
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Herbie found 29 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0))
(t_1 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_1 t_0))
(sqrt (- 1.0 (+ (* (cos phi1) t_1) t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0);
double t_1 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_1, t_0)), sqrt((1.0 - ((cos(phi1) * t_1) + t_0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0 t_1 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_1, t_0)), sqrt(Float64(1.0 - Float64(Float64(cos(phi1) * t_1) + t_0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_1 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, t\_0\right)}}{\sqrt{1 - \left(\cos \phi_1 \cdot t\_1 + t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.3
Applied rewrites62.3%
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--.f6477.8
Applied rewrites77.8%
Taylor expanded in lambda1 around 0
Applied rewrites77.8%
Applied rewrites77.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0))
(t_1
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
t_0)))
(t_2
(*
R
(*
2.0
(atan2
t_1
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
t_0))))))))
(if (<= lambda2 -2.55e-5)
t_2
(if (<= lambda2 7.2e-5)
(*
R
(*
2.0
(atan2
t_1
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
t_0))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0);
double t_1 = sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), t_0));
double t_2 = R * (2.0 * atan2(t_1, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), t_0)))));
double tmp;
if (lambda2 <= -2.55e-5) {
tmp = t_2;
} else if (lambda2 <= 7.2e-5) {
tmp = R * (2.0 * atan2(t_1, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), t_0)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0 t_1 = sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), t_0)) t_2 = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_0)))))) tmp = 0.0 if (lambda2 <= -2.55e-5) tmp = t_2; elseif (lambda2 <= 7.2e-5) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), t_0)))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -2.55e-5], t$95$2, If[LessEqual[lambda2, 7.2e-5], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_1 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, t\_0\right)}\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_0\right)}}\right)\\
\mathbf{if}\;\lambda_2 \leq -2.55 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_2 \leq 7.2 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda2 < -2.54999999999999998e-5 or 7.20000000000000018e-5 < lambda2 Initial program 46.8%
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-/.f6447.8
Applied rewrites47.8%
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--.f6458.3
Applied rewrites58.3%
Taylor expanded in lambda1 around 0
Applied rewrites58.3%
Taylor expanded in lambda1 around 0
lower-*.f6458.1
Applied rewrites58.1%
if -2.54999999999999998e-5 < lambda2 < 7.20000000000000018e-5Initial program 76.6%
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-/.f6477.5
Applied rewrites77.5%
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--.f6498.1
Applied rewrites98.1%
Taylor expanded in lambda1 around 0
Applied rewrites98.1%
Taylor expanded in lambda1 around inf
Applied rewrites98.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi2)))
(t_1 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_2 (sin (* 0.5 phi1)))
(t_3 (* (cos (* 0.5 phi2)) t_2))
(t_4 (* (cos (* 0.5 phi1)) t_0))
(t_5 (pow (- t_3 t_4) 2.0))
(t_6 (fma (cos phi1) t_1 t_5))
(t_7 (sqrt (- 1.0 t_6))))
(if (<= lambda1 -0.00155)
(*
R
(* 2.0 (atan2 (sqrt (fma (cos phi1) t_1 (pow (- t_2 t_4) 2.0))) t_7)))
(if (<= lambda1 0.165)
(*
R
(*
2.0
(atan2
(sqrt t_6)
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
t_5))))))
(*
R
(*
2.0
(atan2 (sqrt (fma (cos phi1) t_1 (pow (- t_3 t_0) 2.0))) t_7)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi2));
double t_1 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sin((0.5 * phi1));
double t_3 = cos((0.5 * phi2)) * t_2;
double t_4 = cos((0.5 * phi1)) * t_0;
double t_5 = pow((t_3 - t_4), 2.0);
double t_6 = fma(cos(phi1), t_1, t_5);
double t_7 = sqrt((1.0 - t_6));
double tmp;
if (lambda1 <= -0.00155) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_1, pow((t_2 - t_4), 2.0))), t_7));
} else if (lambda1 <= 0.165) {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), t_5)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_1, pow((t_3 - t_0), 2.0))), t_7));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi2)) t_1 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_2 = sin(Float64(0.5 * phi1)) t_3 = Float64(cos(Float64(0.5 * phi2)) * t_2) t_4 = Float64(cos(Float64(0.5 * phi1)) * t_0) t_5 = Float64(t_3 - t_4) ^ 2.0 t_6 = fma(cos(phi1), t_1, t_5) t_7 = sqrt(Float64(1.0 - t_6)) tmp = 0.0 if (lambda1 <= -0.00155) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_1, (Float64(t_2 - t_4) ^ 2.0))), t_7))); elseif (lambda1 <= 0.165) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_5)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_1, (Float64(t_3 - t_0) ^ 2.0))), t_7))); 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[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(t$95$3 - t$95$4), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -0.00155], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[(t$95$2 - t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$7], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 0.165], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[(t$95$3 - t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$7], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_2\right)\\
t_1 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \sin \left(0.5 \cdot \phi_1\right)\\
t_3 := \cos \left(0.5 \cdot \phi_2\right) \cdot t\_2\\
t_4 := \cos \left(0.5 \cdot \phi_1\right) \cdot t\_0\\
t_5 := {\left(t\_3 - t\_4\right)}^{2}\\
t_6 := \mathsf{fma}\left(\cos \phi_1, t\_1, t\_5\right)\\
t_7 := \sqrt{1 - t\_6}\\
\mathbf{if}\;\lambda_1 \leq -0.00155:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\left(t\_2 - t\_4\right)}^{2}\right)}}{t\_7}\right)\\
\mathbf{elif}\;\lambda_1 \leq 0.165:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\left(t\_3 - t\_0\right)}^{2}\right)}}{t\_7}\right)\\
\end{array}
\end{array}
if lambda1 < -0.00154999999999999995Initial program 48.0%
