
(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}
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}
Herbie found 36 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}
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}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin (* lambda1 0.5)) (cos (* lambda2 0.5))))
(t_1 (* (sin (* lambda2 0.5)) (cos (* lambda1 0.5))))
(t_2
(fma
(cos phi1)
(*
(cos phi2)
(+ (- (pow t_0 2.0) (* 2.0 (* t_0 t_1))) (pow t_1 2.0)))
(pow
(fma
(cos (* 0.5 phi1))
(sin (* -0.5 phi2))
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
2.0))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 * 0.5)) * cos((lambda2 * 0.5));
double t_1 = sin((lambda2 * 0.5)) * cos((lambda1 * 0.5));
double t_2 = fma(cos(phi1), (cos(phi2) * ((pow(t_0, 2.0) - (2.0 * (t_0 * t_1))) + pow(t_1, 2.0))), pow(fma(cos((0.5 * phi1)), sin((-0.5 * phi2)), (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 2.0));
return R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(Float64(lambda1 * 0.5)) * cos(Float64(lambda2 * 0.5))) t_1 = Float64(sin(Float64(lambda2 * 0.5)) * cos(Float64(lambda1 * 0.5))) t_2 = fma(cos(phi1), Float64(cos(phi2) * Float64(Float64((t_0 ^ 2.0) - Float64(2.0 * Float64(t_0 * t_1))) + (t_1 ^ 2.0))), (fma(cos(Float64(0.5 * phi1)), sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] - N[(2.0 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \sin \left(\lambda_1 \cdot 0.5\right) \cdot \cos \left(\lambda_2 \cdot 0.5\right)\\
t_1 := \sin \left(\lambda_2 \cdot 0.5\right) \cdot \cos \left(\lambda_1 \cdot 0.5\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left({t\_0}^{2} - 2 \cdot \left(t\_0 \cdot t\_1\right)\right) + {t\_1}^{2}\right), {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.7%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(pow
(fma
(cos (* 0.5 phi1))
(sin (* -0.5 phi2))
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
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(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), pow(fma(cos((0.5 * phi1)), sin((-0.5 * phi2)), (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 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) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), (fma(cos(Float64(0.5 * phi1)), sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 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[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $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}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_3 (cos (* 0.5 phi1)))
(t_4
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(pow (+ t_0 (* phi2 (fma -0.5 t_3 (* -0.125 (* phi2 t_0))))) 2.0)))
(t_5
(fma
(cos phi1)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))
(pow (fma t_3 (sin (* -0.5 phi2)) (* (cos (* 0.5 phi2)) t_0)) 2.0))))
(if (<= phi2 -0.26)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= phi2 3.5e-5)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))))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 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1);
double t_3 = cos((0.5 * phi1));
double t_4 = fma(cos(phi1), (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), pow((t_0 + (phi2 * fma(-0.5, t_3, (-0.125 * (phi2 * t_0))))), 2.0));
double t_5 = fma(cos(phi1), ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2)), pow(fma(t_3, sin((-0.5 * phi2)), (cos((0.5 * phi2)) * t_0)), 2.0));
double tmp;
if (phi2 <= -0.26) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (phi2 <= 3.5e-5) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
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 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_3 = cos(Float64(0.5 * phi1)) t_4 = fma(cos(phi1), Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), (Float64(t_0 + Float64(phi2 * fma(-0.5, t_3, Float64(-0.125 * Float64(phi2 * t_0))))) ^ 2.0)) t_5 = fma(cos(phi1), Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)), (fma(t_3, sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * t_0)) ^ 2.0)) tmp = 0.0 if (phi2 <= -0.26) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (phi2 <= 3.5e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); 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[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$0 + N[(phi2 * N[(-0.5 * t$95$3 + N[(-0.125 * N[(phi2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$3 * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 3.5e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\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 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := \cos \left(0.5 \cdot \phi_1\right)\\
t_4 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\left(t\_0 + \phi_2 \cdot \mathsf{fma}\left(-0.5, t\_3, -0.125 \cdot \left(\phi_2 \cdot t\_0\right)\right)\right)}^{2}\right)\\
t_5 := \mathsf{fma}\left(\cos \phi_1, \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2, {\left(\mathsf{fma}\left(t\_3, \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -0.26:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_2 \leq 3.5 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
if phi2 < -0.26000000000000001Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites76.9%
Applied rewrites76.3%
if -0.26000000000000001 < phi2 < 3.4999999999999997e-5Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
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-*.f6458.6%
Applied rewrites58.6%
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-*.f6449.2%
Applied rewrites49.2%
if 3.4999999999999997e-5 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (* 0.5 phi1)))
(t_2
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(t_3 (cos (* 0.5 phi1)))
(t_4
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(pow (+ t_1 (* -0.5 (* phi2 t_3))) 2.0)))
(t_5
(fma
(cos phi1)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))
(pow (fma t_3 (sin (* -0.5 phi2)) (* (cos (* 0.5 phi2)) t_1)) 2.0))))
(if (<= phi2 -0.26)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= phi2 0.00013)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin((0.5 * phi1));
double t_2 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
double t_3 = cos((0.5 * phi1));
double t_4 = fma(cos(phi1), (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), pow((t_1 + (-0.5 * (phi2 * t_3))), 2.0));
double t_5 = fma(cos(phi1), ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2)), pow(fma(t_3, sin((-0.5 * phi2)), (cos((0.5 * phi2)) * t_1)), 2.0));
double tmp;
if (phi2 <= -0.26) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(0.5 * phi1)) t_2 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) t_3 = cos(Float64(0.5 * phi1)) t_4 = fma(cos(phi1), Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), (Float64(t_1 + Float64(-0.5 * Float64(phi2 * t_3))) ^ 2.0)) t_5 = fma(cos(phi1), Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)), (fma(t_3, sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * t_1)) ^ 2.0)) tmp = 0.0 if (phi2 <= -0.26) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$1 + N[(-0.5 * N[(phi2 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$3 * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \sin \left(0.5 \cdot \phi_1\right)\\
t_2 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_3 := \cos \left(0.5 \cdot \phi_1\right)\\
t_4 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\left(t\_1 + -0.5 \cdot \left(\phi_2 \cdot t\_3\right)\right)}^{2}\right)\\
t_5 := \mathsf{fma}\left(\cos \phi_1, \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2, {\left(\mathsf{fma}\left(t\_3, \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot t\_1\right)\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -0.26:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
if phi2 < -0.26000000000000001Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites76.9%
Applied rewrites76.3%
if -0.26000000000000001 < phi2 < 1.2999999999999999e-4Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6458.6%
Applied rewrites58.6%
Taylor expanded in phi2 around 0
lower-+.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6449.1%
Applied rewrites49.1%
if 1.2999999999999999e-4 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1
(pow
(fma
(cos (* 0.5 phi1))
(sin (* -0.5 phi2))
(* (cos (* 0.5 phi2)) t_0))
2.0))
(t_2
(fma
(cos phi1)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))
t_1))
(t_3
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_4) t_4))))
(if (<= phi2 -33000.0)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(if (<= phi2 0.00013)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) t_3) t_1))
(sqrt (- 1.0 (fma (cos phi1) t_3 (pow t_0 2.0)))))))
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = pow(fma(cos((0.5 * phi1)), sin((-0.5 * phi2)), (cos((0.5 * phi2)) * t_0)), 2.0);
double t_2 = fma(cos(phi1), ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2)), t_1);
double t_3 = pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_4) * t_4);
double tmp;
if (phi2 <= -33000.0) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * t_3), t_1)), sqrt((1.0 - fma(cos(phi1), t_3, pow(t_0, 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = fma(cos(Float64(0.5 * phi1)), sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * t_0)) ^ 2.0 t_2 = fma(cos(phi1), Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)), t_1) t_3 = Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0 t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4)) tmp = 0.0 if (phi2 <= -33000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * t_3), t_1)), sqrt(Float64(1.0 - fma(cos(phi1), t_3, (t_0 ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); 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[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -33000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$3 + N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2}\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2, t\_1\right)\\
t_3 := {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4\\
\mathbf{if}\;\phi_2 \leq -33000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_3, t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_3, {t\_0}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\end{array}
