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Matrix rounding with low error in small submatrices

  • Christian-Albrechts-University Kiel

Research output: Contribution to conferencePaperpeer-review

Abstract

We show that any real valued matrix A can be rounded to an integer one B such that the error in all 2 × 2 (geometric) submatrices is less than 1.5, that is, we have |aij - bij| < 1 and | Σk=ii+1 Σl=jj+1 (a kl - bkl)| < 1.5 for all i, j. More precisely, an error of less than 1.5 - 3-2mn + 3-d+1 can be achieved in time O (mnd).

Original languageEnglish
Pages1067-1068
Number of pages2
Publication statusPublished - 1 Jul 2005
Externally publishedYes
EventSixteenth Annual ACM-SIAM Symposium on Discrete Algorithms - Vancouver, BC, United States
Duration: 23 Jan 200525 Jan 2005

Conference

ConferenceSixteenth Annual ACM-SIAM Symposium on Discrete Algorithms
Country/TerritoryUnited States
CityVancouver, BC
Period23/01/0525/01/05

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