de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Thesis

A polynomial Time Randomized Parallel Approximation Algorithm for Finding Heavy Planar Subgraphs

MPS-Authors

Osipov,  Vitali
International Max Planck Research School, MPI for Informatics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Osipov, V. (2006). A polynomial Time Randomized Parallel Approximation Algorithm for Finding Heavy Planar Subgraphs. Master Thesis, Universität des Saarlandes, Saarbrücken.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0027-D5A8-7
Abstract
We provide an approximation algorithm for the Maximum Weight Planar Subgraph problem, the NP-hard problem of finding a heaviest planar subgraph in an edge-weighted graph G. In the general case our algorithm has performance ratio at least 1/3+1/72 matching the best algorithm known so far, though in several special cases we prove stronger results. In particular, we obtain performance ratio 2/3 (in- stead of 7/12) for the NP-hard Maximum Weight Outerplanar Sub- graph problem meeting the performance ratio of the best algorithm for the unweighted case. When the maximum weight planar subgraph is one of several special types of Hamiltonian graphs, we show performance ratios at least 2/5 and 4/9 (instead of 1/3 + 1/72), and 1/2 (instead of 4/9) for the unweighted case.