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-/.f6449.0
Applied rewrites49.0%
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--.f6459.2
Applied rewrites59.2%
Taylor expanded in lambda1 around 0
Applied rewrites59.2%
Taylor expanded in phi2 around 0
lift-sin.f64N/A
lift-*.f6449.6
Applied rewrites49.6%
if -0.00154999999999999995 < lambda1 < 0.165000000000000008Initial program 75.8%
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-/.f6476.7
Applied rewrites76.7%
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--.f6497.5
Applied rewrites97.5%
Taylor expanded in lambda1 around 0
Applied rewrites97.5%
Taylor expanded in lambda1 around 0
lower-*.f6497.2
Applied rewrites97.2%
if 0.165000000000000008 < lambda1 Initial program 46.7%
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-/.f6447.7
Applied rewrites47.7%
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--.f6457.9
Applied rewrites57.9%
Taylor expanded in lambda1 around 0
Applied rewrites57.8%
Taylor expanded in phi1 around 0
lift-sin.f64N/A
lift-*.f6448.1
Applied rewrites48.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.3
Applied rewrites62.3%
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--.f6477.8
Applied rewrites77.8%
Taylor expanded in lambda1 around 0
Applied rewrites77.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (* 0.5 phi2)))
(t_2 (cos (* 0.5 phi2)))
(t_3
(pow (- (* t_2 (sin (* 0.5 phi1))) (* (cos (* 0.5 phi1)) t_1)) 2.0))
(t_4 (fma (cos phi1) (* (cos phi2) t_0) t_3))
(t_5
(*
R
(* 2.0 (atan2 (sqrt (fma (cos phi1) t_0 t_3)) (sqrt (- 1.0 t_4)))))))
(if (<= phi1 -2.2e-6)
t_5
(if (<= phi1 5.5e-6)
(*
R
(*
2.0
(atan2
(sqrt t_4)
(sqrt
(-
(+ 1.0 (* phi1 (* t_2 t_1)))
(fma (cos phi2) t_0 (pow t_1 2.0)))))))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin((0.5 * phi2));
double t_2 = cos((0.5 * phi2));
double t_3 = pow(((t_2 * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * t_1)), 2.0);
double t_4 = fma(cos(phi1), (cos(phi2) * t_0), t_3);
double t_5 = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, t_3)), sqrt((1.0 - t_4))));
double tmp;
if (phi1 <= -2.2e-6) {
tmp = t_5;
} else if (phi1 <= 5.5e-6) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt(((1.0 + (phi1 * (t_2 * t_1))) - fma(cos(phi2), t_0, pow(t_1, 2.0))))));
} else {
tmp = t_5;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(0.5 * phi2)) t_2 = cos(Float64(0.5 * phi2)) t_3 = Float64(Float64(t_2 * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * t_1)) ^ 2.0 t_4 = fma(cos(phi1), Float64(cos(phi2) * t_0), t_3) t_5 = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, t_3)), sqrt(Float64(1.0 - t_4))))) tmp = 0.0 if (phi1 <= -2.2e-6) tmp = t_5; elseif (phi1 <= 5.5e-6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(Float64(1.0 + Float64(phi1 * Float64(t_2 * t_1))) - fma(cos(phi2), t_0, (t_1 ^ 2.0))))))); else tmp = t_5; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[(t$95$2 * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.2e-6], t$95$5, If[LessEqual[phi1, 5.5e-6], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(phi1 * N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(0.5 \cdot \phi_2\right)\\
t_2 := \cos \left(0.5 \cdot \phi_2\right)\\
t_3 := {\left(t\_2 \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_1\right)}^{2}\\
t_4 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, t\_3\right)\\
t_5 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, t\_3\right)}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{if}\;\phi_1 \leq -2.2 \cdot 10^{-6}:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\phi_1 \leq 5.5 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{\left(1 + \phi_1 \cdot \left(t\_2 \cdot t\_1\right)\right) - \mathsf{fma}\left(\cos \phi_2, t\_0, {t\_1}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if phi1 < -2.2000000000000001e-6 or 5.4999999999999999e-6 < phi1 Initial program 46.4%
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-/.f6448.3
Applied rewrites48.3%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6478.1
Applied rewrites78.1%
Taylor expanded in lambda1 around 0
Applied rewrites78.1%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6458.8
Applied rewrites58.8%
if -2.2000000000000001e-6 < phi1 < 5.4999999999999999e-6Initial program 77.2%
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-/.f6477.2
Applied rewrites77.2%
lift-sin.f64N/A
lift--.f64N/A
lift-/.f64N/A
div-subN/A
sin-diff-revN/A
lift-sin.f64N/A
lift-/.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift--.f6477.5
Applied rewrites77.5%
Taylor expanded in lambda1 around 0
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower--.f64N/A
Applied rewrites77.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_1 (sin (* 0.5 phi2)))
(t_2 (* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
(t_3 (pow (- t_2 (* (cos (* 0.5 phi1)) t_1)) 2.0))
(t_4 (sqrt (- 1.0 (fma (cos phi1) t_0 t_3)))))
(if (<= phi2 -50000000000000.0)
(* R (* 2.0 (atan2 (sqrt (fma 1.0 t_0 t_3)) t_4)))
(*
R
(* 2.0 (atan2 (sqrt (fma (cos phi1) t_0 (pow (- t_2 t_1) 2.0))) t_4))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin((0.5 * phi2));
double t_2 = cos((0.5 * phi2)) * sin((0.5 * phi1));
double t_3 = pow((t_2 - (cos((0.5 * phi1)) * t_1)), 2.0);
double t_4 = sqrt((1.0 - fma(cos(phi1), t_0, t_3)));
double tmp;
if (phi2 <= -50000000000000.0) {
tmp = R * (2.0 * atan2(sqrt(fma(1.0, t_0, t_3)), t_4));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow((t_2 - t_1), 2.0))), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_1 = sin(Float64(0.5 * phi2)) t_2 = Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) t_3 = Float64(t_2 - Float64(cos(Float64(0.5 * phi1)) * t_1)) ^ 2.0 t_4 = sqrt(Float64(1.0 - fma(cos(phi1), t_0, t_3))) tmp = 0.0 if (phi2 <= -50000000000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(1.0, t_0, t_3)), t_4))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (Float64(t_2 - t_1) ^ 2.0))), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(t$95$2 - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -50000000000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(1.0 * t$95$0 + t$95$3), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[(t$95$2 - t$95$1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(0.5 \cdot \phi_2\right)\\
t_2 := \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_3 := {\left(t\_2 - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_1\right)}^{2}\\
