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