t\_1 \cdot \left(\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)\right), t\_0\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
Applied rewrites62.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(* (cos phi2) (cos phi1))
(pow (sin (* (+ lambda2 (- lambda1)) -0.5)) 2.0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((cos(phi2) * cos(phi1)), pow(sin(((lambda2 + -lambda1) * -0.5)), 2.0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(cos(phi2) * cos(phi1)), (sin(Float64(Float64(lambda2 + Float64(-lambda1)) * -0.5)) ^ 2.0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(N[(lambda2 + (-lambda1)), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, {\sin \left(\left(\lambda_2 + \left(-\lambda_1\right)\right) \cdot -0.5\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.3%
Taylor expanded in lambda1 around -inf
Applied rewrites62.3%
Taylor expanded in lambda1 around -inf
Applied rewrites62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_1 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(* (* (atan2 (sqrt (+ t_1 t_0)) (sqrt (- (- 1.0 t_1) t_0))) 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) * cos(phi2)) * cos(phi1);
double t_1 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
return (atan2(sqrt((t_1 + t_0)), sqrt(((1.0 - t_1) - t_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
real(8) :: t_0
real(8) :: t_1
t_0 = ((sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0) * cos(phi2)) * cos(phi1)
t_1 = sin((0.5d0 * (phi1 - phi2))) ** 2.0d0
code = (atan2(sqrt((t_1 + t_0)), sqrt(((1.0d0 - t_1) - t_0))) * 2.0d0) * r
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0) * Math.cos(phi2)) * Math.cos(phi1);
double t_1 = Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0);
return (Math.atan2(Math.sqrt((t_1 + t_0)), Math.sqrt(((1.0 - t_1) - t_0))) * 2.0) * R;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) * math.cos(phi2)) * math.cos(phi1) t_1 = math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0) return (math.atan2(math.sqrt((t_1 + t_0)), math.sqrt(((1.0 - t_1) - t_0))) * 2.0) * R
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_1 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 return Float64(Float64(atan(sqrt(Float64(t_1 + t_0)), sqrt(Float64(Float64(1.0 - t_1) - t_0))) * 2.0) * R) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((sin((0.5 * (lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1); t_1 = sin((0.5 * (phi1 - phi2))) ^ 2.0; tmp = (atan2(sqrt((t_1 + t_0)), sqrt(((1.0 - t_1) - t_0))) * 2.0) * R; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[N[(t$95$1 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_1 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\left(\tan^{-1}_* \frac{\sqrt{t\_1 + t\_0}}{\sqrt{\left(1 - t\_1\right) - t\_0}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 62.3%
Applied rewrites62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1))
(t_3 (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
(if (<= t_1 -2.0)
t_3
(if (<= t_1 2e+41)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_2)
t_2)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
double t_3 = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
double tmp;
if (t_1 <= -2.0) {
tmp = t_3;
} else if (t_1 <= 2e+41) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_2) * t_2))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) tmp = 0.0 if (t_1 <= -2.0) tmp = t_3; elseif (t_1 <= 2e+41) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_2) * t_2))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -2.0], t$95$3, If[LessEqual[t$95$1, 2e+41], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{if}\;t\_1 \leq -2:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+41}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_2\right) \cdot t\_2}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -2 or 2.00000000000000001e41 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
if -2 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 2.00000000000000001e41Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.7
Applied rewrites35.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (* 0.5 phi1)) 2.0))
(t_2 (fma (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1) t_1))
(t_3 (pow (sin (* 0.5 lambda1)) 2.0))
(t_4 (fma t_3 (cos phi1) t_1)))
(if (<= lambda1 -4.4e-7)
(*
R
(*
2.0
(atan2
(sqrt (fma (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi1) t_1))
(sqrt (- 1.0 (fma (cos phi1) t_3 t_1))))))
(if (<= lambda1 -1.6e-231)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(if (<= lambda1 5.8e+23)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_0)
t_0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))))))))))
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((0.5 * phi1)), 2.0);
double t_2 = fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), t_1);
double t_3 = pow(sin((0.5 * lambda1)), 2.0);
double t_4 = fma(t_3, cos(phi1), t_1);
double tmp;
if (lambda1 <= -4.4e-7) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), t_1)), sqrt((1.0 - fma(cos(phi1), t_3, t_1)))));
