Effective Lower Bounds on the Matrix Rank and Their Applications
Author:
Publisher
Pleiades Publishing Ltd
Subject
Software
Link
https://link.springer.com/content/pdf/10.1134/S0361768823020160.pdf
Reference27 articles.
1. Gevorkyan, M.N., Korolkova, A.V., Kulyabov, D.S., and Sevast’yanov, L.A., A modular extension for a computer algebra system, Program. Comput. Software, 2020, vol. 46, no. 2, pp. 98–104.
2. Chistov, A.L., Fast parallel calculation of the rank of matrices over a field of arbitrary characteristic, Lect. Notes Comput. Sci., 1985, vol. 199, pp. 63–69. https://doi.org/10.1007/BFb0028792
3. Mulmuley, K., A fast parallel algorithm to compute the rank of a matrix over an arbitrary field, Combinatorica, 1987, vol. 7, no. 1, pp. 101–104. https://doi.org/10.1007/BF02579205
4. Malaschonok, G. and Tchaikovsky, I., About big matrix inversion, Comput. Algebra, Abramov, S.A. and Sevastyanov, L.A., Eds., Moscow: MAKS Press, 2021, pp. 81–84. https://doi.org/10.29003/m2019.978-5-317-06623-9
5. Malaschonok, G.I. and Sidko, A.A., Supercomputer environment for recursive matrix algorithms, Program. Comput. Software, 2022, vol. 48, pp. 90–101.
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