Approximation Algorithms for Restricted Cycle Covers Based on Cycle Decompositions

Computer Science – Data Structures and Algorithms

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

This paper has been joint with "On Approximating Restricted Cycle Covers" (cs.CC/0504038). Please refer to that paper. The pap

Scientific paper

A cycle cover of a graph is a set of cycles such that every vertex is part of exactly one cycle. An L-cycle cover is a cycle cover in which the length of every cycle is in the set L. The weight of a cycle cover of an edge-weighted graph is the sum of the weights of its edges. We come close to settling the complexity and approximability of computing L-cycle covers. On the one hand, we show that for almost all L, computing L-cycle covers of maximum weight in directed and undirected graphs is APX-hard and NP-hard. Most of our hardness results hold even if the edge weights are restricted to zero and one. On the other hand, we show that the problem of computing L-cycle covers of maximum weight can be approximated within a factor of 2 for undirected graphs and within a factor of 8/3 in the case of directed graphs. This holds for arbitrary sets L.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Approximation Algorithms for Restricted Cycle Covers Based on Cycle Decompositions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Approximation Algorithms for Restricted Cycle Covers Based on Cycle Decompositions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Approximation Algorithms for Restricted Cycle Covers Based on Cycle Decompositions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-721120

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.