} else if (lambda1 <= -1.6e-231) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else if (lambda1 <= 5.8e+23) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(0.5 * phi1)) ^ 2.0 t_2 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), t_1) t_3 = sin(Float64(0.5 * lambda1)) ^ 2.0 t_4 = fma(t_3, cos(phi1), t_1) tmp = 0.0 if (lambda1 <= -4.4e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), t_1)), sqrt(Float64(1.0 - fma(cos(phi1), t_3, t_1)))))); elseif (lambda1 <= -1.6e-231) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); elseif (lambda1 <= 5.8e+23) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[Cos[phi1], $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[lambda1, -4.4e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$3 + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, -1.6e-231], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 5.8e+23], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(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[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $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(0.5 \cdot \phi_1\right)}^{2}\\
t_2 := \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, t\_1\right)\\
t_3 := {\sin \left(0.5 \cdot \lambda_1\right)}^{2}\\
t_4 := \mathsf{fma}\left(t\_3, \cos \phi_1, t\_1\right)\\
\mathbf{if}\;\lambda_1 \leq -4.4 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_3, t\_1\right)}}\right)\\
\mathbf{elif}\;\lambda_1 \leq -1.6 \cdot 10^{-231}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 5.8 \cdot 10^{+23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\end{array}
\end{array}
if lambda1 < -4.4000000000000002e-7Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6437.0
Applied rewrites37.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6437.2
Applied rewrites37.2%
if -4.4000000000000002e-7 < lambda1 < -1.60000000000000004e-231Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda1 around 0
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6433.9
Applied rewrites33.9%
Taylor expanded in lambda1 around 0
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6433.7
Applied rewrites33.7%
if -1.60000000000000004e-231 < lambda1 < 5.80000000000000025e23Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.7
Applied rewrites35.7%
if 5.80000000000000025e23 < lambda1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6433.9
Applied rewrites33.9%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6433.7
Applied rewrites33.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1 (fma (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1) t_0))
(t_2 (fma (pow (sin (* 0.5 lambda1)) 2.0) (cos phi1) t_0))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))))))
(t_4 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= lambda1 -6.2e-6)
t_3
(if (<= lambda1 -1.6e-231)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(if (<= lambda1 5.8e+23)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_4)
t_4)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
t_3)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * phi1)), 2.0);
double t_1 = fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), t_0);
double t_2 = fma(pow(sin((0.5 * lambda1)), 2.0), cos(phi1), t_0);
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (lambda1 <= -6.2e-6) {
tmp = t_3;
} else if (lambda1 <= -1.6e-231) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else if (lambda1 <= 5.8e+23) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_4) * t_4))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) ^ 2.0 t_1 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), t_0) t_2 = fma((sin(Float64(0.5 * lambda1)) ^ 2.0), cos(phi1), t_0) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (lambda1 <= -6.2e-6) tmp = t_3; elseif (lambda1 <= -1.6e-231) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); elseif (lambda1 <= 5.8e+23) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_4) * t_4))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -6.2e-6], t$95$3, If[LessEqual[lambda1, -1.6e-231], 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], If[LessEqual[lambda1, 5.8e+23], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_1 := \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, t\_0\right)\\
t_2 := \mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \cos \phi_1, t\_0\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -6.2 \cdot 10^{-6}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_1 \leq -1.6 \cdot 10^{-231}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 5.8 \cdot 10^{+23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_4\right) \cdot t\_4}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda1 < -6.1999999999999999e-6 or 5.80000000000000025e23 < lambda1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6433.9
Applied rewrites33.9%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6433.7
Applied rewrites33.7%
if -6.1999999999999999e-6 < lambda1 < -1.60000000000000004e-231Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda1 around 0
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6433.9
Applied rewrites33.9%
Taylor expanded in lambda1 around 0
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6433.7
Applied rewrites33.7%
if -1.60000000000000004e-231 < lambda1 < 5.80000000000000025e23Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.7
Applied rewrites35.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(fma
(pow (sin (* -0.5 lambda2)) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= lambda2 -4e+61)
t_2
(if (<= lambda2 1.88e+53)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_0)
t_0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (lambda2 <= -4e+61) {
tmp = t_2;
} else if (lambda2 <= 1.88e+53) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (lambda2 <= -4e+61) tmp = t_2; elseif (lambda2 <= 1.88e+53) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_0) * t_0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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]}, If[LessEqual[lambda2, -4e+61], t$95$2, If[LessEqual[lambda2, 1.88e+53], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(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[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\lambda_2 \leq -4 \cdot 10^{+61}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_2 \leq 1.88 \cdot 10^{+53}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda2 < -3.9999999999999998e61 or 1.88e53 < lambda2 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda1 around 0
