
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (sin (* 0.5 (- lambda1 lambda2)))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (* (cos phi1) (* (cos phi2) (* t_2 t_2)))))
(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 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = sin((0.5 * (lambda1 - lambda2)));
return R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (t_2 * t_2))))), 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
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_2 = sin((0.5d0 * (lambda1 - lambda2)))
code = r * (2.0d0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (t_2 * t_2))))), 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 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_2 = Math.sin((0.5 * (lambda1 - lambda2)));
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + (Math.cos(phi1) * (Math.cos(phi2) * (t_2 * t_2))))), 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 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_2 = math.sin((0.5 * (lambda1 - lambda2))) return R * (2.0 * math.atan2(math.sqrt((t_1 + (math.cos(phi1) * (math.cos(phi2) * (t_2 * t_2))))), 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 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_2 * t_2))))), 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 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_2 = sin((0.5 * (lambda1 - lambda2))); tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (t_2 * t_2))))), 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[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]), $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 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_2 \cdot t\_2\right)\right)}}{\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 59.4%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6460.7
Applied rewrites60.7%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6476.1
Applied rewrites76.1%
Taylor expanded in lambda1 around inf
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6476.2
Applied rewrites76.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (fma 0.5 lambda1 (/ PI 2.0))))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (sin (* 0.5 lambda1)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* (* (* (cos phi1) (cos phi2)) t_3) t_3))
(t_5 (sqrt (- 1.0 (+ t_1 t_4)))))
(if (or (<= lambda2 -0.17) (not (<= lambda2 54.0)))
(*
R
(* 2.0 (atan2 (sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_4)) t_5)))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_1
(*
(cos phi1)
(*
(cos phi2)
(*
(sin (* 0.5 (- lambda1 lambda2)))
(+
t_2
(*
lambda2
(fma
-0.5
t_0
(*
lambda2
(+
(* -0.125 t_2)
(* 0.020833333333333332 (* lambda2 t_0))))))))))))
t_5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(fma(0.5, lambda1, (((double) M_PI) / 2.0)));
double t_1 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = sin((0.5 * lambda1));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = ((cos(phi1) * cos(phi2)) * t_3) * t_3;
double t_5 = sqrt((1.0 - (t_1 + t_4)));
double tmp;
if ((lambda2 <= -0.17) || !(lambda2 <= 54.0)) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_4)), t_5));
} else {
tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) * (t_2 + (lambda2 * fma(-0.5, t_0, (lambda2 * ((-0.125 * t_2) + (0.020833333333333332 * (lambda2 * t_0)))))))))))), t_5));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(fma(0.5, lambda1, Float64(pi / 2.0))) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = sin(Float64(0.5 * lambda1)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_3) * t_3) t_5 = sqrt(Float64(1.0 - Float64(t_1 + t_4))) tmp = 0.0 if ((lambda2 <= -0.17) || !(lambda2 <= 54.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_4)), t_5))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(sin(Float64(0.5 * Float64(lambda1 - lambda2))) * Float64(t_2 + Float64(lambda2 * fma(-0.5, t_0, Float64(lambda2 * Float64(Float64(-0.125 * t_2) + Float64(0.020833333333333332 * Float64(lambda2 * t_0)))))))))))), t_5))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * lambda1 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - N[(t$95$1 + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[lambda2, -0.17], N[Not[LessEqual[lambda2, 54.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(t$95$2 + N[(lambda2 * N[(-0.5 * t$95$0 + N[(lambda2 * N[(N[(-0.125 * t$95$2), $MachinePrecision] + N[(0.020833333333333332 * N[(lambda2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\mathsf{fma}\left(0.5, \lambda_1, \frac{\pi}{2}\right)\right)\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \sin \left(0.5 \cdot \lambda_1\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) \cdot t\_3\\
t_5 := \sqrt{1 - \left(t\_1 + t\_4\right)}\\
\mathbf{if}\;\lambda_2 \leq -0.17 \lor \neg \left(\lambda_2 \leq 54\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_4}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot \left(t\_2 + \lambda_2 \cdot \mathsf{fma}\left(-0.5, t\_0, \lambda_2 \cdot \left(-0.125 \cdot t\_2 + 0.020833333333333332 \cdot \left(\lambda_2 \cdot t\_0\right)\right)\right)\right)\right)\right)}}{t\_5}\right)\\
\end{array}
\end{array}
if lambda2 < -0.170000000000000012 or 54 < lambda2 Initial program 46.0%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6447.2
Applied rewrites47.2%
if -0.170000000000000012 < lambda2 < 54Initial program 72.7%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6474.0
Applied rewrites74.0%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6495.1
Applied rewrites95.1%
Taylor expanded in lambda1 around inf
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f6495.2
Applied rewrites95.2%
Taylor expanded in lambda2 around 0
lower-+.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lift-/.f64N/A
lift-PI.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
Applied rewrites95.2%
Final simplification71.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_1 (sin (* 0.5 lambda1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (* (* (cos phi1) (cos phi2)) t_2) t_2))
(t_4 (sqrt (- 1.0 (+ t_0 t_3)))))
(if (or (<= lambda2 -0.17) (not (<= lambda2 2e-5)))
(*
R
(* 2.0 (atan2 (sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_3)) t_4)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (* (cos phi1) (* (cos phi2) (* t_1 t_1)))))
t_4))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_1 = sin((0.5 * lambda1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = ((cos(phi1) * cos(phi2)) * t_2) * t_2;
double t_4 = sqrt((1.0 - (t_0 + t_3)));
double tmp;
if ((lambda2 <= -0.17) || !(lambda2 <= 2e-5)) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_3)), t_4));
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (t_1 * t_1))))), t_4));
}
return tmp;
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_1 = sin((0.5d0 * lambda1))
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = ((cos(phi1) * cos(phi2)) * t_2) * t_2
t_4 = sqrt((1.0d0 - (t_0 + t_3)))
if ((lambda2 <= (-0.17d0)) .or. (.not. (lambda2 <= 2d-5))) then
tmp = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_3)), t_4))
else
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (t_1 * t_1))))), t_4))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_1 = Math.sin((0.5 * lambda1));
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = ((Math.cos(phi1) * Math.cos(phi2)) * t_2) * t_2;