t_4 := \sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, t\_3\right)}\\
\mathbf{if}\;\phi_2 \leq -50000000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, t\_0, t\_3\right)}}{t\_4}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\left(t\_2 - t\_1\right)}^{2}\right)}}{t\_4}\right)\\
\end{array}
\end{array}
if phi2 < -5e13Initial program 45.3%
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-/.f6447.1
Applied rewrites47.1%
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--.f6477.7
Applied rewrites77.7%
Taylor expanded in lambda1 around 0
Applied rewrites77.7%
Taylor expanded in phi1 around 0
Applied rewrites58.3%
if -5e13 < phi2 Initial program 66.4%
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-/.f6467.1
Applied rewrites67.1%
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--.f6477.8
Applied rewrites77.8%
Taylor expanded in lambda1 around 0
Applied rewrites77.8%
Taylor expanded in phi1 around 0
lift-sin.f64N/A
lift-*.f6467.4
Applied rewrites67.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
(t_1 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_2 (sin (* 0.5 phi2))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_1 (pow (- t_0 t_2) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
t_1
(pow (- t_0 (* (cos (* 0.5 phi1)) t_2)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((0.5 * phi2)) * sin((0.5 * phi1));
double t_1 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sin((0.5 * phi2));
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_1, pow((t_0 - t_2), 2.0))), sqrt((1.0 - fma(cos(phi1), t_1, pow((t_0 - (cos((0.5 * phi1)) * t_2)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) t_1 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_2 = sin(Float64(0.5 * phi2)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_1, (Float64(t_0 - t_2) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_1, (Float64(t_0 - Float64(cos(Float64(0.5 * phi1)) * t_2)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[(t$95$0 - t$95$2), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[(t$95$0 - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \sin \left(0.5 \cdot \phi_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\left(t\_0 - t\_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, {\left(t\_0 - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_2\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.3
Applied rewrites62.3%
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--.f6477.8
Applied rewrites77.8%
Taylor expanded in lambda1 around 0
Applied rewrites77.8%
Taylor expanded in phi1 around 0
lift-sin.f64N/A
lift-*.f6462.9
Applied rewrites62.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1 (* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
(t_2 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_2 (pow (- t_0 t_1) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi1)
t_2
(pow (- (* (cos (* 0.5 phi2)) t_0) t_1) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = cos((0.5 * phi1)) * sin((0.5 * phi2));
double t_2 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_2, pow((t_0 - t_1), 2.0))), sqrt((1.0 - fma(cos(phi1), t_2, pow(((cos((0.5 * phi2)) * t_0) - t_1), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2))) t_2 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_2, (Float64(t_0 - t_1) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_2, (Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - t_1) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + N[Power[N[(t$95$0 - t$95$1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - t$95$1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\\
t_2 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_2, {\left(t\_0 - t\_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_2, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_0 - t\_1\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-/.f6462.3
Applied rewrites62.3%
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--.f6477.8
Applied rewrites77.8%
Taylor expanded in lambda1 around 0
Applied rewrites77.8%
Taylor expanded in phi2 around 0
lift-sin.f64N/A
lift-*.f6462.9
Applied rewrites62.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4
(fma (* (cos phi2) (cos phi1)) (- 0.5 (* 0.5 (cos (* 2.0 t_1)))) t_3))
(t_5 (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(if (<= (+ t_3 t_5) 0.008)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(+
t_0
(* phi2 (fma -0.5 (cos (* 0.5 phi1)) (* -0.125 (* phi2 t_0)))))
2.0)
t_5))
(sqrt (- 1.0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))
(* (* (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_1)))), t_3);
double t_5 = ((cos(phi1) * cos(phi2)) * t_2) * t_2;
double tmp;
if ((t_3 + t_5) <= 0.008) {
tmp = R * (2.0 * atan2(sqrt((pow((t_0 + (phi2 * fma(-0.5, cos((0.5 * phi1)), (-0.125 * (phi2 * t_0))))), 2.0) + t_5)), sqrt((1.0 - pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))));
} else {
tmp = (atan2(sqrt(t_4), sqrt((1.0 - t_4))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) t_3 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_4 = fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))), t_3) t_5 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2) tmp = 0.0 if (Float64(t_3 + t_5) <= 0.008) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(t_0 + Float64(phi2 * fma(-0.5, cos(Float64(0.5 * phi1)), Float64(-0.125 * Float64(phi2 * t_0))))) ^ 2.0) + t_5)), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))); else tmp = Float64(Float64(atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]}, If[LessEqual[N[(t$95$3 + t$95$5), $MachinePrecision], 0.008], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$0 + N[(phi2 * N[(-0.5 * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] + N[(-0.125 * N[(phi2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right), t\_3\right)\\
t_5 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
\mathbf{if}\;t\_3 + t\_5 \leq 0.008:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_0 + \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(0.5 \cdot \phi_1\right), -0.125 \cdot \left(\phi_2 \cdot t\_0\right)\right)\right)}^{2} + t\_5}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0080000000000000002Initial program 69.0%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites64.3%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6462.8