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6433.9
Applied rewrites33.9%
Taylor expanded in lambda1 around 0
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6433.7
Applied rewrites33.7%
if -3.9999999999999998e61 < lambda2 < 1.88e53Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.7
Applied rewrites35.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= t_1 0.05)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_1) t_1)))
(sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(* 0.25 (* phi1 phi1))))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (t_1 <= 0.05) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_1) * t_1))), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), (0.25 * (phi1 * phi1)))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (t_1 <= 0.05) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_1) * t_1))), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), Float64(0.25 * Float64(phi1 * phi1)))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), t_0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 0.05], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_1 \leq 0.05:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0\right)}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.050000000000000003Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.7
Applied rewrites35.7%
if 0.050000000000000003 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6437.0
Applied rewrites37.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6427.2
Applied rewrites27.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (<= t_0 2e+50)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (/ (+ (cos (+ phi1 phi2)) (cos (- phi1 phi2))) 2.0) t_1) t_1)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt (fma -0.5 (* phi1 phi2) t_2))
(sqrt (- 1.0 (fma (cos phi2) t_2 (pow (sin (* -0.5 phi2)) 2.0))))))))))
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((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if (t_0 <= 2e+50) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((((cos((phi1 + phi2)) + cos((phi1 - phi2))) / 2.0) * t_1) * t_1))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(-0.5, (phi1 * phi2), t_2)), sqrt((1.0 - fma(cos(phi2), t_2, pow(sin((-0.5 * phi2)), 2.0))))));
}
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(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if (t_0 <= 2e+50) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi1 - phi2))) / 2.0) * t_1) * t_1))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(-0.5, Float64(phi1 * phi2), t_2)), sqrt(Float64(1.0 - fma(cos(phi2), t_2, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); 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[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t$95$0, 2e+50], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(-0.5 * N[(phi1 * phi2), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$2 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;t\_0 \leq 2 \cdot 10^{+50}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\frac{\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_1 - \phi_2\right)}{2} \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 2.0000000000000002e50Initial program 62.3%
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--.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%
Taylor expanded in lambda2 around 0
cos-mult-revN/A
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites49.4%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.7
Applied rewrites35.7%
if 2.0000000000000002e50 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6426.2
Applied rewrites26.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (sin t_0)))
(if (<= t_0 2e+41)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt (fma -0.5 (* phi1 phi2) t_1))
(sqrt (- 1.0 (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sin(t_0);
double tmp;
if (t_0 <= 2e+41) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_2) * t_2))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(-0.5, (phi1 * phi2), t_1)), sqrt((1.0 - fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = sin(t_0) tmp = 0.0 if (t_0 <= 2e+41) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(-0.5, Float64(phi1 * phi2), t_1)), sqrt(Float64(1.0 - fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$0], $MachinePrecision]}, If[LessEqual[t$95$0, 2e+41], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(-0.5 * N[(phi1 * phi2), $MachinePrecision] + t$95$1), $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]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \sin t\_0\\
\mathbf{if}\;t\_0 \leq 2 \cdot 10^{+41}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 2.00000000000000001e41Initial program 62.3%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites48.6%
Taylor expanded in lambda2 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6435.2
Applied rewrites35.2%
if 2.00000000000000001e41 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6426.2
Applied rewrites26.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))
(t_2
(fma
t_0
(cos phi1)
(*
(* phi1 phi1)
(+
0.25
(*
(* phi1 phi1)
(-
(* 0.0006944444444444445 (* phi1 phi1))
0.020833333333333332)))))))
(if (<= phi1 -0.118)
t_1
(if (<= phi1 0.32)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
