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We propose a strategy for the generation of fast and accurate versions of non-commutative recursive matrix multiplication algorithms. To generate these algorithms, we consider matrix and tensor norm bounds governing the stability and…

Numerical Analysis · Mathematics 2025-06-25 Jean-Guillaume Dumas , Clément Pernet , Alexandre Sedoglavic

The main purpose of this paper is pedagogical. Despite its importance, all proofs of the correctness of Strassen's famous 1969 algorithm to multiply two 2x2 matrices with only seven multiplications involve some basis-dependent calculations…

Data Structures and Algorithms · Computer Science 2019-11-11 Christian Ikenmeyer , Vladimir Lysikov

It is known that the multiplication of an $N \times M$ matrix with an $M \times P$ matrix can be performed using fewer multiplications than what the naive $NMP$ approach suggests. The most famous instance of this is Strassen's algorithm for…

Artificial Intelligence · Computer Science 2023-07-18 Arnaud Deza , Chang Liu , Pashootan Vaezipoor , Elias B. Khalil

The Strassen algorithm and Winograd's variant accelerate matrix multiplication by using fewer arithmetic operations than standard matrix multiplication. Although many papers have been published to accelerate single- as well as…

Numerical Analysis · Mathematics 2015-10-27 Tomonori Kouya

We propose a more accurate variant of an algorithm for multiplying 4x4 matrices using 48 multiplications over any ring containing an inverse of 2. This algorithm has an error bound exponent of only log 4 $\gamma$$\infty$,2 $\approx$ 2.386.…

Data Structures and Algorithms · Computer Science 2026-03-20 Jean-Guillaume Dumas , Clément Pernet , Alexandre Sedoglavic

Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar operations than the classical algorithm, have been considered primarily of theoretical interest. Apart from Strassen's original algorithm, few…

Numerical Analysis · Computer Science 2016-07-26 Grey Ballard , Austin R. Benson , Alex Druinsky , Benjamin Lipshitz , Oded Schwartz

The quest for non-commutative matrix multiplication algorithms in small dimensions has seen a lot of recent improvements recently. In particular, the number of scalar multiplications required to multiply two $4\times4$ matrices was first…

Symbolic Computation · Computer Science 2025-11-27 Jean-Guillaume Dumas , Clément Pernet , Alexandre Sedoglavic

We present a non-commutative algorithm for the multiplication of a 2 x 2 block-matrix by its adjoint, defined by a matrix ring anti-homomorphism. This algorithm uses 5 block products (3 recursive calls and 2 general products)over C or in…

Symbolic Computation · Computer Science 2021-01-05 Jean-Guillaume Dumas , Clément Pernet , Alexandre Sedoglavic

We give a short proof for Strassen's result that the rank of the 2 by 2 matrix multiplication tensor is at most 7. The proof requires no calculations and also no pattern matching or other type of nontrivial verification, and is based solely…

Data Structures and Algorithms · Computer Science 2025-03-10 Christian Ikenmeyer , Jakob Moosbauer

In 1969, Strassen shocked the world by showing that two n x n matrices could be multiplied in time asymptotically less than $O(n^3)$. While the recursive construction in his algorithm is very clear, the key gain was made by showing that 2 x…

Data Structures and Algorithms · Computer Science 2017-09-01 Joshua A. Grochow , Cristopher Moore

Fast matrix multiplication can be described as searching for low-rank decompositions of the matrix--multiplication tensor. We design a neural architecture, \textsc{StrassenNet}, which reproduces the Strassen algorithm for $2\times 2$…

Fast matrix multiplication algorithms may be useful, provided that their running time is good in practice. Particularly, the leading coefficient of their arithmetic complexity needs to be small. Many sub-cubic algorithms have large leading…

Data Structures and Algorithms · Computer Science 2020-08-11 Gal Beniamini , Nathan Cheng , Olga Holtz , Elaye Karstadt , Oded Schwartz

Karppa & Kaski (2019) proposed a novel ``broken" or ``opportunistic" matrix multiplication algorithm, based on a variant of Strassen's algorithm, and used this to develop new algorithms for Boolean matrix multiplication, among other tasks.…

Data Structures and Algorithms · Computer Science 2024-09-05 David G. Harris

We present an algorithm to reduce the computational effort for the multiplication of a given matrix with an unknown column vector. The algorithm decomposes the given matrix into a product of matrices whose entries are either zero or integer…

Information Theory · Computer Science 2020-02-28 Ralf R. Müller , Bernhard Gäde , Ali Bereyhi

In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. The proposed method is based on using two distinct Strassen-like algorithms instead of replicating a given one. We have realized that using…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-11 Osman B. Guney , Suayb S. Arslan

We present a non-commutative algorithm for the multiplication of a 2x2-block-matrix by its transpose using 5 block products (3 recursive calls and 2 general products) over C or any finite field.We use geometric considerations on the space…

Symbolic Computation · Computer Science 2020-07-16 Jean-Guillaume Dumas , Clement Pernet , Alexandre Sedoglavic

After Strassen presented the first sub-cubic matrix multiplication algorithm, many Strassen-like algorithms are presented. Most of them with low asymptotic cost have large hidden leading coefficient which are thus impractical. To reduce the…

Symbolic Computation · Computer Science 2022-03-31 Pu Wu , Huiqing Jiang , Zehui Shao , Jin Xu

We present explicit algorithms for computing structured matrix-vector products that are optimal in the sense of Strassen, i.e., using a provably minimum number of multiplications. These structures include Toeplitz/Hankel/circulant,…

Numerical Analysis · Mathematics 2016-03-23 Ke Ye , Lek-Heng Lim

The goal of this article is to study algorithms that compute the product between two matrixes, specifically using the ingenuous methods of Strassen and Strassen-Winograd, which will be presented in Section 2. At present, the cited methods…

Symbolic Computation · Computer Science 2023-09-06 M. S. O. Poloi , T. O. Quinelato

In 1969 Strassen showed surprisingly that it is possible to multiply two 2 x 2 matrices using seven multiplications and 18 additions, instead of the naive eight multiplications and four additions. The number of additions was later reduced…

Symbolic Computation · Computer Science 2026-01-12 Erik Mårtensson , Paul Stankovski Wagner , Joshua Stapleton
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