
(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 (* (cos phi2) (cos phi1)))
(t_1 (* (cos (* lambda2 0.5)) (sin (* lambda1 0.5))))
(t_2 (* (sin (* phi2 0.5)) (cos (* -0.5 phi1))))
(t_3 (* (sin (* lambda2 -0.5)) (cos (* lambda1 -0.5))))
(t_4 (* (cos (* -0.5 phi2)) (sin (* phi1 0.5))))
(t_5
(+
(+ (- (pow t_4 2.0) (* 2.0 (* t_4 t_2))) (pow t_2 2.0))
(fma
(- (pow t_1 2.0) (* -2.0 (* t_1 t_3)))
t_0
(* (pow t_3 2.0) t_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 = cos(phi2) * cos(phi1);
double t_1 = cos((lambda2 * 0.5)) * sin((lambda1 * 0.5));
double t_2 = sin((phi2 * 0.5)) * cos((-0.5 * phi1));
double t_3 = sin((lambda2 * -0.5)) * cos((lambda1 * -0.5));
double t_4 = cos((-0.5 * phi2)) * sin((phi1 * 0.5));
double t_5 = ((pow(t_4, 2.0) - (2.0 * (t_4 * t_2))) + pow(t_2, 2.0)) + fma((pow(t_1, 2.0) - (-2.0 * (t_1 * t_3))), t_0, (pow(t_3, 2.0) * t_0));
return R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(cos(Float64(lambda2 * 0.5)) * sin(Float64(lambda1 * 0.5))) t_2 = Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(-0.5 * phi1))) t_3 = Float64(sin(Float64(lambda2 * -0.5)) * cos(Float64(lambda1 * -0.5))) t_4 = Float64(cos(Float64(-0.5 * phi2)) * sin(Float64(phi1 * 0.5))) t_5 = Float64(Float64(Float64((t_4 ^ 2.0) - Float64(2.0 * Float64(t_4 * t_2))) + (t_2 ^ 2.0)) + fma(Float64((t_1 ^ 2.0) - Float64(-2.0 * Float64(t_1 * t_3))), t_0, Float64((t_3 ^ 2.0) * t_0))) return Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))) 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[(N[Cos[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda1 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Power[t$95$4, 2.0], $MachinePrecision] - N[(2.0 * N[(t$95$4 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Power[t$95$1, 2.0], $MachinePrecision] - N[(-2.0 * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(N[Power[t$95$3, 2.0], $MachinePrecision] * t$95$0), $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 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \cos \left(\lambda_2 \cdot 0.5\right) \cdot \sin \left(\lambda_1 \cdot 0.5\right)\\
t_2 := \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(-0.5 \cdot \phi_1\right)\\
t_3 := \sin \left(\lambda_2 \cdot -0.5\right) \cdot \cos \left(\lambda_1 \cdot -0.5\right)\\
t_4 := \cos \left(-0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\\
t_5 := \left(\left({t\_4}^{2} - 2 \cdot \left(t\_4 \cdot t\_2\right)\right) + {t\_2}^{2}\right) + \mathsf{fma}\left({t\_1}^{2} - -2 \cdot \left(t\_1 \cdot t\_3\right), t\_0, {t\_3}^{2} \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)
\end{array}
Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
Applied rewrites98.7%
Applied rewrites98.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin (* phi2 0.5)) (cos (* -0.5 phi1))))
(t_1 (* (cos (* -0.5 phi2)) (sin (* phi1 0.5))))
(t_2
(+
(+ (- (pow t_1 2.0) (* 2.0 (* t_1 t_0))) (pow t_0 2.0))
(*
(cos phi1)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
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((phi2 * 0.5)) * cos((-0.5 * phi1));
double t_1 = cos((-0.5 * phi2)) * sin((phi1 * 0.5));
double t_2 = ((pow(t_1, 2.0) - (2.0 * (t_1 * t_0))) + pow(t_0, 2.0)) + (cos(phi1) * (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 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(phi2 * 0.5)) * cos(Float64(-0.5 * phi1))) t_1 = Float64(cos(Float64(-0.5 * phi2)) * sin(Float64(phi1 * 0.5))) t_2 = Float64(Float64(Float64((t_1 ^ 2.0) - Float64(2.0 * Float64(t_1 * t_0))) + (t_0 ^ 2.0)) + Float64(cos(phi1) * Float64(cos(phi2) * (fma(cos(Float64(-0.5 * lambda2)), sin(Float64(0.5 * lambda1)), Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(-0.5 * lambda2)))) ^ 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[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[Power[t$95$1, 2.0], $MachinePrecision] - N[(2.0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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]), $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(\phi_2 \cdot 0.5\right) \cdot \cos \left(-0.5 \cdot \phi_1\right)\\
t_1 := \cos \left(-0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \left(\left({t\_1}^{2} - 2 \cdot \left(t\_1 \cdot t\_0\right)\right) + {t\_0}^{2}\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)
\end{array}
Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
Taylor expanded in lambda1 around inf
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites98.8%
Taylor expanded in lambda1 around inf
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites98.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* 0.5 phi1)))
(* (cos (* -0.5 phi1)) (sin (* 0.5 phi2))))
2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0)), pow(((cos((0.5 * phi2)) * sin((0.5 * phi1))) - (cos((-0.5 * phi1)) * sin((0.5 * phi2)))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (fma(cos(Float64(-0.5 * lambda2)), sin(Float64(0.5 * lambda1)), Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(-0.5 * lambda2)))) ^ 2.0)), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(-0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(-0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites98.8%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites98.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* -0.5 phi1)) (sin (* 0.5 phi2))))
2.0)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5)))
(t_3 (cos (* phi1 0.5)))
(t_4 (* (* (* (cos phi1) (cos phi2)) t_1) t_1))
(t_5
(+
(pow (fma t_2 (cos (/ phi2 -2.0)) (* t_3 (sin (/ phi2 -2.0)))) 2.0)
t_4))
(t_6
(+
(pow (- (* t_2 (cos (* phi2 0.5))) (* t_3 (sin (* phi2 0.5)))) 2.0)
t_4)))
(if (<= phi1 -9e+17)
(* R (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_6)))))
(if (<= phi1 3.1e-56)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_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 = pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((-0.5 * phi1)) * sin((0.5 * phi2)))), 2.0) + (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
double t_3 = cos((phi1 * 0.5));
double t_4 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double t_5 = pow(fma(t_2, cos((phi2 / -2.0)), (t_3 * sin((phi2 / -2.0)))), 2.0) + t_4;
double t_6 = pow(((t_2 * cos((phi2 * 0.5))) - (t_3 * sin((phi2 * 0.5)))), 2.0) + t_4;
double tmp;
if (phi1 <= -9e+17) {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_6))));
} else if (phi1 <= 3.1e-56) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_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 = Float64((Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(-0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(cos(phi2) * (fma(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 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) t_5 = Float64((fma(t_2, cos(Float64(phi2 / -2.0)), Float64(t_3 * sin(Float64(phi2 / -2.0)))) ^ 2.0) + t_4) t_6 = Float64((Float64(Float64(t_2 * cos(Float64(phi2 * 0.5))) - Float64(t_3 * sin(Float64(phi2 * 0.5)))) ^ 2.0) + t_4) tmp = 0.0 if (phi1 <= -9e+17) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_6))))); elseif (phi1 <= 3.1e-56) 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_5), sqrt(Float64(1.0 - t_5))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[Power[N[(t$95$2 * N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] + N[(t$95$3 * N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Power[N[(N[(t$95$2 * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$3 * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[phi1, -9e+17], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.1e-56], 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$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
t_0 := {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(-0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + \cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_5 := {\left(\mathsf{fma}\left(t\_2, \cos \left(\frac{\phi_2}{-2}\right), t\_3 \cdot \sin \left(\frac{\phi_2}{-2}\right)\right)\right)}^{2} + t\_4\\
t_6 := {\left(t\_2 \cdot \cos \left(\phi_2 \cdot 0.5\right) - t\_3 \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2} + t\_4\\
\mathbf{if}\;\phi_1 \leq -9 \cdot 10^{+17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.1 \cdot 10^{-56}:\\
\;\;\;\;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\_5}}{\sqrt{1 - t\_5}}\right)\\
\end{array}
if phi1 < -9e17Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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
mult-flipN/A
metadata-evalN/A
lower-*.f6463.6
Applied rewrites63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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
mult-flipN/A
metadata-evalN/A
lower-*.f6478.6
Applied rewrites78.6%
if -9e17 < phi1 < 3.09999999999999987e-56Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites69.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites66.2%
if 3.09999999999999987e-56 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites78.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5)))
(t_3 (cos (* phi1 0.5)))
(t_4 (* (* (* (cos phi1) (cos phi2)) t_1) t_1))
(t_5
(+
(pow (fma t_2 (cos (/ phi2 -2.0)) (* t_3 (sin (/ phi2 -2.0)))) 2.0)
t_4))
(t_6
(+
(pow (- (* t_2 (cos (* phi2 0.5))) (* t_3 (sin (* phi2 0.5)))) 2.0)
t_4)))
(if (<= phi1 -1.1e+21)
(* R (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_6)))))
(if (<= phi1 3.1e-56)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_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 = fma(cos(phi1), (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0)), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
double t_3 = cos((phi1 * 0.5));
double t_4 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double t_5 = pow(fma(t_2, cos((phi2 / -2.0)), (t_3 * sin((phi2 / -2.0)))), 2.0) + t_4;
