On the Parameterized Complexity of Contraction to Generalization of Trees
Akanksha Agrawal, Saket Saurabh, Prafullkumar Tale

TL;DR
This paper investigates the parameterized complexity of contracting graphs to a family close to trees, introducing an FPT algorithm for the problem and a lossy kernel, while also proving the non-existence of a polynomial kernel.
Contribution
It introduces the $ ext{T}_ ext{ell}$-Contraction problem, provides an FPT algorithm, and develops a lossy kernel, extending contraction problems to a broader class of graphs.
Findings
FPT algorithm with runtime $ ext{O}((2\sqrt{ ext{ell}})^{ ext{O}(k + ext{ell})} ext{·} n^{ ext{O}(1)}$
No polynomial kernel exists for the problem when parameterized by $k$
A size-bounded lossy kernel is constructed for $ ext{T}_ ext{ell}$-Contraction
Abstract
For a family of graphs , the -Contraction problem takes as an input a graph and an integer , and the goal is to decide if there exists of size at most such that belongs to . Here, is the graph obtained from by contracting all the edges in . Heggernes et al.~[Algorithmica (2014)] were the first to study edge contraction problems in the realm of Parameterized Complexity. They studied -Contraction when is a simple family of graphs such as trees and paths. In this paper, we study the -Contraction problem, where generalizes the family of trees. In particular, we define this generalization in a "parameterized way". Let be the family of graphs such that each graph in can be made into a tree by deleting at most edges. Thus, the problem…
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