if phi2 < -33000Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites76.9%
Applied rewrites76.3%
if -33000 < phi2 < 1.2999999999999999e-4Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites60.1%
if 1.2999999999999999e-4 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(- 0.5 (* (cos (* 1.0 (- phi1 phi2))) 0.5))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= lambda1 -0.0126)
t_2
(if (<= lambda1 13500.0)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
(pow
(fma
(cos (* 0.5 phi1))
(sin (- (* 0.5 phi2)))
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
2.0)))))))
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = fma(cos(phi1), (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), (0.5 - (cos((1.0 * (phi1 - phi2))) * 0.5)));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (lambda1 <= -0.0126) {
tmp = t_2;
} else if (lambda1 <= 13500.0) {
tmp = R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), pow(fma(cos((0.5 * phi1)), sin(-(0.5 * phi2)), (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 2.0))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma(cos(phi1), Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), Float64(0.5 - Float64(cos(Float64(1.0 * Float64(phi1 - phi2))) * 0.5))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (lambda1 <= -0.0126) tmp = t_2; elseif (lambda1 <= 13500.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), (fma(cos(Float64(0.5 * phi1)), sin(Float64(-Float64(0.5 * phi2))), Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 2.0))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.0126], t$95$2, If[LessEqual[lambda1, 13500.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $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] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(0.5 * phi2), $MachinePrecision])], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, 0.5 - \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right) \cdot 0.5\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\lambda_1 \leq -0.0126:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 13500:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if lambda1 < -0.0126 or 13500 < lambda1 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites75.9%
Applied rewrites74.9%
if -0.0126 < lambda1 < 13500Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in lambda1 around 0
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites60.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 lambda2)))
(t_1
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) t_0))
2.0))
(- 0.5 (* (cos (* 1.0 (- phi1 phi2))) 0.5))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))))))
(t_3
(fma
(cos phi1)
(* (cos phi2) (pow t_0 2.0))
(pow
(fma
(cos (* 0.5 phi1))
(sin (* -0.5 phi2))
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
2.0))))
(if (<= lambda1 -3e-33)
t_2
(if (<= lambda1 13500.0)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * lambda2));
double t_1 = fma(cos(phi1), (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * t_0)), 2.0)), (0.5 - (cos((1.0 * (phi1 - phi2))) * 0.5)));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double t_3 = fma(cos(phi1), (cos(phi2) * pow(t_0, 2.0)), pow(fma(cos((0.5 * phi1)), sin((-0.5 * phi2)), (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 2.0));
double tmp;
if (lambda1 <= -3e-33) {
tmp = t_2;
} else if (lambda1 <= 13500.0) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * lambda2)) t_1 = fma(cos(phi1), Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * t_0)) ^ 2.0)), Float64(0.5 - Float64(cos(Float64(1.0 * Float64(phi1 - phi2))) * 0.5))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) t_3 = fma(cos(phi1), Float64(cos(phi2) * (t_0 ^ 2.0)), (fma(cos(Float64(0.5 * phi1)), sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 2.0)) tmp = 0.0 if (lambda1 <= -3e-33) tmp = t_2; elseif (lambda1 <= 13500.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -3e-33], t$95$2, If[LessEqual[lambda1, 13500.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]]
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \lambda_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot t\_0\right)}^{2}, 0.5 - \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right) \cdot 0.5\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {t\_0}^{2}, {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -3 \cdot 10^{-33}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 13500:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if lambda1 < -3.0000000000000002e-33 or 13500 < lambda1 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites75.9%
Applied rewrites74.9%
if -3.0000000000000002e-33 < lambda1 < 13500Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in lambda1 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6458.4%
Applied rewrites58.4%
Taylor expanded in lambda1 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6457.4%
Applied rewrites57.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(- 0.5 (* (cos (* 1.0 (- phi1 phi2))) 0.5))))
(t_1
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(*
(fma -0.5 (cos (- lambda2 lambda1)) 0.5)
(* (cos phi2) (cos phi1)))))
(t_2
(fma
(cos phi1)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))
(pow
(fma
(cos (* 0.5 phi1))
(sin (* -0.5 phi2))
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
2.0))))
(if (<= phi2 -13000.0)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(if (<= phi2 0.00013)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 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 = fma(cos(phi1), (cos(phi2) * pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), (0.5 - (cos((1.0 * (phi1 - phi2))) * 0.5)));
double t_1 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (fma(-0.5, cos((lambda2 - lambda1)), 0.5) * (cos(phi2) * cos(phi1)));
double t_2 = fma(cos(phi1), ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2)), pow(fma(cos((0.5 * phi1)), sin((-0.5 * phi2)), (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 2.0));
double tmp;
if (phi2 <= -13000.0) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), Float64(0.5 - Float64(cos(Float64(1.0 * Float64(phi1 - phi2))) * 0.5))) t_1 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5) * Float64(cos(phi2) * cos(phi1)))) t_2 = fma(cos(phi1), Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)), (fma(cos(Float64(0.5 * phi1)), sin(Float64(-0.5 * phi2)), Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 2.0)) tmp = 0.0 if (phi2 <= -13000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); 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[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -13000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, 0.5 - \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right) \cdot 0.5\right)\\
t_1 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2, {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -13000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
if phi2 < -13000Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites76.9%
Applied rewrites76.3%
if -13000 < phi2 < 1.2999999999999999e-4Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites75.9%
Applied rewrites74.9%
if 1.2999999999999999e-4 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
pow2N/A
lift-/.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
Applied rewrites76.3%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
pow2N/A
lift-/.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
Applied rewrites76.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(sqrt
(fma
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(* (cos phi2) (cos phi1))
(-
0.5
(* 0.5 (fma (cos phi2) (cos phi1) (* (sin phi2) (sin phi1)))))))
2.0))
(t_1 (sin (* -0.5 phi2)))
(t_2
(fma
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)
(pow t_1 2.0)))
(t_3
(fma
(cos phi1)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))
(pow
(fma
(cos (* 0.5 phi1))
t_1
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
2.0))))
(if (<= phi1 -2.15e-9)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 2.7e-26)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* 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(sqrt(fma((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))), (cos(phi2) * cos(phi1)), (0.5 - (0.5 * fma(cos(phi2), cos(phi1), (sin(phi2) * sin(phi1))))))), 2.0);
double t_1 = sin((-0.5 * phi2));
double t_2 = fma(cos(phi2), pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0), pow(t_1, 2.0));
double t_3 = fma(cos(phi1), ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2)), pow(fma(cos((0.5 * phi1)), t_1, (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 2.0));
double tmp;
if (phi1 <= -2.15e-9) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 2.7e-26) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))), Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(0.5 * fma(cos(phi2), cos(phi1), Float64(sin(phi2) * sin(phi1))))))) ^ 2.0 t_1 = sin(Float64(-0.5 * phi2)) t_2 = fma(cos(phi2), (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0), (t_1 ^ 2.0)) t_3 = fma(cos(phi1), Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)), (fma(cos(Float64(0.5 * phi1)), t_1, Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 2.0)) tmp = 0.0 if (phi1 <= -2.15e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 2.7e-26) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sqrt[N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[Sin[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$1 + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.15e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 2.7e-26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\left(\sqrt{\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right), \cos \phi_2 \cdot \cos \phi_1, 0.5 - 0.5 \cdot \mathsf{fma}\left(\cos \phi_2, \cos \phi_1, \sin \phi_2 \cdot \sin \phi_1\right)\right)}\right)}^{2}\\
t_1 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_2, {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {t\_1}^{2}\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_1, \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2, {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), t\_1, \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 2.7 \cdot 10^{-26}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\end{array}
