3 papers
math.NA2024
Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
The electrical impedance tomography (EIT) problem of estimating the unknown conductivity distribution inside a domain from boundary current or voltage measurements requires the sol…
math.NA2024
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023
Monica Pragliola, Daniela Calvetti, Erkki Somersalo
The aim of Electrical Impedance Tomography (EIT) is to determine the electrical conductivity distribution inside a domain by applying currents and measuring voltages on its boundar…
math.NA2020
Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
The recovery of sparse generative models from few noisy measurements is an important and challenging problem. Many deterministic algorithms rely on some form of - m…