(FPCore (R lambda1 lambda2 phi1 phi2)
: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))))))))))(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda2 lambda1) 2.0)))
(t_1 (pow (sin (* -0.5 (- phi2 phi1))) 2.0))
(t_2
(-
(fma
(pow (cos lambda2) 2.0)
(pow (cos lambda1) 2.0)
(* (pow (sin lambda2) 2.0) (pow (sin lambda1) 2.0)))
(*
(sin lambda1)
(* (cos lambda1) (* (cos lambda2) (sin lambda2)))))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (* t_0 t_0)) t_1))
(sqrt
(pow
(pow
(-
1.0
(fma
(cos phi1)
(*
(cos phi2)
(+
0.5
(*
-0.5
(+
(/ (pow (sin lambda1) 3.0) (/ t_2 (pow (sin lambda2) 3.0)))
(* (/ (pow (cos lambda2) 3.0) t_2) (pow (cos lambda1) 3.0))))))
t_1))
3.0)
0.3333333333333333)))))))double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 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))))))));
}
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda2 - lambda1) / 2.0));
double t_1 = pow(sin((-0.5 * (phi2 - phi1))), 2.0);
double t_2 = fma(pow(cos(lambda2), 2.0), pow(cos(lambda1), 2.0), (pow(sin(lambda2), 2.0) * pow(sin(lambda1), 2.0))) - (sin(lambda1) * (cos(lambda1) * (cos(lambda2) * sin(lambda2))));
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (t_0 * t_0)), t_1)), sqrt(pow(pow((1.0 - fma(cos(phi1), (cos(phi2) * (0.5 + (-0.5 * ((pow(sin(lambda1), 3.0) / (t_2 / pow(sin(lambda2), 3.0))) + ((pow(cos(lambda2), 3.0) / t_2) * pow(cos(lambda1), 3.0)))))), t_1)), 3.0), 0.3333333333333333))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * sin(Float64(Float64(lambda1 - lambda2) / 2.0))) * sin(Float64(Float64(lambda1 - lambda2) / 2.0))))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * sin(Float64(Float64(lambda1 - lambda2) / 2.0))) * sin(Float64(Float64(lambda1 - lambda2) / 2.0))))))))) end
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) / 2.0)) t_1 = sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0 t_2 = Float64(fma((cos(lambda2) ^ 2.0), (cos(lambda1) ^ 2.0), Float64((sin(lambda2) ^ 2.0) * (sin(lambda1) ^ 2.0))) - Float64(sin(lambda1) * Float64(cos(lambda1) * Float64(cos(lambda2) * sin(lambda2))))) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(t_0 * t_0)), t_1)), sqrt(((Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * Float64(Float64((sin(lambda1) ^ 3.0) / Float64(t_2 / (sin(lambda2) ^ 3.0))) + Float64(Float64((cos(lambda2) ^ 3.0) / t_2) * (cos(lambda1) ^ 3.0)))))), t_1)) ^ 3.0) ^ 0.3333333333333333))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - 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] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Power[N[Cos[lambda2], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[N[Cos[lambda1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Power[N[Sin[lambda2], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[N[Sin[lambda1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sin[lambda1], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[Power[N[Power[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[(N[(N[Power[N[Sin[lambda1], $MachinePrecision], 3.0], $MachinePrecision] / N[(t$95$2 / N[Power[N[Sin[lambda2], $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Power[N[Cos[lambda2], $MachinePrecision], 3.0], $MachinePrecision] / t$95$2), $MachinePrecision] * N[Power[N[Cos[lambda1], $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], 0.3333333333333333], $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\right)}}\right)
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_2 - \lambda_1}{2}\right)\\
t_1 := {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\\
t_2 := \mathsf{fma}\left({\cos \lambda_2}^{2}, {\cos \lambda_1}^{2}, {\sin \lambda_2}^{2} \cdot {\sin \lambda_1}^{2}\right) - \sin \lambda_1 \cdot \left(\cos \lambda_1 \cdot \left(\cos \lambda_2 \cdot \sin \lambda_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(t_0 \cdot t_0\right), t_1\right)}}{\sqrt{{\left({\left(1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \left(\frac{{\sin \lambda_1}^{3}}{\frac{t_2}{{\sin \lambda_2}^{3}}} + \frac{{\cos \lambda_2}^{3}}{t_2} \cdot {\cos \lambda_1}^{3}\right)\right), t_1\right)\right)}^{3}\right)}^{0.3333333333333333}}}\right)
\end{array}



Bits error versus R



Bits error versus lambda1



Bits error versus lambda2



Bits error versus phi1



Bits error versus phi2
Initial program 24.3
Simplified24.3
Applied egg-rr24.3
Applied egg-rr24.0
Taylor expanded in lambda2 around inf 24.0
Simplified24.0
Final simplification24.0
herbie shell --seed 2022156
(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))))))))))