Minimal-norm RKHS solution of an integral model in geo-electromagnetism. - Patricia Diaz de Alba; Luisa Fermo; Federica Pes; Giuseppe Rodriguez (ICCSA (Workshops), 2021)

A doubly relaxed minimal-norm Gauss-Newton method for nonlinear least-squares. - Federica Pes; Giuseppe Rodriguez (CoRR, 2021)

Truncated Minimal-Norm Gauss-Newton Method Applied to the Inversion of FDEM Data. - Federica Pes (ICCSA (Workshops 5), 2023)

Ascertaining the Ideality of Photometric Stereo Datasets under Unknown Lighting. - Elisa Crabu; Federica Pes; Giuseppe Rodriguez; Giuseppa Tanda (Algorithms, 2023)

Regularized minimal-norm solution of an overdetermined system of first kind integral equations. - Patricia Diaz de Alba; Luisa Fermo; Federica Pes; Giuseppe Rodriguez (Numer. Algorithms, 2023)

Forward Electromagnetic Induction Modelling in a Multilayered Half-Space: An Open-Source Software Tool. - Gian Piero Deidda; Patricia Diaz de Alba; Federica Pes; Giuseppe Rodriguez (Remote. Sens., 2023)

A projection method for general form linear least-squares problems. - Federica Pes; Giuseppe Rodriguez (Appl. Math. Lett., 2023)

An Efficient Implementation of the Gauss-Newton Method Via Generalized Krylov Subspaces. - Alessandro Buccini; Patricia Diaz de Alba; Federica Pes; Lothar Reichel (J. Sci. Comput., 2023)

An Alternating Direction Multiplier Method for the Inversion of FDEM Data. - Alessandro Buccini; Patricia Diaz de Alba; Federica Pes (J. Sci. Comput., 2024)