LAUSR

Following the recent trends of designing space efficient algorithms for fundamental algorithmic graph problems, we present several time-space tradeoffs for performing maximum cardinality search (MCS), stack breadth first search, and queue breadth first search on a given input graph. As applications of these results, we also provide space-efficient implementations for testing if a given undirected graph is chordal, reporting an independent set, and a proper coloring of a given chordal graph among others. Finally, we also show how two other seemingly different graph problems and their algorithms have surprising connection with MCS with respect to designing space efficient algorithms.