double t_4 = Math.sqrt((1.0 - (t_0 + t_3)));
double tmp;
if ((lambda2 <= -0.17) || !(lambda2 <= 2e-5)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_3)), t_4));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * (Math.cos(phi2) * (t_1 * t_1))))), t_4));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_1 = math.sin((0.5 * lambda1)) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = ((math.cos(phi1) * math.cos(phi2)) * t_2) * t_2 t_4 = math.sqrt((1.0 - (t_0 + t_3))) tmp = 0 if (lambda2 <= -0.17) or not (lambda2 <= 2e-5): tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_3)), t_4)) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * (math.cos(phi2) * (t_1 * t_1))))), t_4)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_1 = sin(Float64(0.5 * lambda1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2) t_4 = sqrt(Float64(1.0 - Float64(t_0 + t_3))) tmp = 0.0 if ((lambda2 <= -0.17) || !(lambda2 <= 2e-5)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_3)), t_4))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 * t_1))))), t_4))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_1 = sin((0.5 * lambda1)); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = ((cos(phi1) * cos(phi2)) * t_2) * t_2; t_4 = sqrt((1.0 - (t_0 + t_3))); tmp = 0.0; if ((lambda2 <= -0.17) || ~((lambda2 <= 2e-5))) tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_3)), t_4)); else tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (t_1 * t_1))))), t_4)); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - N[(t$95$0 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[lambda2, -0.17], N[Not[LessEqual[lambda2, 2e-5]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_1 := \sin \left(0.5 \cdot \lambda_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
t_4 := \sqrt{1 - \left(t\_0 + t\_3\right)}\\
\mathbf{if}\;\lambda_2 \leq -0.17 \lor \neg \left(\lambda_2 \leq 2 \cdot 10^{-5}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_3}}{t\_4}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 \cdot t\_1\right)\right)}}{t\_4}\right)\\
\end{array}
\end{array}
if lambda2 < -0.170000000000000012 or 2.00000000000000016e-5 < lambda2 Initial program 45.7%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6447.0
Applied rewrites47.0%
if -0.170000000000000012 < lambda2 < 2.00000000000000016e-5Initial program 73.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6474.4
Applied rewrites74.4%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6495.8
Applied rewrites95.8%
Taylor expanded in lambda2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6493.9
Applied rewrites93.9%
Final simplification70.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (fma -0.5 phi2 (/ PI 2.0))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* 0.5 (- lambda1 lambda2))))
(t_3 (sin (* 0.5 phi1)))
(t_4 (* (* (* (cos phi1) (cos phi2)) t_1) t_1))
(t_5 (* t_2 t_2))
(t_6 (* t_5 (cos phi2)))
(t_7 (sin (* -0.5 phi2)))
(t_8 (* t_0 t_7))
(t_9 (pow t_7 1.0)))
(if (or (<= phi1 -0.002) (not (<= phi1 0.00085)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_5 (* t_3 t_3)))
(sqrt
(-
1.0
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
t_4))))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(fma
(fma
-0.5
t_6
(+
(fma (* t_8 -0.16666666666666666) phi1 (* (* t_0 t_0) 0.25))
(* (* t_7 t_7) -0.25)))
phi1
t_8)
phi1
(fma t_9 t_9 t_6)))
(sqrt (- 1.0 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_4)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(fma(-0.5, phi2, (((double) M_PI) / 2.0)));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((0.5 * (lambda1 - lambda2)));
double t_3 = sin((0.5 * phi1));
double t_4 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double t_5 = t_2 * t_2;
double t_6 = t_5 * cos(phi2);
double t_7 = sin((-0.5 * phi2));
double t_8 = t_0 * t_7;
double t_9 = pow(t_7, 1.0);
double tmp;
if ((phi1 <= -0.002) || !(phi1 <= 0.00085)) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_5, (t_3 * t_3))), sqrt((1.0 - (pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + t_4)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(fma(fma(-0.5, t_6, (fma((t_8 * -0.16666666666666666), phi1, ((t_0 * t_0) * 0.25)) + ((t_7 * t_7) * -0.25))), phi1, t_8), phi1, fma(t_9, t_9, t_6))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_4)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(fma(-0.5, phi2, Float64(pi / 2.0))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_3 = sin(Float64(0.5 * phi1)) t_4 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) t_5 = Float64(t_2 * t_2) t_6 = Float64(t_5 * cos(phi2)) t_7 = sin(Float64(-0.5 * phi2)) t_8 = Float64(t_0 * t_7) t_9 = t_7 ^ 1.0 tmp = 0.0 if ((phi1 <= -0.002) || !(phi1 <= 0.00085)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_5, Float64(t_3 * t_3))), sqrt(Float64(1.0 - Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + t_4)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(fma(fma(-0.5, t_6, Float64(fma(Float64(t_8 * -0.16666666666666666), phi1, Float64(Float64(t_0 * t_0) * 0.25)) + Float64(Float64(t_7 * t_7) * -0.25))), phi1, t_8), phi1, fma(t_9, t_9, t_6))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_4)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 * t$95$2), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$8 = N[(t$95$0 * t$95$7), $MachinePrecision]}, Block[{t$95$9 = N[Power[t$95$7, 1.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.002], N[Not[LessEqual[phi1, 0.00085]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$5 + N[(t$95$3 * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(-0.5 * t$95$6 + N[(N[(N[(t$95$8 * -0.16666666666666666), $MachinePrecision] * phi1 + N[(N[(t$95$0 * t$95$0), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$7 * t$95$7), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * phi1 + t$95$8), $MachinePrecision] * phi1 + N[(t$95$9 * t$95$9 + t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_3 := \sin \left(0.5 \cdot \phi_1\right)\\
t_4 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_5 := t\_2 \cdot t\_2\\
t_6 := t\_5 \cdot \cos \phi_2\\
t_7 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_8 := t\_0 \cdot t\_7\\
t_9 := {t\_7}^{1}\\
\mathbf{if}\;\phi_1 \leq -0.002 \lor \neg \left(\phi_1 \leq 0.00085\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_5, t\_3 \cdot t\_3\right)}}{\sqrt{1 - \left({\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + t\_4\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.5, t\_6, \mathsf{fma}\left(t\_8 \cdot -0.16666666666666666, \phi_1, \left(t\_0 \cdot t\_0\right) \cdot 0.25\right) + \left(t\_7 \cdot t\_7\right) \cdot -0.25\right), \phi_1, t\_8\right), \phi_1, \mathsf{fma}\left(t\_9, t\_9, t\_6\right)\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_4\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -2e-3 or 8.49999999999999953e-4 < phi1 Initial program 45.4%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6447.7
Applied rewrites47.7%
Taylor expanded in phi2 around 0
unpow2N/A
unpow2N/A
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
Applied rewrites48.7%
if -2e-3 < phi1 < 8.49999999999999953e-4Initial program 74.4%
Taylor expanded in phi1 around 0
Applied rewrites74.5%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1))
(sqrt
(-
1.0
