
(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))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 19 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))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ phi1 2.0)))
(t_1 (- 0.0 (/ phi2 2.0)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi1) (cos phi2)) t_2)))
(t_4 (cos (/ phi1 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_3
(pow (fma (sin (/ phi2 -2.0)) t_4 (* t_0 (cos (/ phi2 2.0)))) 2.0)))
(sqrt
(- 1.0 (+ t_3 (pow (fma t_0 (cos t_1) (* t_4 (sin t_1))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 / 2.0));
double t_1 = 0.0 - (phi2 / 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi1) * cos(phi2)) * t_2);
double t_4 = cos((phi1 / 2.0));
return R * (2.0 * atan2(sqrt((t_3 + pow(fma(sin((phi2 / -2.0)), t_4, (t_0 * cos((phi2 / 2.0)))), 2.0))), sqrt((1.0 - (t_3 + pow(fma(t_0, cos(t_1), (t_4 * sin(t_1))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 / 2.0)) t_1 = Float64(0.0 - Float64(phi2 / 2.0)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) t_4 = cos(Float64(phi1 / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + (fma(sin(Float64(phi2 / -2.0)), t_4, Float64(t_0 * cos(Float64(phi2 / 2.0)))) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_3 + (fma(t_0, cos(t_1), Float64(t_4 * sin(t_1))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.0 - N[(phi2 / 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[Power[N[(N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$4 + N[(t$95$0 * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 + N[Power[N[(t$95$0 * N[Cos[t$95$1], $MachinePrecision] + N[(t$95$4 * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_1}{2}\right)\\
t_1 := 0 - \frac{\phi_2}{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)\\
t_4 := \cos \left(\frac{\phi_1}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{-2}\right), t\_4, t\_0 \cdot \cos \left(\frac{\phi_2}{2}\right)\right)\right)}^{2}}}{\sqrt{1 - \left(t\_3 + {\left(\mathsf{fma}\left(t\_0, \cos t\_1, t\_4 \cdot \sin t\_1\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6461.7%
Applied egg-rr61.7%
div-subN/A
sub-negN/A
sin-sumN/A
+-commutativeN/A
*-commutativeN/A
distribute-neg-frac2N/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
cos-negN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr80.2%
Final simplification80.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow
(fma
(sin (/ phi2 -2.0))
(cos (/ phi1 2.0))
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0))))
2.0))))
(* 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 = (t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(fma(sin((phi2 / -2.0)), cos((phi1 / 2.0)), (sin((phi1 / 2.0)) * cos((phi2 / 2.0)))), 2.0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (fma(sin(Float64(phi2 / -2.0)), cos(Float64(phi1 / 2.0)), Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{-2}\right), \cos \left(\frac{\phi_1}{2}\right), \sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right)\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6461.7%
Applied egg-rr61.7%
div-subN/A
sub-negN/A
sin-sumN/A
+-commutativeN/A
*-commutativeN/A
distribute-neg-frac2N/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
cos-negN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr80.2%
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
distribute-neg-frac2N/A
metadata-evalN/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/A
cos-lowering-cos.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
Final simplification80.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (/ phi1 2.0)))
(t_1 (sin (/ phi1 2.0)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi1) (cos phi2)) t_2)))
(t_4 (cos (/ phi2 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (pow (- (* t_1 t_4) (* t_0 (sin (/ phi2 2.0)))) 2.0)))
(sqrt
(-
1.0
(+ t_3 (pow (fma t_1 t_4 (* (sin (/ phi2 -2.0)) t_0)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 / 2.0));
double t_1 = sin((phi1 / 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi1) * cos(phi2)) * t_2);
double t_4 = cos((phi2 / 2.0));
return R * (2.0 * atan2(sqrt((t_3 + pow(((t_1 * t_4) - (t_0 * sin((phi2 / 2.0)))), 2.0))), sqrt((1.0 - (t_3 + pow(fma(t_1, t_4, (sin((phi2 / -2.0)) * t_0)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 / 2.0)) t_1 = sin(Float64(phi1 / 2.0)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) t_4 = cos(Float64(phi2 / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + (Float64(Float64(t_1 * t_4) - Float64(t_0 * sin(Float64(phi2 / 2.0)))) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_3 + (fma(t_1, t_4, Float64(sin(Float64(phi2 / -2.0)) * t_0)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[Power[N[(N[(t$95$1 * t$95$4), $MachinePrecision] - N[(t$95$0 * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 + N[Power[N[(t$95$1 * t$95$4 + N[(N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\frac{\phi_1}{2}\right)\\
t_1 := \sin \left(\frac{\phi_1}{2}\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)\\
t_4 := \cos \left(\frac{\phi_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\left(t\_1 \cdot t\_4 - t\_0 \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}}}{\sqrt{1 - \left(t\_3 + {\left(\mathsf{fma}\left(t\_1, t\_4, \sin \left(\frac{\phi_2}{-2}\right) \cdot t\_0\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6461.5%
Applied egg-rr61.5%
div-subN/A
sub-negN/A
sin-sumN/A
distribute-neg-frac2N/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
metadata-evalN/A
div-invN/A
distribute-neg-frac2N/A
cos-negN/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-neg-frac2N/A
div-invN/A
metadata-evalN/A
Applied egg-rr80.1%
Final simplification80.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(+
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5)))
(* (sin (* phi1 0.5)) (cos (* phi2 0.5))))
2.0))
(t_1
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))
(* (atan2 (sqrt (+ t_0 t_1)) (sqrt (- (- 1.0 t_1) t_0))) (* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))), 2.0);
double t_1 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
return atan2(sqrt((t_0 + t_1)), sqrt(((1.0 - t_1) - t_0))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = ((cos((phi1 * 0.5d0)) * sin((phi2 * (-0.5d0)))) + (sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0)))) ** 2.0d0