Applied rewrites62.8%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6465.9
Applied rewrites65.9%
if 0.0080000000000000002 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.4%
Applied rewrites60.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_3 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(if (<= (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_3) 0.008)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(+
t_0
(* phi2 (fma -0.5 (cos (* 0.5 phi1)) (* -0.125 (* phi2 t_0)))))
2.0)
t_3))
(sqrt (- 1.0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))
(* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_3 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_3) <= 0.008) {
tmp = R * (2.0 * atan2(sqrt((pow((t_0 + (phi2 * fma(-0.5, cos((0.5 * phi1)), (-0.125 * (phi2 * t_0))))), 2.0) + t_3)), sqrt((1.0 - pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))));
} else {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - t_2))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_3 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_3) <= 0.008) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(t_0 + Float64(phi2 * fma(-0.5, cos(Float64(0.5 * phi1)), Float64(-0.125 * Float64(phi2 * t_0))))) ^ 2.0) + t_3)), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))); else tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision], 0.008], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$0 + N[(phi2 * N[(-0.5 * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] + N[(-0.125 * N[(phi2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_3 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_3 \leq 0.008:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_0 + \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(0.5 \cdot \phi_1\right), -0.125 \cdot \left(\phi_2 \cdot t\_0\right)\right)\right)}^{2} + t\_3}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0080000000000000002Initial program 69.0%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites64.3%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6462.8
Applied rewrites62.8%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6465.9
Applied rewrites65.9%
if 0.0080000000000000002 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.4%
Applied rewrites60.4%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites60.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.008)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (* (* (+ 1.0 (* -0.5 (* phi1 phi1))) (cos phi2)) t_1) t_1)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.008) {
tmp = R * (2.0 * atan2(sqrt((t_2 + ((((1.0 + (-0.5 * (phi1 * phi1))) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))));
} else {
tmp = (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.008) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))); else tmp = Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$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]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.008], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.008:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\left(1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right)\right) \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0080000000000000002Initial program 69.0%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites64.3%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6462.8
Applied rewrites62.8%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6463.5
Applied rewrites63.5%
if 0.0080000000000000002 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.4%
Applied rewrites60.4%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites60.4%
(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 61.4%
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-/.f6462.3
Applied rewrites62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (sin (/ (- phi1 phi2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow t_2 2.0) (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
1.0
(fma
t_2
t_2
(*
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_0)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = sin(t_0);
double t_2 = sin(((phi1 - phi2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(t_2, 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma(t_2, t_2, ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0))))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((t_2 ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(t_2, t_2, Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[t$95$2, 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 * t$95$2 + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{t\_2}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(t\_2, t\_2, \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites61.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
(- 1.0 t_2)
(* (* (cos phi2) (cos phi1)) (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = sin(t_0);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - t_2) - ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0)))))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = (lambda1 - lambda2) / 2.0d0
t_1 = sin(t_0)
t_2 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0d0 - t_2) - ((cos(phi2) * cos(phi1)) * (0.5d0 - (0.5d0 * cos((2.0d0 * t_0)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = Math.sin(t_0);
double t_2 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_2 + (((Math.cos(phi1) * Math.cos(phi2)) * t_1) * t_1))), Math.sqrt(((1.0 - t_2) - ((Math.cos(phi2) * Math.cos(phi1)) * (0.5 - (0.5 * Math.cos((2.0 * t_0)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (lambda1 - lambda2) / 2.0 t_1 = math.sin(t_0) t_2 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_2 + (((math.cos(phi1) * math.cos(phi2)) * t_1) * t_1))), math.sqrt(((1.0 - t_2) - ((math.cos(phi2) * math.cos(phi1)) * (0.5 - (0.5 * math.cos((2.0 * t_0)))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(Float64(1.0 - t_2) - Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (lambda1 - lambda2) / 2.0; t_1 = sin(t_0); t_2 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(((1.0 - t_2) - ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * t_0))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$2), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{\left(1 - t\_2\right) - \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
