\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 \cdot \cos \lambda_2 + \cos \lambda_1 \cdot \sin \left(-\lambda_2\right)\right)}{\mathsf{fma}\left(\cos \lambda_1, \cos \lambda_2 \cdot \cos \phi_2, \cos \phi_1\right) + \cos \phi_2 \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2\right)}double code(double lambda1, double lambda2, double phi1, double phi2) {
return (lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2))))));
}
double code(double lambda1, double lambda2, double phi1, double phi2) {
return (lambda1 + atan2((cos(phi2) * ((sin(lambda1) * cos(lambda2)) + (cos(lambda1) * sin(-lambda2)))), (fma(cos(lambda1), (cos(lambda2) * cos(phi2)), cos(phi1)) + (cos(phi2) * (sin(lambda1) * sin(lambda2))))));
}



Bits error versus lambda1



Bits error versus lambda2



Bits error versus phi1



Bits error versus phi2
Results
Initial program 0.9
rmApplied sub-neg0.9
Applied sin-sum0.8
Simplified0.8
rmApplied cos-diff0.2
Applied distribute-lft-in0.2
Applied associate-+r+0.2
Simplified0.2
Final simplification0.2
herbie shell --seed 2020079 +o rules:numerics
(FPCore (lambda1 lambda2 phi1 phi2)
:name "Midpoint on a great circle"
:precision binary64
(+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))