The traditional Gauss-Newton algorithm used in DOA estimation has some defects: (1) over reliance on the choice of initial values (2) fall into local optimum easily. In order to solve these defects ...

The Gauss-Newton (GN) algorithm is the minimum-variance non-recursive estimation procedure invented by Gauss in 1809 [3, 4, 7]. Mathematicians refer to it by that name; statisticians refer to it as ...

Iterative algorithms of Gauss-Newton type for the solution of nonlinear least squares problems are considered. They separate the variables into two sets in such a way that in each iteration, ...

Dharmesh Tailor, Alvaro H.C. Correia, Eric Nalisnick and Christos Louizos. "Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence." [ICLR2025] Qualcomm AI ...

This paper describes a modification to the Gauss-Newton method for the solution of nonlinear least-squares problems. The new method seeks to avoid the deficiencies in the Gauss-Newton method by ...