Applied rewrites61.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1))
(t_3 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_4 (sqrt (- 1.0 t_3))))
(if (<= t_2 -5e-15)
(* R (* 2.0 (atan2 (sqrt (+ t_0 (* (cos phi1) t_3))) t_4)))
(if (<= t_2 1e-22)
(*
(*
(atan2
(sqrt
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))
t_0))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
2.0)
R)
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
t_4)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
double t_3 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_4 = sqrt((1.0 - t_3));
double tmp;
if (t_2 <= -5e-15) {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * t_3))), t_4));
} else if (t_2 <= 1e-22) {
tmp = (atan2(sqrt(fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_1)))), t_0)), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 + (((cos(phi1) * cos(phi2)) * t_2) * t_2))), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) t_3 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_4 = sqrt(Float64(1.0 - t_3)) tmp = 0.0 if (t_2 <= -5e-15) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * t_3))), t_4))); elseif (t_2 <= 1e-22) tmp = Float64(Float64(atan(sqrt(fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))), t_0)), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2))), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, -5e-15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 1e-22], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
t_3 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_4 := \sqrt{1 - t\_3}\\
\mathbf{if}\;t\_2 \leq -5 \cdot 10^{-15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot t\_3}}{t\_4}\right)\\
\mathbf{elif}\;t\_2 \leq 10^{-22}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right), t\_0\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2}}{t\_4}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -4.99999999999999999e-15Initial program 56.7%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites39.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6433.7
Applied rewrites33.7%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6433.6
Applied rewrites33.6%
if -4.99999999999999999e-15 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 1e-22Initial program 76.5%
Applied rewrites67.4%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites67.4%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6467.4
Applied rewrites67.4%
if 1e-22 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 57.4%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites40.2%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6433.6
Applied rewrites33.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_3 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (<= phi1 -5e-18)
(* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_1))) 2.0) R)
(if (<= phi1 6.6e-7)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_3 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 (fma (cos phi2) t_3 (pow (sin (* 0.5 phi2)) 2.0)))))))
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_2))) 2.0) R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_3 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if (phi1 <= -5e-18) {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - t_1))) * 2.0) * R;
} else if (phi1 <= 6.6e-7) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_3, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - fma(cos(phi2), t_3, pow(sin((0.5 * phi2)), 2.0))))));
} else {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_2))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_3 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if (phi1 <= -5e-18) tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_1))) * 2.0) * R); elseif (phi1 <= 6.6e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_3, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), t_3, (sin(Float64(0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_2))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -5e-18], N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi1, 6.6e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$3 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$3 + N[Power[N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -5 \cdot 10^{-18}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_1 \leq 6.6 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_3, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_3, {\sin \left(0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -5.00000000000000036e-18Initial program 47.9%
Applied rewrites47.9%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites47.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6447.6
Applied rewrites47.6%
if -5.00000000000000036e-18 < phi1 < 6.6000000000000003e-7Initial program 77.2%
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-/.f6477.2
Applied rewrites77.2%
Taylor expanded in phi1 around 0
unpow2N/A
unpow2N/A
div-subN/A
sin-diff-revN/A
lower-fma.f64N/A
Applied rewrites74.9%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6474.9
Applied rewrites74.9%
if 6.6000000000000003e-7 < phi1 Initial program 46.2%
Applied rewrites46.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.2%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6446.8
Applied rewrites46.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))
(if (<= phi1 -1.3e-5)
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_1))) 2.0) R)
(if (<= phi1 0.0019)
(*
(*
(atan2
(sqrt (fma (cos phi2) t_4 t_2))
(sqrt (- 1.0 (fma (* (cos phi2) (cos phi1)) t_4 t_2))))
2.0)
R)
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_3))) 2.0) R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_4 = 0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))));
double tmp;
if (phi1 <= -1.3e-5) {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_1))) * 2.0) * R;
} else if (phi1 <= 0.0019) {
