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This article is cited in 66 scientific papers (total in 66 papers)
The bilinear complexity and practical algorithms for matrix multiplication
A. V. Smirnov Department of Justice, Russian Federal Center of Forensic Science, Khokhlovskii pereul. 13-2, Moscow, 109028, Russia
Abstract:
A method for deriving bilinear algorithms for matrix multiplication is proposed. New estimates for the bilinear complexity of a number of problems of the exact and approximate multiplication of rectangular matrices are obtained. In particular, the estimate for the boundary rank of multiplying $3\times 3$ matrices is improved and a practical algorithm for the exact multiplication of square $n\times n$ matrices is proposed. The asymptotic arithmetic complexity of this algorithm is $O(n^{2.7743})$.
Key words:
bilinear complexity, rank of the matrix multiplication problem, boundary rank, algorithms for exact and approximate matrix multiplication, least-squares method, objective function.
Received: 19.03.2013 Revised: 04.06.2013
Citation:
A. V. Smirnov, “The bilinear complexity and practical algorithms for matrix multiplication”, Zh. Vychisl. Mat. Mat. Fiz., 53:12 (2013), 1970–1984; Comput. Math. Math. Phys., 53:12 (2013), 1781–1795
Linking options:
https://www.mathnet.ru/eng/zvmmf9955 https://www.mathnet.ru/eng/zvmmf/v53/i12/p1970
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