t_1 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
code = atan2(sqrt((t_0 + t_1)), sqrt(((1.0d0 - t_1) - t_0))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi1 * 0.5)) * Math.sin((phi2 * -0.5))) + (Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5)))), 2.0);
double t_1 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
return Math.atan2(Math.sqrt((t_0 + t_1)), Math.sqrt(((1.0 - t_1) - t_0))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi1 * 0.5)) * math.sin((phi2 * -0.5))) + (math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5)))), 2.0) t_1 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) return math.atan2(math.sqrt((t_0 + t_1)), math.sqrt(((1.0 - t_1) - t_0))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5))) + Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5)))) ^ 2.0 t_1 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) return Float64(atan(sqrt(Float64(t_0 + t_1)), sqrt(Float64(Float64(1.0 - t_1) - t_0))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))) ^ 2.0; t_1 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); tmp = atan2(sqrt((t_0 + t_1)), sqrt(((1.0 - t_1) - t_0))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right) + \sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_1 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
\tan^{-1}_* \frac{\sqrt{t\_0 + t\_1}}{\sqrt{\left(1 - t\_1\right) - t\_0}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6461.7%
Applied egg-rr61.7%
div-subN/A
sub-negN/A
sin-sumN/A
+-commutativeN/A
*-commutativeN/A
distribute-neg-frac2N/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
cos-negN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr80.2%
Taylor expanded in lambda1 around -inf
Simplified80.1%
Final simplification80.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(+
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5)))
(* (sin (* phi1 0.5)) (cos (* phi2 0.5))))
2.0)
(*
(* (cos phi1) (cos phi2))
(pow (sin (* (- lambda1 lambda2) 0.5)) 2.0)))))
(* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) (* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))), 2.0) + ((cos(phi1) * cos(phi2)) * pow(sin(((lambda1 - lambda2) * 0.5)), 2.0));
return atan2(sqrt(t_0), sqrt((1.0 - t_0))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = (((cos((phi1 * 0.5d0)) * sin((phi2 * (-0.5d0)))) + (sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0)))) ** 2.0d0) + ((cos(phi1) * cos(phi2)) * (sin(((lambda1 - lambda2) * 0.5d0)) ** 2.0d0))
code = atan2(sqrt(t_0), sqrt((1.0d0 - t_0))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi1 * 0.5)) * Math.sin((phi2 * -0.5))) + (Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5)))), 2.0) + ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin(((lambda1 - lambda2) * 0.5)), 2.0));
return Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi1 * 0.5)) * math.sin((phi2 * -0.5))) + (math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5)))), 2.0) + ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin(((lambda1 - lambda2) * 0.5)), 2.0)) return math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((Float64(Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5))) + Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5)))) ^ 2.0) + Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(Float64(lambda1 - lambda2) * 0.5)) ^ 2.0))) return Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))) ^ 2.0) + ((cos(phi1) * cos(phi2)) * (sin(((lambda1 - lambda2) * 0.5)) ^ 2.0)); tmp = atan2(sqrt(t_0), sqrt((1.0 - t_0))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right) + \sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right)\right)}^{2} + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)}^{2}\\
\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6461.7%
Applied egg-rr61.7%
div-subN/A
sub-negN/A
sin-sumN/A
+-commutativeN/A
*-commutativeN/A
distribute-neg-frac2N/A
div-invN/A
metadata-evalN/A
metadata-evalN/A
cos-negN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr80.2%
Taylor expanded in R around 0
Simplified80.1%
Final simplification80.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))
(*
(atan2
(sqrt (+ t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(-
(- 1.0 t_0)
(pow
(+
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5)))
(* (sin (* phi1 0.5)) (cos (* phi2 0.5))))
2.0))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
return atan2(sqrt((t_0 + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt(((1.0 - t_0) - pow(((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))), 2.0)))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
code = atan2(sqrt((t_0 + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt(((1.0d0 - t_0) - (((cos((phi1 * 0.5d0)) * sin((phi2 * (-0.5d0)))) + (sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0)))) ** 2.0d0)))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
return Math.atan2(Math.sqrt((t_0 + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt(((1.0 - t_0) - Math.pow(((Math.cos((phi1 * 0.5)) * Math.sin((phi2 * -0.5))) + (Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5)))), 2.0)))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) return math.atan2(math.sqrt((t_0 + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt(((1.0 - t_0) - math.pow(((math.cos((phi1 * 0.5)) * math.sin((phi2 * -0.5))) + (math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5)))), 2.0)))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) return Float64(atan(sqrt(Float64(t_0 + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(Float64(1.0 - t_0) - (Float64(Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5))) + Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5)))) ^ 2.0)))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); tmp = atan2(sqrt((t_0 + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt(((1.0 - t_0) - (((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))) ^ 2.0)))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$0 + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$0), $MachinePrecision] - N[Power[N[(N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
