
(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 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
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 (/ phi2 2.0)))
(t_1 (cos (/ phi1 2.0)))
(t_2 (* (cos (/ phi2 2.0)) (sin (/ phi1 2.0))))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (fma (- 0.0 t_0) t_1 t_2) 2.0) t_4))
(sqrt (- 1.0 (+ t_4 (pow (- t_2 (* t_0 t_1)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 / 2.0));
double t_1 = cos((phi1 / 2.0));
double t_2 = cos((phi2 / 2.0)) * sin((phi1 / 2.0));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
return R * (2.0 * atan2(sqrt((pow(fma((0.0 - t_0), t_1, t_2), 2.0) + t_4)), sqrt((1.0 - (t_4 + pow((t_2 - (t_0 * t_1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 / 2.0)) t_1 = cos(Float64(phi1 / 2.0)) t_2 = Float64(cos(Float64(phi2 / 2.0)) * sin(Float64(phi1 / 2.0))) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(Float64(0.0 - t_0), t_1, t_2) ^ 2.0) + t_4)), sqrt(Float64(1.0 - Float64(t_4 + (Float64(t_2 - Float64(t_0 * t_1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(0.0 - t$95$0), $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 + N[Power[N[(t$95$2 - N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_2}{2}\right)\\
t_1 := \cos \left(\frac{\phi_1}{2}\right)\\
t_2 := \cos \left(\frac{\phi_2}{2}\right) \cdot \sin \left(\frac{\phi_1}{2}\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(0 - t\_0, t\_1, t\_2\right)\right)}^{2} + t\_4}}{\sqrt{1 - \left(t\_4 + {\left(t\_2 - t\_0 \cdot t\_1\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
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-/.f6462.3%
Applied egg-rr62.3%
div-subN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
Applied egg-rr78.3%
Final simplification78.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0)
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 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((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0) + ((cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 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((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0) + ((cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 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((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0) + ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0));
return Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) + ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)) return math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 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((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0) + ((cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 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[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 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[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $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_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2} + \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}}{\sqrt{1 - t\_0}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 61.2%
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-/.f6462.3%
Applied egg-rr62.3%
div-subN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
Applied egg-rr78.3%
+-commutativeN/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
*-commutativeN/A
neg-sub0N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr78.2%
Taylor expanded in lambda1 around -inf
Simplified78.2%
Final simplification78.2%
(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))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(+
t_1
(pow
(-
(* (cos (/ phi2 2.0)) (sin (/ phi1 2.0)))
(* (sin (/ phi2 2.0)) (cos (/ phi1 2.0))))
2.0)))))))))
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);
return R * (2.0 * atan2(sqrt((t_1 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (t_1 + pow(((cos((phi2 / 2.0)) * sin((phi1 / 2.0))) - (sin((phi2 / 2.0)) * cos((phi1 / 2.0)))), 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 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0)
code = r * (2.0d0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (t_1 + (((cos((phi2 / 2.0d0)) * sin((phi1 / 2.0d0))) - (sin((phi2 / 2.0d0)) * cos((phi1 / 2.0d0)))) ** 2.0d0))))))
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 = t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - (t_1 + Math.pow(((Math.cos((phi2 / 2.0)) * Math.sin((phi1 / 2.0))) - (Math.sin((phi2 / 2.0)) * Math.cos((phi1 / 2.0)))), 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0) return R * (2.0 * math.atan2(math.sqrt((t_1 + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - (t_1 + math.pow(((math.cos((phi2 / 2.0)) * math.sin((phi1 / 2.0))) - (math.sin((phi2 / 2.0)) * math.cos((phi1 / 2.0)))), 2.0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_1 + (Float64(Float64(cos(Float64(phi2 / 2.0)) * sin(Float64(phi1 / 2.0))) - Float64(sin(Float64(phi2 / 2.0)) * cos(Float64(phi1 / 2.0)))) ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0); tmp = R * (2.0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (t_1 + (((cos((phi2 / 2.0)) * sin((phi1 / 2.0))) - (sin((phi2 / 2.0)) * cos((phi1 / 2.0)))) ^ 2.0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[Power[N[(N[(N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left(t\_1 + {\left(\cos \left(\frac{\phi_2}{2}\right) \cdot \sin \left(\frac{\phi_1}{2}\right) - \sin \left(\frac{\phi_2}{2}\right) \cdot \cos \left(\frac{\phi_1}{2}\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
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-/.f6462.3%
Applied egg-rr62.3%
Final simplification62.3%
(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
(-
1.0
(+
(pow
(-
(* (cos (/ phi2 2.0)) (sin (/ phi1 2.0)))
(* (sin (/ phi2 2.0)) (cos (/ phi1 2.0))))
2.0)
(/
(*
(+ (cos (+ phi2 phi1)) (cos (- phi1 phi2)))
(+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
2.0)))))))))
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((1.0 - (pow(((cos((phi2 / 2.0)) * sin((phi1 / 2.0))) - (sin((phi2 / 2.0)) * cos((phi1 / 2.0)))), 2.0) + (((cos((phi2 + phi1)) + cos((phi1 - phi2))) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))) / 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 = 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((1.0d0 - ((((cos((phi2 / 2.0d0)) * sin((phi1 / 2.0d0))) - (sin((phi2 / 2.0d0)) * cos((phi1 / 2.0d0)))) ** 2.0d0) + (((cos((phi2 + phi1)) + cos((phi1 - phi2))) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))) / 2.0d0))))))
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((1.0 - (Math.pow(((Math.cos((phi2 / 2.0)) * Math.sin((phi1 / 2.0))) - (Math.sin((phi2 / 2.0)) * Math.cos((phi1 / 2.0)))), 2.0) + (((Math.cos((phi2 + phi1)) + Math.cos((phi1 - phi2))) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))) / 2.0))))));
}
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((1.0 - (math.pow(((math.cos((phi2 / 2.0)) * math.sin((phi1 / 2.0))) - (math.sin((phi2 / 2.0)) * math.cos((phi1 / 2.0)))), 2.0) + (((math.cos((phi2 + phi1)) + math.cos((phi1 - phi2))) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))) / 2.0))))))
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(1.0 - Float64((Float64(Float64(cos(Float64(phi2 / 2.0)) * sin(Float64(phi1 / 2.0))) - Float64(sin(Float64(phi2 / 2.0)) * cos(Float64(phi1 / 2.0)))) ^ 2.0) + Float64(Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi1 - phi2))) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) / 2.0))))))) 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((1.0 - ((((cos((phi2 / 2.0)) * sin((phi1 / 2.0))) - (sin((phi2 / 2.0)) * cos((phi1 / 2.0)))) ^ 2.0) + (((cos((phi2 + phi1)) + cos((phi1 - phi2))) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))) / 2.0)))))); 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[(1.0 - N[(N[Power[N[(N[(N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
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{1 - \left({\left(\cos \left(\frac{\phi_2}{2}\right) \cdot \sin \left(\frac{\phi_1}{2}\right) - \sin \left(\frac{\phi_2}{2}\right) \cdot \cos \left(\frac{\phi_1}{2}\right)\right)}^{2} + \frac{\left(\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_1 - \phi_2\right)\right) \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
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-/.f6462.3%
Applied egg-rr62.3%
associate-*l*N/A
cos-multN/A
pow2N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr62.1%
Final simplification62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* t_0 t_1))
(pow
(fma
(sin (/ phi1 2.0))
(cos (/ phi2 2.0))
