On the complexity of Multipacking
Sandip Das, Sk Samim Islam, Daniel Lokshtanov

TL;DR
This paper proves that the Multipacking problem is NP-complete and W[2]-hard for undirected graphs, resolving an open question, and provides an improved exponential-time algorithm with a running time of O*(1.58^n).
Contribution
It establishes NP-completeness and W[2]-hardness of the Multipacking problem for undirected graphs, and introduces a faster exact exponential algorithm.
Findings
NP-complete for undirected graphs
W[2]-hard when parameterized by solution size
Exact algorithm with O*(1.58^n) running time
Abstract
A multipacking in an undirected graph is a set such that for every vertex and for every integer , the ball of radius around contains at most vertices of , that is, there are at most vertices in at a distance at most from in . The Multipacking problem asks whether a graph contains a multipacking of size at least . For more than a decade, it remained an open question whether the Multipacking problem is NP-complete or solvable in polynomial time. Whereas the problem is known to be polynomial-time solvable for certain graph classes (e.g., strongly chordal graphs, grids, etc). Foucaud, Gras, Perez, and Sikora [Algorithmica 2021] made a step towards solving the open question by showing that the Multipacking problem is NP-complete for directed graphs and it is W[1]-hard when parameterized by the solution size. In…
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Taxonomy
TopicsAdvanced Graph Theory Research · Interconnection Networks and Systems · Complexity and Algorithms in Graphs