double t_6 = pow(((t_2 * cos((phi2 * 0.5))) - (t_3 * sin((phi2 * 0.5)))), 2.0) + t_4;
double tmp;
if (phi1 <= -1.1e+21) {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_6))));
} else if (phi1 <= 3.1e-56) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_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 = fma(cos(phi1), Float64(cos(phi2) * (fma(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 * Float64(phi1 - phi2))) ^ 2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) t_5 = Float64((fma(t_2, cos(Float64(phi2 / -2.0)), Float64(t_3 * sin(Float64(phi2 / -2.0)))) ^ 2.0) + t_4) t_6 = Float64((Float64(Float64(t_2 * cos(Float64(phi2 * 0.5))) - Float64(t_3 * sin(Float64(phi2 * 0.5)))) ^ 2.0) + t_4) tmp = 0.0 if (phi1 <= -1.1e+21) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_6))))); elseif (phi1 <= 3.1e-56) 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_5), sqrt(Float64(1.0 - t_5))))); 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[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[Power[N[(t$95$2 * N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] + N[(t$95$3 * N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Power[N[(N[(t$95$2 * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$3 * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[phi1, -1.1e+21], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.1e-56], 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$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_5 := {\left(\mathsf{fma}\left(t\_2, \cos \left(\frac{\phi_2}{-2}\right), t\_3 \cdot \sin \left(\frac{\phi_2}{-2}\right)\right)\right)}^{2} + t\_4\\
t_6 := {\left(t\_2 \cdot \cos \left(\phi_2 \cdot 0.5\right) - t\_3 \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2} + t\_4\\
\mathbf{if}\;\phi_1 \leq -1.1 \cdot 10^{+21}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}}\right)\\
\mathbf{elif}\;\phi_1 \leq 3.1 \cdot 10^{-56}:\\
\;\;\;\;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\_5}}{\sqrt{1 - t\_5}}\right)\\
\end{array}
if phi1 < -1.1e21Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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
mult-flipN/A
metadata-evalN/A
lower-*.f6463.6
Applied rewrites63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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
mult-flipN/A
metadata-evalN/A
lower-*.f6478.6
Applied rewrites78.6%
if -1.1e21 < phi1 < 3.09999999999999987e-56Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites77.6%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites77.6%
if 3.09999999999999987e-56 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites78.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(pow
(-
(* (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 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi1 -1.1e+21)
t_3
(if (<= phi1 3.1e-56)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_3))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0)), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(((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 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi1 <= -1.1e+21) {
tmp = t_3;
} else if (phi1 <= 3.1e-56) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (fma(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 * Float64(phi1 - phi2))) ^ 2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64((Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * 0.5)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi1 <= -1.1e+21) tmp = t_3; elseif (phi1 <= 3.1e-56) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_3; 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[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $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[(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, -1.1e+21], t$95$3, If[LessEqual[phi1, 3.1e-56], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \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)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.1 \cdot 10^{+21}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 3.1 \cdot 10^{-56}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
if phi1 < -1.1e21 or 3.09999999999999987e-56 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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
mult-flipN/A
metadata-evalN/A
lower-*.f6463.6
Applied rewrites63.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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
mult-flipN/A
metadata-evalN/A
lower-*.f6478.6
Applied rewrites78.6%
if -1.1e21 < phi1 < 3.09999999999999987e-56Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites77.6%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites77.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(t_1
(+
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* -0.5 phi1)) (sin (* 0.5 phi2))))
2.0)
(*
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5))))))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi1 -1.1e+21)
t_2
(if (<= phi1 1.8e-10)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0)), pow(sin((0.5 * (phi1 - phi2))), 2.0));
double t_1 = pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((-0.5 * phi1)) * sin((0.5 * phi2)))), 2.0) + ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi1 <= -1.1e+21) {
tmp = t_2;
} else if (phi1 <= 1.8e-10) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (fma(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 * Float64(phi1 - phi2))) ^ 2.0)) t_1 = Float64((Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(-0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi1 <= -1.1e+21) tmp = t_2; elseif (phi1 <= 1.8e-10) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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[phi1, -1.1e+21], t$95$2, If[LessEqual[phi1, 1.8e-10], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
t_1 := {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(-0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.1 \cdot 10^{+21}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 1.8 \cdot 10^{-10}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if phi1 < -1.1e21 or 1.8e-10 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
Applied rewrites76.6%
Applied rewrites76.0%
if -1.1e21 < phi1 < 1.8e-10Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites77.6%
Taylor expanded in lambda1 around inf
lower-fma.f64N/A
Applied rewrites77.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(*
(cos phi2)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))))
(t_1
(+
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* -0.5 phi1)) (sin (* 0.5 phi2))))
2.0)
(*
(* (cos phi2) (cos phi1))
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5))))))))
(t_2 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi1 -1.1e+21)
t_2
(if (<= phi1 1.8e-10)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi2) * pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0));
double t_1 = pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((-0.5 * phi1)) * sin((0.5 * phi2)))), 2.0) + ((cos(phi2) * cos(phi1)) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))));
double t_2 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi1 <= -1.1e+21) {
tmp = t_2;
} else if (phi1 <= 1.8e-10) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi2) * (fma(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 = Float64((Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(-0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))))) t_2 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi1 <= -1.1e+21) tmp = t_2; elseif (phi1 <= 1.8e-10) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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[phi1, -1.1e+21], t$95$2, If[LessEqual[phi1, 1.8e-10], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_2 \cdot {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}\\
t_1 := {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(-0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.1 \cdot 10^{+21}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 1.8 \cdot 10^{-10}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if phi1 < -1.1e21 or 1.8e-10 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
Applied rewrites76.6%
Applied rewrites76.0%
if -1.1e21 < phi1 < 1.8e-10Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0))
(t_1 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi1) t_0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -0.018)
t_3
(if (<= phi2 0.24)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(cos((-0.5 * lambda2)), sin((0.5 * lambda1)), (cos((0.5 * lambda1)) * sin((-0.5 * lambda2)))), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * t_0);
double t_2 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -0.018) {
tmp = t_3;
} else if (phi2 <= 0.24) {
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 = fma(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 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * t_0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -0.018) tmp = t_3; elseif (phi2 <= 0.24) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, 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[(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, -0.018], t$95$3, If[LessEqual[phi2, 0.24], 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 := {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot t\_0\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -0.018:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 0.24:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
