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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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