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), sqrt((1.0 - (pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + t_1)))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_1)), sqrt((1.0d0 - ((((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + t_1)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), Math.sqrt((1.0 - (Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0) + t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = ((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), math.sqrt((1.0 - (math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) + t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0; tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt((1.0 - ((((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + t_1))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1}}{\sqrt{1 - \left({\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6460.7
Applied rewrites60.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (fma -0.5 phi2 (/ PI 2.0))))
(t_1 (sin (* 0.5 (- lambda1 lambda2))))
(t_2 (* t_1 t_1))
(t_3 (sin (* -0.5 phi2)))
(t_4 (pow t_3 1.0))
(t_5 (* t_0 t_3))
(t_6 (sin (* 0.5 phi1)))
(t_7 (pow t_6 1.0))
(t_8 (* t_2 (cos phi2)))
(t_9 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= phi1 -300000000.0) (not (<= phi1 0.00085)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_2 (* t_6 t_6)))
(sqrt (- 1.0 (fma t_7 t_7 (* t_2 (cos phi1))))))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(fma
(fma
-0.5
t_8
(+
(fma (* t_5 -0.16666666666666666) phi1 (* (* t_0 t_0) 0.25))
(* (* t_3 t_3) -0.25)))
phi1
t_5)
phi1
(fma t_4 t_4 t_8)))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_9) t_9))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(fma(-0.5, phi2, (((double) M_PI) / 2.0)));
double t_1 = sin((0.5 * (lambda1 - lambda2)));
double t_2 = t_1 * t_1;
double t_3 = sin((-0.5 * phi2));
double t_4 = pow(t_3, 1.0);
double t_5 = t_0 * t_3;
double t_6 = sin((0.5 * phi1));
double t_7 = pow(t_6, 1.0);
double t_8 = t_2 * cos(phi2);
double t_9 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi1 <= -300000000.0) || !(phi1 <= 0.00085)) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_2, (t_6 * t_6))), sqrt((1.0 - fma(t_7, t_7, (t_2 * cos(phi1)))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(fma(fma(-0.5, t_8, (fma((t_5 * -0.16666666666666666), phi1, ((t_0 * t_0) * 0.25)) + ((t_3 * t_3) * -0.25))), phi1, t_5), phi1, fma(t_4, t_4, t_8))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_9) * t_9))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(fma(-0.5, phi2, Float64(pi / 2.0))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_2 = Float64(t_1 * t_1) t_3 = sin(Float64(-0.5 * phi2)) t_4 = t_3 ^ 1.0 t_5 = Float64(t_0 * t_3) t_6 = sin(Float64(0.5 * phi1)) t_7 = t_6 ^ 1.0 t_8 = Float64(t_2 * cos(phi2)) t_9 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((phi1 <= -300000000.0) || !(phi1 <= 0.00085)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_2, Float64(t_6 * t_6))), sqrt(Float64(1.0 - fma(t_7, t_7, Float64(t_2 * cos(phi1)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(fma(fma(-0.5, t_8, Float64(fma(Float64(t_5 * -0.16666666666666666), phi1, Float64(Float64(t_0 * t_0) * 0.25)) + Float64(Float64(t_3 * t_3) * -0.25))), phi1, t_5), phi1, fma(t_4, t_4, t_8))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_9) * t_9))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[t$95$3, 1.0], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 * t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[Power[t$95$6, 1.0], $MachinePrecision]}, Block[{t$95$8 = N[(t$95$2 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$9 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi1, -300000000.0], N[Not[LessEqual[phi1, 0.00085]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + N[(t$95$6 * t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$7 * t$95$7 + N[(t$95$2 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(-0.5 * t$95$8 + N[(N[(N[(t$95$5 * -0.16666666666666666), $MachinePrecision] * phi1 + N[(N[(t$95$0 * t$95$0), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 * t$95$3), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * phi1 + t$95$5), $MachinePrecision] * phi1 + N[(t$95$4 * t$95$4 + t$95$8), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$9), $MachinePrecision] * t$95$9), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\\
t_1 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := t\_1 \cdot t\_1\\
t_3 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_4 := {t\_3}^{1}\\
t_5 := t\_0 \cdot t\_3\\
t_6 := \sin \left(0.5 \cdot \phi_1\right)\\
t_7 := {t\_6}^{1}\\
t_8 := t\_2 \cdot \cos \phi_2\\
t_9 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -300000000 \lor \neg \left(\phi_1 \leq 0.00085\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_2, t\_6 \cdot t\_6\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_7, t\_7, t\_2 \cdot \cos \phi_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.5, t\_8, \mathsf{fma}\left(t\_5 \cdot -0.16666666666666666, \phi_1, \left(t\_0 \cdot t\_0\right) \cdot 0.25\right) + \left(t\_3 \cdot t\_3\right) \cdot -0.25\right), \phi_1, t\_5\right), \phi_1, \mathsf{fma}\left(t\_4, t\_4, t\_8\right)\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_9\right) \cdot t\_9\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -3e8 or 8.49999999999999953e-4 < phi1 Initial program 46.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
sqr-powN/A
lower-fma.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites47.8%
Taylor expanded in phi2 around 0
unpow2N/A
unpow2N/A
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
Applied rewrites48.6%
if -3e8 < phi1 < 8.49999999999999953e-4Initial program 72.7%
Taylor expanded in phi1 around 0
Applied rewrites72.8%
Final simplification60.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* -0.5 phi2)))
(t_1 (pow (sin (* 0.5 phi1)) 1.0))
(t_2 (sin (fma -0.5 phi2 (/ PI 2.0))))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_3) t_3)))))
(t_5 (pow t_0 1.0))
(t_6 (sin (* 0.5 (- lambda1 lambda2))))
(t_7 (* t_6 t_6))
(t_8 (* t_7 (cos phi2)))
(t_9 (* t_2 t_0)))
(if (or (<= phi1 -4800000000.0) (not (<= phi1 0.00085)))
(* R (* 2.0 (atan2 (sqrt (fma t_1 t_1 (* t_7 (cos phi1)))) t_4)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(fma
(fma
-0.5
t_8
(+
(fma (* t_9 -0.16666666666666666) phi1 (* (* t_2 t_2) 0.25))
(* (* t_0 t_0) -0.25)))
phi1
t_9)
phi1
(fma t_5 t_5 t_8)))
t_4))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * phi2));
double t_1 = pow(sin((0.5 * phi1)), 1.0);
double t_2 = sin(fma(-0.5, phi2, (((double) M_PI) / 2.0)));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_3) * t_3))));
double t_5 = pow(t_0, 1.0);
double t_6 = sin((0.5 * (lambda1 - lambda2)));
double t_7 = t_6 * t_6;
double t_8 = t_7 * cos(phi2);
double t_9 = t_2 * t_0;
double tmp;
