Approximation algorithms for disjoint paths and related routing and packing problems

成果类型:
Article
署名作者:
Baveja, A; Srinivasan, A
署名单位:
Rutgers University System; Rutgers University Camden; Rutgers University New Brunswick; Alcatel-Lucent; Lucent Technologies; AT&T
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.25.2.255.12228
发表日期:
2000
页码:
255-280
关键词:
expander graphs selection networks
摘要:
Given a network and a set of connection requests on it, we consider the maximum edge-disjoint paths and related generalizations and routing problems that arise in assigning paths for these requests. We present improved approximation algorithms and/or integrality gaps for all problems considered; the central theme of this work is the underlying multicommodity flow relaxation. Applications of these techniques to approximating families of packing integer programs are also presented.