(* (sin (/ phi2 2.0)) (- 0.0 (cos (/ phi1 2.0)))))
2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(* t_0 (- (* 0.5 (cos (- lambda1 lambda2))) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(fma(sin((phi1 / 2.0)), cos((phi2 / 2.0)), (sin((phi2 / 2.0)) * (0.0 - cos((phi1 / 2.0))))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + (t_0 * ((0.5 * cos((lambda1 - lambda2))) - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (fma(sin(Float64(phi1 / 2.0)), cos(Float64(phi2 / 2.0)), Float64(sin(Float64(phi2 / 2.0)) * Float64(0.0 - cos(Float64(phi1 / 2.0))))) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + Float64(t_0 * Float64(Float64(0.5 * cos(Float64(lambda1 - lambda2))) - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $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[(t$95$0 * N[(N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_1}{2}\right), \cos \left(\frac{\phi_2}{2}\right), \sin \left(\frac{\phi_2}{2}\right) \cdot \left(0 - \cos \left(\frac{\phi_1}{2}\right)\right)\right)\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + t\_0 \cdot \left(0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right) - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
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-/.f6462.3%
Applied egg-rr62.3%
div-subN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
Applied egg-rr78.3%
+-commutativeN/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
*-commutativeN/A
neg-sub0N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr78.2%
Applied egg-rr62.0%
Final simplification62.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- phi1 phi2) 2.0))
(t_1 (+ 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(t_2 (sin t_0))
(t_3 (/ (- lambda1 lambda2) 2.0))
(t_4 (sin t_3)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_4 (* (* (cos phi1) (cos phi2)) t_4)) (pow t_2 2.0)))
(sqrt
(/
(+
(* 2.0 (- 1.0 (pow t_2 4.0)))
(*
t_1
(*
(+ (cos (+ phi2 phi1)) (cos (- phi1 phi2)))
(- (* 0.5 (cos (* 2.0 t_3))) 0.5))))
(* 2.0 t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = 1.0 + (0.5 - (0.5 * cos((2.0 * t_0))));
double t_2 = sin(t_0);
double t_3 = (lambda1 - lambda2) / 2.0;
double t_4 = sin(t_3);
return R * (2.0 * atan2(sqrt(((t_4 * ((cos(phi1) * cos(phi2)) * t_4)) + pow(t_2, 2.0))), sqrt((((2.0 * (1.0 - pow(t_2, 4.0))) + (t_1 * ((cos((phi2 + phi1)) + cos((phi1 - phi2))) * ((0.5 * cos((2.0 * t_3))) - 0.5)))) / (2.0 * 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
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
t_0 = (phi1 - phi2) / 2.0d0
t_1 = 1.0d0 + (0.5d0 - (0.5d0 * cos((2.0d0 * t_0))))
t_2 = sin(t_0)
t_3 = (lambda1 - lambda2) / 2.0d0
t_4 = sin(t_3)
code = r * (2.0d0 * atan2(sqrt(((t_4 * ((cos(phi1) * cos(phi2)) * t_4)) + (t_2 ** 2.0d0))), sqrt((((2.0d0 * (1.0d0 - (t_2 ** 4.0d0))) + (t_1 * ((cos((phi2 + phi1)) + cos((phi1 - phi2))) * ((0.5d0 * cos((2.0d0 * t_3))) - 0.5d0)))) / (2.0d0 * t_1)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = 1.0 + (0.5 - (0.5 * Math.cos((2.0 * t_0))));
double t_2 = Math.sin(t_0);
double t_3 = (lambda1 - lambda2) / 2.0;
double t_4 = Math.sin(t_3);
return R * (2.0 * Math.atan2(Math.sqrt(((t_4 * ((Math.cos(phi1) * Math.cos(phi2)) * t_4)) + Math.pow(t_2, 2.0))), Math.sqrt((((2.0 * (1.0 - Math.pow(t_2, 4.0))) + (t_1 * ((Math.cos((phi2 + phi1)) + Math.cos((phi1 - phi2))) * ((0.5 * Math.cos((2.0 * t_3))) - 0.5)))) / (2.0 * t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (phi1 - phi2) / 2.0 t_1 = 1.0 + (0.5 - (0.5 * math.cos((2.0 * t_0)))) t_2 = math.sin(t_0) t_3 = (lambda1 - lambda2) / 2.0 t_4 = math.sin(t_3) return R * (2.0 * math.atan2(math.sqrt(((t_4 * ((math.cos(phi1) * math.cos(phi2)) * t_4)) + math.pow(t_2, 2.0))), math.sqrt((((2.0 * (1.0 - math.pow(t_2, 4.0))) + (t_1 * ((math.cos((phi2 + phi1)) + math.cos((phi1 - phi2))) * ((0.5 * math.cos((2.0 * t_3))) - 0.5)))) / (2.0 * t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(phi1 - phi2) / 2.0) t_1 = Float64(1.0 + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))) t_2 = sin(t_0) t_3 = Float64(Float64(lambda1 - lambda2) / 2.0) t_4 = sin(t_3) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_4 * Float64(Float64(cos(phi1) * cos(phi2)) * t_4)) + (t_2 ^ 2.0))), sqrt(Float64(Float64(Float64(2.0 * Float64(1.0 - (t_2 ^ 4.0))) + Float64(t_1 * Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi1 - phi2))) * Float64(Float64(0.5 * cos(Float64(2.0 * t_3))) - 0.5)))) / Float64(2.0 * t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (phi1 - phi2) / 2.0; t_1 = 1.0 + (0.5 - (0.5 * cos((2.0 * t_0)))); t_2 = sin(t_0); t_3 = (lambda1 - lambda2) / 2.0; t_4 = sin(t_3); tmp = R * (2.0 * atan2(sqrt(((t_4 * ((cos(phi1) * cos(phi2)) * t_4)) + (t_2 ^ 2.0))), sqrt((((2.0 * (1.0 - (t_2 ^ 4.0))) + (t_1 * ((cos((phi2 + phi1)) + cos((phi1 - phi2))) * ((0.5 * cos((2.0 * t_3))) - 0.5)))) / (2.0 * t_1))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[Sin[t$95$3], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$4 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision] + N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(2.0 * N[(1.0 - N[Power[t$95$2, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\phi_1 - \phi_2}{2}\\
t_1 := 1 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)\\
t_2 := \sin t\_0\\
t_3 := \frac{\lambda_1 - \lambda_2}{2}\\
t_4 := \sin t\_3\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) + {t\_2}^{2}}}{\sqrt{\frac{2 \cdot \left(1 - {t\_2}^{4}\right) + t\_1 \cdot \left(\left(\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_1 - \phi_2\right)\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_3\right) - 0.5\right)\right)}{2 \cdot t\_1}}}\right)
\end{array}
\end{array}
Initial program 61.2%
Applied egg-rr61.9%
Final simplification61.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))
(t_3 (/ (- lambda1 lambda2) 2.0))
(t_4 (sin t_3))
(t_5 (* 0.5 (cos (* 2.0 t_3))))
(t_6 (/ (- phi1 phi2) 2.0))
(t_7 (* 0.5 (cos (* 2.0 t_6)))))
(if (<= t_4 -5e-10)
(*
(* R 2.0)
(atan2
(sqrt (fma t_0 t_1 t_2))
(sqrt (+ (+ 0.5 t_7) (* (cos phi1) (* (cos phi2) (- t_5 0.5)))))))
(if (<= t_4 5e-62)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_4 (* t_1 t_4)) (pow (sin t_6) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt (+ (- 0.5 t_7) (* (cos phi1) (* (cos phi2) (- 0.5 t_5)))))
(sqrt (- 1.0 (+ t_2 (* t_1 t_0))))))))))
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 = cos(phi1) * cos(phi2);
double t_2 = 0.5 + (-0.5 * cos((phi1 - phi2)));
double t_3 = (lambda1 - lambda2) / 2.0;
double t_4 = sin(t_3);
double t_5 = 0.5 * cos((2.0 * t_3));
double t_6 = (phi1 - phi2) / 2.0;
double t_7 = 0.5 * cos((2.0 * t_6));
double tmp;
if (t_4 <= -5e-10) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, t_1, t_2)), sqrt(((0.5 + t_7) + (cos(phi1) * (cos(phi2) * (t_5 - 0.5))))));
} else if (t_4 <= 5e-62) {
tmp = R * (2.0 * atan2(sqrt(((t_4 * (t_1 * t_4)) + pow(sin(t_6), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(((0.5 - t_7) + (cos(phi1) * (cos(phi2) * (0.5 - t_5))))), sqrt((1.0 - (t_2 + (t_1 * t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))) t_3 = Float64(Float64(lambda1 - lambda2) / 2.0) t_4 = sin(t_3) t_5 = Float64(0.5 * cos(Float64(2.0 * t_3))) t_6 = Float64(Float64(phi1 - phi2) / 2.0) t_7 = Float64(0.5 * cos(Float64(2.0 * t_6))) tmp = 0.0 if (t_4 <= -5e-10) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, t_1, t_2)), sqrt(Float64(Float64(0.5 + t_7) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_5 - 0.5))))))); elseif (t_4 <= 5e-62) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_4 * Float64(t_1 * t_4)) + (sin(t_6) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(0.5 - t_7) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - t_5))))), sqrt(Float64(1.0 - Float64(t_2 + Float64(t_1 * t_0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[Sin[t$95$3], $MachinePrecision]}, Block[{t$95$5 = N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$7 = N[(0.5 * N[Cos[N[(2.0 * t$95$6), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, -5e-10], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$7), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$5 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 5e-62], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$4 * N[(t$95$1 * t$95$4), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$6], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$7), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := 0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
t_3 := \frac{\lambda_1 - \lambda_2}{2}\\
t_4 := \sin t\_3\\
t_5 := 0.5 \cdot \cos \left(2 \cdot t\_3\right)\\
t_6 := \frac{\phi_1 - \phi_2}{2}\\
t_7 := 0.5 \cdot \cos \left(2 \cdot t\_6\right)\\
