An Improved Time-Efficient Approximate Kernelization for Connected Treedepth Deletion Set

12/01/2022
by   Eduard Eiben, et al.
0

We study the CONNECTED η-TREEDEPTH DELETION problem where the input instance is an undireted graph G = (V, E) and an integer k. The objective is to decide if G has a set S ⊆V(G) of at most k vertices such that G - S has treedepth at most ηand G[S] is connected. As this problem naturally generalizes the well-known CONNECTED VERTEX COVER, when parameterized by solution size k, the CONNECTED η-TREEDEPTH DELETION does not admit polynomial kernel unless NP ⊆coNP/poly. This motivates us to design an approximate kernel of polynomial size for this problem. In this paper, we show that for every 0 < ϵ<= 1, CONNECTED η-TREEDEPTH DELETION SET admits a (1+ϵ)-approximate kernel with O(k^2^η+ 1/ϵ) vertices, i.e. a polynomial-sized approximate kernelization scheme (PSAKS).

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro