FPT approximation and subexponential algorithms for covering few or many edges

We study the alpha-Fixed Cardinality Graph Partitioning (alpha-FCGP) problem, the generic local graph partitioning problem introduced by Bonnet et al. [Algorithmica 2015]. In this problem, we are given a graph G, two numbers k,p and 0 <= alpha <= 1, the question is whether there is a set S subset of V of size k with a specified coverage function cov(alpha)(S) at least p (or at most p for the minimization version). The coverage function cov(alpha)(center dot) counts edges with exactly one endpoint in S with weight alpha and edges with both endpoints in S with weight 1-alpha. alpha-FCGP generalizes a number of fundamental graph problems such as Densest k-Subgraph, Max k-Vertex Cover, and Max (k, n-k)-CUT. A natural question in the study of alpha-FCGP is whether the algorithmic results known for its special cases, like Max k-VERTEX COVER, could be extended to more general settings. One of the simple but powerful methods for obtaining parameterized approximation [Manurangsi, SOSA 2019] and subexponential algorithms [Fomin et al. IPL 2011] for Max k-Vertex Cover is based on the greedy vertex degree orderings. The main insight of our work is that the idea of greedy vertex degree ordering could be used to design fixed-parameter approximation schemes (FPT-AS) for alpha>0 and subexponential-time algorithms for the problem on apex-minor free graphs for maximization with alpha > 1/3 and minimization with alpha < 1/3.(4)