\tan^{-1}_* \frac{\sqrt{t\_0 + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{\left(1 - t\_0\right) - {\left(\cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right) + \sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right)\right)}^{2}}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6461.7%
Applied egg-rr61.7%
Taylor expanded in lambda1 around -inf
Simplified61.7%
Final simplification61.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(* (cos phi2) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))))
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(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))))))
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(((t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)) + Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) - (Math.cos(phi1) * (Math.cos(phi2) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)) + math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) - (math.cos(phi1) * (math.cos(phi2) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))))))
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(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))))); 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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6461.5%
Applied egg-rr61.5%
associate--r+N/A
unpow2N/A
1-sub-sinN/A
sqr-cos-aN/A
--lowering--.f64N/A
Applied egg-rr61.6%
Final simplification61.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(* (cos phi2) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))))
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(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))))))
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(((t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) - (Math.cos(phi1) * (Math.cos(phi2) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) - (math.cos(phi1) * (math.cos(phi2) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))))))
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(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))))); 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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 60.6%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6461.7%
Applied egg-rr61.7%
Applied egg-rr60.6%
Final simplification60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(t_1 (/ (- phi1 phi2) 2.0)))
(*
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (cos phi1) (* (cos phi2) (- 0.5 t_0)))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- t_0 0.5))))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_1 = (phi1 - phi2) / 2.0;
return atan2(sqrt((pow(sin(t_1), 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - t_0))))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5)))))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = 0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))
t_1 = (phi1 - phi2) / 2.0d0
code = atan2(sqrt(((sin(t_1) ** 2.0d0) + (cos(phi1) * (cos(phi2) * (0.5d0 - t_0))))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5d0)))))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_1 = (phi1 - phi2) / 2.0;
return Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (Math.cos(phi1) * (Math.cos(phi2) * (0.5 - t_0))))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_1)))) + (Math.cos(phi1) * (Math.cos(phi2) * (t_0 - 0.5)))))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))) t_1 = (phi1 - phi2) / 2.0 return math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (math.cos(phi1) * (math.cos(phi2) * (0.5 - t_0))))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_1)))) + (math.cos(phi1) * (math.cos(phi2) * (t_0 - 0.5)))))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - t_0))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_1)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5)))))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))); t_1 = (phi1 - phi2) / 2.0; tmp = atan2(sqrt(((sin(t_1) ^ 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - t_0))))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5)))))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
\tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - t\_0\right)\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 60.6%
Applied egg-rr53.4%
sqr-sin-aN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6456.0%
Applied egg-rr56.0%
Final simplification56.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* (cos phi1) 0.5)))
(t_1
(+
0.5
(*
-0.5
(+
(* (sin lambda1) (sin lambda2))
(* (cos lambda1) (cos lambda2))))))
(t_2 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(if (<= phi1 -0.87)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- t_1 0.5))))
(sqrt (- t_0 (* (cos phi1) t_2)))))
(if (<= phi1 3.7e-14)
(*
(* R 2.0)
(atan2
(sqrt
(+
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))
(sqrt
(+
(- 0.5 (* (* phi1 -0.5) (sin phi2)))
(* (cos phi2) (- 0.5 t_2))))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- t_2 0.5))))
(sqrt (- t_0 (* (cos phi1) t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (cos(phi1) * 0.5);
double t_1 = 0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))));
double t_2 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double tmp;
if (phi1 <= -0.87) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_1 - 0.5)))), sqrt((t_0 - (cos(phi1) * t_2))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 - ((phi1 * -0.5) * sin(phi2))) + (cos(phi2) * (0.5 - t_2)))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_2 - 0.5)))), sqrt((t_0 - (cos(phi1) * t_1))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = 0.5d0 + (cos(phi1) * 0.5d0)
t_1 = 0.5d0 + ((-0.5d0) * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))))
t_2 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
if (phi1 <= (-0.87d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (t_1 - 0.5d0)))), sqrt((t_0 - (cos(phi1) * t_2))))
else if (phi1 <= 3.7d-14) then
tmp = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))) + (0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))))), sqrt(((0.5d0 - ((phi1 * (-0.5d0)) * sin(phi2))) + (cos(phi2) * (0.5d0 - t_2)))))
else
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (t_2 - 0.5d0)))), sqrt((t_0 - (cos(phi1) * t_1))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (Math.cos(phi1) * 0.5);