if ((phi1 <= -4800000000.0) || !(phi1 <= 0.00085)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, t_1, (t_7 * cos(phi1)))), t_4));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(fma(fma(-0.5, t_8, (fma((t_9 * -0.16666666666666666), phi1, ((t_2 * t_2) * 0.25)) + ((t_0 * t_0) * -0.25))), phi1, t_9), phi1, fma(t_5, t_5, t_8))), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) t_1 = sin(Float64(0.5 * phi1)) ^ 1.0 t_2 = sin(fma(-0.5, phi2, Float64(pi / 2.0))) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_3) * t_3)))) t_5 = t_0 ^ 1.0 t_6 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_7 = Float64(t_6 * t_6) t_8 = Float64(t_7 * cos(phi2)) t_9 = Float64(t_2 * t_0) tmp = 0.0 if ((phi1 <= -4800000000.0) || !(phi1 <= 0.00085)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, t_1, Float64(t_7 * cos(phi1)))), t_4))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(fma(fma(-0.5, t_8, Float64(fma(Float64(t_9 * -0.16666666666666666), phi1, Float64(Float64(t_2 * t_2) * 0.25)) + Float64(Float64(t_0 * t_0) * -0.25))), phi1, t_9), phi1, fma(t_5, t_5, t_8))), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 1.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Power[t$95$0, 1.0], $MachinePrecision]}, Block[{t$95$6 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$6 * t$95$6), $MachinePrecision]}, Block[{t$95$8 = N[(t$95$7 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$9 = N[(t$95$2 * t$95$0), $MachinePrecision]}, If[Or[LessEqual[phi1, -4800000000.0], N[Not[LessEqual[phi1, 0.00085]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + N[(t$95$7 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(-0.5 * t$95$8 + N[(N[(N[(t$95$9 * -0.16666666666666666), $MachinePrecision] * phi1 + N[(N[(t$95$2 * t$95$2), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$0 * t$95$0), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * phi1 + t$95$9), $MachinePrecision] * phi1 + N[(t$95$5 * t$95$5 + t$95$8), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := {\sin \left(0.5 \cdot \phi_1\right)}^{1}\\
t_2 := \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) \cdot t\_3\right)}\\
t_5 := {t\_0}^{1}\\
t_6 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_7 := t\_6 \cdot t\_6\\
t_8 := t\_7 \cdot \cos \phi_2\\
t_9 := t\_2 \cdot t\_0\\
\mathbf{if}\;\phi_1 \leq -4800000000 \lor \neg \left(\phi_1 \leq 0.00085\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, t\_7 \cdot \cos \phi_1\right)}}{t\_4}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.5, t\_8, \mathsf{fma}\left(t\_9 \cdot -0.16666666666666666, \phi_1, \left(t\_2 \cdot t\_2\right) \cdot 0.25\right) + \left(t\_0 \cdot t\_0\right) \cdot -0.25\right), \phi_1, t\_9\right), \phi_1, \mathsf{fma}\left(t\_5, t\_5, t\_8\right)\right)}}{t\_4}\right)\\
\end{array}
\end{array}
if phi1 < -4.8e9 or 8.49999999999999953e-4 < phi1 Initial program 46.6%
Taylor expanded in phi2 around 0
+-commutativeN/A
sqr-powN/A
lower-fma.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites47.7%
if -4.8e9 < phi1 < 8.49999999999999953e-4Initial program 72.1%
Taylor expanded in phi1 around 0
Applied rewrites72.2%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (/ (- phi1 phi2) 2.0))
(t_2 (pow (sin t_1) 2.0))
(t_3 (* (* (* (cos phi1) (cos phi2)) t_0) t_0))
(t_4 (+ t_2 t_3))
(t_5 (sqrt (- 1.0 t_4)))
(t_6 (sin (* 0.5 (- lambda1 lambda2))))
(t_7 (* t_6 (cos phi1))))
(if (<= t_4 0.03)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_2
(*
(fma
(fma
(* (* phi2 phi2) 0.041666666666666664)
t_7
(* (* -0.5 (cos phi1)) t_6))
(* phi2 phi2)
t_7)
t_0)))
t_5)))
(*
R
(* 2.0 (atan2 (sqrt (+ (/ (- 1.0 (cos (+ t_1 t_1))) 2.0) t_3)) t_5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = pow(sin(t_1), 2.0);
double t_3 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
double t_4 = t_2 + t_3;
double t_5 = sqrt((1.0 - t_4));
double t_6 = sin((0.5 * (lambda1 - lambda2)));
double t_7 = t_6 * cos(phi1);
double tmp;
if (t_4 <= 0.03) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (fma(fma(((phi2 * phi2) * 0.041666666666666664), t_7, ((-0.5 * cos(phi1)) * t_6)), (phi2 * phi2), t_7) * t_0))), t_5));
} else {
tmp = R * (2.0 * atan2(sqrt((((1.0 - cos((t_1 + t_1))) / 2.0) + t_3)), t_5));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) t_2 = sin(t_1) ^ 2.0 t_3 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) t_4 = Float64(t_2 + t_3) t_5 = sqrt(Float64(1.0 - t_4)) t_6 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_7 = Float64(t_6 * cos(phi1)) tmp = 0.0 if (t_4 <= 0.03) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(fma(fma(Float64(Float64(phi2 * phi2) * 0.041666666666666664), t_7, Float64(Float64(-0.5 * cos(phi1)) * t_6)), Float64(phi2 * phi2), t_7) * t_0))), t_5))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(Float64(1.0 - cos(Float64(t_1 + t_1))) / 2.0) + t_3)), t_5))); 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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$6 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.03], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(N[(phi2 * phi2), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] * t$95$7 + N[(N[(-0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$6), $MachinePrecision]), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + t$95$7), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(1.0 - N[Cos[N[(t$95$1 + t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
t_2 := {\sin t\_1}^{2}\\
t_3 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_4 := t\_2 + t\_3\\
t_5 := \sqrt{1 - t\_4}\\
t_6 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_7 := t\_6 \cdot \cos \phi_1\\
\mathbf{if}\;t\_4 \leq 0.03:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \mathsf{fma}\left(\mathsf{fma}\left(\left(\phi_2 \cdot \phi_2\right) \cdot 0.041666666666666664, t\_7, \left(-0.5 \cdot \cos \phi_1\right) \cdot t\_6\right), \phi_2 \cdot \phi_2, t\_7\right) \cdot t\_0}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{1 - \cos \left(t\_1 + t\_1\right)}{2} + t\_3}}{t\_5}\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.029999999999999999Initial program 67.6%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites70.9%
if 0.029999999999999999 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.1%
lift-pow.f64N/A
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
unpow2N/A
sin-multN/A
lower-/.f64N/A
Applied rewrites58.1%
Final simplification60.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (/ (- phi1 phi2) 2.0))
(t_2 (* (* (* (cos phi1) (cos phi2)) t_0) t_0))
(t_3 (+ (pow (sin t_1) 2.0) t_2))
(t_4 (sqrt (- 1.0 t_3))))
(if (<= t_3 0.00012)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(* 0.5 phi1)
(sin (fma -0.5 phi2 (/ PI 2.0)))
(sin (* -0.5 phi2)))
2.0)
t_2))
t_4)))
(*
R
(* 2.0 (atan2 (sqrt (+ (/ (- 1.0 (cos (+ t_1 t_1))) 2.0) t_2)) 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 = (phi1 - phi2) / 2.0;
double t_2 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
double t_3 = pow(sin(t_1), 2.0) + t_2;
double t_4 = sqrt((1.0 - t_3));
double tmp;
if (t_3 <= 0.00012) {
tmp = R * (2.0 * atan2(sqrt((pow(fma((0.5 * phi1), sin(fma(-0.5, phi2, (((double) M_PI) / 2.0))), sin((-0.5 * phi2))), 2.0) + t_2)), t_4));
} else {
tmp = R * (2.0 * atan2(sqrt((((1.0 - cos((t_1 + t_1))) / 2.0) + t_2)), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) t_2 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) t_3 = Float64((sin(t_1) ^ 2.0) + t_2) t_4 = sqrt(Float64(1.0 - t_3)) tmp = 0.0 if (t_3 <= 0.00012) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(Float64(0.5 * phi1), sin(fma(-0.5, phi2, Float64(pi / 2.0))), sin(Float64(-0.5 * phi2))) ^ 2.0) + t_2)), t_4))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(Float64(1.0 - cos(Float64(t_1 + t_1))) / 2.0) + t_2)), 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[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 0.00012], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(0.5 * phi1), $MachinePrecision] * N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(1.0 - N[Cos[N[(t$95$1 + t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