if phi1 < -2.1499999999999998e-9Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites76.9%
Applied rewrites76.3%
if -2.1499999999999998e-9 < phi1 < 2.6999999999999998e-26Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.9%
if 2.6999999999999998e-26 < phi1 Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
cos-neg-revN/A
lift--.f64N/A
sub-negate-revN/A
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6458.1%
Applied rewrites58.1%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
cos-neg-revN/A
lift--.f64N/A
sub-negate-revN/A
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6473.7%
Applied rewrites73.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* -0.5 phi2)))
(t_1
(fma
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)
(pow t_0 2.0)))
(t_2
(fma
(cos phi1)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))
(pow
(fma
(cos (* 0.5 phi1))
t_0
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1))))
2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi1 -2.15e-9)
t_3
(if (<= phi1 6.5e-16)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * phi2));
double t_1 = fma(cos(phi2), pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0), pow(t_0, 2.0));
double t_2 = fma(cos(phi1), ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2)), pow(fma(cos((0.5 * phi1)), t_0, (cos((0.5 * phi2)) * sin((0.5 * phi1)))), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi1 <= -2.15e-9) {
tmp = t_3;
} else if (phi1 <= 6.5e-16) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) t_1 = fma(cos(phi2), (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0), (t_0 ^ 2.0)) t_2 = fma(cos(phi1), Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)), (fma(cos(Float64(0.5 * phi1)), t_0, Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1)))) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi1 <= -2.15e-9) tmp = t_3; elseif (phi1 <= 6.5e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$0 + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.15e-9], t$95$3, If[LessEqual[phi1, 6.5e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_2, {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {t\_0}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2, {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), t\_0, \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{-9}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
if phi1 < -2.1499999999999998e-9 or 6.5000000000000001e-16 < phi1 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Applied rewrites76.9%
Applied rewrites76.3%
if -2.1499999999999998e-9 < phi1 < 6.5000000000000001e-16Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_3
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))
(if (<= phi1 -46000000.0)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 6.5e-16)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* 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 = pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_3 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double tmp;
if (phi1 <= -46000000.0) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 6.5e-16) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) tmp = 0.0 if (phi1 <= -46000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 6.5e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $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[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -46000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.5e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
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_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -46000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
if phi1 < -4.6e7Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6459.8%
Applied rewrites59.8%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.7%
Applied rewrites56.7%
if -4.6e7 < phi1 < 6.5000000000000001e-16Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.9%
if 6.5000000000000001e-16 < phi1 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(t_1 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_2 (sin (* 0.5 phi1)))
(t_3 (fma (cos phi1) t_0 (pow t_2 2.0)))
(t_4
(+
(pow
(fma
(cos (* 0.5 phi1))
(sin (- (* 0.5 phi2)))
(* (cos (* 0.5 phi2)) t_2))
2.0)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))
(if (<= phi2 -7500000000.0)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= phi2 0.00013)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(* 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 = pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
double t_1 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_2 = sin((0.5 * phi1));
double t_3 = fma(cos(phi1), t_0, pow(t_2, 2.0));
double t_4 = pow(fma(cos((0.5 * phi1)), sin(-(0.5 * phi2)), (cos((0.5 * phi2)) * t_2)), 2.0) + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double tmp;
if (phi2 <= -7500000000.0) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0 t_1 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_2 = sin(Float64(0.5 * phi1)) t_3 = fma(cos(phi1), t_0, (t_2 ^ 2.0)) t_4 = Float64((fma(cos(Float64(0.5 * phi1)), sin(Float64(-Float64(0.5 * phi2))), Float64(cos(Float64(0.5 * phi2)) * t_2)) ^ 2.0) + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) tmp = 0.0 if (phi2 <= -7500000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = 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$2 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Power[N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(0.5 * phi2), $MachinePrecision])], $MachinePrecision] + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7500000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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}
t_0 := {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := \sin \left(0.5 \cdot \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_1, t\_0, {t\_2}^{2}\right)\\
t_4 := {\left(\mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right), \sin \left(-0.5 \cdot \phi_2\right), \cos \left(0.5 \cdot \phi_2\right) \cdot t\_2\right)\right)}^{2} + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -7500000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
if phi2 < -7.5e9Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
Taylor expanded in phi1 around inf
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6456.9%
Applied rewrites56.9%
Taylor expanded in phi1 around inf
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f6456.9%
Applied rewrites56.9%
if -7.5e9 < phi2 < 1.2999999999999999e-4Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.0%
if 1.2999999999999999e-4 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(t_1 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_2 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_3
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2)))))
(if (<= phi2 -7500000000.0)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi2 0.00013)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* 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 = pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0);
double t_1 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_2 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_3 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2));
double tmp;
if (phi2 <= -7500000000.0) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0 t_1 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_2 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_3 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2))) tmp = 0.0 if (phi2 <= -7500000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = 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$2 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7500000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
\mathbf{if}\;\phi_2 \leq -7500000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
if phi2 < -7.5e9Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
Applied rewrites54.2%
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
Applied rewrites54.2%
if -7.5e9 < phi2 < 1.2999999999999999e-4Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.0%
if 1.2999999999999999e-4 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(fma
(cos phi2)
(pow
(-
(* (cos (* 0.5 lambda2)) (sin (* 0.5 lambda1)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0)
(pow (sin (* -0.5 phi2)) 2.0)))
(t_2
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
(t_3
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(if (<= phi1 -72000000000000.0)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_2)))))
(if (<= phi1 6.5e-16)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_3)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = fma(cos(phi2), pow(((cos((0.5 * lambda2)) * sin((0.5 * lambda1))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0), pow(sin((-0.5 * phi2)), 2.0));
double t_2 = fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 2.0));
double t_3 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
double tmp;
if (phi1 <= -72000000000000.0) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_2))));
} else if (phi1 <= 6.5e-16) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma(cos(phi2), (Float64(Float64(cos(Float64(0.5 * lambda2)) * sin(Float64(0.5 * lambda1))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_2 = fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_3 = Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) tmp = 0.0 if (phi1 <= -72000000000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_2))))); elseif (phi1 <= 6.5e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -72000000000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.5e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_2, {\left(\cos \left(0.5 \cdot \lambda_2\right) \cdot \sin \left(0.5 \cdot \lambda_1\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
\mathbf{if}\;\phi_1 \leq -72000000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
if phi1 < -7.2e13Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6450.2%
Applied rewrites50.2%
