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math.NA2022
Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems
A. Beguinet, V. Ehrlacher, R. Flenghi +3
Deep learning-based numerical schemes such as Physically Informed Neural Networks (PINNs) have recently emerged as an alternative to classical numerical schemes for solving Partial…
math.NA2020
CP-TT: using TT-SVD to greedily construct a Canonical Polyadic tensor approximation
Virginie Ehrlacher, Maria Fuente Ruiz, Damiano Lombardi
In the present work, a method is proposed in order to compute a Canonical Polyadic (CP) approximation of a given tensor. It is based on a greedy method and an adaptation of the TT-…