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Related papers: A Note on the Group-theoretic Approach to Fast Mat…

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In 2003 COHN and UMANS introduced a group-theoretic approach to fast matrix multiplication. This involves finding large subsets of a group $G$ satisfying the Triple Product Property (TPP) as a means to bound the exponent $\omega$ of matrix…

Group Theory · Mathematics 2015-03-25 Ivo Hedtke

In 2003 COHN and UMANS introduced a group-theoretic approach to fast matrix multiplication. This involves finding large subsets of a group $G$ satisfying the Triple Product Property (TPP) as a means to bound the exponent $\omega$ of matrix…

Group Theory · Mathematics 2012-05-03 Ivo Hedtke , Sandeep Murthy

We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and Umans, and for the first time use it to derive algorithms asymptotically faster than the standard algorithm. We describe several families…

Group Theory · Mathematics 2012-03-15 Henry Cohn , Robert Kleinberg , Balazs Szegedy , Christopher Umans

We describe certain special consequences of certain elementary methods from group theory for studying the algebraic complexity of matrix multiplication, as developed by H. Cohn, C. Umans et. al. in 2003 and 2005. The measure of complexity…

Data Structures and Algorithms · Computer Science 2026-01-01 Sandeep Murthy

In the context of group-theoretic fast matrix multiplication the TPP capacity is used to bound the exponent $\omega$ of matrix multiplication. We prove a new and sharper upper bound for the TPP subgroup capacity of a finite group

Group Theory · Mathematics 2011-08-01 Ivo Hedtke

The Cohn-Umans (FOCS '03) group-theoretic framework for matrix multiplication produces fast matrix multiplication algorithms from three subsets of a finite group $G$ satisfying a simple combinatorial condition (the Triple Product Property).…

Group Theory · Mathematics 2025-08-20 Jonah Blasiak , Henry Cohn , Joshua A. Grochow , Kevin Pratt , Chris Umans

We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There are two components to this approach: (1) identifying groups G that admit a certain type of embedding of matrix multiplication into the group…

Group Theory · Mathematics 2012-03-15 Henry Cohn , Christopher Umans

We present a new fast search algorithm for <m,m,m> Triple Product Property (TPP) triples as defined by Cohn and Umans in 2003. The new algorithm achieves a speed-up factor of 40 up to 194 in comparison to the best known search algorithm.…

Group Theory · Mathematics 2013-05-03 Sarah Hart , Ivo Hedtke , Matthias Müller-Hannemann , Sandeep Murthy

In 2003, Cohn and Umans proposed a group-theoretic approach to bounding the exponent of matrix multiplication. Previous work within this approach ruled out certain families of groups as a route to obtaining $\omega = 2$, while other…

Group Theory · Mathematics 2022-04-11 Jonah Blasiak , Henry Cohn , Joshua A. Grochow , Kevin Pratt , Chris Umans

In 2003, Cohn and Umans described a framework for proving upper bounds on the exponent $\omega$ of matrix multiplication by reducing matrix multiplication to group algebra multiplication, and in 2005 Cohn, Kleinberg, Szegedy, and Umans…

We perform forward error analysis for a large class of recursive matrix multiplication algorithms in the spirit of [D. Bini and G. Lotti, Stability of fast algorithms for matrix multiplication, Numer. Math. 36 (1980), 63--72]. As a…

Numerical Analysis · Mathematics 2007-05-23 James Demmel , Ioana Dumitriu , Olga Holtz , Robert Kleinberg

We deduce some elementary pairwise disjointness and semi-disjointness conditions on triples of subsets in arbitrary groups satisfying the so-called triple product property (TPP) as originally defined by H. Cohn and C. Umans in 2003. This…

Group Theory · Mathematics 2025-12-30 Sandeep Murthy

A number of upper bounds are proved relating to the triple product property (TPP) for subgroups of finite nilpotent groups of class $2$. The TPP is the property defined for three non-empty subsets $S, T, U$ of a group $G$ that the group…

Group Theory · Mathematics 2026-02-18 Sandeep R. Murthy

A generalization of recent group-theoretic matrix multiplication algorithms to an analogue of the theory of partial matrix multiplication is presented. We demonstrate that the added flexibility of this approach can in some cases improve…

Computational Complexity · Computer Science 2009-02-17 Richard Strong Bowen , Bo Chen , Hendrik Orem , Martijn van Schaardenburg

Cohn and Umans proposed a framework for developing fast matrix multiplication algorithms based on the embedding computation in certain groups algebras. In subsequent work with Kleinberg and Szegedy, they connected this to the search for…

Computational Complexity · Computer Science 2023-01-03 Matthew Anderson , Zongliang Ji , Anthony Yang Xu

We introduce a relaxation of the notion of tensor rank, called s-rank, and show that upper bounds on the s-rank of the matrix multiplication tensor imply upper bounds on the ordinary rank. In particular, if the "s-rank exponent of matrix…

Numerical Analysis · Mathematics 2013-01-01 Henry Cohn , Christopher Umans

Three non-empty subsets $S,T,U$ of a group $G$ are said to satisfy the triple product property (TPP) if, for elements $s,s' \in S$, and $t,t' \in T$, and $u,u' \in U$, the equation $s's^{-1}t't^{-1}u'u^{-1}=1$ holds if and only if $s = s'$,…

Group Theory · Mathematics 2026-01-12 Sandeep R. Murthy

We advance the Cohn-Umans framework for developing fast matrix multiplication algorithms. We introduce, analyze, and search for a new subclass of strong uniquely solvable puzzles (SUSP), which we call simplifiable SUSPs. We show that these…

Computational Complexity · Computer Science 2023-07-18 Matthew Anderson , Vu Le

We study the known techniques for designing Matrix Multiplication algorithms. The two main approaches are the Laser method of Strassen, and the Group theoretic approach of Cohn and Umans. We define a generalization based on zeroing outs…

Computational Complexity · Computer Science 2018-10-23 Josh Alman , Virginia Vassilevska Williams

Duan, Wu and Zhou (FOCS 2023) recently obtained the improved upper bound on the exponent of square matrix multiplication $\omega<2.3719$ by introducing a new approach to quantify and compensate the ``combination loss" in prior analyses of…

Data Structures and Algorithms · Computer Science 2023-12-29 François Le Gall
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