4 research outputs found
Parameterized Complexity of Maximum Edge Colorable Subgraph
A graph is {\em -edge colorable} if there is a coloring , such that for distinct , we have
. The {\sc Maximum Edge-Colorable Subgraph} problem
takes as input a graph and integers and , and the objective is to
find a subgraph of and a -edge-coloring of , such that . We study the above problem from the viewpoint of Parameterized
Complexity. We obtain \FPT\ algorithms when parameterized by: the vertex
cover number of , by using {\sc Integer Linear Programming}, and ,
a randomized algorithm via a reduction to \textsc{Rainbow Matching}, and a
deterministic algorithm by using color coding, and divide and color. With
respect to the parameters , where is one of the following: the
solution size, , the vertex cover number of , and l -
{\mm}(G), where {\mm}(G) is the size of a maximum matching in ; we show
that the (decision version of the) problem admits a kernel with vertices. Furthermore, we show that there is no kernel of size
, for any and computable
function , unless \NP \subseteq \CONPpoly
Maximum Edge-Colorable Subgraph and Strong Triadic Closure Parameterized by Distance to Low-Degree Graphs
Given an undirected graph and integers and , the Maximum
Edge-Colorable Subgraph problem asks whether we can delete at most edges in
to obtain a graph that has a proper edge coloring with at most colors.
We show that Maximum Edge-Colorable Subgraph admits, for every fixed , a
linear-size problem kernel when parameterized by the edge deletion distance of
to a graph with maximum degree . This parameterization measures the
distance to instances that, due to Vizing's famous theorem, are trivial
yes-instances. For , we also provide a linear-size kernel for the same
parameterization for Multi Strong Triadic Closure, a related edge coloring
problem with applications in social network analysis. We provide further
results for Maximum Edge-Colorable Subgraph parameterized by the vertex
deletion distance to graphs where every component has order at most and for
the list-colored versions of both problems.Comment: 32 Page
LIPIcs, Volume 261, ICALP 2023, Complete Volume
LIPIcs, Volume 261, ICALP 2023, Complete Volum