tmp = (atan2(sqrt(fma(cos(phi2), t_4, t_2)), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), t_4, t_2)))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_3))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_4 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))) tmp = 0.0 if (phi1 <= -1.3e-5) tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_1))) * 2.0) * R); elseif (phi1 <= 0.0019) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_4, t_2)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), t_4, t_2)))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_3))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.3e-5], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi1, 0.0019], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$4 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$4 + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -1.3 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_1 \leq 0.0019:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_4, t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, t\_4, t\_2\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_3}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -1.29999999999999992e-5Initial program 46.7%
Applied rewrites46.8%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6447.5
Applied rewrites47.5%
if -1.29999999999999992e-5 < phi1 < 0.0019Initial program 77.1%
Applied rewrites72.0%
Taylor expanded in phi1 around 0
lift-cos.f6471.9
Applied rewrites71.9%
if 0.0019 < phi1 Initial program 46.0%
Applied rewrites46.0%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6446.7
Applied rewrites46.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_2 (/ (- lambda1 lambda2) 2.0))
(t_3
(*
(*
(atan2
(sqrt (fma (cos phi1) t_1 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (fma (cos phi1) (* (cos phi2) t_1) t_0))))
2.0)
R)))
(if (<= t_2 -1000.0)
t_3
(if (<= t_2 0.5)
(*
(*
(atan2
(sqrt
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_2))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 t_0)))
2.0)
R)
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_2 = (lambda1 - lambda2) / 2.0;
double t_3 = (atan2(sqrt(fma(cos(phi1), t_1, pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_1), t_0)))) * 2.0) * R;
double tmp;
if (t_2 <= -1000.0) {
tmp = t_3;
} else if (t_2 <= 0.5) {
tmp = (atan2(sqrt(fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_2)))), pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - t_0))) * 2.0) * R;
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = Float64(Float64(lambda1 - lambda2) / 2.0) t_3 = Float64(Float64(atan(sqrt(fma(cos(phi1), t_1, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_1), t_0)))) * 2.0) * R) tmp = 0.0 if (t_2 <= -1000.0) tmp = t_3; elseif (t_2 <= 0.5) tmp = Float64(Float64(atan(sqrt(fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))), (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - t_0))) * 2.0) * R); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[t$95$2, -1000.0], t$95$3, If[LessEqual[t$95$2, 0.5], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \frac{\lambda_1 - \lambda_2}{2}\\
t_3 := \left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, t\_0\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;t\_2 \leq -1000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;t\_2 \leq 0.5:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right), {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -1e3 or 0.5 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 56.5%
Applied rewrites56.4%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites56.4%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6445.3
Applied rewrites45.3%
if -1e3 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 0.5Initial program 76.0%
Applied rewrites66.4%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites65.5%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6464.9
Applied rewrites64.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_3 (* (cos phi2) t_0))
(t_4 (fma (cos phi1) t_3 t_2))
(t_5 (sqrt (- 1.0 t_4))))
(if (<= phi1 -1.3e-5)
(* (* (atan2 (sqrt t_4) (sqrt (- 1.0 t_1))) 2.0) R)
(if (<= phi1 0.0019)
(* (* (atan2 (sqrt (fma 1.0 t_3 t_2)) t_5) 2.0) R)
(* (* (atan2 (sqrt t_1) t_5) 2.0) R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_3 = cos(phi2) * t_0;
double t_4 = fma(cos(phi1), t_3, t_2);
double t_5 = sqrt((1.0 - t_4));
double tmp;
if (phi1 <= -1.3e-5) {
tmp = (atan2(sqrt(t_4), sqrt((1.0 - t_1))) * 2.0) * R;
} else if (phi1 <= 0.0019) {
tmp = (atan2(sqrt(fma(1.0, t_3, t_2)), t_5) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_1), t_5) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_3 = Float64(cos(phi2) * t_0) t_4 = fma(cos(phi1), t_3, t_2) t_5 = sqrt(Float64(1.0 - t_4)) tmp = 0.0 if (phi1 <= -1.3e-5) tmp = Float64(Float64(atan(sqrt(t_4), sqrt(Float64(1.0 - t_1))) * 2.0) * R); elseif (phi1 <= 0.0019) tmp = Float64(Float64(atan(sqrt(fma(1.0, t_3, t_2)), t_5) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_1), t_5) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * t$95$3 + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -1.3e-5], N[(N[(N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi1, 0.0019], N[(N[(N[ArcTan[N[Sqrt[N[(1.0 * t$95$3 + t$95$2), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / t$95$5], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_3 := \cos \phi_2 \cdot t\_0\\
t_4 := \mathsf{fma}\left(\cos \phi_1, t\_3, t\_2\right)\\
t_5 := \sqrt{1 - t\_4}\\
\mathbf{if}\;\phi_1 \leq -1.3 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_1 \leq 0.0019:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, t\_3, t\_2\right)}}{t\_5} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{t\_5} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi1 < -1.29999999999999992e-5Initial program 46.7%
Applied rewrites46.8%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6447.5
Applied rewrites47.5%
if -1.29999999999999992e-5 < phi1 < 0.0019Initial program 77.1%
Applied rewrites72.0%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites72.0%
Taylor expanded in phi1 around 0
Applied rewrites71.9%
if 0.0019 < phi1 Initial program 46.0%
Applied rewrites46.0%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.0%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6446.7
Applied rewrites46.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_2 (fma (cos phi1) (* (cos phi2) t_1) t_0))
(t_3 (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0)))
(t_4 (sqrt t_2)))
(if (<= phi2 -0.000115)
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_2))) 2.0) R)
(if (<= phi2 1.28e-5)
(* (* (atan2 t_4 (sqrt (- 1.0 (fma (cos phi1) t_1 t_0)))) 2.0) R)
(* (* (atan2 t_4 (sqrt (- 1.0 t_3))) 2.0) R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_2 = fma(cos(phi1), (cos(phi2) * t_1), t_0);
