Name
Abstract | ||
|---|---|---|
We present new algorithms to detect and correct errors in the lower-upper factorization of a matrix, or the triangular linear system solution, over an arbitrary field. Our main algorithms do not require any additional information or encoding other than the original inputs and the erroneous output. Their running time is softly linear in the dimension times the number of errors when there are few errors, smoothly growing to the cost of fast matrix multiplication as the number of errors increases. We also present applications to general linear system solving.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3326229.3326244 | Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation |
Keywords | DocType | Volume |
algorithms, error correction, linear algebra, matrix factorization, sparse interpolation | Conference | abs/1901.10730 |
ISBN | Citations | PageRank |
978-1-4503-6084-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Guillaume Dumas | 1 | 428 | 68.48 |
| Joris van der Hoeven | 2 | 392 | 49.22 |
| Clément Pernet | 3 | 243 | 39.00 |
| Daniel Roche | 4 | 0 | 1.69 |