Inspired by certain regularization techniques for linear inverse problems, in this work we
investigate the convergence properties of the Levenberg-Marquardt method using singular …

This article presents a feasible sequential convex programming method to solve the
multistage ascent trajectory optimization problem. The proposed method is based on the …

Electromagnetic induction (EMI) techniques are widely used in geophysical surveying. Their
success is mainly due to their easy and fast data acquisition, but the effectiveness of data …

When a physical system is modeled by a nonlinear function, the unknown parameters can
be estimated by fitting experimental observations by a least-squares approach. Newton's …

Overdetermined systems of first kind integral equations appear in many applications. When
the right-hand side is discretized, the resulting finite-data problem is ill-posed and admits …

In this paper, a numerical method is developed for approximating the solution of a linear
integral model in a reproducing kernel Hilbert space (RKHS). The model is typical of …

The standard photometric stereo model makes several assumptions that are rarely verified
in experimental datasets. In particular, the observed object should behave as a Lambertian …

The solution of nonlinear inverse problems is a challenging task in numerical analysis. In
most cases, this kind of problems is solved by iterative procedures that, at each iteration …

Artifacts documentation is an important aspect of archaeological studies, not only to
preserve these objects but also to learn from them the culture of ancient populations. Hence …

One of the possible approaches for the solution of underdetermined linear least-squares
problems in general form, for a chosen regularization operator L, projects the problem in the …