t_2 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_3 := {\sin t\_1}^{2} + t\_2\\
t_4 := \sqrt{1 - t\_3}\\
\mathbf{if}\;t\_3 \leq 0.00012:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(0.5 \cdot \phi_1, \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right), \sin \left(-0.5 \cdot \phi_2\right)\right)\right)}^{2} + t\_2}}{t\_4}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{1 - \cos \left(t\_1 + t\_1\right)}{2} + t\_2}}{t\_4}\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.20000000000000003e-4Initial program 64.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-sin.f64N/A
lower-*.f6469.4
Applied rewrites69.4%
if 1.20000000000000003e-4 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.9%
lift-pow.f64N/A
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
unpow2N/A
sin-multN/A
lower-/.f64N/A
Applied rewrites58.9%
Final simplification59.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (* (* t_0 t_1) t_1)))
(sqrt
(-
1.0
(+
t_2
(*
(*
t_0
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0)))))
t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_2 + ((t_0 * t_1) * t_1))), sqrt((1.0 - (t_2 + ((t_0 * ((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0))))) * t_1))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_2 + ((t_0 * t_1) * t_1))), sqrt((1.0d0 - (t_2 + ((t_0 * ((sin((lambda1 / 2.0d0)) * cos((lambda2 / 2.0d0))) - (cos((lambda1 / 2.0d0)) * sin((lambda2 / 2.0d0))))) * t_1))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_2 + ((t_0 * t_1) * t_1))), Math.sqrt((1.0 - (t_2 + ((t_0 * ((Math.sin((lambda1 / 2.0)) * Math.cos((lambda2 / 2.0))) - (Math.cos((lambda1 / 2.0)) * Math.sin((lambda2 / 2.0))))) * t_1))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_2 + ((t_0 * t_1) * t_1))), math.sqrt((1.0 - (t_2 + ((t_0 * ((math.sin((lambda1 / 2.0)) * math.cos((lambda2 / 2.0))) - (math.cos((lambda1 / 2.0)) * math.sin((lambda2 / 2.0))))) * t_1))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(t_0 * t_1) * t_1))), sqrt(Float64(1.0 - Float64(t_2 + Float64(Float64(t_0 * Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0))))) * t_1))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt((t_2 + ((t_0 * t_1) * t_1))), sqrt((1.0 - (t_2 + ((t_0 * ((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0))))) * t_1)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(t$95$0 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[(t$95$0 * N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(t\_0 \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \left(t\_2 + \left(t\_0 \cdot \left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)\right) \cdot t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6459.5
Applied rewrites59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) t_1))
(sqrt (- 1.0 (+ (/ (- 1.0 (cos (+ t_2 t_2))) 2.0) t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + t_1)), sqrt((1.0 - (((1.0 - cos((t_2 + t_2))) / 2.0) + t_1)))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + t_1)), sqrt((1.0d0 - (((1.0d0 - cos((t_2 + t_2))) / 2.0d0) + t_1)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0;
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + t_1)), Math.sqrt((1.0 - (((1.0 - Math.cos((t_2 + t_2))) / 2.0) + t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = ((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0 t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + t_1)), math.sqrt((1.0 - (((1.0 - math.cos((t_2 + t_2))) / 2.0) + t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64(Float64(Float64(1.0 - cos(Float64(t_2 + t_2))) / 2.0) + t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0; t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + t_1)), sqrt((1.0 - (((1.0 - cos((t_2 + t_2))) / 2.0) + t_1))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(1.0 - N[Cos[N[(t$95$2 + t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_1}}{\sqrt{1 - \left(\frac{1 - \cos \left(t\_2 + t\_2\right)}{2} + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
lift-pow.f64N/A
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
unpow2N/A
sin-multN/A
lower-/.f64N/A
Applied rewrites59.5%
Final simplification59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (/ (- phi1 phi2) 2.0))
(t_2 (cos t_1)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(exp
(*
(log (- (* t_2 t_2) (* (* t_0 (* (cos phi2) (cos phi1))) t_0)))
0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = cos(t_1);
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((t_2 * t_2) - ((t_0 * (cos(phi2) * cos(phi1))) * 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
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (phi1 - phi2) / 2.0d0
t_2 = cos(t_1)
code = r * (2.0d0 * atan2(sqrt(((sin(t_1) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((t_2 * t_2) - ((t_0 * (cos(phi2) * cos(phi1))) * t_0))) * 0.5d0))))
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 = (phi1 - phi2) / 2.0;
double t_2 = Math.cos(t_1);
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.exp((Math.log(((t_2 * t_2) - ((t_0 * (Math.cos(phi2) * Math.cos(phi1))) * t_0))) * 0.5))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = (phi1 - phi2) / 2.0 t_2 = math.cos(t_1) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))), math.exp((math.log(((t_2 * t_2) - ((t_0 * (math.cos(phi2) * math.cos(phi1))) * t_0))) * 0.5))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) t_2 = cos(t_1) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), exp(Float64(log(Float64(Float64(t_2 * t_2) - Float64(Float64(t_0 * Float64(cos(phi2) * cos(phi1))) * t_0))) * 0.5))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (phi1 - phi2) / 2.0; t_2 = cos(t_1); tmp = R * (2.0 * atan2(sqrt(((sin(t_1) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((t_2 * t_2) - ((t_0 * (cos(phi2) * cos(phi1))) * t_0))) * 0.5)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Cos[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Exp[N[(N[Log[N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[(N[(t$95$0 * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
t_2 := \cos t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{e^{\log \left(t\_2 \cdot t\_2 - \left(t\_0 \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) \cdot t\_0\right) \cdot 0.5}}\right)
\end{array}
\end{array}
Initial program 59.4%
Applied rewrites59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* -0.5 phi2)) 1.0))
(t_1 (pow (sin (* 0.5 phi1)) 1.0))
(t_2 (sin (* 0.5 (- lambda1 lambda2))))
(t_3 (* t_2 t_2))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_4) t_4))))))
(if (or (<= phi2 -2.65e-11) (not (<= phi2 1.52e-18)))
(* R (* 2.0 (atan2 (sqrt (fma t_0 t_0 (* t_3 (cos phi2)))) t_5)))
(* R (* 2.0 (atan2 (sqrt (fma t_1 t_1 (* t_3 (cos phi1)))) t_5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((-0.5 * phi2)), 1.0);
double t_1 = pow(sin((0.5 * phi1)), 1.0);
double t_2 = sin((0.5 * (lambda1 - lambda2)));
double t_3 = t_2 * t_2;
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_4) * t_4))));
double tmp;