if phi2 < -0.0179999999999999986 or 0.23999999999999999 < phi2 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.2%
if -0.0179999999999999986 < phi2 < 0.23999999999999999Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.7%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(fma
(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 (* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
(if (<= phi1 -215000000000.0)
t_2
(if (<= phi1 2.85e-5)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi2) t_0)))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))))
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(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 = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
double tmp;
if (phi1 <= -215000000000.0) {
tmp = t_2;
} else if (phi1 <= 2.85e-5) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi2) * t_0))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(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 = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) tmp = 0.0 if (phi1 <= -215000000000.0) tmp = t_2; elseif (phi1 <= 2.85e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi2) * t_0))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[(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[phi1, -215000000000.0], t$95$2, If[LessEqual[phi1, 2.85e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
t_0 := {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{if}\;\phi_1 \leq -215000000000:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 2.85 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_2 \cdot t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if phi1 < -2.15e11 or 2.8500000000000002e-5 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.5%
if -2.15e11 < phi1 < 2.8500000000000002e-5Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
Applied rewrites58.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(fma
(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 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi1 -215000000000.0)
t_3
(if (<= phi1 1.3e-30)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(fma(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 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi1 <= -215000000000.0) {
tmp = t_3;
} else if (phi1 <= 1.3e-30) {
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 = fma(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(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi1 <= -215000000000.0) tmp = t_3; elseif (phi1 <= 1.3e-30) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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[(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, -215000000000.0], t$95$3, If[LessEqual[phi1, 1.3e-30], 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 := {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\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 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_1 \leq -215000000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.3 \cdot 10^{-30}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
if phi1 < -2.15e11 or 1.29999999999999993e-30 < phi1 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.5%
if -2.15e11 < phi1 < 1.29999999999999993e-30Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites56.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(t_2
(fma
(cos phi1)
(pow
(fma
(cos (* -0.5 lambda2))
(sin (* 0.5 lambda1))
(* (cos (* 0.5 lambda1)) (sin (* -0.5 lambda2))))
2.0)
(pow t_0 2.0)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))
(t_5
(/
(+
(- (cos (/ (- (- phi2 phi1) (- phi2 phi1)) -2.0)) t_4)
(* (+ (cos (- phi2 phi1)) (cos (+ phi2 phi1))) t_1))
2.0)))
(if (<= phi2 -0.082)
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))
(if (<= phi2 0.24)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
t_0
(cos (* 0.5 phi2))
(* (- (sin (* 0.5 phi2))) (cos (* 0.5 phi1))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_3) t_3)))
(exp
(*
(log (- (+ 0.5 (* 0.5 t_4)) (* t_1 (* (cos phi2) (cos phi1)))))
0.5)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))));
double t_2 = fma(cos(phi1), pow(fma(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_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = cos((2.0 * (0.5 * (phi1 - phi2))));
double t_5 = ((cos((((phi2 - phi1) - (phi2 - phi1)) / -2.0)) - t_4) + ((cos((phi2 - phi1)) + cos((phi2 + phi1))) * t_1)) / 2.0;
double tmp;
if (phi2 <= -0.082) {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
} else if (phi2 <= 0.24) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(fma(t_0, cos((0.5 * phi2)), (-sin((0.5 * phi2)) * cos((0.5 * phi1)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_3) * t_3))), exp((log(((0.5 + (0.5 * t_4)) - (t_1 * (cos(phi2) * cos(phi1))))) * 0.5))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) t_2 = fma(cos(phi1), (fma(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_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))) t_5 = Float64(Float64(Float64(cos(Float64(Float64(Float64(phi2 - phi1) - Float64(phi2 - phi1)) / -2.0)) - t_4) + Float64(Float64(cos(Float64(phi2 - phi1)) + cos(Float64(phi2 + phi1))) * t_1)) / 2.0) tmp = 0.0 if (phi2 <= -0.082) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); elseif (phi2 <= 0.24) 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(Float64((fma(t_0, cos(Float64(0.5 * phi2)), Float64(Float64(-sin(Float64(0.5 * phi2))) * cos(Float64(0.5 * phi1)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_3) * t_3))), exp(Float64(log(Float64(Float64(0.5 + Float64(0.5 * t_4)) - Float64(t_1 * Float64(cos(phi2) * cos(phi1))))) * 0.5))))); 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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[Cos[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $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$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Cos[N[(N[(N[(phi2 - phi1), $MachinePrecision] - N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision] - t$95$4), $MachinePrecision] + N[(N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[phi2, -0.082], 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, 0.24], 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[N[(N[Power[N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[((-N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]) * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Exp[N[(N[Log[N[(N[(0.5 + N[(0.5 * t$95$4), $MachinePrecision]), $MachinePrecision] - N[(t$95$1 * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_2 := \mathsf{fma}\left(\cos \phi_1, {\left(\mathsf{fma}\left(\cos \left(-0.5 \cdot \lambda_2\right), \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)\right)}^{2}, {t\_0}^{2}\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_5 := \frac{\left(\cos \left(\frac{\left(\phi_2 - \phi_1\right) - \left(\phi_2 - \phi_1\right)}{-2}\right) - t\_4\right) + \left(\cos \left(\phi_2 - \phi_1\right) + \cos \left(\phi_2 + \phi_1\right)\right) \cdot t\_1}{2}\\
\mathbf{if}\;\phi_2 \leq -0.082:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.24:\\
\;\;\;\;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{{\left(\mathsf{fma}\left(t\_0, \cos \left(0.5 \cdot \phi_2\right), \left(-\sin \left(0.5 \cdot \phi_2\right)\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) \cdot t\_3}}{e^{\log \left(\left(0.5 + 0.5 \cdot t\_4\right) - t\_1 \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) \cdot 0.5}}\right)\\
\end{array}
if phi2 < -0.0820000000000000034Initial program 62.7%
Applied rewrites58.2%
Applied rewrites58.6%
if -0.0820000000000000034 < phi2 < 0.23999999999999999Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.5%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
Applied rewrites57.5%
if 0.23999999999999999 < phi2 Initial program 62.7%
Applied rewrites62.8%
Applied rewrites63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (cos phi1) t_0)))
(t_2 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -0.082)
t_3
(if (<= phi2 0.021)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (cos(phi1) * t_0);
double t_2 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -0.082) {
tmp = t_3;
} else if (phi2 <= 0.021) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(cos(phi1) * t_0)) t_2 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -0.082) tmp = t_3; elseif (phi2 <= 0.021) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$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[(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, -0.082], t$95$3, If[LessEqual[phi2, 0.021], 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 \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \cos \phi_1 \cdot t\_0\\
t_2 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -0.082:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 0.021:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
if phi2 < -0.0820000000000000034 or 0.0210000000000000013 < phi2 Initial program 62.7%
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-*.f6446.3
Applied rewrites46.3%
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-*.f6446.5
Applied rewrites46.5%
if -0.0820000000000000034 < phi2 < 0.0210000000000000013Initial program 62.7%
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--.f6453.5
Applied rewrites53.5%
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--.f6451.4
Applied rewrites51.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* 0.5 phi1))
(cos (* 0.5 phi2))
(* (- (sin (* 0.5 phi2))) (cos (* 0.5 phi1))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(exp
(*
(log
(-
(+ 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)))))
