Revisiting the Complexity of And/Or Graph Solution
Maise Dantas da Silva, F\'abio Protti, U\'everton dos Santos, Souza

TL;DR
This paper investigates the computational complexity of optimization problems on and/or and x-y graphs, revealing their NP-hardness and exploring fixed-parameter tractability under various constraints.
Contribution
It provides new complexity results for Min-and/or and Min-x-y problems, including NP-hardness and fixed-parameter tractability analyses.
Findings
Min-and/or is NP-hard even for restricted graphs.
Deciding exact solution weight in x-y trees is NP-hard.
Certain parameterized versions are fixed-parameter tractable or W-hard.
Abstract
This paper presents a study on two data structures that have been used to model several problems in computer science: and/or graphs and x-y graphs. An and/or graph is an acyclic digraph containing a source, such that every vertex v has a label f(v) \in {and,or} and edges represent dependency relations between vertices: a vertex labeled and depends on all of its out-neighbors, while a vertex labeled or depends on only one of its out-neighbors. X-y graphs are defined as a natural generalization of and/or graphs: every vertex vi of an x-y graph has a label xi-yi to mean that vi depends on xi of its yi out-neighbors. We analyze the complexity of the optimization problems Min-and/or and Min-x-y, which consist of finding solution subgraphs of optimal weight for and/or and x-y graphs, respectively. Motivated by the large applicability as well as the hardness of Min-and/or and Min-x-y, we study…
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Taxonomy
TopicsAdvanced Graph Theory Research · Graph Labeling and Dimension Problems · Complexity and Algorithms in Graphs