double t_1 = 0.5 + (-0.5 * ((Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda1) * Math.cos(lambda2))));
double t_2 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double tmp;
if (phi1 <= -0.87) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (t_1 - 0.5)))), Math.sqrt((t_0 - (Math.cos(phi1) * t_2))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), Math.sqrt(((0.5 - ((phi1 * -0.5) * Math.sin(phi2))) + (Math.cos(phi2) * (0.5 - t_2)))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (t_2 - 0.5)))), Math.sqrt((t_0 - (Math.cos(phi1) * t_1))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (math.cos(phi1) * 0.5) t_1 = 0.5 + (-0.5 * ((math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda1) * math.cos(lambda2)))) t_2 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) tmp = 0 if phi1 <= -0.87: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (t_1 - 0.5)))), math.sqrt((t_0 - (math.cos(phi1) * t_2)))) elif phi1 <= 3.7e-14: tmp = (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), math.sqrt(((0.5 - ((phi1 * -0.5) * math.sin(phi2))) + (math.cos(phi2) * (0.5 - t_2))))) else: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (t_2 - 0.5)))), math.sqrt((t_0 - (math.cos(phi1) * t_1)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(cos(phi1) * 0.5)) t_1 = Float64(0.5 + Float64(-0.5 * Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda1) * cos(lambda2))))) t_2 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) tmp = 0.0 if (phi1 <= -0.87) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(t_1 - 0.5)))), sqrt(Float64(t_0 - Float64(cos(phi1) * t_2))))); elseif (phi1 <= 3.7e-14) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))) + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))), sqrt(Float64(Float64(0.5 - Float64(Float64(phi1 * -0.5) * sin(phi2))) + Float64(cos(phi2) * Float64(0.5 - t_2)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(t_2 - 0.5)))), sqrt(Float64(t_0 - Float64(cos(phi1) * t_1))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (cos(phi1) * 0.5); t_1 = 0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2)))); t_2 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); tmp = 0.0; if (phi1 <= -0.87) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_1 - 0.5)))), sqrt((t_0 - (cos(phi1) * t_2)))); elseif (phi1 <= 3.7e-14) tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 - ((phi1 * -0.5) * sin(phi2))) + (cos(phi2) * (0.5 - t_2))))); else tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_2 - 0.5)))), sqrt((t_0 - (cos(phi1) * t_1)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(-0.5 * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.87], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.7e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 - N[(N[(phi1 * -0.5), $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \cos \phi_1 \cdot 0.5\\
t_1 := 0.5 + -0.5 \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_1 \cdot \cos \lambda_2\right)\\
t_2 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_1 \leq -0.87:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(t\_1 - 0.5\right)}}{\sqrt{t\_0 - \cos \phi_1 \cdot t\_2}}\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}{\sqrt{\left(0.5 - \left(\phi_1 \cdot -0.5\right) \cdot \sin \phi_2\right) + \cos \phi_2 \cdot \left(0.5 - t\_2\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(t\_2 - 0.5\right)}}{\sqrt{t\_0 - \cos \phi_1 \cdot t\_1}}\\
\end{array}
\end{array}
if phi1 < -0.869999999999999996Initial program 48.3%
Applied egg-rr48.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6449.9%
Simplified49.9%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6450.3%
Simplified50.3%
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6450.6%
Applied egg-rr50.6%
if -0.869999999999999996 < phi1 < 3.70000000000000001e-14Initial program 79.1%
Applied egg-rr64.0%
Taylor expanded in phi1 around 0
sub-negN/A
associate-+r+N/A
associate-+l+N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified64.0%
if 3.70000000000000001e-14 < phi1 Initial program 39.0%
Applied egg-rr39.1%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.5%
Simplified39.5%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Simplified41.7%
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6442.0%
Applied egg-rr42.0%
Final simplification54.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- t_0 0.5))))
(sqrt
(-
(+ 0.5 (* (cos phi1) 0.5))
(*
(cos phi1)
(+
0.5
(*
-0.5
(+
(* (sin lambda1) (sin lambda2))
(* (cos lambda1) (cos lambda2))))))))))))
(if (<= phi1 -0.87)
t_1
(if (<= phi1 3.7e-14)
(*
(* R 2.0)
(atan2
(sqrt
(+
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))
(sqrt
(+
(- 0.5 (* (* phi1 -0.5) (sin phi2)))
(* (cos phi2) (- 0.5 t_0))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double t_1 = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_0 - 0.5)))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * (0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2)))))))));
double tmp;
if (phi1 <= -0.87) {
tmp = t_1;
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 - ((phi1 * -0.5) * sin(phi2))) + (cos(phi2) * (0.5 - t_0)))));
} else {
tmp = t_1;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (t_0 - 0.5d0)))), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * (0.5d0 + ((-0.5d0) * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2)))))))))
if (phi1 <= (-0.87d0)) then
tmp = t_1
else if (phi1 <= 3.7d-14) then
tmp = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))) + (0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))))), sqrt(((0.5d0 - ((phi1 * (-0.5d0)) * sin(phi2))) + (cos(phi2) * (0.5d0 - t_0)))))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_1 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (t_0 - 0.5)))), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * (0.5 + (-0.5 * ((Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda1) * Math.cos(lambda2)))))))));
double tmp;
if (phi1 <= -0.87) {
tmp = t_1;
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), Math.sqrt(((0.5 - ((phi1 * -0.5) * Math.sin(phi2))) + (Math.cos(phi2) * (0.5 - t_0)))));
} else {