0.5)))))))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((0.5 * phi1)), cos((0.5 * phi2)), (-sin((0.5 * phi2)) * cos((0.5 * phi1)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((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))))) * 0.5))));
}
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(0.5 * phi1)), cos(Float64(0.5 * phi2)), Float64(Float64(-sin(Float64(0.5 * phi2))) * cos(Float64(0.5 * phi1)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), exp(Float64(log(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))))) * 0.5))))) 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[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[((-N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]) * N[Cos[N[(0.5 * phi1), $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[Exp[N[(N[Log[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] * 0.5), $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(0.5 \cdot \phi_1\right), \cos \left(0.5 \cdot \phi_2\right), \left(-\sin \left(0.5 \cdot \phi_2\right)\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{e^{\log \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) \cdot 0.5}}\right)
\end{array}
Initial program 62.7%
Applied rewrites62.8%
Applied rewrites63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(exp
(*
(log
(-
(+ 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)))))
0.5)))))))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((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((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))))) * 0.5))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((((sin((0.5d0 * phi1)) * cos((0.5d0 * phi2))) - (cos((0.5d0 * phi1)) * sin((0.5d0 * phi2)))) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((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))))) * 0.5d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(((Math.sin((0.5 * phi1)) * Math.cos((0.5 * phi2))) - (Math.cos((0.5 * phi1)) * Math.sin((0.5 * phi2)))), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.exp((Math.log(((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))))) * 0.5))));
}
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((0.5 * phi1)) * math.cos((0.5 * phi2))) - (math.cos((0.5 * phi1)) * math.sin((0.5 * phi2)))), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))), math.exp((math.log(((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))))) * 0.5))))
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((Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), exp(Float64(log(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))))) * 0.5))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), exp((log(((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))))) * 0.5)))); 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[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Exp[N[(N[Log[N[(N[(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] * 0.5), $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(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{e^{\log \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) \cdot 0.5}}\right)
\end{array}
Initial program 62.7%
Applied rewrites62.8%
Applied rewrites63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3 (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
(t_4 (* (cos phi2) (cos phi1)))
(t_5 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_6 (- (+ 0.5 t_1) (* t_3 t_4))))
(if (<= (+ t_5 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)) 0.002)
(*
R
(*
2.0
(atan2
(sqrt (+ t_5 (* (cos phi1) (pow (sin t_2) 2.0))))
(exp (* (log t_6) 0.5)))))
(* (* (atan2 (sqrt (fma t_3 t_4 (- 0.5 t_1))) (sqrt t_6)) 2.0) R))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = 0.5 - (0.5 * cos((2.0 * t_2)));
double t_4 = cos(phi2) * cos(phi1);
double t_5 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_6 = (0.5 + t_1) - (t_3 * t_4);
double tmp;
if ((t_5 + (((cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 0.002) {
tmp = R * (2.0 * atan2(sqrt((t_5 + (cos(phi1) * pow(sin(t_2), 2.0)))), exp((log(t_6) * 0.5))));
} else {
tmp = (atan2(sqrt(fma(t_3, t_4, (0.5 - t_1))), sqrt(t_6)) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) t_4 = Float64(cos(phi2) * cos(phi1)) t_5 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_6 = Float64(Float64(0.5 + t_1) - Float64(t_3 * t_4)) tmp = 0.0 if (Float64(t_5 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) <= 0.002) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + Float64(cos(phi1) * (sin(t_2) ^ 2.0)))), exp(Float64(log(t_6) * 0.5))))); else tmp = Float64(Float64(atan(sqrt(fma(t_3, t_4, Float64(0.5 - t_1))), sqrt(t_6)) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = N[(N[(0.5 + t$95$1), $MachinePrecision] - N[(t$95$3 * t$95$4), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$5 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 0.002], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Exp[N[(N[Log[t$95$6], $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$3 * t$95$4 + N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[t$95$6], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]]
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
t_4 := \cos \phi_2 \cdot \cos \phi_1\\
t_5 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_6 := \left(0.5 + t\_1\right) - t\_3 \cdot t\_4\\
\mathbf{if}\;t\_5 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0 \leq 0.002:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + \cos \phi_1 \cdot {\sin t\_2}^{2}}}{e^{\log t\_6 \cdot 0.5}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, t\_4, 0.5 - t\_1\right)}}{\sqrt{t\_6}} \cdot 2\right) \cdot R\\
\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))))) < 2e-3Initial program 62.7%
Applied rewrites62.8%
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--.f6453.6
Applied rewrites53.6%
if 2e-3 < (+.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 62.7%
Applied rewrites57.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 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 (/ 1.0 (pow t_2 -2.0)))))
(if (<= phi1 -215000000000.0)
(*
R
(*
2.0
(atan2
(/
1.0
(pow
(fma
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1))))))
-0.5))
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow t_2 2.0)))))))
(if (<= phi1 1.3e-30)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = 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, (1.0 / pow(t_2, -2.0)));
double tmp;
if (phi1 <= -215000000000.0) {
tmp = R * (2.0 * atan2((1.0 / pow(fma((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1)))))), -0.5)), sqrt((1.0 - fma(cos(phi1), t_0, pow(t_2, 2.0))))));
} else if (phi1 <= 1.3e-30) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = 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, Float64(1.0 / (t_2 ^ -2.0))) tmp = 0.0 if (phi1 <= -215000000000.0) tmp = Float64(R * Float64(2.0 * atan(Float64(1.0 / (fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1)))))) ^ -0.5)), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (t_2 ^ 2.0))))))); elseif (phi1 <= 1.3e-30) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[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[(1.0 / N[Power[t$95$2, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -215000000000.0], N[(R * N[(2.0 * N[ArcTan[N[(1.0 / N[Power[N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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], -0.5], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.3e-30], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \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, \frac{1}{{t\_2}^{-2}}\right)\\
\mathbf{if}\;\phi_1 \leq -215000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\frac{1}{{\left(\mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)\right)}^{-0.5}}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {t\_2}^{2}\right)}}\right)\\
\mathbf{elif}\;\phi_1 \leq 1.3 \cdot 10^{-30}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
if phi1 < -2.15e11Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-sqrt.f64N/A
pow1/2N/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
Applied rewrites43.4%
if -2.15e11 < phi1 < 1.29999999999999993e-30Initial program 62.7%
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-*.f6446.3
Applied rewrites46.3%
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-*.f6446.5
Applied rewrites46.5%
if 1.29999999999999993e-30 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-pow.f64N/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f6447.5
Applied rewrites47.5%
lift-pow.f64N/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f6447.5
Applied rewrites47.5%
(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))
(t_3 (cos (* -1.0 (- lambda1 lambda2))))
(t_4 (* 0.5 (- lambda1 lambda2)))
(t_5 (* (cos phi2) (cos phi1))))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.002)
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (* (cos phi1) (pow (sin t_4) 2.0))))
(exp
(*
(log
(-
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(* (- 0.5 (* 0.5 (cos (* 2.0 t_4)))) t_5)))
0.5)))))
(*
(*
(atan2
(sqrt
(fma
(* (- 0.5 (* t_3 0.5)) (cos phi2))
(cos phi1)
(- 0.5 (* t_0 0.5))))
(sqrt (fma (+ t_0 1.0) 0.5 (* (fma t_3 0.5 -0.5) t_5))))
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);
double t_3 = cos((-1.0 * (lambda1 - lambda2)));
double t_4 = 0.5 * (lambda1 - lambda2);
double t_5 = cos(phi2) * cos(phi1);
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.002) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * pow(sin(t_4), 2.0)))), exp((log(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) - ((0.5 - (0.5 * cos((2.0 * t_4)))) * t_5))) * 0.5))));
} else {
