An analysis of the mixed least squares-total least squares problems

In this paper, we first get further consideration of the order perturbation with normwise condition number MTLS problem. For easy estimation, show a lower bound for which is proved to be optimal. overcome problems encountered in calculating number, give an upper computing more effectively and nonstandard unusual bounds Both two types can enjoy storage computational advantages. getting insight into sensitivity technique respect perturbations all data, analyze corrections applied by data Ax ? b make set compatible indicate how closely A, fit so-called general errors-in-variables model. On estimate conditioning problem effectively, propose statistical algorithms taking advantage superiority small sample estimation (SCE) techniques.