tmp = t_1;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (t_0 - 0.5)))), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * (0.5 + (-0.5 * ((math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda1) * math.cos(lambda2))))))))) tmp = 0 if phi1 <= -0.87: tmp = t_1 elif phi1 <= 3.7e-14: tmp = (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), math.sqrt(((0.5 - ((phi1 * -0.5) * math.sin(phi2))) + (math.cos(phi2) * (0.5 - t_0))))) else: tmp = t_1 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(t_0 - 0.5)))), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda1) * cos(lambda2)))))))))) tmp = 0.0 if (phi1 <= -0.87) tmp = t_1; elseif (phi1 <= 3.7e-14) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))) + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))), sqrt(Float64(Float64(0.5 - Float64(Float64(phi1 * -0.5) * sin(phi2))) + Float64(cos(phi2) * Float64(0.5 - t_0)))))); else tmp = t_1; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_1 = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_0 - 0.5)))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * (0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))))))))); tmp = 0.0; if (phi1 <= -0.87) tmp = t_1; elseif (phi1 <= 3.7e-14) tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 - ((phi1 * -0.5) * sin(phi2))) + (cos(phi2) * (0.5 - t_0))))); else tmp = t_1; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.87], t$95$1, If[LessEqual[phi1, 3.7e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 - N[(N[(phi1 * -0.5), $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(t\_0 - 0.5\right)}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_1 \cdot \cos \lambda_2\right)\right)}}\\
\mathbf{if}\;\phi_1 \leq -0.87:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}{\sqrt{\left(0.5 - \left(\phi_1 \cdot -0.5\right) \cdot \sin \phi_2\right) + \cos \phi_2 \cdot \left(0.5 - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -0.869999999999999996 or 3.70000000000000001e-14 < phi1 Initial program 43.9%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.0%
Simplified45.0%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6446.2%
Simplified46.2%
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6446.5%
Applied egg-rr46.5%
if -0.869999999999999996 < phi1 < 3.70000000000000001e-14Initial program 79.1%
Applied egg-rr64.0%
Taylor expanded in phi1 around 0
sub-negN/A
associate-+r+N/A
associate-+l+N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified64.0%
Final simplification54.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1
(*
(* (cos phi1) (cos phi2))
(+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (+ t_1 (* -0.5 t_0))))
(sqrt (+ 0.5 (- (* 0.5 t_0) t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = (cos(phi1) * cos(phi2)) * (0.5 + (-0.5 * cos((lambda1 - lambda2))));
return (R * 2.0) * atan2(sqrt((0.5 + (t_1 + (-0.5 * t_0)))), sqrt((0.5 + ((0.5 * t_0) - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = cos((phi1 - phi2))
t_1 = (cos(phi1) * cos(phi2)) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_1 + ((-0.5d0) * t_0)))), sqrt((0.5d0 + ((0.5d0 * t_0) - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((phi1 - phi2));
double t_1 = (Math.cos(phi1) * Math.cos(phi2)) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))));
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_1 + (-0.5 * t_0)))), Math.sqrt((0.5 + ((0.5 * t_0) - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((phi1 - phi2)) t_1 = (math.cos(phi1) * math.cos(phi2)) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))) return (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_1 + (-0.5 * t_0)))), math.sqrt((0.5 + ((0.5 * t_0) - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = Float64(Float64(cos(phi1) * cos(phi2)) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_1 + Float64(-0.5 * t_0)))), sqrt(Float64(0.5 + Float64(Float64(0.5 * t_0) - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((phi1 - phi2)); t_1 = (cos(phi1) * cos(phi2)) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))); tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_1 + (-0.5 * t_0)))), sqrt((0.5 + ((0.5 * t_0) - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$1 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(0.5 * t$95$0), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 + -0.5 \cdot t\_0\right)}}{\sqrt{0.5 + \left(0.5 \cdot t\_0 - t\_1\right)}}
\end{array}
\end{array}
Initial program 60.6%
Applied egg-rr53.4%
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
--lowering--.f6448.9%
Applied egg-rr48.9%
Taylor expanded in phi1 around 0
Simplified53.4%
Final simplification53.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* -0.5 t_0))
(t_2 (+ 0.5 t_1))
(t_3 (- 0.5 t_2)))
(if (<= phi1 -0.87)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* (cos phi1) t_3)))))
(if (<= phi1 3.7e-14)
(*
(* R 2.0)
(atan2
(sqrt
(+
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))
(sqrt (+ (- 0.5 (* (* phi1 -0.5) (sin phi2))) (* (cos phi2) t_3)))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ 0.5 (+ -0.5 t_1)))))
(sqrt (- (+ 0.5 (* (cos phi1) 0.5)) (* (cos phi1) t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = -0.5 * t_0;
double t_2 = 0.5 + t_1;
double t_3 = 0.5 - t_2;
double tmp;
if (phi1 <= -0.87) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * t_3))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 - ((phi1 * -0.5) * sin(phi2))) + (cos(phi2) * t_3))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (0.5 + (-0.5 + t_1))))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_2))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = (-0.5d0) * t_0
t_2 = 0.5d0 + t_1
t_3 = 0.5d0 - t_2
if (phi1 <= (-0.87d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_0 * (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (cos(phi1) * t_3))))
else if (phi1 <= 3.7d-14) then
tmp = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))) + (0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))))), sqrt(((0.5d0 - ((phi1 * (-0.5d0)) * sin(phi2))) + (cos(phi2) * t_3))))
else
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (0.5d0 + ((-0.5d0) + t_1))))), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * t_2))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = -0.5 * t_0;
double t_2 = 0.5 + t_1;
double t_3 = 0.5 - t_2;
double tmp;