if ((phi2 <= -2.65e-11) || !(phi2 <= 1.52e-18)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, t_0, (t_3 * cos(phi2)))), t_5));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, t_1, (t_3 * cos(phi1)))), t_5));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) ^ 1.0 t_1 = sin(Float64(0.5 * phi1)) ^ 1.0 t_2 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_3 = Float64(t_2 * t_2) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4)))) tmp = 0.0 if ((phi2 <= -2.65e-11) || !(phi2 <= 1.52e-18)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, t_0, Float64(t_3 * cos(phi2)))), t_5))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, t_1, Float64(t_3 * cos(phi1)))), t_5))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 1.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 1.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi2, -2.65e-11], N[Not[LessEqual[phi2, 1.52e-18]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$0 + N[(t$95$3 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + N[(t$95$3 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(-0.5 \cdot \phi_2\right)}^{1}\\
t_1 := {\sin \left(0.5 \cdot \phi_1\right)}^{1}\\
t_2 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_3 := t\_2 \cdot t\_2\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4\right)}\\
\mathbf{if}\;\phi_2 \leq -2.65 \cdot 10^{-11} \lor \neg \left(\phi_2 \leq 1.52 \cdot 10^{-18}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_0, t\_3 \cdot \cos \phi_2\right)}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, t\_3 \cdot \cos \phi_1\right)}}{t\_5}\right)\\
\end{array}
\end{array}
if phi2 < -2.6499999999999999e-11 or 1.52e-18 < phi2 Initial program 40.4%
Taylor expanded in phi1 around 0
+-commutativeN/A
sqr-powN/A
lower-fma.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites41.5%
if -2.6499999999999999e-11 < phi2 < 1.52e-18Initial program 77.6%
Taylor expanded in phi2 around 0
+-commutativeN/A
sqr-powN/A
lower-fma.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites76.2%
Final simplification59.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (- phi1 phi2))))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (sin (* -0.5 lambda2)))
(t_3 (* t_2 t_2))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_4) t_4)))))
(t_6 (sqrt (fma t_0 t_0 (* t_1 t_3))))
(t_7 (sin (* 0.5 lambda1))))
(if (<= lambda2 -2.8e+20)
(*
R
(*
2.0
(atan2
t_6
(sqrt (- 1.0 (fma (cos phi1) (* (cos phi2) t_3) (* t_0 t_0)))))))
(if (<= lambda2 2e-5)
(* R (* 2.0 (atan2 (sqrt (fma t_0 t_0 (* t_1 (* t_7 t_7)))) t_5)))
(* R (* 2.0 (atan2 t_6 t_5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (phi1 - phi2)));
double t_1 = cos(phi2) * cos(phi1);
double t_2 = sin((-0.5 * lambda2));
double t_3 = t_2 * t_2;
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_4) * t_4))));
double t_6 = sqrt(fma(t_0, t_0, (t_1 * t_3)));
double t_7 = sin((0.5 * lambda1));
double tmp;
if (lambda2 <= -2.8e+20) {
tmp = R * (2.0 * atan2(t_6, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_3), (t_0 * t_0))))));
} else if (lambda2 <= 2e-5) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, t_0, (t_1 * (t_7 * t_7)))), t_5));
} else {
tmp = R * (2.0 * atan2(t_6, t_5));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = sin(Float64(-0.5 * lambda2)) t_3 = Float64(t_2 * t_2) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4)))) t_6 = sqrt(fma(t_0, t_0, Float64(t_1 * t_3))) t_7 = sin(Float64(0.5 * lambda1)) tmp = 0.0 if (lambda2 <= -2.8e+20) tmp = Float64(R * Float64(2.0 * atan(t_6, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_3), Float64(t_0 * t_0))))))); elseif (lambda2 <= 2e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, t_0, Float64(t_1 * Float64(t_7 * t_7)))), t_5))); else tmp = Float64(R * Float64(2.0 * atan(t_6, t_5))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(t$95$0 * t$95$0 + N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -2.8e+20], N[(R * N[(2.0 * N[ArcTan[t$95$6 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision] + N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 2e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$0 + N[(t$95$1 * N[(t$95$7 * t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$6 / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := \sin \left(-0.5 \cdot \lambda_2\right)\\
t_3 := t\_2 \cdot t\_2\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4\right)}\\
t_6 := \sqrt{\mathsf{fma}\left(t\_0, t\_0, t\_1 \cdot t\_3\right)}\\
t_7 := \sin \left(0.5 \cdot \lambda_1\right)\\
\mathbf{if}\;\lambda_2 \leq -2.8 \cdot 10^{+20}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_6}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_3, t\_0 \cdot t\_0\right)}}\right)\\
\mathbf{elif}\;\lambda_2 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_0, t\_1 \cdot \left(t\_7 \cdot t\_7\right)\right)}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_6}{t\_5}\right)\\
\end{array}
\end{array}
if lambda2 < -2.8e20Initial program 49.1%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites49.2%
Taylor expanded in lambda1 around 0
unpow2N/A
unpow2N/A
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
Applied rewrites49.8%
if -2.8e20 < lambda2 < 2.00000000000000016e-5Initial program 71.1%
Taylor expanded in lambda2 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites69.3%
if 2.00000000000000016e-5 < lambda2 Initial program 44.3%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites44.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* -0.5 lambda2)))
(t_1 (* t_0 t_0))
(t_2 (sin (* 0.5 (- phi1 phi2)))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_2 t_2 (* (* (cos phi2) (cos phi1)) t_1)))
(sqrt (- 1.0 (fma (cos phi1) (* (cos phi2) t_1) (* t_2 t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * lambda2));
double t_1 = t_0 * t_0;
double t_2 = sin((0.5 * (phi1 - phi2)));
return R * (2.0 * atan2(sqrt(fma(t_2, t_2, ((cos(phi2) * cos(phi1)) * t_1))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_1), (t_2 * t_2))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * lambda2)) t_1 = Float64(t_0 * t_0) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_2, t_2, Float64(Float64(cos(phi2) * cos(phi1)) * t_1))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_1), Float64(t_2 * t_2))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$2 + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] + N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \lambda_2\right)\\
t_1 := t\_0 \cdot t\_0\\
t_2 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_2, \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, t\_2 \cdot t\_2\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites44.6%
Taylor expanded in lambda1 around 0
unpow2N/A
unpow2N/A
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
Applied rewrites44.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (* -0.5 lambda2)))
(t_2 (sin (* 0.5 (- phi1 phi2)))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_2 t_2 (* (* 1.0 (cos phi1)) (* t_1 t_1))))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin((-0.5 * lambda2));
double t_2 = sin((0.5 * (phi1 - phi2)));
