17 citations · 42 across the 6 of their papers we have counts for
6 papers
Ascertaining the ideality of photometric stereo datasets under unknown lighting
Elisa Crabu, Federica Pes, Giuseppe Rodriguez +1
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…
CASSCF response equations revisited: a simple and efficient iterative algorithm
Riccardo Alessandro, Ivan Giannì, Federica Pes +2
We present an algorithm to solve the CASSCF linear response equations that is both simple and efficient. The algorithm makes use of the well established symmetric and antisymmetric…
A Quasi Time-Reversible scheme based on density matrix extrapolation on the Grassmann manifold for Born-Oppenheimer Molecular Dynamics
Federica Pes, Ètienne Polack, Patrizia Mazzeo +3
This article proposes a so-called Quasi Time-Reversible (QTR G-Ext) scheme based on Grassmann extrapolation of density matrices for an accurate calculation of initial guesses in Bo…
Forward electromagnetic induction modelling in a multilayered half-space: An open-source software tool
Gian Piero Deidda, Patricia Díaz de Alba, Federica Pes +1
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 d…
Regularized minimal-norm solution of an overdetermined system of first kind integral equations
Patricia Díaz de Alba, Luisa Fermo, Federica Pes +1
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 adm…
A doubly relaxed minimal-norm Gauss-Newton method for underdetermined nonlinear least-squares problems
Federica Pes, Giuseppe Rodriguez
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 method…