The central limit theorem implies that those statistical parameters will have asymptotically normal distributions. Some estimators can attain efficiency asymptotically and are thus called "asymptotically efficient estimators". For some estimators, they can attain efficiency asymptotically and are thus called asymptotically efficient estimators. In the context of an asymptotically flat spacetime, the boundary conditions are given at infinity. However, the normal and chi-square approximations are only valid asymptotically. The nonexistence of an asymptotically optimal algorithm is called speedup. In particular, both estimators are asymptotically efficient for formula 6. This estimator is consistent and asymptotically efficient. The asymptotically best efficiency is obtained by computing from its prime factorization. Another estimator which is asymptotically normal and efficient is the maximum likelihood estimator (MLE). It is proved analytically that the asymptotically power-law degree distribution is preserved. Classical provable security primarily aimed at studying the relationship between asymptotically defined objects. In this sense an algorithm based on this scheme produces asymptotically optimal encodings. The error is asymptotically proportional to formula 33. This algorithm is also , so it is asymptotically optimal.