if -7.2e13 < phi1 < 6.5000000000000001e-16Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites78.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites79.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi2 around -inf
lower-fma.f64N/A
Applied rewrites98.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites57.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.9%
if 6.5000000000000001e-16 < phi1 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6448.0%
Applied rewrites48.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0))
(t_1 (+ t_0 (* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= phi2 -5500000000.0)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(sqrt
(-
(- 0.5 (* (cos (- phi2 phi1)) -0.5))
(*
(fma -0.5 (cos (- lambda2 lambda1)) 0.5)
(* (cos phi2) (cos phi1)))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0);
double t_1 = t_0 + ((0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (phi2 <= -5500000000.0) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 + (((cos(phi1) * cos(phi2)) * t_2) * t_2))), sqrt(((0.5 - (cos((phi2 - phi1)) * -0.5)) - (fma(-0.5, cos((lambda2 - lambda1)), 0.5) * (cos(phi2) * cos(phi1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0 t_1 = Float64(t_0 + Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (phi2 <= -5500000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2))), sqrt(Float64(Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * -0.5)) - Float64(fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5) * Float64(cos(phi2) * cos(phi1)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -5500000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[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] / N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2}\\
t_1 := t\_0 + \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_2 \leq -5500000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2}}{\sqrt{\left(0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot -0.5\right) - \mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)}}\right)\\
\end{array}
if phi2 < -5.5e9Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
Applied rewrites54.2%
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
Applied rewrites54.2%
if -5.5e9 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Applied rewrites63.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 0.5))
(* (cos (* phi1 0.5)) (sin (- (* phi2 0.5)))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
(- 0.5 (* (cos (- phi2 phi1)) -0.5))
(*
(fma -0.5 (cos (- lambda2 lambda1)) 0.5)
(* (cos phi2) (cos phi1))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 * 0.5)), cos((phi2 * 0.5)), (cos((phi1 * 0.5)) * sin(-(phi2 * 0.5)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((0.5 - (cos((phi2 - phi1)) * -0.5)) - (fma(-0.5, cos((lambda2 - lambda1)), 0.5) * (cos(phi2) * cos(phi1)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * 0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-Float64(phi2 * 0.5))))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * -0.5)) - Float64(fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5) * Float64(cos(phi2) * cos(phi1)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[(-N[(phi2 * 0.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-\phi_2 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\left(0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot -0.5\right) - \mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)}}\right)
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Applied rewrites63.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1))))))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (cos (- lambda2 lambda1)))
(t_3 (- t_0 (* (fma t_2 0.5 -0.5) (cos phi1))))
(t_4 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi2) t_1))))
(if (<= phi1 -8.5e+15)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 6.5e-16)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_1 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (fma (fma -0.5 t_2 0.5) (cos phi1) t_0))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * phi1))));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = cos((lambda2 - lambda1));
double t_3 = t_0 - (fma(t_2, 0.5, -0.5) * cos(phi1));
double t_4 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi2) * t_1);
double tmp;
if (phi1 <= -8.5e+15) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 6.5e-16) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_1, pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(fma(-0.5, t_2, 0.5), cos(phi1), t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = cos(Float64(lambda2 - lambda1)) t_3 = Float64(t_0 - Float64(fma(t_2, 0.5, -0.5) * cos(phi1))) t_4 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi2) * t_1)) tmp = 0.0 if (phi1 <= -8.5e+15) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 6.5e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_1, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(fma(-0.5, t_2, 0.5), cos(phi1), t_0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 - N[(N[(t$95$2 * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.5e+15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.5e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * 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[(-0.5 * t$95$2 + 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_3 := t\_0 - \mathsf{fma}\left(t\_2, 0.5, -0.5\right) \cdot \cos \phi_1\\
t_4 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_2 \cdot t\_1\\
\mathbf{if}\;\phi_1 \leq -8.5 \cdot 10^{+15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \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(\mathsf{fma}\left(-0.5, t\_2, 0.5\right), \cos \phi_1, t\_0\right)}}\right)\\
\end{array}
if phi1 < -8.5e15Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites43.0%
Applied rewrites43.0%
if -8.5e15 < phi1 < 6.5000000000000001e-16Initial program 62.9%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6453.7%
Applied rewrites53.7%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6451.6%
Applied rewrites51.6%
if 6.5000000000000001e-16 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites47.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1))))))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (cos (- lambda2 lambda1)))
(t_3 (- t_0 (* (fma t_2 0.5 -0.5) (cos phi1))))
(t_4 (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0))))
(if (<= phi1 -1.02e+18)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 6.5e-16)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) t_1 (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- 1.0 (fma (fma -0.5 t_2 0.5) (cos phi1) t_0))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * phi1))));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = cos((lambda2 - lambda1));
double t_3 = t_0 - (fma(t_2, 0.5, -0.5) * cos(phi1));
double t_4 = fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0));
double tmp;
if (phi1 <= -1.02e+18) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 6.5e-16) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_1, pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(fma(-0.5, t_2, 0.5), cos(phi1), t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = cos(Float64(lambda2 - lambda1)) t_3 = Float64(t_0 - Float64(fma(t_2, 0.5, -0.5) * cos(phi1))) t_4 = fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0)) tmp = 0.0 if (phi1 <= -1.02e+18) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 6.5e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_1, (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(fma(-0.5, t_2, 0.5), cos(phi1), t_0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 - N[(N[(t$95$2 * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.02e+18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.5e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * 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[(-0.5 * t$95$2 + 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_3 := t\_0 - \mathsf{fma}\left(t\_2, 0.5, -0.5\right) \cdot \cos \phi_1\\
t_4 := \mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -1.02 \cdot 10^{+18}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \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(\mathsf{fma}\left(-0.5, t\_2, 0.5\right), \cos \phi_1, t\_0\right)}}\right)\\
\end{array}
if phi1 < -1.02e18Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites43.0%
Applied rewrites43.0%
if -1.02e18 < phi1 < 6.5000000000000001e-16Initial program 62.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
if 6.5000000000000001e-16 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites47.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3
(fma (cos phi2) (pow (sin t_0) 2.0) (pow (sin (* -0.5 phi2)) 2.0)))
(t_4
(+
t_2
(/
(*
(+ (cos (- phi2 phi1)) (cos (+ phi2 phi1)))
(- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
2.0))))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.015)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma(cos(phi2), pow(sin(t_0), 2.0), pow(sin((-0.5 * phi2)), 2.0));
double t_4 = t_2 + (((cos((phi2 - phi1)) + cos((phi2 + phi1))) * (0.5 - (0.5 * cos((2.0 * t_0))))) / 2.0);
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.015) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = fma(cos(phi2), (sin(t_0) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_4 = Float64(t_2 + Float64(Float64(Float64(cos(Float64(phi2 - phi1)) + cos(Float64(phi2 + phi1))) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))) / 2.0)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.015) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $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]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.015], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_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}\\
t_3 := \mathsf{fma}\left(\cos \phi_2, {\sin t\_0}^{2}, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_4 := t\_2 + \frac{\left(\cos \left(\phi_2 - \phi_1\right) + \cos \left(\phi_2 + \phi_1\right)\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}{2}\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.015:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.014999999999999999Initial program 62.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