tmp = (atan2(sqrt(fma(((0.5 - (t_3 * 0.5)) * cos(phi2)), cos(phi1), (0.5 - (t_0 * 0.5)))), sqrt(fma((t_0 + 1.0), 0.5, (fma(t_3, 0.5, -0.5) * t_5)))) * 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 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = cos(Float64(-1.0 * Float64(lambda1 - lambda2))) t_4 = Float64(0.5 * Float64(lambda1 - lambda2)) t_5 = Float64(cos(phi2) * cos(phi1)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.002) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(cos(phi1) * (sin(t_4) ^ 2.0)))), exp(Float64(log(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 * t_4)))) * t_5))) * 0.5))))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(Float64(0.5 - Float64(t_3 * 0.5)) * cos(phi2)), cos(phi1), Float64(0.5 - Float64(t_0 * 0.5)))), sqrt(fma(Float64(t_0 + 1.0), 0.5, Float64(fma(t_3, 0.5, -0.5) * t_5)))) * 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[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $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], 0.002], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Exp[N[(N[Log[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 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(0.5 - N[(t$95$3 * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$0 + 1.0), $MachinePrecision] * 0.5 + N[(N[(t$95$3 * 0.5 + -0.5), $MachinePrecision] * t$95$5), $MachinePrecision]), $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}\\
t_3 := \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_4 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_5 := \cos \phi_2 \cdot \cos \phi_1\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.002:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \cos \phi_1 \cdot {\sin t\_4}^{2}}}{e^{\log \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 t\_4\right)\right) \cdot t\_5\right) \cdot 0.5}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(0.5 - t\_3 \cdot 0.5\right) \cdot \cos \phi_2, \cos \phi_1, 0.5 - t\_0 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_0 + 1, 0.5, \mathsf{fma}\left(t\_3, 0.5, -0.5\right) \cdot t\_5\right)}} \cdot 2\right) \cdot R\\
\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))))) < 2e-3Initial program 62.7%
Applied rewrites62.8%
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--.f6453.6
Applied rewrites53.6%
if 2e-3 < (+.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 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
Applied rewrites57.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2
(fma
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))
(t_3 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0))))
(if (<= phi1 -215000000000.0)
(* R (* 2.0 (atan2 (/ 1.0 (pow t_2 -0.5)) (sqrt (- 1.0 t_1)))))
(if (<= phi1 1.3e-30)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_2)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))));
double t_3 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double tmp;
if (phi1 <= -215000000000.0) {
tmp = R * (2.0 * atan2((1.0 / pow(t_2, -0.5)), sqrt((1.0 - t_1))));
} else if (phi1 <= 1.3e-30) {
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_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1)))))) t_3 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) tmp = 0.0 if (phi1 <= -215000000000.0) tmp = Float64(R * Float64(2.0 * atan(Float64(1.0 / (t_2 ^ -0.5)), sqrt(Float64(1.0 - t_1))))); elseif (phi1 <= 1.3e-30) 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_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -215000000000.0], N[(R * N[(2.0 * N[ArcTan[N[(1.0 / N[Power[t$95$2, -0.5], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.3e-30], 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$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -215000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\frac{1}{{t\_2}^{-0.5}}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 1.3 \cdot 10^{-30}:\\
\;\;\;\;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\_2}}\right)\\
\end{array}
if phi1 < -2.15e11Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-sqrt.f64N/A
pow1/2N/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
Applied rewrites43.4%
if -2.15e11 < phi1 < 1.29999999999999993e-30Initial program 62.7%
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-*.f6446.3
Applied rewrites46.3%
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-*.f6446.5
Applied rewrites46.5%
if 1.29999999999999993e-30 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6447.5
Applied rewrites47.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -1.0 (- lambda1 lambda2))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (* -1.0 (- phi1 phi2))))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4
(+ t_3 (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))
(if (<= (+ t_3 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.002)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(*
(*
(atan2
(sqrt
(fma
(* (- 0.5 (* t_0 0.5)) (cos phi2))
(cos phi1)
(- 0.5 (* t_2 0.5))))
(sqrt
(fma
(+ t_2 1.0)
0.5
(* (fma t_0 0.5 -0.5) (* (cos phi2) (cos phi1))))))
2.0)
R))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((-1.0 * (lambda1 - lambda2)));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((-1.0 * (phi1 - phi2)));
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = t_3 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0));
double tmp;
if ((t_3 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.002) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = (atan2(sqrt(fma(((0.5 - (t_0 * 0.5)) * cos(phi2)), cos(phi1), (0.5 - (t_2 * 0.5)))), sqrt(fma((t_2 + 1.0), 0.5, (fma(t_0, 0.5, -0.5) * (cos(phi2) * cos(phi1)))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(-1.0 * Float64(lambda1 - lambda2))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(-1.0 * Float64(phi1 - phi2))) t_3 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_4 = Float64(t_3 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) tmp = 0.0 if (Float64(t_3 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.002) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(Float64(0.5 - Float64(t_0 * 0.5)) * cos(phi2)), cos(phi1), Float64(0.5 - Float64(t_2 * 0.5)))), sqrt(fma(Float64(t_2 + 1.0), 0.5, Float64(fma(t_0, 0.5, -0.5) * Float64(cos(phi2) * cos(phi1)))))) * 2.0) * R); 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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(-1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + 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[N[(t$95$3 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.002], 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[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$2 + 1.0), $MachinePrecision] * 0.5 + N[(N[(t$95$0 * 0.5 + -0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(-1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := t\_3 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;t\_3 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.002:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(0.5 - t\_0 \cdot 0.5\right) \cdot \cos \phi_2, \cos \phi_1, 0.5 - t\_2 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_2 + 1, 0.5, \mathsf{fma}\left(t\_0, 0.5, -0.5\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right)}} \cdot 2\right) \cdot R\\
\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))))) < 2e-3Initial program 62.7%
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--.f6453.5
Applied rewrites53.5%
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--.f6451.4
Applied rewrites51.4%
if 2e-3 < (+.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 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Applied rewrites78.5%
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
lift-pow.f64N/A
lift--.f64N/A
sub-square-powN/A
lower-+.f64N/A
Applied rewrites98.8%
Applied rewrites57.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(t_2
(fma
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))
(t_3 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0))))
(if (<= phi1 -215000000000.0)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_1)))))
(if (<= phi1 1.3e-30)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_2)))))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))));
double t_3 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double tmp;
if (phi1 <= -215000000000.0) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_1))));
} else if (phi1 <= 1.3e-30) {
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_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1)))))) t_3 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) tmp = 0.0 if (phi1 <= -215000000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_1))))); elseif (phi1 <= 1.3e-30) 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_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -215000000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.3e-30], 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$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right), \cos \phi_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \phi_1\right)\right)\right)\\
t_3 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -215000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 1.3 \cdot 10^{-30}:\\
\;\;\;\;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\_2}}\right)\\
\end{array}
if phi1 < -2.15e11Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6447.5
Applied rewrites43.4%
if -2.15e11 < phi1 < 1.29999999999999993e-30Initial program 62.7%
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-*.f6446.3
Applied rewrites46.3%
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-*.f6446.5
Applied rewrites46.5%
if 1.29999999999999993e-30 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6447.5