\mathbf{if}\;t\_4 \leq -5 \cdot 10^{-10}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_1, t\_2\right)}}{\sqrt{\left(0.5 + t\_7\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_5 - 0.5\right)\right)}}\\
\mathbf{elif}\;t\_4 \leq 5 \cdot 10^{-62}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 \cdot \left(t\_1 \cdot t\_4\right) + {\sin t\_6}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_7\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - t\_5\right)\right)}}{\sqrt{1 - \left(t\_2 + t\_1 \cdot t\_0\right)}}\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -5.00000000000000031e-10Initial program 52.2%
Applied egg-rr52.2%
Applied egg-rr52.3%
if -5.00000000000000031e-10 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 5.0000000000000002e-62Initial program 77.4%
Taylor expanded in lambda2 around 0
associate--l+N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
Simplified77.4%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6477.4%
Simplified77.4%
if 5.0000000000000002e-62 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.7%
Applied egg-rr62.6%
Applied egg-rr62.7%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (- lambda1 lambda2))))
(t_4
(*
(* R 2.0)
(atan2
(sqrt (+ (* t_1 (- 0.5 t_3)) (+ 0.5 (* -0.5 t_0))))
(sqrt (+ (+ 0.5 (* 0.5 t_0)) (* t_1 (- t_3 0.5))))))))
(if (<= t_2 -5e-10)
t_4
(if (<= t_2 2e-17)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_2 (* t_1 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
t_4))))
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);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((lambda1 - lambda2));
double t_4 = (R * 2.0) * atan2(sqrt(((t_1 * (0.5 - t_3)) + (0.5 + (-0.5 * t_0)))), sqrt(((0.5 + (0.5 * t_0)) + (t_1 * (t_3 - 0.5)))));
double tmp;
if (t_2 <= -5e-10) {
tmp = t_4;
} else if (t_2 <= 2e-17) {
tmp = R * (2.0 * atan2(sqrt(((t_2 * (t_1 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_4;
}
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) :: t_4
real(8) :: tmp
t_0 = cos((phi1 - phi2))
t_1 = cos(phi1) * cos(phi2)
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = 0.5d0 * cos((lambda1 - lambda2))
t_4 = (r * 2.0d0) * atan2(sqrt(((t_1 * (0.5d0 - t_3)) + (0.5d0 + ((-0.5d0) * t_0)))), sqrt(((0.5d0 + (0.5d0 * t_0)) + (t_1 * (t_3 - 0.5d0)))))
if (t_2 <= (-5d-10)) then
tmp = t_4
else if (t_2 <= 2d-17) then
tmp = r * (2.0d0 * atan2(sqrt(((t_2 * (t_1 * t_2)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)))))
else
tmp = t_4
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((phi1 - phi2));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * Math.cos((lambda1 - lambda2));
double t_4 = (R * 2.0) * Math.atan2(Math.sqrt(((t_1 * (0.5 - t_3)) + (0.5 + (-0.5 * t_0)))), Math.sqrt(((0.5 + (0.5 * t_0)) + (t_1 * (t_3 - 0.5)))));
double tmp;
if (t_2 <= -5e-10) {
tmp = t_4;
} else if (t_2 <= 2e-17) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_2 * (t_1 * t_2)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_4;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((phi1 - phi2)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = 0.5 * math.cos((lambda1 - lambda2)) t_4 = (R * 2.0) * math.atan2(math.sqrt(((t_1 * (0.5 - t_3)) + (0.5 + (-0.5 * t_0)))), math.sqrt(((0.5 + (0.5 * t_0)) + (t_1 * (t_3 - 0.5))))) tmp = 0 if t_2 <= -5e-10: tmp = t_4 elif t_2 <= 2e-17: tmp = R * (2.0 * math.atan2(math.sqrt(((t_2 * (t_1 * t_2)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))))) else: tmp = t_4 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_4 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(t_1 * Float64(0.5 - t_3)) + Float64(0.5 + Float64(-0.5 * t_0)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * t_0)) + Float64(t_1 * Float64(t_3 - 0.5)))))) tmp = 0.0 if (t_2 <= -5e-10) tmp = t_4; elseif (t_2 <= 2e-17) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_2 * Float64(t_1 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = t_4; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((phi1 - phi2)); t_1 = cos(phi1) * cos(phi2); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = 0.5 * cos((lambda1 - lambda2)); t_4 = (R * 2.0) * atan2(sqrt(((t_1 * (0.5 - t_3)) + (0.5 + (-0.5 * t_0)))), sqrt(((0.5 + (0.5 * t_0)) + (t_1 * (t_3 - 0.5))))); tmp = 0.0; if (t_2 <= -5e-10) tmp = t_4; elseif (t_2 <= 2e-17) tmp = R * (2.0 * atan2(sqrt(((t_2 * (t_1 * t_2)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0))))); else tmp = t_4; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -5e-10], t$95$4, If[LessEqual[t$95$2, 2e-17], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_4 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(0.5 - t\_3\right) + \left(0.5 + -0.5 \cdot t\_0\right)}}{\sqrt{\left(0.5 + 0.5 \cdot t\_0\right) + t\_1 \cdot \left(t\_3 - 0.5\right)}}\\
\mathbf{if}\;t\_2 \leq -5 \cdot 10^{-10}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;t\_2 \leq 2 \cdot 10^{-17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_1 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -5.00000000000000031e-10 or 2.00000000000000014e-17 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 57.2%
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-/.f6458.6%
Applied egg-rr58.6%
div-subN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
Applied egg-rr72.8%
+-commutativeN/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
*-commutativeN/A
neg-sub0N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr72.8%
Applied egg-rr57.2%
if -5.00000000000000031e-10 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 2.00000000000000014e-17Initial program 76.2%
Taylor expanded in lambda2 around 0
associate--l+N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
Simplified76.2%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6476.2%
Simplified76.2%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- phi1 phi2) 2.0))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_2 (* (* (cos phi1) (cos phi2)) t_2)) (pow (sin t_0) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_0))))
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_1))) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
return R * (2.0 * atan2(sqrt(((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(sin(t_0), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_1))) - 0.5)))))));
}
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
t_0 = (phi1 - phi2) / 2.0d0
t_1 = (lambda1 - lambda2) / 2.0d0
t_2 = sin(t_1)
code = r * (2.0d0 * atan2(sqrt(((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + (sin(t_0) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_0)))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * t_1))) - 0.5d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = Math.sin(t_1);
return R * (2.0 * Math.atan2(Math.sqrt(((t_2 * ((Math.cos(phi1) * Math.cos(phi2)) * t_2)) + Math.pow(Math.sin(t_0), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_0)))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * t_1))) - 0.5)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (phi1 - phi2) / 2.0 t_1 = (lambda1 - lambda2) / 2.0 t_2 = math.sin(t_1) return R * (2.0 * math.atan2(math.sqrt(((t_2 * ((math.cos(phi1) * math.cos(phi2)) * t_2)) + math.pow(math.sin(t_0), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_0)))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * t_1))) - 0.5)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(phi1 - phi2) / 2.0) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (sin(t_0) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_0)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_1))) - 0.5)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (phi1 - phi2) / 2.0; t_1 = (lambda1 - lambda2) / 2.0; t_2 = sin(t_1); tmp = R * (2.0 * atan2(sqrt(((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + (sin(t_0) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_1))) - 0.5))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\phi_1 - \phi_2}{2}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\sin t\_0}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr61.2%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0))))))
(*
(atan2
(sqrt (+ (- 0.5 t_1) (* (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0)))))
(sqrt
(+
(+ 0.5 t_1)
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_0))) 0.5))))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
return atan2(sqrt(((0.5 - t_1) + (cos(phi1) * (cos(phi2) * pow(sin(t_0), 2.0))))), sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * 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 = (lambda1 - lambda2) / 2.0d0
t_1 = 0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))
