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Local convergence analysis of proximal Gauss-Newton method for penalized nonlinear least squares problems
We present a local convergence analysis of the proximal Gauss-Newton method for solving penalized nonlinear least squares problems in a Hilbert space setting. Using more precise majorant conditions than in earlier studies ...
Mitigating systematic errors for single frequency GPS receivers employing a penalized least squares methodology
(2006-12-27)
Among the positioning systems that compose GNSS (Global Navigation Satellite System), GPS has the capability of providing low, medium and high precision positioning data. However, GPS observables may be subject to many ...
Mitigating systematic errors for single frequency GPS receivers employing a penalized least squares methodology
(2006-12-27)
Among the positioning systems that compose GNSS (Global Navigation Satellite System), GPS has the capability of providing low, medium and high precision positioning data. However, GPS observables may be subject to many ...
Proximal Gauss-Newton method
In this chapter we extend the solvability of penalized nonlinear least squares problems using the proximal Gauss–Newton method. Moreover, a numerical example validating the theoretical results is also presented.
Sequential adaptive nonparametric regression via H-splines
(Marcel Dekker IncNew YorkEUA, 1999)