A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bucci, Alberto, Robol, Leonardo
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866914766102986752
author Bucci, Alberto
Robol, Leonardo
author_facet Bucci, Alberto
Robol, Leonardo
contents The Nyström method offers an effective way to obtain low-rank approximation of SPD matrices, and has been recently extended and analyzed to nonsymmetric matrices (leading to the generalized Nyström method). It is a randomized, single-pass, streamable, cost-effective, and accurate alternative to the randomized SVD, and it facilitates the computation of several matrix low-rank factorizations. In this paper, we take these advancements a step further by introducing a higher-order variant of Nyström's methodology tailored to approximating low-rank tensors in the Tucker format: the multilinear Nyström technique. We show that, by introducing appropriate small modifications in the formulation of the higher-order method, strong stability properties can be obtained. This algorithm retains the key attributes of the generalized Nyström method, positioning it as a viable substitute for the randomized higher-order SVD algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2309_02877
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
Bucci, Alberto
Robol, Leonardo
Numerical Analysis
15A69, 65F55
The Nyström method offers an effective way to obtain low-rank approximation of SPD matrices, and has been recently extended and analyzed to nonsymmetric matrices (leading to the generalized Nyström method). It is a randomized, single-pass, streamable, cost-effective, and accurate alternative to the randomized SVD, and it facilitates the computation of several matrix low-rank factorizations. In this paper, we take these advancements a step further by introducing a higher-order variant of Nyström's methodology tailored to approximating low-rank tensors in the Tucker format: the multilinear Nyström technique. We show that, by introducing appropriate small modifications in the formulation of the higher-order method, strong stability properties can be obtained. This algorithm retains the key attributes of the generalized Nyström method, positioning it as a viable substitute for the randomized higher-order SVD algorithm.
title A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
topic Numerical Analysis
15A69, 65F55
url https://arxiv.org/abs/2309.02877