code = atan2(sqrt(((0.5d0 - t_1) + (cos(phi1) * (cos(phi2) * (sin(t_0) ** 2.0d0))))), sqrt(((0.5d0 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * 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 = (lambda1 - lambda2) / 2.0;
double t_1 = 0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)));
return Math.atan2(Math.sqrt(((0.5 - t_1) + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin(t_0), 2.0))))), Math.sqrt(((0.5 + t_1) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (lambda1 - lambda2) / 2.0 t_1 = 0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))) return math.atan2(math.sqrt(((0.5 - t_1) + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin(t_0), 2.0))))), math.sqrt(((0.5 + t_1) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) return Float64(atan(sqrt(Float64(Float64(0.5 - t_1) + Float64(cos(phi1) * Float64(cos(phi2) * (sin(t_0) ^ 2.0))))), sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_0))) - 0.5)))))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (lambda1 - lambda2) / 2.0; t_1 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))); tmp = atan2(sqrt(((0.5 - t_1) + (cos(phi1) * (cos(phi2) * (sin(t_0) ^ 2.0))))), sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
\tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin t\_0}^{2}\right)}}{\sqrt{\left(0.5 + t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_0\right) - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 61.2%
Applied egg-rr56.6%
sqr-sin-aN/A
pow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6459.4%
Applied egg-rr59.4%
Final simplification59.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (sin t_0))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (/ (- phi1 phi2) 2.0))
(t_4 (cos (- lambda1 lambda2)))
(t_5 (* 0.5 t_4))
(t_6 (cos (- phi1 phi2)))
(t_7 (+ 0.5 (* -0.5 t_6))))
(if (<= (- lambda1 lambda2) -5e-6)
(*
(* R 2.0)
(atan2
(sqrt (+ (* t_2 (- 0.5 t_5)) t_7))
(sqrt (+ (+ 0.5 (* 0.5 t_6)) (* t_2 (- t_5 0.5))))))
(if (<= (- lambda1 lambda2) 1e-61)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_2 t_1)) (pow (sin t_3) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt
(+
(- 0.5 (* 0.5 (cos (* 2.0 t_3))))
(* (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))))
(sqrt (- 1.0 (+ t_7 (* t_2 (+ 0.5 (* -0.5 t_4))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = sin(t_0);
double t_2 = cos(phi1) * cos(phi2);
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = cos((lambda1 - lambda2));
double t_5 = 0.5 * t_4;
double t_6 = cos((phi1 - phi2));
double t_7 = 0.5 + (-0.5 * t_6);
double tmp;
if ((lambda1 - lambda2) <= -5e-6) {
tmp = (R * 2.0) * atan2(sqrt(((t_2 * (0.5 - t_5)) + t_7)), sqrt(((0.5 + (0.5 * t_6)) + (t_2 * (t_5 - 0.5)))));
} else if ((lambda1 - lambda2) <= 1e-61) {
tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_2 * t_1)) + pow(sin(t_3), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * t_3)))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_0)))))))), sqrt((1.0 - (t_7 + (t_2 * (0.5 + (-0.5 * t_4)))))));
}
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) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_0 = (lambda1 - lambda2) / 2.0d0
t_1 = sin(t_0)
t_2 = cos(phi1) * cos(phi2)
t_3 = (phi1 - phi2) / 2.0d0
t_4 = cos((lambda1 - lambda2))
t_5 = 0.5d0 * t_4
t_6 = cos((phi1 - phi2))
t_7 = 0.5d0 + ((-0.5d0) * t_6)
if ((lambda1 - lambda2) <= (-5d-6)) then
tmp = (r * 2.0d0) * atan2(sqrt(((t_2 * (0.5d0 - t_5)) + t_7)), sqrt(((0.5d0 + (0.5d0 * t_6)) + (t_2 * (t_5 - 0.5d0)))))
else if ((lambda1 - lambda2) <= 1d-61) then
tmp = r * (2.0d0 * atan2(sqrt(((t_1 * (t_2 * t_1)) + (sin(t_3) ** 2.0d0))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)))))
else
tmp = (r * 2.0d0) * atan2(sqrt(((0.5d0 - (0.5d0 * cos((2.0d0 * t_3)))) + (cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * t_0)))))))), sqrt((1.0d0 - (t_7 + (t_2 * (0.5d0 + ((-0.5d0) * t_4)))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = Math.sin(t_0);
double t_2 = Math.cos(phi1) * Math.cos(phi2);
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = Math.cos((lambda1 - lambda2));
double t_5 = 0.5 * t_4;
double t_6 = Math.cos((phi1 - phi2));
double t_7 = 0.5 + (-0.5 * t_6);
double tmp;
if ((lambda1 - lambda2) <= -5e-6) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((t_2 * (0.5 - t_5)) + t_7)), Math.sqrt(((0.5 + (0.5 * t_6)) + (t_2 * (t_5 - 0.5)))));
} else if ((lambda1 - lambda2) <= 1e-61) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_1 * (t_2 * t_1)) + Math.pow(Math.sin(t_3), 2.0))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((0.5 - (0.5 * Math.cos((2.0 * t_3)))) + (Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * t_0)))))))), Math.sqrt((1.0 - (t_7 + (t_2 * (0.5 + (-0.5 * t_4)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (lambda1 - lambda2) / 2.0 t_1 = math.sin(t_0) t_2 = math.cos(phi1) * math.cos(phi2) t_3 = (phi1 - phi2) / 2.0 t_4 = math.cos((lambda1 - lambda2)) t_5 = 0.5 * t_4 t_6 = math.cos((phi1 - phi2)) t_7 = 0.5 + (-0.5 * t_6) tmp = 0 if (lambda1 - lambda2) <= -5e-6: tmp = (R * 2.0) * math.atan2(math.sqrt(((t_2 * (0.5 - t_5)) + t_7)), math.sqrt(((0.5 + (0.5 * t_6)) + (t_2 * (t_5 - 0.5))))) elif (lambda1 - lambda2) <= 1e-61: tmp = R * (2.0 * math.atan2(math.sqrt(((t_1 * (t_2 * t_1)) + math.pow(math.sin(t_3), 2.0))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))))) else: tmp = (R * 2.0) * math.atan2(math.sqrt(((0.5 - (0.5 * math.cos((2.0 * t_3)))) + (math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * t_0)))))))), math.sqrt((1.0 - (t_7 + (t_2 * (0.5 + (-0.5 * t_4))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = sin(t_0) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = Float64(Float64(phi1 - phi2) / 2.0) t_4 = cos(Float64(lambda1 - lambda2)) t_5 = Float64(0.5 * t_4) t_6 = cos(Float64(phi1 - phi2)) t_7 = Float64(0.5 + Float64(-0.5 * t_6)) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -5e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(t_2 * Float64(0.5 - t_5)) + t_7)), sqrt(Float64(Float64(0.5 + Float64(0.5 * t_6)) + Float64(t_2 * Float64(t_5 - 0.5)))))); elseif (Float64(lambda1 - lambda2) <= 1e-61) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_2 * t_1)) + (sin(t_3) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_3)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))))), sqrt(Float64(1.0 - Float64(t_7 + Float64(t_2 * Float64(0.5 + Float64(-0.5 * t_4)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = (lambda1 - lambda2) / 2.0; t_1 = sin(t_0); t_2 = cos(phi1) * cos(phi2); t_3 = (phi1 - phi2) / 2.0; t_4 = cos((lambda1 - lambda2)); t_5 = 0.5 * t_4; t_6 = cos((phi1 - phi2)); t_7 = 0.5 + (-0.5 * t_6); tmp = 0.0; if ((lambda1 - lambda2) <= -5e-6) tmp = (R * 2.0) * atan2(sqrt(((t_2 * (0.5 - t_5)) + t_7)), sqrt(((0.5 + (0.5 * t_6)) + (t_2 * (t_5 - 0.5))))); elseif ((lambda1 - lambda2) <= 1e-61) tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_2 * t_1)) + (sin(t_3) ^ 2.0))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0))))); else tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * t_3)))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_0)))))))), sqrt((1.0 - (t_7 + (t_2 * (0.5 + (-0.5 * t_4))))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(0.5 * t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(0.5 + N[(-0.5 * t$95$6), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -5e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(0.5 - t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * t$95$6), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 * N[(t$95$5 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-61], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$7 + N[(t$95$2 * N[(0.5 + N[(-0.5 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := \sin t\_0\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
t_4 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_5 := 0.5 \cdot t\_4\\
t_6 := \cos \left(\phi_1 - \phi_2\right)\\
t_7 := 0.5 + -0.5 \cdot t\_6\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -5 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(0.5 - t\_5\right) + t\_7}}{\sqrt{\left(0.5 + 0.5 \cdot t\_6\right) + t\_2 \cdot \left(t\_5 - 0.5\right)}}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-61}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_2 \cdot t\_1\right) + {\sin t\_3}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)\right)}}{\sqrt{1 - \left(t\_7 + t\_2 \cdot \left(0.5 + -0.5 \cdot t\_4\right)\right)}}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -5.00000000000000041e-6Initial program 58.2%
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-/.f6460.2%
Applied egg-rr60.2%
div-subN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
Applied egg-rr74.7%
+-commutativeN/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
