24 citations · 47 across the 7 of their papers we have counts for
8 papers
Deterministic and stochastic particle methods for the Fokker-Planck equation in S--formulation with application to point set registration
Klaas Willems, Angelo Iollo, Giovanni Russo +1
We present two particle methods for point set registration in bounded domains based on the Fokker-Planck equation. The first method relies on a moving least squares discretization…
Parametric vector flows for registration fields in bounded domains with applications to nonlinear interpolation of shock-dominated flows
Jon Labatut, Jean-Baptiste Chapelier, Angelo Iollo +1
We present a registration procedure for parametric model order reduction (MOR) in two- and three-dimensional bounded domains. In the MOR framework, registration methods exploit sol…
Mathematical aspects of registration methods in bounded domains
Angelo Iollo, Jon Labatut, Pierre Mounoud +1
Registration methods in bounded domains have received significant attention in the model reduction literature, as a valuable tool for nonlinear approximation. The aim of this work…
Point-set registration in bounded domains via the Fokker-Planck equation
Angelo Iollo, Tommaso Taddei
We present a point set registration method in bounded domains based on the solution to the Fokker Planck equation. Our approach leverages (i) density estimation based on Gaussian m…
Model order reduction by convex displacement interpolation
Simona Cucchiara, Angelo Iollo, Tommaso Taddei +1
We present a nonlinear interpolation technique for parametric fields that exploits optimal transportation of coherent structures of the solution to achieve accurate performance. Th…
A one-shot overlapping Schwarz method for component-based model reduction: application to nonlinear elasticity
Angelo Iollo, Giulia Sambataro, Tommaso Taddei
We propose a component-based (CB) parametric model order reduction (pMOR) formulation for parameterized nonlinear elliptic partial differential equations (PDEs) based on overlappin…
A projection-based model reduction method for nonlinear mechanics with internal variables: application to thermo-hydro-mechanical systems
Angelo Iollo, Giulia Sambataro, Tommaso Taddei
We propose a projection-based monolithic model order reduction (MOR) procedure for a class of problems in nonlinear mechanics with internal variables. The work is is motivated by a…
Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models
Angelo Iollo, Tommaso Taddei
We present a general (i.e., independent of the underlying model) interpolation technique based on optimal transportation of Gaussian models for parametric advection-dominated probl…