return R * (2.0 * atan2(sqrt(fma(t_2, t_2, ((1.0 * cos(phi1)) * (t_1 * t_1)))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * 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(-0.5 * lambda2)) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_2, t_2, Float64(Float64(1.0 * cos(phi1)) * Float64(t_1 * t_1)))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$2 + N[(N[(1.0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[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(-0.5 \cdot \lambda_2\right)\\
t_2 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_2, \left(1 \cdot \cos \phi_1\right) \cdot \left(t\_1 \cdot t\_1\right)\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites44.6%
Taylor expanded in phi2 around 0
Applied rewrites41.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (* -0.5 lambda2)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (sin (* -0.5 phi2)))
(t_4 (sin (* 0.5 (- phi1 phi2))))
(t_5 (* t_1 t_1)))
(if (or (<= phi1 -0.024) (not (<= phi1 2.7e-5)))
(*
R
(*
2.0
(atan2
(sqrt (* t_4 t_4))
(sqrt (- 1.0 (+ t_2 (* (cos phi1) (* (cos phi2) t_5))))))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_4
(+
t_3
(*
phi1
(fma
-0.125
(* phi1 t_3)
(* 0.5 (sin (fma -0.5 phi2 (/ PI 2.0)))))))
(* (* (cos phi2) (cos phi1)) t_5)))
(sqrt (- 1.0 (+ t_2 (* (* (* (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 = sin((-0.5 * lambda2));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = sin((-0.5 * phi2));
double t_4 = sin((0.5 * (phi1 - phi2)));
double t_5 = t_1 * t_1;
double tmp;
if ((phi1 <= -0.024) || !(phi1 <= 2.7e-5)) {
tmp = R * (2.0 * atan2(sqrt((t_4 * t_4)), sqrt((1.0 - (t_2 + (cos(phi1) * (cos(phi2) * t_5)))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_4, (t_3 + (phi1 * fma(-0.125, (phi1 * t_3), (0.5 * sin(fma(-0.5, phi2, (((double) M_PI) / 2.0))))))), ((cos(phi2) * cos(phi1)) * t_5))), sqrt((1.0 - (t_2 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(-0.5 * lambda2)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = sin(Float64(-0.5 * phi2)) t_4 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_5 = Float64(t_1 * t_1) tmp = 0.0 if ((phi1 <= -0.024) || !(phi1 <= 2.7e-5)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 * t_4)), sqrt(Float64(1.0 - Float64(t_2 + Float64(cos(phi1) * Float64(cos(phi2) * t_5)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_4, Float64(t_3 + Float64(phi1 * fma(-0.125, Float64(phi1 * t_3), Float64(0.5 * sin(fma(-0.5, phi2, Float64(pi / 2.0))))))), Float64(Float64(cos(phi2) * cos(phi1)) * t_5))), sqrt(Float64(1.0 - Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $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[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 * t$95$1), $MachinePrecision]}, If[Or[LessEqual[phi1, -0.024], N[Not[LessEqual[phi1, 2.7e-5]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 * N[(t$95$3 + N[(phi1 * N[(-0.125 * N[(phi1 * t$95$3), $MachinePrecision] + N[(0.5 * N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $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 \lambda_2\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_4 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_5 := t\_1 \cdot t\_1\\
\mathbf{if}\;\phi_1 \leq -0.024 \lor \neg \left(\phi_1 \leq 2.7 \cdot 10^{-5}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 \cdot t\_4}}{\sqrt{1 - \left(t\_2 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_3 + \phi_1 \cdot \mathsf{fma}\left(-0.125, \phi_1 \cdot t\_3, 0.5 \cdot \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\right), \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_5\right)}}{\sqrt{1 - \left(t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.024 or 2.6999999999999999e-5 < phi1 Initial program 45.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites38.4%
Taylor expanded in lambda2 around 0
pow2N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f6429.8
Applied rewrites29.8%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
pow2N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6430.5
Applied rewrites30.5%
if -0.024 < phi1 < 2.6999999999999999e-5Initial program 74.7%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites51.2%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lift-/.f64N/A
lift-PI.f64N/A
lower-fma.f6451.2
Applied rewrites51.2%
Final simplification40.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (- phi1 phi2)))) (t_1 (sin (* -0.5 lambda2))))
(*
R
(*
2.0
(atan2
(sqrt (* t_0 t_0))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (cos phi1) (* (cos phi2) (* t_1 t_1)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (phi1 - phi2)));
double t_1 = sin((-0.5 * lambda2));
return R * (2.0 * atan2(sqrt((t_0 * t_0)), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * (cos(phi2) * (t_1 * t_1))))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin((0.5d0 * (phi1 - phi2)))
t_1 = sin(((-0.5d0) * lambda2))
code = r * (2.0d0 * atan2(sqrt((t_0 * t_0)), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (cos(phi1) * (cos(phi2) * (t_1 * t_1))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((0.5 * (phi1 - phi2)));
double t_1 = Math.sin((-0.5 * lambda2));
return R * (2.0 * Math.atan2(Math.sqrt((t_0 * t_0)), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (Math.cos(phi1) * (Math.cos(phi2) * (t_1 * t_1))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((0.5 * (phi1 - phi2))) t_1 = math.sin((-0.5 * lambda2)) return R * (2.0 * math.atan2(math.sqrt((t_0 * t_0)), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (math.cos(phi1) * (math.cos(phi2) * (t_1 * t_1))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_1 = sin(Float64(-0.5 * lambda2)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 * t_0)), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 * t_1))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (phi1 - phi2))); t_1 = sin((-0.5 * lambda2)); tmp = R * (2.0 * atan2(sqrt((t_0 * t_0)), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (cos(phi1) * (cos(phi2) * (t_1 * t_1)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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)\\
t_1 := \sin \left(-0.5 \cdot \lambda_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot t\_0}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 \cdot t\_1\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites44.6%
Taylor expanded in lambda2 around 0
pow2N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f6429.7
Applied rewrites29.7%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
pow2N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6429.9
Applied rewrites29.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (- phi1 phi2))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1))
(t_3 (sin (* -0.5 phi2))))
(if (or (<= phi1 -3.8e-5) (not (<= phi1 0.00085)))
(*
R
(*
2.0
(atan2
(sqrt (* t_0 t_0))
(sqrt (- 1.0 (+ (pow (sin (* 0.5 phi1)) 2.0) t_2))))))
(*
R
(*
2.0
(atan2
(sqrt
(*
t_0
(+
t_3
(*
phi1
(fma
-0.125
(* phi1 t_3)
(* 0.5 (sin (fma -0.5 phi2 (/ PI 2.0)))))))))
(sqrt (- 1.0 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (phi1 - phi2)));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double t_3 = sin((-0.5 * phi2));
double tmp;
if ((phi1 <= -3.8e-5) || !(phi1 <= 0.00085)) {
