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arXiv:1401.7714cs.DS

Powers of Tensors and Fast Matrix Multiplication

François Le Gall

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Abstract

This paper presents a method to analyze the powers of a given trilinear form (a special kind of algebraic constructions also called a tensor) and obtain upper bounds on the asymptotic complexity of matrix multiplication. Compared with existing approaches, this method is based on convex optimization, and thus has polynomial-time complexity. As an application, we use this method to study powers of the construction given by Coppersmith and Winograd [Journal of Symbolic Computation, 1990] and obtain the upper bound $ω<2.3728639$ on the exponent of square matrix multiplication, which slightly improves the best known upper bound.

arXiv comments
28 pages
Journal reference
Proceedings of the 39th International Symposium on Symbolic and Algebraic Computation (ISSAC 2014), pp. 296-303, 2014
DOI
doi:10.1145/2608628.2627493
Subjects
cs.DSData Structures and Algorithms cs.CCComputational Complexity cs.SCSymbolic Computation

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