activity
20192022
most citedNonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces

42 citations · 69 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2022

Waserstein model reduction approach for parametrized flow problems in porous media

Beatrice Battisti, Tobias Blickhan, Guillaume Enchéry +3

The aim of this work is to build a reduced-order model for parametrized porous media equations. The main challenge of this type of problems is that the Kolmogorov width of the solu…

math.NA2021★ 12 cited

State Estimation with Model Reduction and Shape Variability. Application to biomedical problems

Felipe Galarce, Damiano Lombardi, Olga Mula

We develop a mathematical and numerical framework to solve state estimation problems for applications that present variations in the shape of the spatial domain. This situation ari…

math.NA2020★ 15 cited

Reconstructing Haemodynamics Quantities of Interest from Doppler Ultrasound Imaging

Felipe Galarce, Damiano Lombardi, Olga Mula

The present contribution deals with the estimation of haemodynamics Quantities of Interest by exploiting Ultrasound Doppler measurements. A fast method is proposed, based on the PB…

math.NA2019★ 42 cited

Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces

V. Ehrlacher, D. Lombardi, O. Mula +1

We consider the problem of model reduction of parametrized PDEs where the goal is to approximate any function belonging to the set of solutions at a reduced computational cost. For…

math.NA2019

Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models

Felipe Galarce, Jean-Frédéric Gerbeau, Damiano Lombardi +1

This paper deals with the problem of building fast and reliable 3D reconstruction methods for blood flows for which partial information is given by Doppler ultrasound measurements.…