*-commutativeN/A
neg-sub0N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr74.6%
Applied egg-rr58.1%
if -5.00000000000000041e-6 < (-.f64 lambda1 lambda2) < 1e-61Initial program 76.1%
Taylor expanded in lambda2 around 0
associate--l+N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
Simplified76.1%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6476.1%
Simplified76.1%
if 1e-61 < (-.f64 lambda1 lambda2) Initial program 57.6%
Applied egg-rr57.7%
Applied egg-rr57.7%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (- t_0 0.5))
(t_2
(+
0.5
(*
-0.5
(+
(* (sin lambda1) (sin lambda2))
(* (cos lambda1) (cos lambda2)))))))
(if (<= phi1 -0.00022)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) t_1)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_2))))))
(if (<= phi1 2.4e-6)
(*
(* R 2.0)
(atan2
(sqrt (+ (+ 0.5 (* phi1 (* -0.5 (sin phi2)))) (* (cos phi2) t_1)))
(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) (- t_2 0.5))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_0))))))))))
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 = t_0 - 0.5;
double t_2 = 0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))));
double tmp;
if (phi1 <= -0.00022) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * t_1))), sqrt((0.5 + (cos(phi1) * (0.5 - t_2)))));
} else if (phi1 <= 2.4e-6) {
tmp = (R * 2.0) * atan2(sqrt(((0.5 + (phi1 * (-0.5 * sin(phi2)))) + (cos(phi2) * t_1))), 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) * (t_2 - 0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - t_0)))));
}
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 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = t_0 - 0.5d0
t_2 = 0.5d0 + ((-0.5d0) * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))))
if (phi1 <= (-0.00022d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * t_1))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_2)))))
else if (phi1 <= 2.4d-6) then
tmp = (r * 2.0d0) * atan2(sqrt(((0.5d0 + (phi1 * ((-0.5d0) * sin(phi2)))) + (cos(phi2) * t_1))), 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) * (t_2 - 0.5d0)))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_0)))))
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 = t_0 - 0.5;
double t_2 = 0.5 + (-0.5 * ((Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda1) * Math.cos(lambda2))));
double tmp;
if (phi1 <= -0.00022) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * t_1))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - t_2)))));
} else if (phi1 <= 2.4e-6) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((0.5 + (phi1 * (-0.5 * Math.sin(phi2)))) + (Math.cos(phi2) * t_1))), 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) * (t_2 - 0.5)))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - t_0)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = t_0 - 0.5 t_2 = 0.5 + (-0.5 * ((math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda1) * math.cos(lambda2)))) tmp = 0 if phi1 <= -0.00022: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * t_1))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - t_2))))) elif phi1 <= 2.4e-6: tmp = (R * 2.0) * math.atan2(math.sqrt(((0.5 + (phi1 * (-0.5 * math.sin(phi2)))) + (math.cos(phi2) * t_1))), 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) * (t_2 - 0.5)))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - t_0))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(t_0 - 0.5) t_2 = Float64(0.5 + Float64(-0.5 * Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda1) * cos(lambda2))))) tmp = 0.0 if (phi1 <= -0.00022) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * t_1))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_2)))))); elseif (phi1 <= 2.4e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(0.5 + Float64(phi1 * Float64(-0.5 * sin(phi2)))) + Float64(cos(phi2) * t_1))), 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(t_2 - 0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_0)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_1 = t_0 - 0.5; t_2 = 0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2)))); tmp = 0.0; if (phi1 <= -0.00022) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * t_1))), sqrt((0.5 + (cos(phi1) * (0.5 - t_2))))); elseif (phi1 <= 2.4e-6) tmp = (R * 2.0) * atan2(sqrt(((0.5 + (phi1 * (-0.5 * sin(phi2)))) + (cos(phi2) * t_1))), 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) * (t_2 - 0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - t_0))))); 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[(t$95$0 - 0.5), $MachinePrecision]}, Block[{t$95$2 = 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]}, If[LessEqual[phi1, -0.00022], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $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, 2.4e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(phi1 * N[(-0.5 * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $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[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := t\_0 - 0.5\\
t_2 := 0.5 + -0.5 \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_1 \cdot \cos \lambda_2\right)\\
\mathbf{if}\;\phi_1 \leq -0.00022:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot t\_1}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_2\right)}}\\
\mathbf{elif}\;\phi_1 \leq 2.4 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + \phi_1 \cdot \left(-0.5 \cdot \sin \phi_2\right)\right) + \cos \phi_2 \cdot t\_1}}{\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(t\_2 - 0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_0\right)}}\\
\end{array}
\end{array}
if phi1 < -2.20000000000000008e-4Initial program 51.7%
Applied egg-rr51.8%
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--.f6452.1%
Simplified52.1%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.7%
Simplified53.7%
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.f6454.1%
Applied egg-rr54.1%
if -2.20000000000000008e-4 < phi1 < 2.3999999999999999e-6Initial program 74.2%
Applied egg-rr64.8%
Taylor expanded in phi1 around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified64.8%
if 2.3999999999999999e-6 < phi1 Initial program 45.9%
Applied egg-rr46.0%
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--.f6446.8%
Simplified46.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6448.1%
Simplified48.1%
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.f6448.5%
Applied egg-rr48.5%
Final simplification57.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (- 0.5 t_0))
(t_2
(+
0.5
(*
-0.5
(+
(* (sin lambda1) (sin lambda2))
(* (cos lambda1) (cos lambda2)))))))
(if (<= phi1 -0.00026)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- t_0 0.5))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_2))))))
(if (<= phi1 5.5e-5)
(*
(* R 2.0)
(atan2
(sqrt
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))))
(sqrt (+ 0.5 (* (cos phi2) t_1)))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- t_2 0.5))))
(sqrt (+ 0.5 (* (cos phi1) 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 = 0.5 - t_0;
double t_2 = 0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))));
double tmp;
if (phi1 <= -0.00026) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_0 - 0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - t_2)))));
} else if (phi1 <= 5.5e-5) {
tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), sqrt((0.5 + (cos(phi2) * t_1))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_2 - 0.5)))), sqrt((0.5 + (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 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = 0.5d0 - t_0
t_2 = 0.5d0 + ((-0.5d0) * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))))
if (phi1 <= (-0.00026d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (t_0 - 0.5d0)))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_2)))))
else if (phi1 <= 5.5d-5) then
tmp = (r * 2.0d0) * atan2(sqrt(((0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))))), sqrt((0.5d0 + (cos(phi2) * t_1))))
else
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * (t_2 - 0.5d0)))), sqrt((0.5d0 + (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 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_1 = 0.5 - t_0;
double t_2 = 0.5 + (-0.5 * ((Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda1) * Math.cos(lambda2))));
double tmp;
if (phi1 <= -0.00026) {
tmp = (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 - t_2)))));
