Sammanfattning
In a max-min LP, the objective is to maximise ω subject to Ax ≤ 1, Cx ≥ ω1, and x ≥ 0 for nonnegative matrices A and C. We present a local algorithm (constant-time distributed algorithm) for approximating max-min LPs. The approximation ratio of our algorithm is the best possible for any local algorithm; there is a matching unconditional lower bound.
Originalspråk | engelska |
---|---|
Titel på gästpublikation | SPAA’09 : Proceedings of the Twenty-First Annual Symposium on Parallelism in Algorithms and Architectures. August 11–13, 2009. Calgary, Alberta, Canada |
Redaktörer | Friedhelm Meyer auf der Heide, Michael A. Bender |
Antal sidor | 10 |
Förlag | ACM |
Utgivningsdatum | 2009 |
Sidor | 260-269 |
ISBN (tryckt) | 978-1-60558-606-9 |
DOI | |
Status | Publicerad - 2009 |
MoE-publikationstyp | A4 Artikel i en konferenspublikation |
Evenemang | 21st ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) - Calgary, Kanada Varaktighet: 11 aug 2009 → 13 aug 2009 |
Vetenskapsgrenar
- 113 Data- och informationsvetenskap