if 0.014999999999999999 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.9%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites60.7%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(fabs
(-
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(* (cos phi2) (cos phi1)))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fabs(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1))))))));
}
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(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(abs(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) - ((0.5d0 - (0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1))))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.sqrt(Math.abs(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (Math.cos(phi2) * Math.cos(phi1))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((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) * math.cos(phi2)) * t_0) * t_0))), math.sqrt(math.fabs(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (math.cos(phi2) * math.cos(phi1))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(abs(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * Float64(cos(phi2) * cos(phi1))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(abs(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $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[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[Abs[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\left|\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right|}}\right)
\end{array}
Initial program 62.9%
Applied rewrites63.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (- phi2 phi1)))
(t_3
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0)))
(t_4 (fma -0.5 (cos (- lambda2 lambda1)) 0.5)))
(if (<=
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1))
0.016)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(*
(atan2
(sqrt (fma t_4 t_0 (fma t_2 -0.5 0.5)))
(sqrt (- (- 0.5 (* t_2 -0.5)) (* t_4 t_0))))
(* 2.0 R)))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((phi2 - phi1));
double t_3 = fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0));
double t_4 = fma(-0.5, cos((lambda2 - lambda1)), 0.5);
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.016) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = atan2(sqrt(fma(t_4, t_0, fma(t_2, -0.5, 0.5))), sqrt(((0.5 - (t_2 * -0.5)) - (t_4 * t_0)))) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(phi2 - phi1)) t_3 = fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_4 = fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.016) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(atan(sqrt(fma(t_4, t_0, fma(t_2, -0.5, 0.5))), sqrt(Float64(Float64(0.5 - Float64(t_2 * -0.5)) - Float64(t_4 * t_0)))) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.016], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$0 + N[(t$95$2 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 - N[(t$95$2 * -0.5), $MachinePrecision]), $MachinePrecision] - N[(t$95$4 * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_4 := \mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.016:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_0, \mathsf{fma}\left(t\_2, -0.5, 0.5\right)\right)}}{\sqrt{\left(0.5 - t\_2 \cdot -0.5\right) - t\_4 \cdot t\_0}} \cdot \left(2 \cdot R\right)\\
\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))))) < 0.016Initial program 62.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
if 0.016 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Applied rewrites57.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(* (cos phi2) (cos phi1))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1)))))));
}
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(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) - ((0.5d0 - (0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1)))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (Math.cos(phi2) * Math.cos(phi1)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((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) * math.cos(phi2)) * t_0) * t_0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (math.cos(phi2) * math.cos(phi1)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * Float64(cos(phi2) * cos(phi1)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $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[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)}}\right)
\end{array}
Initial program 62.9%
Applied rewrites63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(sqrt
(-
(+ 0.5 (* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(* 0.5 (cos (- phi2)))))
2.0))
(t_1 (* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
(if (<= phi2 -110000000000.0)
t_1
(if (<= phi2 0.00013)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
1.0
(fma
(fma -0.5 (cos (- lambda2 lambda1)) 0.5)
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))))))
t_1))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sqrt(((0.5 + (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2)))))) - (0.5 * cos(-phi2)))), 2.0);
double t_1 = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
double tmp;
if (phi2 <= -110000000000.0) {
tmp = t_1;
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(fma(-0.5, cos((lambda2 - lambda1)), 0.5), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))))))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) - Float64(0.5 * cos(Float64(-phi2))))) ^ 2.0 t_1 = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) tmp = 0.0 if (phi2 <= -110000000000.0) tmp = t_1; elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))))))))); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[(-phi2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -110000000000.0], t$95$1, If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
t_0 := {\left(\sqrt{\left(0.5 + \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5 \cdot \cos \left(-\phi_2\right)}\right)}^{2}\\
t_1 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{if}\;\phi_2 \leq -110000000000:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
if phi2 < -1.1e11 or 1.2999999999999999e-4 < phi2 Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-neg.f6442.6%
Applied rewrites42.6%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-neg.f6443.1%
Applied rewrites43.1%
if -1.1e11 < phi2 < 1.2999999999999999e-4Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites47.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2)))
(t_1 (cos (* 1.0 (- phi1 phi2))))
(t_2
(*
(*
(atan2
(sqrt (+ t_0 (- 0.5 (* t_1 0.5))))
(sqrt (- (fma t_1 0.5 0.5) t_0)))
2.0)
R)))
(if (<= phi2 -110000000000.0)
t_2
(if (<= phi2 0.00013)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
1.0
(fma
(fma -0.5 (cos (- lambda2 lambda1)) 0.5)
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))))))
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2);
double t_1 = cos((1.0 * (phi1 - phi2)));
double t_2 = (atan2(sqrt((t_0 + (0.5 - (t_1 * 0.5)))), sqrt((fma(t_1, 0.5, 0.5) - t_0))) * 2.0) * R;
double tmp;
if (phi2 <= -110000000000.0) {
tmp = t_2;
} else if (phi2 <= 0.00013) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((0.5 * phi1)), 2.0))), sqrt((1.0 - fma(fma(-0.5, cos((lambda2 - lambda1)), 0.5), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)) t_1 = cos(Float64(1.0 * Float64(phi1 - phi2))) t_2 = Float64(Float64(atan(sqrt(Float64(t_0 + Float64(0.5 - Float64(t_1 * 0.5)))), sqrt(Float64(fma(t_1, 0.5, 0.5) - t_0))) * 2.0) * R) tmp = 0.0 if (phi2 <= -110000000000.0) tmp = t_2; elseif (phi2 <= 0.00013) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64(1.0 - fma(fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[ArcTan[N[Sqrt[N[(t$95$0 + N[(0.5 - N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$1 * 0.5 + 0.5), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi2, -110000000000.0], t$95$2, If[LessEqual[phi2, 0.00013], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
t_0 := \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_1 := \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{t\_0 + \left(0.5 - t\_1 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_1, 0.5, 0.5\right) - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_2 \leq -110000000000:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 0.00013:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if phi2 < -1.1e11 or 1.2999999999999999e-4 < phi2 Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
Applied rewrites46.4%
if -1.1e11 < phi2 < 1.2999999999999999e-4Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites47.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* 1.0 (- phi1 phi2))))
(t_1 (cos (- lambda2 lambda1)))
(t_2 (* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2)))
(t_3 (fma (cos phi1) (fma t_1 -0.5 0.5) (pow (sin (* 0.5 phi1)) 2.0)))
(t_4
(-
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(* (fma t_1 0.5 -0.5) (cos phi1)))))
(if (<= phi1 -8.5e+15)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= phi1 6.5e-16)
(*
(*
(atan2
(sqrt (+ t_2 (- 0.5 (* t_0 0.5))))
(sqrt (- (fma t_0 0.5 0.5) t_2)))
2.0)
R)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((1.0 * (phi1 - phi2)));
double t_1 = cos((lambda2 - lambda1));
double t_2 = (0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2);
double t_3 = fma(cos(phi1), fma(t_1, -0.5, 0.5), pow(sin((0.5 * phi1)), 2.0));
double t_4 = (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) - (fma(t_1, 0.5, -0.5) * cos(phi1));
double tmp;
if (phi1 <= -8.5e+15) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (phi1 <= 6.5e-16) {