} else if (phi1 <= 5.5e-5) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), Math.sqrt((0.5 + (Math.cos(phi2) * t_1))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (t_2 - 0.5)))), Math.sqrt((0.5 + (Math.cos(phi1) * t_1))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = 0.5 - t_0 t_2 = 0.5 + (-0.5 * ((math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda1) * math.cos(lambda2)))) tmp = 0 if phi1 <= -0.00026: tmp = (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 - t_2))))) elif phi1 <= 5.5e-5: tmp = (R * 2.0) * math.atan2(math.sqrt(((0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), math.sqrt((0.5 + (math.cos(phi2) * t_1)))) else: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (t_2 - 0.5)))), math.sqrt((0.5 + (math.cos(phi1) * 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(0.5 - t_0) t_2 = Float64(0.5 + Float64(-0.5 * Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda1) * cos(lambda2))))) tmp = 0.0 if (phi1 <= -0.00026) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(t_0 - 0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_2)))))); elseif (phi1 <= 5.5e-5) tmp = Float64(Float64(R * 2.0) * atan(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(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))))), sqrt(Float64(0.5 + Float64(cos(phi2) * t_1))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(t_2 - 0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * 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 = 0.5 - t_0; t_2 = 0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2)))); tmp = 0.0; if (phi1 <= -0.00026) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_0 - 0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - t_2))))); elseif (phi1 <= 5.5e-5) tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), sqrt((0.5 + (cos(phi2) * t_1)))); else tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (t_2 - 0.5)))), sqrt((0.5 + (cos(phi1) * 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[(0.5 - t$95$0), $MachinePrecision]}, Block[{t$95$2 = 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]}, If[LessEqual[phi1, -0.00026], 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[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 5.5e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $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[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - t\_0\\
t_2 := 0.5 + -0.5 \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_1 \cdot \cos \lambda_2\right)\\
\mathbf{if}\;\phi_1 \leq -0.00026:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(t\_0 - 0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_2\right)}}\\
\mathbf{elif}\;\phi_1 \leq 5.5 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\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 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot t\_1}}\\
\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{0.5 + \cos \phi_1 \cdot t\_1}}\\
\end{array}
\end{array}
if phi1 < -2.59999999999999977e-4Initial program 51.7%
Applied egg-rr51.8%
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--.f6452.1%
Simplified52.1%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.7%
Simplified53.7%
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.f6454.1%
Applied egg-rr54.1%
if -2.59999999999999977e-4 < phi1 < 5.5000000000000002e-5Initial program 74.2%
Applied egg-rr64.8%
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--.f6464.8%
Simplified64.8%
if 5.5000000000000002e-5 < phi1 Initial program 45.9%
Applied egg-rr46.0%
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--.f6446.8%
Simplified46.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6448.1%
Simplified48.1%
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.f6448.5%
Applied egg-rr48.5%
Final simplification57.8%
(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
(+
0.5
(*
-0.5
(+
(* (sin lambda1) (sin lambda2))
(* (cos lambda1) (cos lambda2)))))))))))))
(if (<= phi1 -0.0003)
t_1
(if (<= phi1 1.9e-5)
(*
(* R 2.0)
(atan2
(sqrt
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))))
(sqrt (+ 0.5 (* (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 - (0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))))))))));
double tmp;
if (phi1 <= -0.0003) {
tmp = t_1;
} else if (phi1 <= 1.9e-5) {
tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), sqrt((0.5 + (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 - (0.5d0 + ((-0.5d0) * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2))))))))))
if (phi1 <= (-0.0003d0)) then
tmp = t_1
else if (phi1 <= 1.9d-5) then
tmp = (r * 2.0d0) * atan2(sqrt(((0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))))), sqrt((0.5d0 + (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 - (0.5 + (-0.5 * ((Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda1) * Math.cos(lambda2))))))))));
double tmp;
if (phi1 <= -0.0003) {
tmp = t_1;
} else if (phi1 <= 1.9e-5) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), Math.sqrt((0.5 + (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 - (0.5 + (-0.5 * ((math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda1) * math.cos(lambda2)))))))))) tmp = 0 if phi1 <= -0.0003: tmp = t_1 elif phi1 <= 1.9e-5: tmp = (R * 2.0) * math.atan2(math.sqrt(((0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), math.sqrt((0.5 + (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(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda1) * cos(lambda2))))))))))) tmp = 0.0 if (phi1 <= -0.0003) tmp = t_1; elseif (phi1 <= 1.9e-5) tmp = Float64(Float64(R * 2.0) * atan(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(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))))), sqrt(Float64(0.5 + 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 - (0.5 + (-0.5 * ((sin(lambda1) * sin(lambda2)) + (cos(lambda1) * cos(lambda2)))))))))); tmp = 0.0; if (phi1 <= -0.0003) tmp = t_1; elseif (phi1 <= 1.9e-5) tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), sqrt((0.5 + (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[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - 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]), $MachinePrecision]}, If[LessEqual[phi1, -0.0003], t$95$1, If[LessEqual[phi1, 1.9e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + 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{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_1 \cdot \cos \lambda_2\right)\right)\right)}}\\
\mathbf{if}\;\phi_1 \leq -0.0003:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 1.9 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\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 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -2.99999999999999974e-4 or 1.9000000000000001e-5 < phi1 Initial program 48.6%
Applied egg-rr48.6%
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--.f6449.2%
Simplified49.2%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6450.6%
Simplified50.6%
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.f6450.9%
Applied egg-rr50.9%
if -2.99999999999999974e-4 < phi1 < 1.9000000000000001e-5Initial program 74.2%
Applied egg-rr64.8%
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--.f6464.8%
Simplified64.8%
Final simplification57.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* -0.5 t_0))
(t_2 (- 0.5 (+ 0.5 t_1))))
(if (<= phi1 -0.0024)
(*
(* R 2.0)
(atan2
(sqrt (fma t_1 (cos phi1) 0.5))
(sqrt (+ 0.5 (* (cos phi1) t_2)))))
(if (<= phi1 5e-5)
(*
(* R 2.0)
(atan2
(sqrt
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))))
(sqrt (+ 0.5 (* (cos phi2) t_2)))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* t_0 (* (cos phi1) 0.5))))))))))
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 - (0.5 + t_1);
double tmp;
if (phi1 <= -0.0024) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_1, cos(phi1), 0.5)), sqrt((0.5 + (cos(phi1) * t_2))));
} else if (phi1 <= 5e-5) {
tmp = (R * 2.0) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))))), sqrt((0.5 + (cos(phi2) * t_2))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (t_0 * (cos(phi1) * 0.5)))));
}
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 - Float64(0.5 + t_1)) tmp = 0.0 if (phi1 <= -0.0024) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_1, cos(phi1), 0.5)), sqrt(Float64(0.5 + Float64(cos(phi1) * t_2))))); elseif (phi1 <= 5e-5) tmp = Float64(Float64(R * 2.0) * atan(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(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))))), sqrt(Float64(0.5 + Float64(cos(phi2) * t_2))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * 0.5)))))); end return 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 - N[(0.5 + t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0024], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 5e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $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[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $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 - \left(0.5 + t\_1\right)\\
