Graph explorer

Planarity Testing Revisited

Planarity Testing is the problem of determining whether a given graph is planar while planar embedding is the corresponding construction problem. The bounded space complexity of these problems has been determined to be exactly Logspace by Allender and Mahajan with the aid of Reingold's result. Unfortunately, the algorithm is quite daunting and generalizing it to say, the bounded genus case seems a tall order. In this work, we present a simple planar embedding algorithm running in logspace. We hope this algorithm will be more amenable to generalization. The algorithm is based on the fact that 3-connected planar graphs have a unique embedding, a variant of Tutte's criterion on conflict graphs of cycles and an explicit change of cycle basis.% for planar graphs. We also present a logspace algorithm to find obstacles to planarity, viz. a Kuratowski minor, if the graph is non-planar. To the best of our knowledge this is the first logspace algorithm for this problem.

5 nodes5 linksoverview mapPlanarity Testing Revisited
5 nodes5 links
Planarity Testing Revisited5 visible / 5 total nodes / 6 links
Co-authorshipRelated contextAuthorshipAuthorshipTopic signalTopic signalWPlanarity Testing Revisitedpreprint / 2011ASamir DattaResearcherAGautam PrakriyaResearcherTData Structures and Alg...3564 worksTComputational Complexity1354 works
PaperSignal 104 links

Planarity Testing Revisited

preprint / 2011

Open