Applied rewrites47.5%
(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)))
(exp
(*
(log
(-
(pow (cos (* (- phi1 phi2) 0.5)) 2.0)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(* (cos phi2) (cos phi1)))))
0.5)))))))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))), exp((log((pow(cos(((phi1 - phi2) * 0.5)), 2.0) - ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1))))) * 0.5))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 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))), exp((log(((cos(((phi1 - phi2) * 0.5d0)) ** 2.0d0) - ((0.5d0 - (0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1))))) * 0.5d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
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.exp((Math.log((Math.pow(Math.cos(((phi1 - phi2) * 0.5)), 2.0) - ((0.5 - (0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (Math.cos(phi2) * Math.cos(phi1))))) * 0.5))));
}
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.exp((math.log((math.pow(math.cos(((phi1 - phi2) * 0.5)), 2.0) - ((0.5 - (0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (math.cos(phi2) * math.cos(phi1))))) * 0.5))))
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))), exp(Float64(log(Float64((cos(Float64(Float64(phi1 - phi2) * 0.5)) ^ 2.0) - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2)))))) * Float64(cos(phi2) * cos(phi1))))) * 0.5))))) 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))), exp((log(((cos(((phi1 - phi2) * 0.5)) ^ 2.0) - ((0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2)))))) * (cos(phi2) * cos(phi1))))) * 0.5)))); 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[Exp[N[(N[Log[N[(N[Power[N[Cos[N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $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] * 0.5), $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}}{e^{\log \left({\cos \left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right)}^{2} - \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) \cdot 0.5}}\right)
\end{array}
Initial program 62.7%
Applied rewrites62.8%
lift-+.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-cos-a-revN/A
pow2N/A
lower-pow.f64N/A
lower-cos.f6462.8
lift-*.f64N/A
*-commutativeN/A
lower-*.f6462.8
Applied rewrites62.8%
(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)))
(exp
(*
(log1p
(-
(*
(fma (cos (* -1.0 (- lambda1 lambda2))) 0.5 -0.5)
(* (cos phi2) (cos phi1)))
(- 0.5 (* (cos (* -1.0 (- phi1 phi2))) 0.5))))
0.5)))))))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))), exp((log1p(((fma(cos((-1.0 * (lambda1 - lambda2))), 0.5, -0.5) * (cos(phi2) * cos(phi1))) - (0.5 - (cos((-1.0 * (phi1 - phi2))) * 0.5)))) * 0.5))));
}
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))), exp(Float64(log1p(Float64(Float64(fma(cos(Float64(-1.0 * Float64(lambda1 - lambda2))), 0.5, -0.5) * Float64(cos(phi2) * cos(phi1))) - Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(phi1 - phi2))) * 0.5)))) * 0.5))))) 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[Exp[N[(N[Log[1 + N[(N[(N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5 + -0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 - N[(N[Cos[N[(-1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $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}}{e^{\mathsf{log1p}\left(\mathsf{fma}\left(\cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right), 0.5, -0.5\right) \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right) - \left(0.5 - \cos \left(-1 \cdot \left(\phi_1 - \phi_2\right)\right) \cdot 0.5\right)\right) \cdot 0.5}}\right)
\end{array}
Initial program 62.7%
Applied rewrites62.8%
Applied rewrites62.8%
(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 62.7%
Applied rewrites62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(* 2.0 (* R (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), pow(sin((0.5 * (phi1 - phi2))), 2.0));
return 2.0 * (R * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) return Float64(2.0 * Float64(R * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(2.0 * N[(R * 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 {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
Initial program 62.7%
Taylor expanded in R around 0
lower-*.f64N/A
Applied rewrites62.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -1.0 (- phi1 phi2))))
(t_1 (* (- 0.5 (* (cos (* -1.0 (- lambda1 lambda2))) 0.5)) (cos phi2)))
(t_2 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1)))
(if (<= phi2 -0.018)
(*
(*
(atan2
(sqrt (+ t_1 (- 0.5 (* t_0 0.5))))
(sqrt (- (fma t_0 0.5 0.5) t_1)))
2.0)
R)
(if (<= phi2 48000.0)
(*
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
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))))))))
(* 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 = cos((-1.0 * (phi1 - phi2)));
double t_1 = (0.5 - (cos((-1.0 * (lambda1 - lambda2))) * 0.5)) * cos(phi2);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1;
double tmp;
if (phi2 <= -0.018) {
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 if (phi2 <= 48000.0) {
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((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))), cos(phi1), (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))))))));
} 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 = cos(Float64(-1.0 * Float64(phi1 - phi2))) t_1 = Float64(Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(lambda1 - lambda2))) * 0.5)) * cos(phi2)) t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1) tmp = 0.0 if (phi2 <= -0.018) 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); elseif (phi2 <= 48000.0) 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(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))), cos(phi1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * phi1))))))))))); 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[Cos[N[(-1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[phi2, -0.018], 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], If[LessEqual[phi2, 48000.0], 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[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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], 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 := \cos \left(-1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \left(0.5 - \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1\\
\mathbf{if}\;\phi_2 \leq -0.018:\\
\;\;\;\;\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{elif}\;\phi_2 \leq 48000:\\
\;\;\;\;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(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\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}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
if phi2 < -0.0179999999999999986Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Applied rewrites46.3%
if -0.0179999999999999986 < phi2 < 48000Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6447.5
Applied rewrites47.5%
if 48000 < phi2 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Applied rewrites49.0%
Applied rewrites48.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -1.0 (- phi1 phi2))))
(t_1 (* (- 0.5 (* (cos (* -1.0 (- lambda1 lambda2))) 0.5)) (cos phi2)))
(t_2
(*
(*
(atan2
(sqrt (+ t_1 (- 0.5 (* t_0 0.5))))
(sqrt (- (fma t_0 0.5 0.5) t_1)))
2.0)
R)))
(if (<= phi2 -0.018)
t_2
(if (<= phi2 48000.0)
(*
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
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 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 = cos((-1.0 * (phi1 - phi2)));
double t_1 = (0.5 - (cos((-1.0 * (lambda1 - lambda2))) * 0.5)) * cos(phi2);
double t_2 = (atan2(sqrt((t_1 + (0.5 - (t_0 * 0.5)))), sqrt((fma(t_0, 0.5, 0.5) - t_1))) * 2.0) * R;
double tmp;
if (phi2 <= -0.018) {
tmp = t_2;
} else if (phi2 <= 48000.0) {
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((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 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 = cos(Float64(-1.0 * Float64(phi1 - phi2))) t_1 = Float64(Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(lambda1 - lambda2))) * 0.5)) * cos(phi2)) t_2 = 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) tmp = 0.0 if (phi2 <= -0.018) tmp = t_2; elseif (phi2 <= 48000.0) 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(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 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[Cos[N[(-1.0 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 - N[(N[Cos[N[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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]}, If[LessEqual[phi2, -0.018], t$95$2, If[LessEqual[phi2, 48000.0], 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[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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 := \cos \left(-1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \left(0.5 - \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot 0.5\right) \cdot \cos \phi_2\\
t_2 := \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{if}\;\phi_2 \leq -0.018:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 48000:\\
\;\;\;\;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(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\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 < -0.0179999999999999986 or 48000 < phi2 Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Applied rewrites46.3%
if -0.0179999999999999986 < phi2 < 48000Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6447.5
Applied rewrites47.5%
(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 (* -1.0 (- lambda1 lambda2))))
(t_3 (- t_0 (* (fma t_2 0.5 -0.5) (cos phi1))))
(t_4 (- 0.5 (* t_2 0.5)))
(t_5 (* t_4 (cos phi2)))