\mathbf{if}\;\phi_1 \leq -0.0024:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \cos \phi_1, 0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_2}}\\
\mathbf{elif}\;\phi_1 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\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 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot t\_2}}\\
\mathbf{else}:\\
\;\;\;\;\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 + t\_0 \cdot \left(\cos \phi_1 \cdot 0.5\right)}}\\
\end{array}
\end{array}
if phi1 < -0.00239999999999999979Initial program 51.7%
Applied egg-rr51.8%
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--.f6452.1%
Simplified52.1%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.7%
Simplified53.7%
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
associate--l+N/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6453.8%
Applied egg-rr53.8%
if -0.00239999999999999979 < phi1 < 5.00000000000000024e-5Initial program 74.2%
Applied egg-rr64.8%
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--.f6464.8%
Simplified64.8%
if 5.00000000000000024e-5 < phi1 Initial program 45.9%
Applied egg-rr46.0%
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--.f6446.8%
Simplified46.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6448.1%
Simplified48.1%
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
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
Simplified48.2%
Final simplification57.7%
(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 -0.00022)
(*
(* R 2.0)
(atan2
(sqrt (fma t_1 (cos phi1) 0.5))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_2))))))
(if (<= phi1 1.55e-5)
(*
(* 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 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* t_0 (* (cos phi1) 0.5))))))))))
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 <= -0.00022) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_1, cos(phi1), 0.5)), sqrt((0.5 + (cos(phi1) * (0.5 - t_2)))));
} else if (phi1 <= 1.55e-5) {
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 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (t_0 * (cos(phi1) * 0.5)))));
}
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 <= -0.00022) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_1, cos(phi1), 0.5)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_2)))))); elseif (phi1 <= 1.55e-5) 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(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * 0.5)))))); end return 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, -0.00022], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + 0.5), $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, 1.55e-5], 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[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $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 -0.00022:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \cos \phi_1, 0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_2\right)}}\\
\mathbf{elif}\;\phi_1 \leq 1.55 \cdot 10^{-5}:\\
\;\;\;\;\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 + t\_0 \cdot \left(\cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + t\_0 \cdot \left(\cos \phi_1 \cdot 0.5\right)}}\\
\end{array}
\end{array}
if phi1 < -2.20000000000000008e-4Initial program 51.7%
Applied egg-rr51.8%
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--.f6452.1%
Simplified52.1%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.7%
Simplified53.7%
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
associate--l+N/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6453.8%
Applied egg-rr53.8%
if -2.20000000000000008e-4 < phi1 < 1.55000000000000007e-5Initial program 74.2%
Applied egg-rr64.8%
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--.f6464.7%
Simplified64.7%
if 1.55000000000000007e-5 < phi1 Initial program 45.9%
Applied egg-rr46.0%
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--.f6446.8%
Simplified46.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6448.1%
Simplified48.1%
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
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
Simplified48.2%
Final simplification57.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (+ 0.5 (* -0.5 t_1))))
(if (<= (- lambda1 lambda2) -0.0001)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_1 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* t_1 (* (cos phi1) 0.5))))))
(if (<= (- lambda1 lambda2) 2000000000000.0)
(*
(* R 2.0)
(atan2
(sqrt t_0)
(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) (- t_2 0.5))))
(sqrt (- 1.0 (+ t_0 (* (cos phi1) (* (cos phi2) t_2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((phi1 - phi2)));
double t_1 = cos((lambda1 - lambda2));
double t_2 = 0.5 + (-0.5 * t_1);
double tmp;
if ((lambda1 - lambda2) <= -0.0001) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_1 * (cos(phi1) * -0.5)))), sqrt((0.5 + (t_1 * (cos(phi1) * 0.5)))));
} else if ((lambda1 - lambda2) <= 2000000000000.0) {
tmp = (R * 2.0) * atan2(sqrt(t_0), 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) * (t_2 - 0.5)))), sqrt((1.0 - (t_0 + (cos(phi1) * (cos(phi2) * 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 = 0.5d0 + ((-0.5d0) * cos((phi1 - phi2)))
t_1 = cos((lambda1 - lambda2))
t_2 = 0.5d0 + ((-0.5d0) * t_1)
if ((lambda1 - lambda2) <= (-0.0001d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_1 * (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (t_1 * (cos(phi1) * 0.5d0)))))
else if ((lambda1 - lambda2) <= 2000000000000.0d0) then
tmp = (r * 2.0d0) * atan2(sqrt(t_0), 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) * (t_2 - 0.5d0)))), sqrt((1.0d0 - (t_0 + (cos(phi1) * (cos(phi2) * 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 = 0.5 + (-0.5 * Math.cos((phi1 - phi2)));
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = 0.5 + (-0.5 * t_1);
double tmp;
if ((lambda1 - lambda2) <= -0.0001) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_1 * (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (t_1 * (Math.cos(phi1) * 0.5)))));
} else if ((lambda1 - lambda2) <= 2000000000000.0) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(t_0), 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) * (t_2 - 0.5)))), Math.sqrt((1.0 - (t_0 + (Math.cos(phi1) * (Math.cos(phi2) * t_2))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((phi1 - phi2))) t_1 = math.cos((lambda1 - lambda2)) t_2 = 0.5 + (-0.5 * t_1) tmp = 0 if (lambda1 - lambda2) <= -0.0001: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_1 * (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (t_1 * (math.cos(phi1) * 0.5))))) elif (lambda1 - lambda2) <= 2000000000000.0: tmp = (R * 2.0) * math.atan2(math.sqrt(t_0), 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) * (t_2 - 0.5)))), math.sqrt((1.0 - (t_0 + (math.cos(phi1) * (math.cos(phi2) * t_2)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(0.5 + Float64(-0.5 * t_1)) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -0.0001) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_1 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(t_1 * Float64(cos(phi1) * 0.5)))))); elseif (Float64(lambda1 - lambda2) <= 2000000000000.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(t_0), 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(t_2 - 0.5)))), sqrt(Float64(1.0 - Float64(t_0 + Float64(cos(phi1) * Float64(cos(phi2) * t_2))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((phi1 - phi2))); t_1 = cos((lambda1 - lambda2)); t_2 = 0.5 + (-0.5 * t_1); tmp = 0.0; if ((lambda1 - lambda2) <= -0.0001) tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_1 * (cos(phi1) * -0.5)))), sqrt((0.5 + (t_1 * (cos(phi1) * 0.5))))); elseif ((lambda1 - lambda2) <= 2000000000000.0) tmp = (R * 2.0) * atan2(sqrt(t_0), 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) * (t_2 - 0.5)))), sqrt((1.0 - (t_0 + (cos(phi1) * (cos(phi2) * t_2)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 + N[(-0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -0.0001], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$1 * N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(t$95$1 * N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 2000000000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$0], $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[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 + -0.5 \cdot t\_1\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -0.0001:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + t\_1 \cdot \left(\cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + t\_1 \cdot \left(\cos \phi_1 \cdot 0.5\right)}}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 2000000000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\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(t\_2 - 0.5\right)}}{\sqrt{1 - \left(t\_0 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_2\right)\right)}}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -1.00000000000000005e-4Initial program 58.6%
