rd.local_optimization()

RotationalDiffusion.fitting.local_optimization(lag_times, Q_data, weights=1, model='anisotropic', chi2_func=<function chi2_PCS>, D_init=None, PCS_init=None, tol=1e-10, max_iter=1000)

Local optimization of diffusion coefficients and principal axes using a least-squares fitting procedure.