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20202026
most citedAdaptive hyper-reduction of non-sparse operators: application to parametric particle-based kinetic plasma models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA2026

Iterative thresholding low-rank time integration for high-dimensional problems

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier +1

This work analyzes a method for time integration of high-dimensional linear Schrödinger-type problems based on hierarchical tensor approximations. In particular, this method provid…

math.NA20251 cited

Adaptive hyper-reduction of non-sparse operators: application to parametric particle-based kinetic plasma models

Cecilia Pagliantini, Federico Vismara

This paper proposes an adaptive hyper-reduction method to reduce the computational cost associated with the simulation of parametric particle-based kinetic plasma models, specifica…

math.NA2023

Dynamical approximation and sensor placement for filtering problems

Olga Mula, Cecilia Pagliantini, Federico Vismara

We consider the inverse problem of reconstructing an unknown function from a finite set of measurements, under the assumption that is the trajectory of a transport-dominate…

math.NA2023

Fully adaptive structure-preserving hyper-reduction of parametric Hamiltonian systems

Cecilia Pagliantini, Federico Vismara

Model order reduction provides low-complexity high-fidelity surrogate models that allow rapid and accurate solutions of parametric differential equations. The development of reduce…

math.NA2020

A seamless, extended DG approach for advection-diffusion problems on unbounded domains

Federico Vismara, Tommaso Benacchio, Luca Bonaventura

We propose and analyze a seamless extended Discontinuous Galerkin (DG) discretization of advection-diffusion equations on semi-infinite domains. The semi-infinite half line is spli…