tmp = (atan2(sqrt((t_2 + (0.5 - (t_0 * 0.5)))), sqrt((fma(t_0, 0.5, 0.5) - t_2))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(1.0 * Float64(phi1 - phi2))) t_1 = cos(Float64(lambda2 - lambda1)) t_2 = Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)) t_3 = fma(cos(phi1), fma(t_1, -0.5, 0.5), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_4 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) - Float64(fma(t_1, 0.5, -0.5) * cos(phi1))) tmp = 0.0 if (phi1 <= -8.5e+15) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (phi1 <= 6.5e-16) tmp = Float64(Float64(atan(sqrt(Float64(t_2 + Float64(0.5 - Float64(t_0 * 0.5)))), sqrt(Float64(fma(t_0, 0.5, 0.5) - t_2))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$1 * -0.5 + 0.5), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$1 * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.5e+15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.5e-16], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$2 + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$0 * 0.5 + 0.5), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
t_0 := \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_2 := \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_3 := \mathsf{fma}\left(\cos \phi_1, \mathsf{fma}\left(t\_1, -0.5, 0.5\right), {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_4 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) - \mathsf{fma}\left(t\_1, 0.5, -0.5\right) \cdot \cos \phi_1\\
\mathbf{if}\;\phi_1 \leq -8.5 \cdot 10^{+15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2 + \left(0.5 - t\_0 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_0, 0.5, 0.5\right) - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
if phi1 < -8.5e15Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites43.0%
Applied rewrites43.0%
if -8.5e15 < phi1 < 6.5000000000000001e-16Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
Applied rewrites46.4%
if 6.5000000000000001e-16 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift-cos.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f6444.4%
Applied rewrites44.4%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-a-revN/A
lift-*.f64N/A
lift-cos.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
metadata-evalN/A
*-commutativeN/A
lower-fma.f6444.5%
Applied rewrites44.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1))))))
(t_1 (cos (* 1.0 (- phi1 phi2))))
(t_2 (cos (- lambda2 lambda1)))
(t_3 (* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2)))
(t_4 (fma (fma -0.5 t_2 0.5) (cos phi1) t_0))
(t_5 (- t_0 (* (fma t_2 0.5 -0.5) (cos phi1)))))
(if (<= phi1 -8.5e+15)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= phi1 6.5e-16)
(*
(*
(atan2
(sqrt (+ t_3 (- 0.5 (* t_1 0.5))))
(sqrt (- (fma t_1 0.5 0.5) t_3)))
2.0)
R)
(* (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 = 0.5 - (0.5 * cos((2.0 * (0.5 * phi1))));
double t_1 = cos((1.0 * (phi1 - phi2)));
double t_2 = cos((lambda2 - lambda1));
double t_3 = (0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2);
double t_4 = fma(fma(-0.5, t_2, 0.5), cos(phi1), t_0);
double t_5 = t_0 - (fma(t_2, 0.5, -0.5) * cos(phi1));
double tmp;
if (phi1 <= -8.5e+15) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (phi1 <= 6.5e-16) {
tmp = (atan2(sqrt((t_3 + (0.5 - (t_1 * 0.5)))), sqrt((fma(t_1, 0.5, 0.5) - t_3))) * 2.0) * R;
} 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 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) t_1 = cos(Float64(1.0 * Float64(phi1 - phi2))) t_2 = cos(Float64(lambda2 - lambda1)) t_3 = Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)) t_4 = fma(fma(-0.5, t_2, 0.5), cos(phi1), t_0) t_5 = Float64(t_0 - Float64(fma(t_2, 0.5, -0.5) * cos(phi1))) tmp = 0.0 if (phi1 <= -8.5e+15) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (phi1 <= 6.5e-16) tmp = Float64(Float64(atan(sqrt(Float64(t_3 + Float64(0.5 - Float64(t_1 * 0.5)))), sqrt(Float64(fma(t_1, 0.5, 0.5) - t_3))) * 2.0) * R); else tmp = Float64(atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(-0.5 * t$95$2 + 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 - N[(N[(t$95$2 * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.5e+15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 6.5e-16], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$3 + N[(0.5 - N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$1 * 0.5 + 0.5), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\\
t_1 := \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_2 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_3 := \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_4 := \mathsf{fma}\left(\mathsf{fma}\left(-0.5, t\_2, 0.5\right), \cos \phi_1, t\_0\right)\\
t_5 := t\_0 - \mathsf{fma}\left(t\_2, 0.5, -0.5\right) \cdot \cos \phi_1\\
\mathbf{if}\;\phi_1 \leq -8.5 \cdot 10^{+15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3 + \left(0.5 - t\_1 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_1, 0.5, 0.5\right) - t\_3}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \cdot \left(2 \cdot R\right)\\
\end{array}
if phi1 < -8.5e15Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites43.0%
Applied rewrites43.0%
if -8.5e15 < phi1 < 6.5000000000000001e-16Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
Applied rewrites46.4%
if 6.5000000000000001e-16 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites43.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* 1.0 (- phi1 phi2))))
(t_1 (* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2)))
(t_2
(fma
(fma -0.5 (cos (- lambda2 lambda1)) 0.5)
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))
(t_3 (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) (* 2.0 R))))
(if (<= phi1 -8.5e+15)
t_3
(if (<= phi1 6.5e-16)
(*
(*
(atan2
(sqrt (+ t_1 (- 0.5 (* t_0 0.5))))
(sqrt (- (fma t_0 0.5 0.5) t_1)))
2.0)
R)
t_3))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((1.0 * (phi1 - phi2)));
double t_1 = (0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2);
double t_2 = fma(fma(-0.5, cos((lambda2 - lambda1)), 0.5), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))));
double t_3 = atan2(sqrt(t_2), sqrt((1.0 - t_2))) * (2.0 * R);
double tmp;
if (phi1 <= -8.5e+15) {
tmp = t_3;
} else if (phi1 <= 6.5e-16) {
tmp = (atan2(sqrt((t_1 + (0.5 - (t_0 * 0.5)))), sqrt((fma(t_0, 0.5, 0.5) - t_1))) * 2.0) * R;
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(1.0 * Float64(phi1 - phi2))) t_1 = Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)) t_2 = fma(fma(-0.5, cos(Float64(lambda2 - lambda1)), 0.5), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1)))))) t_3 = Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) * Float64(2.0 * R)) tmp = 0.0 if (phi1 <= -8.5e+15) tmp = t_3; elseif (phi1 <= 6.5e-16) tmp = Float64(Float64(atan(sqrt(Float64(t_1 + Float64(0.5 - Float64(t_0 * 0.5)))), sqrt(Float64(fma(t_0, 0.5, 0.5) - t_1))) * 2.0) * R); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.5e+15], t$95$3, If[LessEqual[phi1, 6.5e-16], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$1 + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$0 * 0.5 + 0.5), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
t_0 := \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_2 := \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \cos \left(\lambda_2 - \lambda_1\right), 0.5\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)\\
t_3 := \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_1 \leq -8.5 \cdot 10^{+15}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1 + \left(0.5 - t\_0 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_0, 0.5, 0.5\right) - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
if phi1 < -8.5e15 or 6.5000000000000001e-16 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Applied rewrites43.0%
if -8.5e15 < phi1 < 6.5000000000000001e-16Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
Applied rewrites46.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* 1.0 (- phi1 phi2))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_3 (* (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) (cos phi2))))
(if (<= (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))) 1e-7)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (- 0.5 (* 0.5 (cos (* -1.0 (- lambda1 lambda2))))))))))
(*
(*
(atan2
(sqrt (+ t_3 (- 0.5 (* t_0 0.5))))
(sqrt (- (fma t_0 0.5 0.5) t_3)))
2.0)
R))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((1.0 * (phi1 - phi2)));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1);
double t_3 = (0.5 - (cos((lambda1 - lambda2)) * 0.5)) * cos(phi2);
double tmp;
if ((2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))) <= 1e-7) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (0.5 - (0.5 * cos((-1.0 * (lambda1 - lambda2)))))))));
} else {
tmp = (atan2(sqrt((t_3 + (0.5 - (t_0 * 0.5)))), sqrt((fma(t_0, 0.5, 0.5) - t_3))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(1.0 * Float64(phi1 - phi2))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_3 = Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) * cos(phi2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2)))) <= 1e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(-1.0 * Float64(lambda1 - lambda2)))))))))); else tmp = Float64(Float64(atan(sqrt(Float64(t_3 + Float64(0.5 - Float64(t_0 * 0.5)))), sqrt(Float64(fma(t_0, 0.5, 0.5) - t_3))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 1e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$3 + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$0 * 0.5 + 0.5), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
t_0 := \cos \left(1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := \left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \cos \phi_2\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \left(0.5 - 0.5 \cdot \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3 + \left(0.5 - t\_0 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_0, 0.5, 0.5\right) - t\_3}} \cdot 2\right) \cdot R\\
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) < 9.9999999999999995e-8Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6437.5%
Applied rewrites37.5%
Applied rewrites37.5%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower--.f6428.2%
Applied rewrites28.2%
if 9.9999999999999995e-8 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))))))) Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites63.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sub-flipN/A
sin-sumN/A
cos-neg-revN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
Applied rewrites79.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6460.0%
Applied rewrites60.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6456.9%
Applied rewrites56.9%
Applied rewrites46.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(* 0.25 (pow phi1 2.0))))