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 = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
double t_2 = fma(t_0, cos(phi1), ((phi1 * phi1) * (0.25 + ((phi1 * phi1) * ((0.0006944444444444445 * (phi1 * phi1)) - 0.020833333333333332)))));
double tmp;
if (phi1 <= -0.118) {
tmp = t_1;
} else if (phi1 <= 0.32) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} 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(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))) t_2 = fma(t_0, cos(phi1), Float64(Float64(phi1 * phi1) * Float64(0.25 + Float64(Float64(phi1 * phi1) * Float64(Float64(0.0006944444444444445 * Float64(phi1 * phi1)) - 0.020833333333333332))))) tmp = 0.0 if (phi1 <= -0.118) tmp = t_1; elseif (phi1 <= 0.32) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); 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[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * N[(0.25 + N[(N[(phi1 * phi1), $MachinePrecision] * N[(N[(0.0006944444444444445 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision] - 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.118], t$95$1, If[LessEqual[phi1, 0.32], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $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 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_1, \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.25 + \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.0006944444444444445 \cdot \left(\phi_1 \cdot \phi_1\right) - 0.020833333333333332\right)\right)\right)\\
\mathbf{if}\;\phi_1 \leq -0.118:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 0.32:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -0.11799999999999999 or 0.320000000000000007 < phi1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6437.0
Applied rewrites37.0%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6427.9
Applied rewrites27.9%
if -0.11799999999999999 < phi1 < 0.320000000000000007Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6432.3
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6422.9
Applied rewrites22.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))
(t_2
(fma
t_0
(cos phi1)
(* (* phi1 phi1) (+ 0.25 (* -0.020833333333333332 (* phi1 phi1)))))))
(if (<= phi1 -0.032)
t_1
(if (<= phi1 0.025)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
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 = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
double t_2 = fma(t_0, cos(phi1), ((phi1 * phi1) * (0.25 + (-0.020833333333333332 * (phi1 * phi1)))));
double tmp;
if (phi1 <= -0.032) {
tmp = t_1;
} else if (phi1 <= 0.025) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} 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(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))) t_2 = fma(t_0, cos(phi1), Float64(Float64(phi1 * phi1) * Float64(0.25 + Float64(-0.020833333333333332 * Float64(phi1 * phi1))))) tmp = 0.0 if (phi1 <= -0.032) tmp = t_1; elseif (phi1 <= 0.025) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); 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[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * N[(0.25 + N[(-0.020833333333333332 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.032], t$95$1, If[LessEqual[phi1, 0.025], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $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 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_1, \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.25 + -0.020833333333333332 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\right)\\
\mathbf{if}\;\phi_1 \leq -0.032:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 0.025:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -0.032000000000000001 or 0.025000000000000001 < phi1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6437.0
Applied rewrites37.0%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6427.9
Applied rewrites27.9%
if -0.032000000000000001 < phi1 < 0.025000000000000001Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6422.9
Applied rewrites22.9%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6422.9
Applied rewrites22.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))))
(t_2 (fma t_0 (cos phi1) (* 0.25 (* phi1 phi1)))))
(if (<= phi1 -3.6e-28)
t_1
(if (<= phi1 0.0125)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
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 = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
double t_2 = fma(t_0, cos(phi1), (0.25 * (phi1 * phi1)));
double tmp;
if (phi1 <= -3.6e-28) {
tmp = t_1;
} else if (phi1 <= 0.0125) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} 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(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))) t_2 = fma(t_0, cos(phi1), Float64(0.25 * Float64(phi1 * phi1))) tmp = 0.0 if (phi1 <= -3.6e-28) tmp = t_1; elseif (phi1 <= 0.0125) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); 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[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -3.6e-28], t$95$1, If[LessEqual[phi1, 0.0125], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $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 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_1, 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\\
\mathbf{if}\;\phi_1 \leq -3.6 \cdot 10^{-28}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 0.0125:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -3.5999999999999999e-28 or 0.012500000000000001 < phi1 Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6437.0
Applied rewrites37.0%