tmp = R * (2.0 * atan2(sqrt((t_0 * t_0)), sqrt((1.0 - (pow(sin((0.5 * phi1)), 2.0) + t_2)))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 * (t_3 + (phi1 * fma(-0.125, (phi1 * t_3), (0.5 * sin(fma(-0.5, phi2, (((double) M_PI) / 2.0))))))))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_2)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) t_3 = sin(Float64(-0.5 * phi2)) tmp = 0.0 if ((phi1 <= -3.8e-5) || !(phi1 <= 0.00085)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 * t_0)), sqrt(Float64(1.0 - Float64((sin(Float64(0.5 * phi1)) ^ 2.0) + t_2)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 * Float64(t_3 + Float64(phi1 * fma(-0.125, Float64(phi1 * t_3), Float64(0.5 * sin(fma(-0.5, phi2, Float64(pi / 2.0))))))))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_2)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi1, -3.8e-5], N[Not[LessEqual[phi1, 0.00085]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(t$95$3 + N[(phi1 * N[(-0.125 * N[(phi1 * t$95$3), $MachinePrecision] + N[(0.5 * N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $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)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := \sin \left(-0.5 \cdot \phi_2\right)\\
\mathbf{if}\;\phi_1 \leq -3.8 \cdot 10^{-5} \lor \neg \left(\phi_1 \leq 0.00085\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot t\_0}}{\sqrt{1 - \left({\sin \left(0.5 \cdot \phi_1\right)}^{2} + t\_2\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(t\_3 + \phi_1 \cdot \mathsf{fma}\left(-0.125, \phi_1 \cdot t\_3, 0.5 \cdot \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\right)\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_2\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -3.8000000000000002e-5 or 8.49999999999999953e-4 < phi1 Initial program 45.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
pow2N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f6429.7
Applied rewrites29.7%
Taylor expanded in phi1 around inf
lower-*.f6429.0
Applied rewrites29.0%
if -3.8000000000000002e-5 < phi1 < 8.49999999999999953e-4Initial program 74.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites51.2%
Taylor expanded in lambda2 around 0
pow2N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f6429.8
Applied rewrites29.8%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lift-/.f64N/A
lift-PI.f64N/A
lower-fma.f6429.8
Applied rewrites29.8%
Final simplification29.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* -0.5 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(*
(sin (* 0.5 (- phi1 phi2)))
(+
t_0
(*
phi1
(fma
-0.125
(* phi1 t_0)
(* 0.5 (sin (fma -0.5 phi2 (/ PI 2.0)))))))))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((sin((0.5 * (phi1 - phi2))) * (t_0 + (phi1 * fma(-0.125, (phi1 * t_0), (0.5 * sin(fma(-0.5, phi2, (((double) M_PI) / 2.0))))))))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(sin(Float64(0.5 * Float64(phi1 - phi2))) * Float64(t_0 + Float64(phi1 * fma(-0.125, Float64(phi1 * t_0), Float64(0.5 * sin(fma(-0.5, phi2, Float64(pi / 2.0))))))))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(t$95$0 + N[(phi1 * N[(-0.125 * N[(phi1 * t$95$0), $MachinePrecision] + N[(0.5 * N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right) \cdot \left(t\_0 + \phi_1 \cdot \mathsf{fma}\left(-0.125, \phi_1 \cdot t\_0, 0.5 \cdot \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\right)\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites44.6%
Taylor expanded in lambda2 around 0
pow2N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f6429.7
Applied rewrites29.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lift-/.f64N/A
lift-PI.f64N/A
lower-fma.f6417.8
Applied rewrites17.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* -0.5 phi2)))
(t_1 (sin (fma 0.5 lambda1 (/ PI 2.0))))
(t_2 (sin (* 0.5 (- phi1 phi2))))
(t_3 (sin (* 0.5 lambda1)))
(t_4 (* t_3 t_3)))
(*
R
(*
2.0
(atan2
(sqrt
(*
t_2
(+
t_0
(*
phi1
(fma
-0.125
(* phi1 t_0)
(* 0.5 (sin (fma -0.5 phi2 (/ PI 2.0)))))))))
(sqrt
(-
(-
1.0
(*
lambda2
(-
(*
lambda2
(* (cos phi1) (* (cos phi2) (fma -0.25 t_4 (* 0.25 (* t_1 t_1))))))
(* (* -1.0 (cos phi1)) (* (* -1.0 (cos phi2)) (* t_1 t_3))))))
(fma (cos phi1) (* (cos phi2) t_4) (* t_2 t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * phi2));
double t_1 = sin(fma(0.5, lambda1, (((double) M_PI) / 2.0)));
double t_2 = sin((0.5 * (phi1 - phi2)));
double t_3 = sin((0.5 * lambda1));
double t_4 = t_3 * t_3;
return R * (2.0 * atan2(sqrt((t_2 * (t_0 + (phi1 * fma(-0.125, (phi1 * t_0), (0.5 * sin(fma(-0.5, phi2, (((double) M_PI) / 2.0))))))))), sqrt(((1.0 - (lambda2 * ((lambda2 * (cos(phi1) * (cos(phi2) * fma(-0.25, t_4, (0.25 * (t_1 * t_1)))))) - ((-1.0 * cos(phi1)) * ((-1.0 * cos(phi2)) * (t_1 * t_3)))))) - fma(cos(phi1), (cos(phi2) * t_4), (t_2 * t_2))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) t_1 = sin(fma(0.5, lambda1, Float64(pi / 2.0))) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_3 = sin(Float64(0.5 * lambda1)) t_4 = Float64(t_3 * t_3) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 * Float64(t_0 + Float64(phi1 * fma(-0.125, Float64(phi1 * t_0), Float64(0.5 * sin(fma(-0.5, phi2, Float64(pi / 2.0))))))))), sqrt(Float64(Float64(1.0 - Float64(lambda2 * Float64(Float64(lambda2 * Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.25, t_4, Float64(0.25 * Float64(t_1 * t_1)))))) - Float64(Float64(-1.0 * cos(phi1)) * Float64(Float64(-1.0 * cos(phi2)) * Float64(t_1 * t_3)))))) - fma(cos(phi1), Float64(cos(phi2) * t_4), Float64(t_2 * t_2))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * lambda1 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * t$95$3), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 * N[(t$95$0 + N[(phi1 * N[(-0.125 * N[(phi1 * t$95$0), $MachinePrecision] + N[(0.5 * N[Sin[N[(-0.5 * phi2 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(lambda2 * N[(N[(lambda2 * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.25 * t$95$4 + N[(0.25 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-1.0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(-1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$4), $MachinePrecision] + N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := \sin \left(\mathsf{fma}\left(0.5, \lambda_1, \frac{\pi}{2}\right)\right)\\
t_2 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_3 := \sin \left(0.5 \cdot \lambda_1\right)\\
t_4 := t\_3 \cdot t\_3\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_0 + \phi_1 \cdot \mathsf{fma}\left(-0.125, \phi_1 \cdot t\_0, 0.5 \cdot \sin \left(\mathsf{fma}\left(-0.5, \phi_2, \frac{\pi}{2}\right)\right)\right)\right)}}{\sqrt{\left(1 - \lambda_2 \cdot \left(\lambda_2 \cdot \left(\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.25, t\_4, 0.25 \cdot \left(t\_1 \cdot t\_1\right)\right)\right)\right) - \left(-1 \cdot \cos \phi_1\right) \cdot \left(\left(-1 \cdot \cos \phi_2\right) \cdot \left(t\_1 \cdot t\_3\right)\right)\right)\right) - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_4, t\_2 \cdot t\_2\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift--.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites44.6%
Taylor expanded in lambda2 around 0
pow2N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f6429.7
Applied rewrites29.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
sin-+PI/2-revN/A
lower-sin.f64N/A
lift-/.f64N/A
lift-PI.f64N/A
lower-fma.f6417.8
Applied rewrites17.8%
Taylor expanded in lambda2 around 0
Applied rewrites14.0%
Final simplification14.0%
herbie shell --seed 2025065
(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))))))))))