(pow
(-
1.0
(fma
(- 0.5 (* (cos (* -1.0 (- lambda1 lambda2))) 0.5))
(cos phi1)
(* (* phi1 phi1) 0.25)))
0.5))))))
(if (<= t_0 -1e-14)
t_1
(if (<= t_0 5e-11)
(*
R
(*
2.0
(atan2
(sqrt (pow (sqrt (- 0.5 (* 0.5 (cos (- phi1 phi2))))) 2.0))
(/ 1.0 (pow (- 1.0 (- 0.5 (* (cos (- phi2 phi1)) 0.5))) -0.5)))))
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 = R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), (0.25 * pow(phi1, 2.0)))), pow((1.0 - fma((0.5 - (cos((-1.0 * (lambda1 - lambda2))) * 0.5)), cos(phi1), ((phi1 * phi1) * 0.25))), 0.5)));
double tmp;
if (t_0 <= -1e-14) {
tmp = t_1;
} else if (t_0 <= 5e-11) {
tmp = R * (2.0 * atan2(sqrt(pow(sqrt((0.5 - (0.5 * cos((phi1 - phi2))))), 2.0)), (1.0 / pow((1.0 - (0.5 - (cos((phi2 - phi1)) * 0.5))), -0.5))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(0.25 * (phi1 ^ 2.0)))), (Float64(1.0 - fma(Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(lambda1 - lambda2))) * 0.5)), cos(phi1), Float64(Float64(phi1 * phi1) * 0.25))) ^ 0.5)))) tmp = 0.0 if (t_0 <= -1e-14) tmp = t_1; elseif (t_0 <= 5e-11) tmp = Float64(R * Float64(2.0 * atan(sqrt((sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2))))) ^ 2.0)), Float64(1.0 / (Float64(1.0 - Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5))) ^ -0.5))))); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(0.25 * N[Power[phi1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Power[N[(1.0 - N[(N[(0.5 - N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -1e-14], t$95$1, If[LessEqual[t$95$0, 5e-11], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[(1.0 / N[Power[N[(1.0 - N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 0.25 \cdot {\phi_1}^{2}\right)}}{{\left(1 - \mathsf{fma}\left(0.5 - \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot 0.5, \cos \phi_1, \left(\phi_1 \cdot \phi_1\right) \cdot 0.25\right)\right)}^{0.5}}\right)\\
\mathbf{if}\;t\_0 \leq -1 \cdot 10^{-14}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-11}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sqrt{0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}\right)}^{2}}}{\frac{1}{{\left(1 - \left(0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\right)\right)}^{-0.5}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -1e-14 or 5.0000000000000002e-11 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6432.3%
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
Applied rewrites28.2%
if -1e-14 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 5.0000000000000002e-11Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Applied rewrites25.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(+ 1.0 (* -0.5 (pow phi1 2.0)))
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(* 0.25 (pow phi1 2.0)))))
(if (<= phi1 -2.15e-9)
(*
R
(*
2.0
(atan2
(sqrt
(pow
(sqrt
(-
(+ 0.5 (* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(* 0.5 (cos phi1))))
2.0))
(sqrt (- 1.0 (pow (sqrt (- 0.5 (* 0.5 (cos (- phi1 phi2))))) 2.0))))))
(if (<= phi1 0.23)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(-
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(*
(fma (cos (* -1.0 (- lambda1 lambda2))) 0.5 -0.5)
(cos phi1))))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((1.0 + (-0.5 * pow(phi1, 2.0))), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), (0.25 * pow(phi1, 2.0)));
double tmp;
if (phi1 <= -2.15e-9) {
tmp = R * (2.0 * atan2(sqrt(pow(sqrt(((0.5 + (cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2)))))) - (0.5 * cos(phi1)))), 2.0)), sqrt((1.0 - pow(sqrt((0.5 - (0.5 * cos((phi1 - phi2))))), 2.0)))));
} else if (phi1 <= 0.23) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) - (fma(cos((-1.0 * (lambda1 - lambda2))), 0.5, -0.5) * cos(phi1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(1.0 + Float64(-0.5 * (phi1 ^ 2.0))), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(0.25 * (phi1 ^ 2.0))) tmp = 0.0 if (phi1 <= -2.15e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt((sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) - Float64(0.5 * cos(phi1)))) ^ 2.0)), sqrt(Float64(1.0 - (sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2))))) ^ 2.0)))))); elseif (phi1 <= 0.23) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) - Float64(fma(cos(Float64(-1.0 * Float64(lambda1 - lambda2))), 0.5, -0.5) * cos(phi1)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(1.0 + N[(-0.5 * N[Power[phi1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(0.25 * N[Power[phi1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.15e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.23], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(1 + -0.5 \cdot {\phi_1}^{2}, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 0.25 \cdot {\phi_1}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sqrt{\left(0.5 + \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5 \cdot \cos \phi_1}\right)}^{2}}}{\sqrt{1 - {\left(\sqrt{0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}\right)}^{2}}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.23:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) - \mathsf{fma}\left(\cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right), 0.5, -0.5\right) \cdot \cos \phi_1\right)}}\right)\\
\end{array}
if phi1 < -2.1499999999999998e-9Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lower-pow.f64N/A
Applied rewrites24.1%
if -2.1499999999999998e-9 < phi1 < 0.23000000000000001Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6432.3%
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
if 0.23000000000000001 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6437.5%
Applied rewrites37.5%
Applied rewrites37.5%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6424.7%
Applied rewrites24.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(* (* phi1 phi1) 0.25))))
(if (<= phi1 -2.15e-9)
(*
R
(*
2.0
(atan2
(sqrt
(pow
(sqrt
(-
(+ 0.5 (* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(* 0.5 (cos phi1))))
2.0))
(sqrt (- 1.0 (pow (sqrt (- 0.5 (* 0.5 (cos (- phi1 phi2))))) 2.0))))))
(if (<= phi1 0.23)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(-
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(*
(fma (cos (* -1.0 (- lambda1 lambda2))) 0.5 -0.5)
(cos phi1))))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), ((phi1 * phi1) * 0.25));
double tmp;
if (phi1 <= -2.15e-9) {
tmp = R * (2.0 * atan2(sqrt(pow(sqrt(((0.5 + (cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2)))))) - (0.5 * cos(phi1)))), 2.0)), sqrt((1.0 - pow(sqrt((0.5 - (0.5 * cos((phi1 - phi2))))), 2.0)))));
} else if (phi1 <= 0.23) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) - (fma(cos((-1.0 * (lambda1 - lambda2))), 0.5, -0.5) * cos(phi1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(Float64(phi1 * phi1) * 0.25)) tmp = 0.0 if (phi1 <= -2.15e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt((sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) - Float64(0.5 * cos(phi1)))) ^ 2.0)), sqrt(Float64(1.0 - (sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2))))) ^ 2.0)))))); elseif (phi1 <= 0.23) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) - Float64(fma(cos(Float64(-1.0 * Float64(lambda1 - lambda2))), 0.5, -0.5) * cos(phi1)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.15e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.23], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \left(\phi_1 \cdot \phi_1\right) \cdot 0.25\right)\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sqrt{\left(0.5 + \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5 \cdot \cos \phi_1}\right)}^{2}}}{\sqrt{1 - {\left(\sqrt{0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}\right)}^{2}}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.23:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) - \mathsf{fma}\left(\cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right), 0.5, -0.5\right) \cdot \cos \phi_1\right)}}\right)\\
\end{array}
if phi1 < -2.1499999999999998e-9Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lower-pow.f64N/A
Applied rewrites24.1%
if -2.1499999999999998e-9 < phi1 < 0.23000000000000001Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6432.3%
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
lower-*.f32N/A
lower-unsound-*.f32N/A
lower-*.f64N/A
lower-unsound-*.f6422.9%
Applied rewrites22.9%
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
lower-*.f32N/A
lower-unsound-*.f32N/A
lower-*.f64N/A
lower-unsound-*.f6422.9%
Applied rewrites22.9%
if 0.23000000000000001 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6437.5%
Applied rewrites37.5%
Applied rewrites37.5%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6424.7%
Applied rewrites24.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -1.0 (- lambda1 lambda2))))
(t_1 (fma (- 0.5 (* t_0 0.5)) (cos phi1) (* (* phi1 phi1) 0.25))))
(if (<= phi1 -2.15e-9)
(*
R
(*
2.0
(atan2
(sqrt
(pow
(sqrt
(-
(+ 0.5 (* (cos phi1) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))
(* 0.5 (cos phi1))))
2.0))
(sqrt (- 1.0 (pow (sqrt (- 0.5 (* 0.5 (cos (- phi1 phi2))))) 2.0))))))
(if (<= phi1 0.23)
(* (* (atan2 (sqrt t_1) (sqrt (- 1.0 t_1))) 2.0) R)
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(-
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(* (fma t_0 0.5 -0.5) (cos phi1))))))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((-1.0 * (lambda1 - lambda2)));
double t_1 = fma((0.5 - (t_0 * 0.5)), cos(phi1), ((phi1 * phi1) * 0.25));
double tmp;
if (phi1 <= -2.15e-9) {
tmp = R * (2.0 * atan2(sqrt(pow(sqrt(((0.5 + (cos(phi1) * (0.5 - (0.5 * cos((lambda1 - lambda2)))))) - (0.5 * cos(phi1)))), 2.0)), sqrt((1.0 - pow(sqrt((0.5 - (0.5 * cos((phi1 - phi2))))), 2.0)))));
} else if (phi1 <= 0.23) {
tmp = (atan2(sqrt(t_1), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) - (fma(t_0, 0.5, -0.5) * cos(phi1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(-1.0 * Float64(lambda1 - lambda2))) t_1 = fma(Float64(0.5 - Float64(t_0 * 0.5)), cos(phi1), Float64(Float64(phi1 * phi1) * 0.25)) tmp = 0.0 if (phi1 <= -2.15e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt((sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))) - Float64(0.5 * cos(phi1)))) ^ 2.0)), sqrt(Float64(1.0 - (sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2))))) ^ 2.0)))))); elseif (phi1 <= 0.23) tmp = Float64(Float64(atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) - Float64(fma(t_0, 0.5, -0.5) * cos(phi1)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.15e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.23], N[(N[(N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$0 * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
