This is a preview. Log in through your library . Abstract We present a local convergence analysis of a two-step Gauss-Newton method under the generalized and classical Lipschitz conditions for the ...

This article considers a new approximation to the log-likelihood surface in mixture models. This approximation is based on both the mean and variance of the full-data log-likelihood over imputations ...

where Z is a matrix of the independent variables, is a vector of the parameters, is the error vector, and F is a function of the independent variables and the ...

Partial differential equation based inverse problem such as image reconstruction in electrical impedance tomography (EIT) often lead to non-convex optimization problems. These problems are also ...