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MOX_report

New MOX Report on “Computationally efficient techniques for Spatial Regression with Differential Regularization”

A new MOX Report entitled “Computationally efficient techniques for Spatial Regression with Differential Regularization” by Arnone, E.; De Falco, C.; Formaggia, L.; Meretti, G.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/85-2023.pdf Abstract: We investigate some computational aspects of an innovative class of PDE-regularized […]