53 citations · 111 across the 10 of their papers we have counts for
10 papers
Uniform multi-penalty regularization for linear ill-posed inverse problems
Villiam Bortolotti, Germana Landi, Fabiana Zama
This study examines, in the framework of variational regularization methods, a multi-penalty regularization approach which builds upon the Uniform PENalty (UPEN) method, previously…
Linearizing Anhysteretic Magnetization Curves: A Novel Algorithm for Finding Simulation Parameters and Magnetic Moments
Daniele Carosi, Fabiana Zama, Alessandro Morri +1
This paper proposes a new method for determining the simulation parameters of the Jiles-Atherton Model used to simulate the first magnetization curve and hysteresis loop in ferroma…
An automatic L1-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks
Germana Landi, Giovanni V. Spinelli, Fabiana Zama +4
Fast Field-Cycling Nuclear Magnetic Resonance relaxometry is a non-destructive technique to investigate molecular dynamics and structure of systems having a wide range of applicati…
Explicit Exactly Energy-conserving Methods for Hamiltonian Systems
Stefan Bilbao, Michele Ducceschi, Fabiana Zama
For Hamiltonian systems, simulation algorithms that exactly conserve numerical energy or pseudo-energy have seen extensive investigation. Most available methods either require the…
MUPen2DTool: a Matlab Tool for 2D Nuclear Magnetic Resonance relaxation data inversion
Villiam Bortolotti, Leonardo Brizi, Germana Landi +2
Accurate and efficient analysis of materials properties from Nuclear Magnetic Resonance (NMR) relaxation data requires robust and efficient inversion procedures. Despite the great…
2DNMR data inversion using locally adapted multi-penalty regularization
Villiam Bortolotti, Germana Landi, Fabiana Zama
A crucial issue in two-dimensional Nuclear Magnetic Resonance (NMR) is the speed and accuracy of the data inversion. This paper proposes a multi-penalty method with locally adapted…
Preliminary analysis of COVID-19 spread in Italy with an adaptive SEIRD model
Elena Loli Piccolomini, Fabiana Zama
In this paper we propose a Susceptible-Infected-Exposed-Recovered-Dead (SEIRD) differential model for the analysis and forecast of the COVID-19 spread in some regions of Italy, usi…
A Fast Splitting Method for efficient Split Bregman Iterations
D. Lazzaro, E. Loli Piccolomini, F. Zama
In this paper we propose a new fast splitting algorithm to solve the Weighted Split Bregman minimization problem in the backward step of an accelerated Forward-Backward algorithm.…
A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR images reconstruction
Damiana Lazzaro, Elena Loli Piccolomini, Fabiana Zama
In this paper we present a fast and efficient method for the reconstruction of Magnetic Resonance Images (MRI) from severely under-sampled data. From the Compressed Sensing theory…
Uniform Penalty inversion of two-dimensional NMR Relaxation data
V. Bortolotti, R. J. S. Brown, P. Fantazzini +2
The inversion of two-dimensional NMR data is an ill-posed problem related to the numerical computation of the inverse Laplace transform. In this paper we present the 2DUPEN algorit…