if (phi1 <= -0.87) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_0 * (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (Math.cos(phi1) * t_3))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), Math.sqrt(((0.5 - ((phi1 * -0.5) * Math.sin(phi2))) + (Math.cos(phi2) * t_3))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 + (-0.5 + t_1))))), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * t_2))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = -0.5 * t_0 t_2 = 0.5 + t_1 t_3 = 0.5 - t_2 tmp = 0 if phi1 <= -0.87: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_0 * (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (math.cos(phi1) * t_3)))) elif phi1 <= 3.7e-14: tmp = (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), math.sqrt(((0.5 - ((phi1 * -0.5) * math.sin(phi2))) + (math.cos(phi2) * t_3)))) else: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (0.5 + (-0.5 + t_1))))), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * t_2)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(-0.5 * t_0) t_2 = Float64(0.5 + t_1) t_3 = Float64(0.5 - t_2) tmp = 0.0 if (phi1 <= -0.87) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * t_3))))); elseif (phi1 <= 3.7e-14) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))) + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))), sqrt(Float64(Float64(0.5 - Float64(Float64(phi1 * -0.5) * sin(phi2))) + Float64(cos(phi2) * t_3))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 + t_1))))), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * t_2))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = -0.5 * t_0; t_2 = 0.5 + t_1; t_3 = 0.5 - t_2; tmp = 0.0; if (phi1 <= -0.87) tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * t_3)))); elseif (phi1 <= 3.7e-14) tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 - ((phi1 * -0.5) * sin(phi2))) + (cos(phi2) * t_3)))); else tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (0.5 + (-0.5 + t_1))))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_2)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - t$95$2), $MachinePrecision]}, If[LessEqual[phi1, -0.87], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.7e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 - N[(N[(phi1 * -0.5), $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := -0.5 \cdot t\_0\\
t_2 := 0.5 + t\_1\\
t_3 := 0.5 - t\_2\\
\mathbf{if}\;\phi_1 \leq -0.87:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + t\_0 \cdot \left(\cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_3}}\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}{\sqrt{\left(0.5 - \left(\phi_1 \cdot -0.5\right) \cdot \sin \phi_2\right) + \cos \phi_2 \cdot t\_3}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 + \left(-0.5 + t\_1\right)\right)}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot t\_2}}\\
\end{array}
\end{array}
if phi1 < -0.869999999999999996Initial program 48.3%
Applied egg-rr48.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6449.9%
Simplified49.9%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6450.3%
Simplified50.3%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified50.4%
if -0.869999999999999996 < phi1 < 3.70000000000000001e-14Initial program 79.1%
Applied egg-rr64.0%
Taylor expanded in phi1 around 0
sub-negN/A
associate-+r+N/A
associate-+l+N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified64.0%
if 3.70000000000000001e-14 < phi1 Initial program 39.0%
Applied egg-rr39.1%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.5%
Simplified39.5%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Simplified41.7%
associate--l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Applied egg-rr41.7%
Final simplification54.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* -0.5 t_0))
(t_2 (+ 0.5 t_1))
(t_3 (- 0.5 t_2)))
(if (<= phi1 -0.87)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* (cos phi1) t_3)))))
(if (<= phi1 3.7e-14)
(*
(* R 2.0)
(atan2
(sqrt
(+
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))
(sqrt (+ 0.5 (* (cos phi2) t_3)))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ 0.5 (+ -0.5 t_1)))))
(sqrt (- (+ 0.5 (* (cos phi1) 0.5)) (* (cos phi1) t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = -0.5 * t_0;
double t_2 = 0.5 + t_1;
double t_3 = 0.5 - t_2;
double tmp;
if (phi1 <= -0.87) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * t_3))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt((0.5 + (cos(phi2) * t_3))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (0.5 + (-0.5 + t_1))))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_2))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = (-0.5d0) * t_0
t_2 = 0.5d0 + t_1
t_3 = 0.5d0 - t_2
if (phi1 <= (-0.87d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_0 * (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (cos(phi1) * t_3))))
else if (phi1 <= 3.7d-14) then
tmp = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))) + (0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))))), sqrt((0.5d0 + (cos(phi2) * t_3))))
else
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (0.5d0 + ((-0.5d0) + t_1))))), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * t_2))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = -0.5 * t_0;
double t_2 = 0.5 + t_1;
double t_3 = 0.5 - t_2;
double tmp;
if (phi1 <= -0.87) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_0 * (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (Math.cos(phi1) * t_3))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), Math.sqrt((0.5 + (Math.cos(phi2) * t_3))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 + (-0.5 + t_1))))), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * t_2))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = -0.5 * t_0 t_2 = 0.5 + t_1 t_3 = 0.5 - t_2 tmp = 0 if phi1 <= -0.87: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_0 * (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (math.cos(phi1) * t_3)))) elif phi1 <= 3.7e-14: tmp = (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), math.sqrt((0.5 + (math.cos(phi2) * t_3)))) else: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (0.5 + (-0.5 + t_1))))), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * t_2)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(-0.5 * t_0) t_2 = Float64(0.5 + t_1) t_3 = Float64(0.5 - t_2) tmp = 0.0 if (phi1 <= -0.87) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * t_3))))); elseif (phi1 <= 3.7e-14) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))) + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))), sqrt(Float64(0.5 + Float64(cos(phi2) * t_3))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 + t_1))))), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * t_2))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = -0.5 * t_0; t_2 = 0.5 + t_1; t_3 = 0.5 - t_2; tmp = 0.0; if (phi1 <= -0.87) tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * t_3)))); elseif (phi1 <= 3.7e-14) tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt((0.5 + (cos(phi2) * t_3)))); else tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (0.5 + (-0.5 + t_1))))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_2)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - t$95$2), $MachinePrecision]}, If[LessEqual[phi1, -0.87], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.7e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := -0.5 \cdot t\_0\\
t_2 := 0.5 + t\_1\\
t_3 := 0.5 - t\_2\\
\mathbf{if}\;\phi_1 \leq -0.87:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + t\_0 \cdot \left(\cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_3}}\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot t\_3}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 + \left(-0.5 + t\_1\right)\right)}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot t\_2}}\\
\end{array}
\end{array}
if phi1 < -0.869999999999999996Initial program 48.3%
Applied egg-rr48.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6449.9%
Simplified49.9%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6450.3%
Simplified50.3%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified50.4%
if -0.869999999999999996 < phi1 < 3.70000000000000001e-14Initial program 79.1%
Applied egg-rr64.0%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6464.0%
Simplified64.0%
if 3.70000000000000001e-14 < phi1 Initial program 39.0%
Applied egg-rr39.1%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.5%
Simplified39.5%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Simplified41.7%
associate--l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Applied egg-rr41.7%
Final simplification54.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (* -0.5 t_0)) (t_2 (+ 0.5 t_1)))
(if (<= phi1 -1.5e-38)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_2))))))
(if (<= phi1 3.7e-14)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi2) (- t_2 0.5))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))) 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ 0.5 (+ -0.5 t_1)))))
(sqrt (- (+ 0.5 (* (cos phi1) 0.5)) (* (cos phi1) t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = -0.5 * t_0;
double t_2 = 0.5 + t_1;
double tmp;
if (phi1 <= -1.5e-38) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - t_2)))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_2 - 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (0.5 + (-0.5 + t_1))))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_2))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = (-0.5d0) * t_0
t_2 = 0.5d0 + t_1
if (phi1 <= (-1.5d-38)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_0 * (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_2)))))
else if (phi1 <= 3.7d-14) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi2) * (t_2 - 0.5d0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))) - 0.5d0))))))
else
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (0.5d0 + ((-0.5d0) + t_1))))), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * t_2))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = -0.5 * t_0;
double t_2 = 0.5 + t_1;
double tmp;
if (phi1 <= -1.5e-38) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_0 * (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - t_2)))));
} else if (phi1 <= 3.7e-14) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi2) * (t_2 - 0.5)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 + (-0.5 + t_1))))), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * t_2))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = -0.5 * t_0 t_2 = 0.5 + t_1 tmp = 0 if phi1 <= -1.5e-38: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_0 * (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - t_2))))) elif phi1 <= 3.7e-14: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi2) * (t_2 - 0.5)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5)))))) else: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (0.5 + (-0.5 + t_1))))), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * t_2)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(-0.5 * t_0) t_2 = Float64(0.5 + t_1) tmp = 0.0 if (phi1 <= -1.5e-38) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_2)))))); elseif (phi1 <= 3.7e-14) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(t_2 - 0.5)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) - 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 + t_1))))), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * t_2))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = -0.5 * t_0; t_2 = 0.5 + t_1; tmp = 0.0; if (phi1 <= -1.5e-38) tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - t_2))))); elseif (phi1 <= 3.7e-14) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_2 - 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5)))))); else tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (0.5 + (-0.5 + t_1))))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_2)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + t$95$1), $MachinePrecision]}, If[LessEqual[phi1, -1.5e-38], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.7e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := -0.5 \cdot t\_0\\
t_2 := 0.5 + t\_1\\
\mathbf{if}\;\phi_1 \leq -1.5 \cdot 10^{-38}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + t\_0 \cdot \left(\cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_2\right)}}\\
\mathbf{elif}\;\phi_1 \leq 3.7 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_2 \cdot \left(t\_2 - 0.5\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right) - 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 + \left(-0.5 + t\_1\right)\right)}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot t\_2}}\\
