An Optimal Local Approximation Algorithm for Max-Min Linear Programs

被引：0

作者：

Floreen, Patrik ^{[1
]}

Kaasinen, Joel ^{[1
]}

Kaski, Petteri ^{[1
]}

Suomela, Jukka ^{[1
]}

机构：

[1] Univ Helsinki, HIIT, FI-00014 Helsinki, Finland

来源：

SPAA'09: PROCEEDINGS OF THE TWENTY-FIRST ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES | 2009年

关键词：

PLANAR GRAPHS;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In a max-min LP, the objective is to maximise omega subject to Ax <= 1, Cx >= omega 1, and x >= 0 for nonnegative matrices A and C. We present a local algorithm (constant-time distributed algorithm) for approximating max-min Us. The approximation ratio Of Our algorithm is the best possible for any local algorithm; there is a matching unconditional lower bound.

引用

页码：260 / 269

页数：10

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