(t_6 (fma t_4 (cos phi1) t_0)))
(if (<= phi1 -1.7e+14)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 2.85e-5)
(*
(*
(atan2
(sqrt (+ t_5 (- 0.5 (* t_1 0.5))))
(sqrt (- (fma t_1 0.5 0.5) t_5)))
2.0)
R)
(* (* (atan2 (sqrt t_6) (sqrt (- 1.0 t_6))) 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((-1.0 * (lambda1 - lambda2)));
double t_3 = t_0 - (fma(t_2, 0.5, -0.5) * cos(phi1));
double t_4 = 0.5 - (t_2 * 0.5);
double t_5 = t_4 * cos(phi2);
double t_6 = fma(t_4, cos(phi1), t_0);
double tmp;
if (phi1 <= -1.7e+14) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 2.85e-5) {
tmp = (atan2(sqrt((t_5 + (0.5 - (t_1 * 0.5)))), sqrt((fma(t_1, 0.5, 0.5) - t_5))) * 2.0) * R;
} else {
tmp = (atan2(sqrt(t_6), sqrt((1.0 - t_6))) * 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(-1.0 * Float64(lambda1 - lambda2))) t_3 = Float64(t_0 - Float64(fma(t_2, 0.5, -0.5) * cos(phi1))) t_4 = Float64(0.5 - Float64(t_2 * 0.5)) t_5 = Float64(t_4 * cos(phi2)) t_6 = fma(t_4, cos(phi1), t_0) tmp = 0.0 if (phi1 <= -1.7e+14) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 2.85e-5) tmp = Float64(Float64(atan(sqrt(Float64(t_5 + Float64(0.5 - Float64(t_1 * 0.5)))), sqrt(Float64(fma(t_1, 0.5, 0.5) - t_5))) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(t_6), sqrt(Float64(1.0 - t_6))) * 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[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $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[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]}, If[LessEqual[phi1, -1.7e+14], 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, 2.85e-5], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$5 + 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$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $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(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_3 := t\_0 - \mathsf{fma}\left(t\_2, 0.5, -0.5\right) \cdot \cos \phi_1\\
t_4 := 0.5 - t\_2 \cdot 0.5\\
t_5 := t\_4 \cdot \cos \phi_2\\
t_6 := \mathsf{fma}\left(t\_4, \cos \phi_1, t\_0\right)\\
\mathbf{if}\;\phi_1 \leq -1.7 \cdot 10^{+14}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 2.85 \cdot 10^{-5}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_5 + \left(0.5 - t\_1 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_1, 0.5, 0.5\right) - t\_5}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}} \cdot 2\right) \cdot R\\
\end{array}
if phi1 < -1.7e14Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6444.5
Applied rewrites44.5%
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6444.4
Applied rewrites44.4%
Applied rewrites40.5%
Applied rewrites43.5%
if -1.7e14 < phi1 < 2.8500000000000002e-5Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Applied rewrites46.3%
if 2.8500000000000002e-5 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6444.5
Applied rewrites44.5%
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6444.4
Applied rewrites44.4%
Applied rewrites43.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -1.0 (- phi1 phi2))))
(t_1 (cos (* -1.0 (- lambda1 lambda2))))
(t_2 (* (- 0.5 (* t_1 0.5)) (cos phi2)))
(t_3
(-
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 phi1)))))
(* (fma t_1 0.5 -0.5) (cos phi1))))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= phi1 -1.7e+14)
t_4
(if (<= phi1 2.85e-5)
(*
(*
(atan2
(sqrt (+ t_2 (- 0.5 (* t_0 0.5))))
(sqrt (- (fma t_0 0.5 0.5) t_2)))
2.0)
R)
t_4))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((-1.0 * (phi1 - phi2)));
double t_1 = cos((-1.0 * (lambda1 - lambda2)));
double t_2 = (0.5 - (t_1 * 0.5)) * cos(phi2);
double t_3 = (0.5 - (0.5 * cos((2.0 * (0.5 * phi1))))) - (fma(t_1, 0.5, -0.5) * cos(phi1));
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (phi1 <= -1.7e+14) {
tmp = t_4;
} else if (phi1 <= 2.85e-5) {
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 = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(-1.0 * Float64(phi1 - phi2))) t_1 = cos(Float64(-1.0 * Float64(lambda1 - lambda2))) t_2 = Float64(Float64(0.5 - Float64(t_1 * 0.5)) * cos(phi2)) t_3 = 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))) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (phi1 <= -1.7e+14) tmp = t_4; elseif (phi1 <= 2.85e-5) 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 = t_4; 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[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 - N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = 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]}, Block[{t$95$4 = 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, -1.7e+14], t$95$4, If[LessEqual[phi1, 2.85e-5], 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], t$95$4]]]]]]]
\begin{array}{l}
t_0 := \cos \left(-1 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \cos \left(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \left(0.5 - t\_1 \cdot 0.5\right) \cdot \cos \phi_2\\
t_3 := \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\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.7 \cdot 10^{+14}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_1 \leq 2.85 \cdot 10^{-5}:\\
\;\;\;\;\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}:\\
\;\;\;\;t\_4\\
\end{array}
if phi1 < -1.7e14 or 2.8500000000000002e-5 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6444.5
Applied rewrites44.5%
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6444.4
Applied rewrites44.4%
Applied rewrites40.5%
Applied rewrites43.5%
if -1.7e14 < phi1 < 2.8500000000000002e-5Initial program 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Applied rewrites46.3%
(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 (* -1.0 (- lambda1 lambda2))) 0.5)) (cos phi2))))
(if (<= (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))) 2e-17)
(*
(*
(atan2
(sqrt
(fma
(cos phi2)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1))))))
2.0)
R)
(*
(*
(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((-1.0 * (lambda1 - lambda2))) * 0.5)) * cos(phi2);
double tmp;
if ((2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))) <= 2e-17) {
tmp = (atan2(sqrt(fma(cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * cos(phi1)))))) * 2.0) * R;
} 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(-1.0 * Float64(lambda1 - lambda2))) * 0.5)) * cos(phi2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2)))) <= 2e-17) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * cos(phi1)))))) * 2.0) * R); 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[(-1.0 * N[(lambda1 - lambda2), $MachinePrecision]), $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], 2e-17], N[(N[(N[ArcTan[N[Sqrt[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]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $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(-1 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot 0.5\right) \cdot \cos \phi_2\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 2 \cdot 10^{-17}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\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)}}{\sqrt{1 - \mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \cos \phi_1\right)}} \cdot 2\right) \cdot R\\
\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))))))))) < 2.00000000000000014e-17Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Taylor expanded in phi1 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-*.f6423.4
Applied rewrites23.4%
if 2.00000000000000014e-17 < (*.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 62.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites61.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites63.0%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
sub-flipN/A
div-addN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
metadata-evalN/A
metadata-evalN/A
frac-2neg-revN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
mult-flipN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites77.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites63.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites61.1%
Applied rewrites46.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1))))
(t_2 (sqrt t_1))
(t_3 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0))))
(if (<= phi1 -1.15)
(* (* (atan2 t_2 (sqrt (- 1.0 t_3))) 2.0) R)
(if (<= phi1 1.3e-30)
(* (* (atan2 (sqrt t_3) (sqrt (- 1.0 t_1))) 2.0) R)
(*
(*
(atan2
t_2
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * cos(phi1)));
double t_2 = sqrt(t_1);
double t_3 = fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0));
double tmp;
if (phi1 <= -1.15) {
tmp = (atan2(t_2, sqrt((1.0 - t_3))) * 2.0) * R;
} else if (phi1 <= 1.3e-30) {
tmp = (atan2(sqrt(t_3), sqrt((1.0 - t_1))) * 2.0) * R;
} else {
tmp = (atan2(t_2, sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * cos(phi1))) t_2 = sqrt(t_1) t_3 = fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0)) tmp = 0.0 if (phi1 <= -1.15) tmp = Float64(Float64(atan(t_2, sqrt(Float64(1.0 - t_3))) * 2.0) * R); elseif (phi1 <= 1.3e-30) tmp = Float64(Float64(atan(sqrt(t_3), sqrt(Float64(1.0 - t_1))) * 2.0) * R); else tmp = Float64(Float64(atan(t_2, sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.15], N[(N[(N[ArcTan[t$95$2 / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi1, 1.3e-30], N[(N[(N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[t$95$2 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \cos \phi_1\right)\\
t_2 := \sqrt{t\_1}\\
t_3 := \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -1.15:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_2}{\sqrt{1 - t\_3}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_1 \leq 1.3 \cdot 10^{-30}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_1}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_2}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\end{array}
