LU factorization with errors

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationISSAC 2019 - Proceedings of the 2019 ACM International Symposium on Symbolic and Algebraic Computation
PublisherAssociation for Computing Machinery
Pages131-138
Number of pages8
ISBN (Electronic)9781450360845
DOIs
Publication statusPublished - 8 Jul 2019
Event44th ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2019 - Beijing, China
Duration: 15 Jul 201918 Jul 2019

Publication series

NameProceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC

Conference

Conference44th ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2019
Country/TerritoryChina
CityBeijing
Period15/07/1918/07/19

Keywords

  • Algorithms
  • Error correction
  • Linear algebra
  • Matrix factorization
  • Sparse interpolation

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