30 mars 2022 à 1 avril 2022
Inria Bordeaux Sud Ouest
Fuseau horaire Europe/Paris

Tensor methods for high-dimensional problems and model reduction

1 avr. 2022, 10:20
50m
Ada Lovelace (Inria Bordeaux Sud Ouest)

Ada Lovelace

Inria Bordeaux Sud Ouest

200 avenue de la ville tour, 33405 TALENCE

Orateur

Dr Damiano Lombardi (Inria Paris)

Description

We present several contributions related to Tensor methods for high-dimensional problems and discuss how they are inherently related to model reduction.
In particular, we will show several ways to introduce a principle of adaptivity, making tensor representations more suitable to parsimoniously represent certain solutions sets. In the last part of the talk, a contribution on a possible way to exploit a tensor representation in state estimation is presented. In this, we show that variational and sequential state estimation methods can be derived after casting state estimation as an optimal recovery problem, using tensors to have a space-time representation of the solutions set.

Documents de présentation

Aucun document.