double t_3 = fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0));
double t_4 = sqrt(t_2);
double tmp;
if (phi2 <= -0.000115) {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_2))) * 2.0) * R;
} else if (phi2 <= 1.28e-5) {
tmp = (atan2(t_4, sqrt((1.0 - fma(cos(phi1), t_1, t_0)))) * 2.0) * R;
} else {
tmp = (atan2(t_4, sqrt((1.0 - t_3))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = fma(cos(phi1), Float64(cos(phi2) * t_1), t_0) t_3 = fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_4 = sqrt(t_2) tmp = 0.0 if (phi2 <= -0.000115) tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_2))) * 2.0) * R); elseif (phi2 <= 1.28e-5) tmp = Float64(Float64(atan(t_4, sqrt(Float64(1.0 - fma(cos(phi1), t_1, t_0)))) * 2.0) * R); else tmp = Float64(Float64(atan(t_4, sqrt(Float64(1.0 - t_3))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[t$95$2], $MachinePrecision]}, If[LessEqual[phi2, -0.000115], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi2, 1.28e-5], N[(N[(N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_1 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, t\_0\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_4 := \sqrt{t\_2}\\
\mathbf{if}\;\phi_2 \leq -0.000115:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_2 \leq 1.28 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_4}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, t\_0\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_4}{\sqrt{1 - t\_3}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi2 < -1.15e-4Initial program 45.2%
Applied rewrites45.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites45.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6445.9
Applied rewrites45.9%
if -1.15e-4 < phi2 < 1.2799999999999999e-5Initial program 77.2%
Applied rewrites72.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites72.2%
Taylor expanded in phi2 around 0
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f6472.2
Applied rewrites72.2%
if 1.2799999999999999e-5 < phi2 Initial program 46.3%
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.3%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6447.1
Applied rewrites47.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (sqrt t_1)))
(if (<= phi2 -7.5e-6)
(* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_1))) 2.0) R)
(if (<= phi2 1.1e-5)
(*
(*
(atan2
t_3
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)
(* (* (atan2 t_3 (sqrt (- 1.0 t_2))) 2.0) R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_2 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_3 = sqrt(t_1);
double tmp;
if (phi2 <= -7.5e-6) {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - t_1))) * 2.0) * R;
} else if (phi2 <= 1.1e-5) {
tmp = (atan2(t_3, sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
} else {
tmp = (atan2(t_3, sqrt((1.0 - t_2))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = sqrt(t_1) tmp = 0.0 if (phi2 <= -7.5e-6) tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_1))) * 2.0) * R); elseif (phi2 <= 1.1e-5) tmp = Float64(Float64(atan(t_3, sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R); else tmp = Float64(Float64(atan(t_3, sqrt(Float64(1.0 - t_2))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[t$95$1], $MachinePrecision]}, If[LessEqual[phi2, -7.5e-6], N[(N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi2, 1.1e-5], N[(N[(N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := \sqrt{t\_1}\\
\mathbf{if}\;\phi_2 \leq -7.5 \cdot 10^{-6}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_2 \leq 1.1 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_3}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if phi2 < -7.50000000000000019e-6Initial program 45.2%
Applied rewrites45.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites45.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6445.9
Applied rewrites45.9%
if -7.50000000000000019e-6 < phi2 < 1.1e-5Initial program 77.3%
Applied rewrites72.3%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites72.3%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6472.2
Applied rewrites72.2%
if 1.1e-5 < phi2 Initial program 46.3%
Applied rewrites46.3%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites46.3%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6447.1
Applied rewrites47.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_2
(*
(*
(atan2
(sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_1)))
2.0)
R)))
(if (<= phi2 -7.5e-6)
t_2
(if (<= phi2 1.1e-5)
(*
(*
(atan2
(sqrt t_1)
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_2 = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_1))) * 2.0) * R;
double tmp;
if (phi2 <= -7.5e-6) {
tmp = t_2;
} else if (phi2 <= 1.1e-5) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) t_2 = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_1))) * 2.0) * R) tmp = 0.0 if (phi2 <= -7.5e-6) tmp = t_2; elseif (phi2 <= 1.1e-5) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi2, -7.5e-6], t$95$2, If[LessEqual[phi2, 1.1e-5], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_2 \leq -7.5 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 1.1 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -7.50000000000000019e-6 or 1.1e-5 < phi2 Initial program 45.8%
Applied rewrites45.8%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites45.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6446.5
Applied rewrites46.5%
if -7.50000000000000019e-6 < phi2 < 1.1e-5Initial program 77.3%
Applied rewrites72.3%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites72.3%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6472.2
Applied rewrites72.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(t_1
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) t_0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
(t_2
(*
(*
(atan2 (sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0))) t_1)
2.0)
R)))
(if (<= phi1 -5e-18)
t_2
(if (<= phi1 6.6e-7)
(*
(*
(atan2 (sqrt (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0))) t_1)
2.0)
R)
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((lambda1 - lambda2)));
double t_1 = sqrt((1.0 - fma(cos(phi1), (cos(phi2) * t_0), pow(sin((0.5 * (phi1 - phi2))), 2.0))));
double t_2 = (atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), t_1) * 2.0) * R;
double tmp;
if (phi1 <= -5e-18) {
