Abstract
For fixed integers , a graph is called an {\em -graph} if the vertex set can be partitioned into independent sets and cliques. This brings us to the following natural parameterized questions: {\sc Vertex -Partization} and {\sc Edge -Partization}. An input to these problems consist of a graph and a positive integer and the objective is to decide whether there exists a set () such that the deletion of from results in an -graph. These problems generalize well studied problems such as {\sc Odd Cycle Transversal}, {\sc Edge Odd Cycle Transversal}, {\sc Split Vertex Deletion} and {\sc Split Edge Deletion}. We do not hope to get parameterized algorithms for either {\sc Vertex -Partization} or {\sc Edge -Partization} when either of or is at least as the recognition problem itself is NP-complete. This leaves the case of . We almost complete the parameterized complexity dichotomy for these problems. Only the parameterized complexity of {\sc Edge -Partization} remains open. We also give an approximation algorithm and a Turing kernelization for {\sc Vertex -Partization}. We use an interesting finite forbidden induced graph characterization, for a class of graphs known as -split graphs, properly containing the class of -graphs. This approach to obtain approximation algorithms could be of an independent interest.
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