The Tensor Rank of 5x5 Matrices Multiplication is Bounded by 98 andIts Border Rank by 89 - CRIStAL - Calcul Formel et Haute Performance
Communication Dans Un Congrès Année : 2021

The Tensor Rank of 5x5 Matrices Multiplication is Bounded by 98 andIts Border Rank by 89

Résumé

We present a non-commutative algorithm for the product of 3 x 5 by 5 x 5 matrices using 58 multiplications. This algorithm allows to construct a non-commutative algorithm for multiplying 5 x 5 (resp. 10 x 10, 15 x 15) matrices using 98 (resp. 686, 2088) multiplications. Furthermore, we describe an approximate algorithm that requires 89 multiplications and computes this product with an arbitrary small error.
Fichier principal
Vignette du fichier
2101.12568.pdf (618.75 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04285141 , version 1 (14-11-2023)

Identifiants

Citer

Alexandre Sedoglavic, Alexey Smirnov. The Tensor Rank of 5x5 Matrices Multiplication is Bounded by 98 andIts Border Rank by 89. ISSAC '21: International Symposium on Symbolic and Algebraic Computation, Jul 2021, Saint Petersburg, Russia. pp.345-351, ⟨10.1145/3452143.3465537⟩. ⟨hal-04285141⟩
56 Consultations
59 Téléchargements

Altmetric

Partager

More