activity
20162023
most citedA greedy non-intrusive reduced order model for shallow water equations

43 citations · 199 across the 17 of their papers we have counts for

collaborators

18 papers

math.NA2023

Computing the L1 optimal transport density: a FEM approach

Federico Piazzon, Enrico Facca, Mario Putti

The optimal transport density is the unique solution of the Monge-Kantorovich equations. It has been recently characterized also as the unique minimizer of t…

math.NA2022★ 1 cited

A geometrically intrinsic Lagrangian-Eulerian scheme for 2D Shallow Water Equations with variable topography and discontinuous data

Eduardo Abreu, Elena Bachini, John Perez +1

We present a Lagrangian-Eulerian scheme to solve the shallow water equations in the case of spatially variable bottom geometry. Using a local curvilinear reference system anchored…

math.NA2022

Convergence analysis of the intrinsic surface finite element method

Elena Bachini, Mario Putti

The Intrinsic Surface Finite Element Method (ISFEM) was recently proposed to solve Partial Differential Equations (PDEs) on surfaces. ISFEM proceeds by writing the PDE with respect…

math.NA2022

Nodal domain count for the generalized graph -Laplacian

Piero Deidda, Mario Putti, Francesco Tudisco

Inspired by the linear Schrödinger operator, we consider a generalized -Laplacian operator on discrete graphs and present new results that characterize several spectral properti…

physics.soc-ph2021★ 8 cited

Infrastructure adaptation and emergence of loops in network routing with time-dependent loads

Alessandro Lonardi, Enrico Facca, Mario Putti +1

Network routing approaches are widely used to study the evolution in time of self-adapting systems. However, few advances have been made for problems where adaptation is governed b…

physics.soc-ph2021★ 13 cited

Multicommodity routing optimization for engineering networks

Alessandro Lonardi, Mario Putti, Caterina De Bacco

Optimizing passengers routes is crucial to design efficient transportation networks. Recent results show that optimal transport provides an efficient alternative to standard optimi…

cs.LG2021

Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs

Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil +3

Model reduction for fluid flow simulation continues to be of great interest across a number of scientific and engineering fields. In a previous work [arXiv:2104.13962], we explored…

math.NA2021★ 1 cited

Numerical Solution of the -Optimal Transport Problem on Surfaces

Luca Berti, Enrico Facca, Mario Putti

In this article we study the numerical solution of the -Optimal Transport Problem on 2D surfaces embedded in , via the DMK formulation introduced in [FaccaCardinPutti:201…

math.NA2021

Computing the Cut Locus of a Riemannian Manifold via Optimal Transport

Enrico Facca, Luca Berti, Francesco Fassó +1

In this paper, we give a new characterization of the cut locus of a point on a compact Riemannian manifold as the zero set of the optimal transport density solution of the Monge-Ka…

math.NA2021

Arbitrary-order intrinsic virtual element method for elliptic equations on surfaces

Elena Bachini, Gianmarco Manzini, Mario Putti

We develop a geometrically intrinsic formulation of the arbitrary-order Virtual Element Method (VEM) on polygonal cells for the numerical solution of elliptic surface partial diffe…

physics.soc-ph2020★ 16 cited

Designing optimal networks for multi-commodity transport problem

Alessandro Lonardi, Enrico Facca, Mario Putti +1

Designing and optimizing different flows in networks is a relevant problem in many contexts. While a number of methods have been proposed in the physics and optimal transport liter…

physics.soc-ph2020★ 16 cited

Network extraction by routing optimization

Diego Baptista, Daniela Leite, Enrico Facca +2

Routing optimization is a relevant problem in many contexts. Solving directly this type of optimization problem is often computationally unfeasible. Recent studies suggest that one…

physics.comp-ph2020★ 43 cited

A greedy non-intrusive reduced order model for shallow water equations

Sourav Dutta, Matthew W. Farthing, Emma Perracchione +2

In this work, we develop Non-Intrusive Reduced Order Models (NIROMs) that combine Proper Orthogonal Decomposition (POD) with a Radial Basis Function (RBF) interpolation method to c…

math.NA2018★ 7 cited

Physarum Dynamics and Optimal Transport for Basis Pursuit

Enrico Facca, Franco Cardin, Mario Putti

We study the connections between Physarum Dynamics and Dynamic Monge Kantorovich (DMK) Optimal Transport algorithms for the solution of Basis Pursuit problems. We show the equivale…

math.NA2018

Branching structures emerging from a continuous optimal transport model

Enrico Facca, Franco Cardin, Mario Putti

Recently a Dynamic-Monge-Kantorovich formulation of the PDE-based -optimal transport problem was presented. The model considers a diffusion equation enforcing the balance of t…

physics.flu-dyn2017★ 16 cited

Modeling Shallow Water Flows on General Terrains

Ilaria Fent, Mario Putti, Carlo Gregoretti +1

A formulation of the shallow water equations adapted to general complex terrains is proposed. Its derivation starts from the observation that the typical approach of depth integrat…

math.NA2017★ 39 cited

Numerical Solution of Monge-Kantorovich Equations via a dynamic formulation

Enrico Facca, Sara Daneri, Franco Cardin +1

We propose a biologically inspired dynamic model for the numerical solution of the -PDE based optimal transportation model.

math.NA2016★ 39 cited

Towards a stationary Monge-Kantorovich dynamics: the Physarum Polycephalum experience

Enrico Facca, Franco Cardin, Mario Putti

In this work we study and expand a model describing the dynamics of a unicellular slime mold, Physarum Polycephalum (PP), which was proposed to simulate the ability of PP to find t…