\end{array}
\end{array}
if phi1 < -1.49999999999999994e-38Initial program 48.5%
Applied egg-rr47.6%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6448.8%
Simplified48.8%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6449.1%
Simplified49.1%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified49.1%
if -1.49999999999999994e-38 < phi1 < 3.70000000000000001e-14Initial program 80.7%
Applied egg-rr65.3%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6465.3%
Simplified65.3%
if 3.70000000000000001e-14 < phi1 Initial program 39.0%
Applied egg-rr39.1%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.5%
Simplified39.5%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Simplified41.7%
associate--l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.7%
Applied egg-rr41.7%
Final simplification54.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (* (cos phi1) 0.5)))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- (+ 0.5 (* -0.5 t_0)) 0.5))))
(sqrt (- (- (+ 0.5 t_1) t_1) (* -0.5 (* (cos phi1) t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi1) * 0.5;
return (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), sqrt((((0.5 + t_1) - t_1) - (-0.5 * (cos(phi1) * t_0)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = cos((lambda1 - lambda2))
t_1 = cos(phi1) * 0.5d0
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * ((0.5d0 + ((-0.5d0) * t_0)) - 0.5d0)))), sqrt((((0.5d0 + t_1) - t_1) - ((-0.5d0) * (cos(phi1) * t_0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.cos(phi1) * 0.5;
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), Math.sqrt((((0.5 + t_1) - t_1) - (-0.5 * (Math.cos(phi1) * t_0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.cos(phi1) * 0.5 return (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), math.sqrt((((0.5 + t_1) - t_1) - (-0.5 * (math.cos(phi1) * t_0)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi1) * 0.5) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(Float64(0.5 + Float64(-0.5 * t_0)) - 0.5)))), sqrt(Float64(Float64(Float64(0.5 + t_1) - t_1) - Float64(-0.5 * Float64(cos(phi1) * t_0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = cos(phi1) * 0.5; tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), sqrt((((0.5 + t_1) - t_1) - (-0.5 * (cos(phi1) * t_0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 + t$95$1), $MachinePrecision] - t$95$1), $MachinePrecision] - N[(-0.5 * N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_1 \cdot 0.5\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(\left(0.5 + -0.5 \cdot t\_0\right) - 0.5\right)}}{\sqrt{\left(\left(0.5 + t\_1\right) - t\_1\right) - -0.5 \cdot \left(\cos \phi_1 \cdot t\_0\right)}}
\end{array}
\end{array}
Initial program 60.6%
Applied egg-rr53.4%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.6%
Simplified39.6%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6440.0%
Simplified40.0%
distribute-rgt-inN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6440.0%
Applied egg-rr40.0%
Final simplification40.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- t_0 0.5))))
(sqrt (fma (cos phi1) (- 0.5 t_0) 0.5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
return (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_0 - 0.5)))), sqrt(fma(cos(phi1), (0.5 - t_0), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(t_0 - 0.5)))), sqrt(fma(cos(phi1), Float64(0.5 - t_0), 0.5)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(t\_0 - 0.5\right)}}{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - t\_0, 0.5\right)}}
\end{array}
\end{array}
Initial program 60.6%
Applied egg-rr53.4%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.6%
Simplified39.6%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6440.0%
Simplified40.0%
associate--l+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-out--N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6440.0%
Applied egg-rr40.0%
Final simplification40.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = cos((lambda1 - lambda2))
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_0 * (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - (0.5d0 + ((-0.5d0) * t_0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_0 * (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) return (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_0 * (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + t\_0 \cdot \left(\cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}
\end{array}
\end{array}
Initial program 60.6%
Applied egg-rr53.4%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.6%
Simplified39.6%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6440.0%
Simplified40.0%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified40.0%
Final simplification40.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- (+ 0.5 (* -0.5 t_0)) 0.5))))
(sqrt (+ 0.5 (* 0.5 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), sqrt((0.5 + (0.5 * t_0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
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 = cos((lambda1 - lambda2))
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * ((0.5d0 + ((-0.5d0) * t_0)) - 0.5d0)))), sqrt((0.5d0 + (0.5d0 * t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), Math.sqrt((0.5 + (0.5 * t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) return (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), math.sqrt((0.5 + (0.5 * t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(Float64(0.5 + Float64(-0.5 * t_0)) - 0.5)))), sqrt(Float64(0.5 + Float64(0.5 * t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * ((0.5 + (-0.5 * t_0)) - 0.5)))), sqrt((0.5 + (0.5 * t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(\left(0.5 + -0.5 \cdot t\_0\right) - 0.5\right)}}{\sqrt{0.5 + 0.5 \cdot t\_0}}
\end{array}
\end{array}
Initial program 60.6%
Applied egg-rr53.4%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6439.6%
Simplified39.6%
Taylor expanded in phi2 around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6440.0%
Simplified40.0%
Taylor expanded in phi1 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6427.3%
Simplified27.3%
Final simplification27.3%
herbie shell --seed 2024192
(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))))))))))