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Fast Multiplication and Sparse Structures

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Abstract

The applicability of fast multiplication algorithms to sparse structures is discussed. Estimates for the degree of sparseness of matrices and polynomials are given for which fast multiplication algorithms have advantages over standard multiplication algorithms in terms of the multiplicative complexity. Specifically, the Karatsuba and Strassen algorithms are studied under the assumption of the uniform distribution of zero elements.

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REFERENCES

  1. Karatsuba, A. and Ofman, Yu.P., Multiplication of Multivalued Numbers on Automata, Dokl. Akad. Nauk SSSR, 1962, vol. 145,no. 2, pp. 293–294.

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  2. Strassen, V., Gaussian Elimination Is Not Optimal, Numerische Mathematik, 1969, vol. 13, pp. 354–356.

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  3. Knuth, D.E., The Art of Computer Programming, vol. 2: Seminumerical Algorithms, Reading: Addison-Wesley, 1969. Translated under the title Iskusstvo programmirovaniya dlya EVM, tom 2: Poluchislennye algoritmy, Moscow: Mir, 1977.

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Malaschonok, G.I., Satina, E.S. Fast Multiplication and Sparse Structures. Programming and Computer Software 30, 105–109 (2004). https://doi.org/10.1023/B:PACS.0000021269.20049.0f

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  • DOI: https://doi.org/10.1023/B:PACS.0000021269.20049.0f

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