if phi1 < -1.1499999999999999Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Taylor expanded in phi1 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-*.f6429.6
Applied rewrites29.6%
if -1.1499999999999999 < phi1 < 1.29999999999999993e-30Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Taylor expanded in phi1 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-*.f6423.4
Applied rewrites23.4%
if 1.29999999999999993e-30 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
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-*.f6429.4
Applied rewrites29.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1))))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2
(*
(*
(atan2
(sqrt t_0)
(sqrt (- 1.0 (fma (cos phi1) t_1 (pow (sin (* 0.5 phi1)) 2.0)))))
2.0)
R)))
(if (<= phi1 -1.46)
t_2
(if (<= phi1 1.3e-30)
(*
(*
(atan2
(sqrt (fma (cos phi2) t_1 (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_0)))
2.0)
R)
t_2))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * cos(phi1)));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = (atan2(sqrt(t_0), sqrt((1.0 - fma(cos(phi1), t_1, pow(sin((0.5 * phi1)), 2.0))))) * 2.0) * R;
double tmp;
if (phi1 <= -1.46) {
tmp = t_2;
} else if (phi1 <= 1.3e-30) {
tmp = (atan2(sqrt(fma(cos(phi2), t_1, pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_0))) * 2.0) * R;
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * cos(phi1))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - fma(cos(phi1), t_1, (sin(Float64(0.5 * phi1)) ^ 2.0))))) * 2.0) * R) tmp = 0.0 if (phi1 <= -1.46) tmp = t_2; elseif (phi1 <= 1.3e-30) tmp = Float64(Float64(atan(sqrt(fma(cos(phi2), t_1, (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_0))) * 2.0) * R); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $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[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -1.46], t$95$2, If[LessEqual[phi1, 1.3e-30], N[(N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$1 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \cos \phi_1\right)\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -1.46:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 1.3 \cdot 10^{-30}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_1, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
if phi1 < -1.46 or 1.29999999999999993e-30 < phi1 Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
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-*.f6429.4
Applied rewrites29.4%
if -1.46 < phi1 < 1.29999999999999993e-30Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Taylor expanded in phi1 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-*.f6423.4
Applied rewrites23.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (* 0.5 phi1) 2.0)))
(pow
(-
1.0
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1))))
0.5)))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(cos(phi1), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow((0.5 * phi1), 2.0))), pow((1.0 - fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * cos(phi1)))), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (Float64(0.5 * phi1) ^ 2.0))), (Float64(1.0 - fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * cos(phi1)))) ^ 0.5)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := 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[(0.5 * phi1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Power[N[(1.0 - N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
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}, {\left(0.5 \cdot \phi_1\right)}^{2}\right)}}{{\left(1 - \mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \cos \phi_1\right)\right)}^{0.5}}\right)
Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites27.7%
(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)
(pow (* 0.5 phi1) 2.0)))
(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))))
(if (<= (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))) 0.166)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(*
(*
(atan2
(sqrt
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1))))
(pow
(-
1.0
(fma
(- 0.5 (* (cos (* -1.0 (- lambda1 lambda2))) 0.5))
(cos phi1)
(* (* 0.5 phi1) (* 0.5 phi1))))
0.5))
2.0)
R))))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), pow((0.5 * phi1), 2.0));
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 tmp;
if ((2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))) <= 0.166) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = (atan2(sqrt(fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * cos(phi1)))), pow((1.0 - fma((0.5 - (cos((-1.0 * (lambda1 - lambda2))) * 0.5)), cos(phi1), ((0.5 * phi1) * (0.5 * phi1)))), 0.5)) * 2.0) * R;
}
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(0.5 * phi1) ^ 2.0)) 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)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2)))) <= 0.166) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(Float64(atan(sqrt(fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * cos(phi1)))), (Float64(1.0 - fma(Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(lambda1 - lambda2))) * 0.5)), cos(phi1), Float64(Float64(0.5 * phi1) * Float64(0.5 * phi1)))) ^ 0.5)) * 2.0) * R); 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[Power[N[(0.5 * phi1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[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]}, 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], 0.166], 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[(N[(N[ArcTan[N[Sqrt[N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $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[(0.5 * phi1), $MachinePrecision] * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $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}, {\left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.166:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \cos \phi_1\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(0.5 \cdot \phi_1\right) \cdot \left(0.5 \cdot \phi_1\right)\right)\right)}^{0.5}} \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))))))))) < 0.166000000000000009Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
lower-pow.f6422.4
Applied rewrites22.4%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
lower-pow.f6422.4
Applied rewrites22.4%
if 0.166000000000000009 < (*.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 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Applied rewrites25.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(*
(atan2
(sqrt
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(cos phi1))))
(pow
(-
1.0
(fma
(- 0.5 (* (cos (* -1.0 (- lambda1 lambda2))) 0.5))
(cos phi1)
(* (* 0.5 phi1) (* 0.5 phi1))))
0.5))
2.0)
R))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (atan2(sqrt(fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * cos(phi1)))), pow((1.0 - fma((0.5 - (cos((-1.0 * (lambda1 - lambda2))) * 0.5)), cos(phi1), ((0.5 * phi1) * (0.5 * phi1)))), 0.5)) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(atan(sqrt(fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * cos(phi1)))), (Float64(1.0 - fma(Float64(0.5 - Float64(cos(Float64(-1.0 * Float64(lambda1 - lambda2))) * 0.5)), cos(phi1), Float64(Float64(0.5 * phi1) * Float64(0.5 * phi1)))) ^ 0.5)) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(N[ArcTan[N[Sqrt[N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $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[(0.5 * phi1), $MachinePrecision] * N[(0.5 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]
\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \cos \phi_1\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(0.5 \cdot \phi_1\right) \cdot \left(0.5 \cdot \phi_1\right)\right)\right)}^{0.5}} \cdot 2\right) \cdot R
Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Applied rewrites25.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(* phi1 0.5)
(* phi1 0.5)
(*
(- 0.5 (* 0.5 (cos (* 2.0 (* (- lambda1 lambda2) 0.5)))))
(+ 1.0 (* -0.5 (pow phi1 2.0)))))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) 2.0) R)))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((phi1 * 0.5), (phi1 * 0.5), ((0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) * 0.5))))) * (1.0 + (-0.5 * pow(phi1, 2.0)))));
return (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(phi1 * 0.5), Float64(phi1 * 0.5), Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) * 0.5))))) * Float64(1.0 + Float64(-0.5 * (phi1 ^ 2.0))))) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 * 0.5), $MachinePrecision] * N[(phi1 * 0.5), $MachinePrecision] + N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(-0.5 * N[Power[phi1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(\phi_1 \cdot 0.5, \phi_1 \cdot 0.5, \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\right)\right) \cdot \left(1 + -0.5 \cdot {\phi_1}^{2}\right)\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot 2\right) \cdot R
\end{array}
Initial program 62.7%
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-*.f6447.3
Applied rewrites47.3%
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-*.f6447.5
Applied rewrites47.5%
Taylor expanded in phi1 around 0
lower-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f6422.4
Applied rewrites22.4%
Applied rewrites19.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
lower-pow.f6419.7
Applied rewrites19.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
lower-pow.f6419.7
Applied rewrites19.7%
herbie shell --seed 2025173
(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))))))))))