tmp = t_2;
} else if (phi1 <= 6.6e-7) {
tmp = (atan2(sqrt(fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))), t_1) * 2.0) * R;
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * t_0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))) t_2 = Float64(Float64(atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), t_1) * 2.0) * R) tmp = 0.0 if (phi1 <= -5e-18) tmp = t_2; elseif (phi1 <= 6.6e-7) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), t_1) * 2.0) * R); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -5e-18], t$95$2, If[LessEqual[phi1, 6.6e-7], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{t\_1} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -5 \cdot 10^{-18}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 6.6 \cdot 10^{-7}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{t\_1} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -5.00000000000000036e-18 or 6.6000000000000003e-7 < phi1 Initial program 47.0%
Applied rewrites47.1%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6447.2
Applied rewrites47.2%
if -5.00000000000000036e-18 < phi1 < 6.6000000000000003e-7Initial program 77.2%
Applied rewrites72.0%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
Applied rewrites72.0%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6469.7
Applied rewrites69.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_3
(*
R
(*
2.0
(atan2 (sqrt (+ t_0 (* (cos phi1) t_2))) (sqrt (- 1.0 t_2)))))))
(if (<= t_1 -5e-15)
t_3
(if (<= t_1 1e-22)
(*
(*
(atan2
(sqrt
(fma
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))
t_0))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
2.0)
R)
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_3 = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * t_2))), sqrt((1.0 - t_2))));
double tmp;
if (t_1 <= -5e-15) {
tmp = t_3;
} else if (t_1 <= 1e-22) {
tmp = (atan2(sqrt(fma((cos(phi2) * cos(phi1)), (0.5 - (0.5 * cos((2.0 * t_1)))), t_0)), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))) * 2.0) * R;
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_3 = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * t_2))), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (t_1 <= -5e-15) tmp = t_3; elseif (t_1 <= 1e-22) tmp = Float64(Float64(atan(sqrt(fma(Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))), t_0)), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))) * 2.0) * R); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -5e-15], t$95$3, If[LessEqual[t$95$1, 1e-22], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;t\_1 \leq -5 \cdot 10^{-15}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;t\_1 \leq 10^{-22}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right), t\_0\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -4.99999999999999999e-15 or 1e-22 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 57.1%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites40.0%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6433.7
Applied rewrites33.7%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6433.7
Applied rewrites33.7%
if -4.99999999999999999e-15 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 1e-22Initial program 76.5%
Applied rewrites67.4%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites67.4%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6467.4
Applied rewrites67.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi1) t_0)))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * t_0))), sqrt((1.0 - t_0))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (cos(phi1) * t_0))), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (Math.cos(phi1) * t_0))), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (math.cos(phi1) * t_0))), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * t_0))), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (cos(phi1) * t_0))), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 61.4%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.0
Applied rewrites35.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.0
Applied rewrites35.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 61.4%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.0
Applied rewrites35.0%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.9
Applied rewrites32.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6433.0
Applied rewrites33.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (fma 1.0 t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(1.0, t_0, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(1.0, t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(1.0 * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 61.4%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.0
Applied rewrites35.0%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.9
Applied rewrites32.9%
Taylor expanded in phi2 around 0
Applied rewrites32.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) t_0 (* 0.25 (* phi2 phi2))))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi2), t_0, (0.25 * (phi2 * phi2)))), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_0, Float64(0.25 * Float64(phi2 * phi2)))), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[(0.25 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_0, 0.25 \cdot \left(\phi_2 \cdot \phi_2\right)\right)}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 61.4%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.0
Applied rewrites35.0%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.9
Applied rewrites32.9%
Taylor expanded in phi2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6431.8
Applied rewrites31.8%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))) (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt(t_0), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) return R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 61.4%
Taylor expanded in phi2 around 0
associate-*r*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites42.7%
Taylor expanded in phi1 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6435.0
Applied rewrites35.0%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6432.9
Applied rewrites32.9%
Taylor expanded in phi2 around 0
lift-*.f64N/A
lift--.f64N/A
lift-sin.f64N/A
lift-pow.f6429.5
Applied rewrites29.5%
herbie shell --seed 2025087
(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))))))))))