Applied egg-rr58.5%
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--.f6446.3%
Simplified46.3%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6447.4%
Simplified47.4%
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
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
Simplified47.4%
if -1.00000000000000005e-4 < (-.f64 lambda1 lambda2) < 2e12Initial program 74.4%
Applied egg-rr54.6%
Taylor expanded in lambda2 around 0
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6453.4%
Simplified53.4%
Taylor expanded in lambda1 around 0
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6452.2%
Simplified52.2%
if 2e12 < (-.f64 lambda1 lambda2) Initial program 55.9%
Applied egg-rr56.0%
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--.f6444.2%
Simplified44.2%
Applied egg-rr44.2%
Final simplification47.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* t_0 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* t_0 (* (cos phi1) 0.5))))))))
(if (<= (- lambda1 lambda2) -0.0001)
t_1
(if (<= (- lambda1 lambda2) 100.0)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))
(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)))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (t_0 * (cos(phi1) * 0.5)))));
double tmp;
if ((lambda1 - lambda2) <= -0.0001) {
tmp = t_1;
} else if ((lambda1 - lambda2) <= 100.0) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), 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 = 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 = cos((lambda1 - lambda2))
t_1 = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_0 * (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (t_0 * (cos(phi1) * 0.5d0)))))
if ((lambda1 - lambda2) <= (-0.0001d0)) then
tmp = t_1
else if ((lambda1 - lambda2) <= 100.0d0) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))), 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 = 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 = Math.cos((lambda1 - lambda2));
double t_1 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_0 * (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (t_0 * (Math.cos(phi1) * 0.5)))));
double tmp;
if ((lambda1 - lambda2) <= -0.0001) {
tmp = t_1;
} else if ((lambda1 - lambda2) <= 100.0) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (-0.5 * Math.cos((phi1 - phi2))))), 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 = t_1;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_0 * (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (t_0 * (math.cos(phi1) * 0.5))))) tmp = 0 if (lambda1 - lambda2) <= -0.0001: tmp = t_1 elif (lambda1 - lambda2) <= 100.0: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (-0.5 * math.cos((phi1 - phi2))))), 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 = t_1 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(t_0 * Float64(cos(phi1) * 0.5)))))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -0.0001) tmp = t_1; elseif (Float64(lambda1 - lambda2) <= 100.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))), 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 = t_1; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = (R * 2.0) * atan2(sqrt((0.5 + (t_0 * (cos(phi1) * -0.5)))), sqrt((0.5 + (t_0 * (cos(phi1) * 0.5))))); tmp = 0.0; if ((lambda1 - lambda2) <= -0.0001) tmp = t_1; elseif ((lambda1 - lambda2) <= 100.0) tmp = (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), 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 = t_1; 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[(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[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -0.0001], t$95$1, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 100.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $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], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \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 + t\_0 \cdot \left(\cos \phi_1 \cdot 0.5\right)}}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -0.0001:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 100:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\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}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -1.00000000000000005e-4 or 100 < (-.f64 lambda1 lambda2) Initial program 57.2%
Applied egg-rr57.2%
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--.f6444.9%
Simplified44.9%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.4%
Simplified45.4%
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
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
Simplified45.5%
if -1.00000000000000005e-4 < (-.f64 lambda1 lambda2) < 100Initial program 75.0%
Applied egg-rr54.5%
Taylor expanded in lambda2 around 0
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6453.3%
Simplified53.3%
Taylor expanded in lambda1 around 0
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.3%
Simplified53.3%
Final simplification47.2%
(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 (* t_0 (* (cos phi1) 0.5))))))))
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 + (t_0 * (cos(phi1) * 0.5)))));
}
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 + (t_0 * (cos(phi1) * 0.5d0)))))
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 + (t_0 * (Math.cos(phi1) * 0.5)))));
}
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 + (t_0 * (math.cos(phi1) * 0.5)))))
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(t_0 * Float64(cos(phi1) * 0.5)))))) 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 + (t_0 * (cos(phi1) * 0.5))))); 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[(t$95$0 * N[(N[Cos[phi1], $MachinePrecision] * 0.5), $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 + t\_0 \cdot \left(\cos \phi_1 \cdot 0.5\right)}}
\end{array}
\end{array}
Initial program 61.2%
Applied egg-rr56.6%
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--.f6443.2%
Simplified43.2%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6443.6%
Simplified43.6%
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
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
Simplified43.7%
Final simplification43.7%
(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 61.2%
Applied egg-rr56.6%
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--.f6443.2%
Simplified43.2%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6443.6%
Simplified43.6%
Taylor expanded in phi1 around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6429.0%
Simplified29.0%
Final simplification29.0%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))) (* (* R 2.0) (atan2 (sqrt t_0) (sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_0))))))))
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(t_0), sqrt((0.5 + (cos(phi1) * (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 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
code = (r * 2.0d0) * atan2(sqrt(t_0), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_0)))))
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)));
return (R * 2.0) * Math.atan2(Math.sqrt(t_0), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - t_0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) return (R * 2.0) * math.atan2(math.sqrt(t_0), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - t_0)))))
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(t_0), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); tmp = (R * 2.0) * atan2(sqrt(t_0), sqrt((0.5 + (cos(phi1) * (0.5 - t_0))))); 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[t$95$0], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $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{t\_0}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_0\right)}}
\end{array}
\end{array}
Initial program 61.2%
Applied egg-rr56.6%
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--.f6443.2%
Simplified43.2%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6443.6%
Simplified43.6%
Taylor expanded in phi1 around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6426.9%
Simplified26.9%
Final simplification26.9%
herbie shell --seed 2024191
(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))))))))))