t_0 := \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_1 := \mathsf{fma}\left(0.5 - t\_0 \cdot 0.5, \cos \phi_1, \left(\phi_1 \cdot \phi_1\right) \cdot 0.25\right)\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sqrt{\left(0.5 + \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5 \cdot \cos \phi_1}\right)}^{2}}}{\sqrt{1 - {\left(\sqrt{0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}\right)}^{2}}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.23:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) - \mathsf{fma}\left(t\_0, 0.5, -0.5\right) \cdot \cos \phi_1\right)}}\right)\\
\end{array}
if phi1 < -2.1499999999999998e-9Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lower-pow.f64N/A
Applied rewrites24.1%
if -2.1499999999999998e-9 < phi1 < 0.23000000000000001Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6432.3%
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
Applied rewrites20.2%
if 0.23000000000000001 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6437.5%
Applied rewrites37.5%
Applied rewrites37.5%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6424.7%
Applied rewrites24.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -1.0 (- lambda1 lambda2))))
(t_1
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(sqrt
(-
1.0
(-
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(* (fma t_0 0.5 -0.5) (cos phi1)))))))))
(t_2 (fma (- 0.5 (* t_0 0.5)) (cos phi1) (* (* phi1 phi1) 0.25))))
(if (<= phi1 -2.9e-21)
t_1
(if (<= phi1 0.23)
(* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 2.0) R)
t_1))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((-1.0 * (lambda1 - lambda2)));
double t_1 = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) - (fma(t_0, 0.5, -0.5) * cos(phi1)))))));
double t_2 = fma((0.5 - (t_0 * 0.5)), cos(phi1), ((phi1 * phi1) * 0.25));
double tmp;
if (phi1 <= -2.9e-21) {
tmp = t_1;
} else if (phi1 <= 0.23) {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - t_2))) * 2.0) * R;
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(-1.0 * Float64(lambda1 - lambda2))) t_1 = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))) - Float64(fma(t_0, 0.5, -0.5) * cos(phi1)))))))) t_2 = fma(Float64(0.5 - Float64(t_0 * 0.5)), cos(phi1), Float64(Float64(phi1 * phi1) * 0.25)) tmp = 0.0 if (phi1 <= -2.9e-21) tmp = t_1; elseif (phi1 <= 0.23) tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) * 2.0) * R); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$0 * 0.5 + -0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.9e-21], t$95$1, If[LessEqual[phi1, 0.23], 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], t$95$1]]]]]
\begin{array}{l}
t_0 := \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_1 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right) - \mathsf{fma}\left(t\_0, 0.5, -0.5\right) \cdot \cos \phi_1\right)}}\right)\\
t_2 := \mathsf{fma}\left(0.5 - t\_0 \cdot 0.5, \cos \phi_1, \left(\phi_1 \cdot \phi_1\right) \cdot 0.25\right)\\
\mathbf{if}\;\phi_1 \leq -2.9 \cdot 10^{-21}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 0.23:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
if phi1 < -2.9e-21 or 0.23000000000000001 < phi1 Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6437.5%
Applied rewrites37.5%
Applied rewrites37.5%
Taylor expanded in lambda2 around 0
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6424.7%
Applied rewrites24.7%
if -2.9e-21 < phi1 < 0.23000000000000001Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6432.3%
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
Applied rewrites20.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* (cos (- phi2 phi1)) 0.5)))
(t_1 (- 1.0 t_0))
(t_2
(fma
(- 0.5 (* (cos (* -1.0 (- lambda1 lambda2))) 0.5))
(cos phi1)
(* (* phi1 phi1) 0.25))))
(if (<= phi1 -2.9e-21)
(* (* (atan2 (sqrt t_0) (sqrt t_1)) 2.0) R)
(if (<= phi1 0.1)
(* (* (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 2.0) R)
(*
R
(*
2.0
(atan2
(sqrt (pow (sqrt (- 0.5 (* 0.5 (cos (- phi1 phi2))))) 2.0))
(/ 1.0 (pow t_1 -0.5)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (cos((phi2 - phi1)) * 0.5);
double t_1 = 1.0 - t_0;
double t_2 = fma((0.5 - (cos((-1.0 * (lambda1 - lambda2))) * 0.5)), cos(phi1), ((phi1 * phi1) * 0.25));
double tmp;
if (phi1 <= -2.9e-21) {
tmp = (atan2(sqrt(t_0), sqrt(t_1)) * 2.0) * R;
} else if (phi1 <= 0.1) {
tmp = (atan2(sqrt(t_2), sqrt((1.0 - t_2))) * 2.0) * R;
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sqrt((0.5 - (0.5 * cos((phi1 - phi2))))), 2.0)), (1.0 / pow(t_1, -0.5))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5)) t_1 = Float64(1.0 - t_0) t_2 = fma(Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(lambda1 - lambda2))) * 0.5)), cos(phi1), Float64(Float64(phi1 * phi1) * 0.25)) tmp = 0.0 if (phi1 <= -2.9e-21) tmp = Float64(Float64(atan(sqrt(t_0), sqrt(t_1)) * 2.0) * R); elseif (phi1 <= 0.1) tmp = Float64(Float64(atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) * 2.0) * R); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2))))) ^ 2.0)), Float64(1.0 / (t_1 ^ -0.5))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 - N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.9e-21], N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[t$95$1], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi1, 0.1], 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], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[(1.0 / N[Power[t$95$1, -0.5], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
t_0 := 0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\\
t_1 := 1 - t\_0\\
t_2 := \mathsf{fma}\left(0.5 - \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot 0.5, \cos \phi_1, \left(\phi_1 \cdot \phi_1\right) \cdot 0.25\right)\\
\mathbf{if}\;\phi_1 \leq -2.9 \cdot 10^{-21}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{t\_1}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_1 \leq 0.1:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sqrt{0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}\right)}^{2}}}{\frac{1}{{t\_1}^{-0.5}}}\right)\\
\end{array}
if phi1 < -2.9e-21Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Applied rewrites25.9%
if -2.9e-21 < phi1 < 0.10000000000000001Initial program 62.9%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.1%
Applied rewrites47.1%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6447.2%
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6432.3%
Applied rewrites32.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-pow.f6422.9%
Applied rewrites22.9%
Applied rewrites20.2%
if 0.10000000000000001 < phi1 Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Applied rewrites25.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sqrt (- 0.5 (* 0.5 (cos (- phi1 phi2))))) 2.0))
(/ 1.0 (pow (- 1.0 (- 0.5 (* (cos (- phi2 phi1)) 0.5))) -0.5))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sqrt((0.5 - (0.5 * cos((phi1 - phi2))))), 2.0)), (1.0 / pow((1.0 - (0.5 - (cos((phi2 - phi1)) * 0.5))), -0.5))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = r * (2.0d0 * atan2(sqrt((sqrt((0.5d0 - (0.5d0 * cos((phi1 - phi2))))) ** 2.0d0)), (1.0d0 / ((1.0d0 - (0.5d0 - (cos((phi2 - phi1)) * 0.5d0))) ** (-0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sqrt((0.5 - (0.5 * Math.cos((phi1 - phi2))))), 2.0)), (1.0 / Math.pow((1.0 - (0.5 - (Math.cos((phi2 - phi1)) * 0.5))), -0.5))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sqrt(math.pow(math.sqrt((0.5 - (0.5 * math.cos((phi1 - phi2))))), 2.0)), (1.0 / math.pow((1.0 - (0.5 - (math.cos((phi2 - phi1)) * 0.5))), -0.5))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2))))) ^ 2.0)), Float64(1.0 / (Float64(1.0 - Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5))) ^ -0.5))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sqrt((sqrt((0.5 - (0.5 * cos((phi1 - phi2))))) ^ 2.0)), (1.0 / ((1.0 - (0.5 - (cos((phi2 - phi1)) * 0.5))) ^ -0.5)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[(1.0 / N[Power[N[(1.0 - N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sqrt{0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}\right)}^{2}}}{\frac{1}{{\left(1 - \left(0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\right)\right)}^{-0.5}}}\right)
Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Applied rewrites25.9%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (- 0.5 (* (cos (- phi2 phi1)) 0.5)))) (* (* (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 = 0.5 - (cos((phi2 - phi1)) * 0.5);
return (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 - (cos((phi2 - phi1)) * 0.5d0)
code = (atan2(sqrt(t_0), sqrt((1.0d0 - t_0))) * 2.0d0) * r
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (Math.cos((phi2 - phi1)) * 0.5);
return (Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))) * 2.0) * R;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 - (math.cos((phi2 - phi1)) * 0.5) return (math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))) * 2.0) * R
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(cos(Float64(phi2 - phi1)) * 0.5)) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 - (cos((phi2 - phi1)) * 0.5); tmp = (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $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}
t_0 := 0.5 - \cos \left(\phi_2 - \phi_1\right) \cdot 0.5\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R
\end{array}
Initial program 62.9%
Applied rewrites57.7%
Applied rewrites57.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites38.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
Applied rewrites35.2%
Taylor expanded in lambda1 around 0
Applied rewrites19.8%
Taylor expanded in lambda1 around 0
Applied rewrites25.9%
Applied rewrites25.9%
herbie shell --seed 2025205
(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))))))))))