Taylor expanded in lambda1 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6427.9
Applied rewrites27.9%
if -3.5999999999999999e-28 < phi1 < 0.012500000000000001Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.8
Applied rewrites22.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(* 0.25 (* phi1 phi1))))
(t_1 (sqrt (* -0.5 (* phi1 phi2))))
(t_2 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(if (<= phi1 -1400.0)
(*
R
(*
2.0
(atan2
t_1
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
t_2))))))
(if (<= phi1 2.6)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
t_1
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
t_2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), (0.25 * (phi1 * phi1)));
double t_1 = sqrt((-0.5 * (phi1 * phi2)));
double t_2 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double tmp;
if (phi1 <= -1400.0) {
tmp = R * (2.0 * atan2(t_1, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), t_2)))));
} else if (phi1 <= 2.6) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(t_1, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), t_2)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), Float64(0.25 * Float64(phi1 * phi1))) t_1 = sqrt(Float64(-0.5 * Float64(phi1 * phi2))) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 tmp = 0.0 if (phi1 <= -1400.0) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), t_2)))))); elseif (phi1 <= 2.6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_2)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(-0.5 * N[(phi1 * phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -1400.0], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 2.6], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\\
t_1 := \sqrt{-0.5 \cdot \left(\phi_1 \cdot \phi_2\right)}\\
t_2 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -1400:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_2\right)}}\right)\\
\mathbf{elif}\;\phi_1 \leq 2.6:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_2\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -1400Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in lambda2 around 0
lower-sqrt.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
Applied rewrites7.0%
if -1400 < phi1 < 2.60000000000000009Initial program 62.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.8
Applied rewrites22.8%
if 2.60000000000000009 < phi1 Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f647.1
Applied rewrites7.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma -0.5 (* phi1 phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (- 1.0 t_0)))
(if (<= t_1 -1e+15)
(* R (* 2.0 (atan2 (pow t_0 0.5) (sqrt t_2))))
(if (<= t_1 5e-96)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (* -0.5 (* phi1 phi2)))))))
(* R (* 2.0 (atan2 (sqrt t_0) (pow t_2 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(-0.5, (phi1 * phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = 1.0 - t_0;
double tmp;
if (t_1 <= -1e+15) {
tmp = R * (2.0 * atan2(pow(t_0, 0.5), sqrt(t_2)));
} else if (t_1 <= 5e-96) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (-0.5 * (phi1 * phi2))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_0), pow(t_2, 0.5)));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(-0.5, Float64(phi1 * phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = Float64(1.0 - t_0) tmp = 0.0 if (t_1 <= -1e+15) tmp = Float64(R * Float64(2.0 * atan((t_0 ^ 0.5), sqrt(t_2)))); elseif (t_1 <= 5e-96) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64(-0.5 * Float64(phi1 * phi2))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), (t_2 ^ 0.5)))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * phi2), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$0), $MachinePrecision]}, If[LessEqual[t$95$1, -1e+15], N[(R * N[(2.0 * N[ArcTan[N[Power[t$95$0, 0.5], $MachinePrecision] / N[Sqrt[t$95$2], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 5e-96], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $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[(-0.5 * N[(phi1 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Power[t$95$2, 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := 1 - t\_0\\
\mathbf{if}\;t\_1 \leq -1 \cdot 10^{+15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{{t\_0}^{0.5}}{\sqrt{t\_2}}\right)\\
\mathbf{elif}\;t\_1 \leq 5 \cdot 10^{-96}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - -0.5 \cdot \left(\phi_1 \cdot \phi_2\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{{t\_2}^{0.5}}\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -1e15Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f6422.5
Applied rewrites22.5%
if -1e15 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 4.99999999999999995e-96Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in lambda1 around 0
Applied rewrites14.7%
if 4.99999999999999995e-96 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f6422.6
Applied rewrites22.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma -0.5 (* phi1 phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (pow (- 1.0 t_0) 0.5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(-0.5, (phi1 * phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), pow((1.0 - t_0), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(-0.5, Float64(phi1 * phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), (Float64(1.0 - t_0) ^ 0.5)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * 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[t$95$0], $MachinePrecision] / N[Power[N[(1.0 - t$95$0), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{{\left(1 - t\_0\right)}^{0.5}}\right)
\end{array}
\end{array}
Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f6422.6
Applied rewrites22.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma -0.5 (* phi1 phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(-0.5, (phi1 * phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(-0.5, Float64(phi1 * phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * 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[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (fma -0.5 (* phi1 phi2) (pow (sin (* -0.5 lambda2)) 2.0)))
(t_1 (fma -0.5 (* phi1 phi2) (pow (sin (* 0.5 lambda1)) 2.0)))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= lambda1 -7.2)
t_2
(if (<= lambda1 0.0185)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(-0.5, (phi1 * phi2), pow(sin((-0.5 * lambda2)), 2.0));
double t_1 = fma(-0.5, (phi1 * phi2), pow(sin((0.5 * lambda1)), 2.0));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (lambda1 <= -7.2) {
tmp = t_2;
} else if (lambda1 <= 0.0185) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(-0.5, Float64(phi1 * phi2), (sin(Float64(-0.5 * lambda2)) ^ 2.0)) t_1 = fma(-0.5, Float64(phi1 * phi2), (sin(Float64(0.5 * lambda1)) ^ 2.0)) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (lambda1 <= -7.2) tmp = t_2; elseif (lambda1 <= 0.0185) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * phi2), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * N[(phi1 * phi2), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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]}, If[LessEqual[lambda1, -7.2], t$95$2, If[LessEqual[lambda1, 0.0185], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}\right)\\
t_1 := \mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, {\sin \left(0.5 \cdot \lambda_1\right)}^{2}\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\lambda_1 \leq -7.2:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.0185:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -7.20000000000000018 or 0.0184999999999999991 < lambda1 Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6413.0
Applied rewrites13.0%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6413.0
Applied rewrites13.0%
if -7.20000000000000018 < lambda1 < 0.0184999999999999991Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in lambda1 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6412.9
Applied rewrites12.9%
Taylor expanded in lambda1 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6412.9
Applied rewrites12.9%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (fma -0.5 (* phi1 phi2) (pow (sin (* 0.5 lambda1)) 2.0)))) (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(-0.5, (phi1 * phi2), pow(sin((0.5 * lambda1)), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(-0.5, Float64(phi1 * phi2), (sin(Float64(0.5 * lambda1)) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * phi2), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.5, \phi_1 \cdot \phi_2, {\sin \left(0.5 \cdot \lambda_1\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6413.0
Applied rewrites13.0%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6413.0
Applied rewrites13.0%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (* -0.5 (* phi1 phi2)))) (* R (* 2.0 (atan2 (sqrt t_0) (pow (- 1.0 t_0) 0.5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 * (phi1 * phi2);
return R * (2.0 * atan2(sqrt(t_0), pow((1.0 - t_0), 0.5)));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = (-0.5d0) * (phi1 * phi2)
code = r * (2.0d0 * atan2(sqrt(t_0), ((1.0d0 - t_0) ** 0.5d0)))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 * (phi1 * phi2);
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.pow((1.0 - t_0), 0.5)));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = -0.5 * (phi1 * phi2) return R * (2.0 * math.atan2(math.sqrt(t_0), math.pow((1.0 - t_0), 0.5)))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(-0.5 * Float64(phi1 * phi2)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), (Float64(1.0 - t_0) ^ 0.5)))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = -0.5 * (phi1 * phi2); tmp = R * (2.0 * atan2(sqrt(t_0), ((1.0 - t_0) ^ 0.5))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * phi2), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Power[N[(1.0 - t$95$0), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.5 \cdot \left(\phi_1 \cdot \phi_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{{\left(1 - t\_0\right)}^{0.5}}\right)
\end{array}
\end{array}
Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f643.8
Applied rewrites3.8%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (* -0.5 (* phi1 phi2)))) (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 * (phi1 * phi2);
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = (-0.5d0) * (phi1 * phi2)
code = r * (2.0d0 * atan2(sqrt(t_0), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 * (phi1 * phi2);
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = -0.5 * (phi1 * phi2) return R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(-0.5 * Float64(phi1 * phi2)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = -0.5 * (phi1 * phi2); tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[(phi1 * phi2), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.5 \cdot \left(\phi_1 \cdot \phi_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.3%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6423.8
Applied rewrites23.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
Taylor expanded in phi1 around inf
lower-*.f64N/A
lift-*.f642.4
Applied rewrites2.4%
herbie shell --seed 2025139
(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))))))))))