2011/10/06 by Abhijeet Khopkar, Khopkar, Abhijeet, Sathish Govindarajan +1
Computer Science · Mathematics · #Advanced Graph Theory Research #Computational Geometry (cs.CG) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Graph Labeling and Dimension Problems #Graph theory and applications #cs.CG #cs.DS
paper · pdf · doi:10.48550/arxiv.1110.1180
openalex publication_date 2011/10/06 · arxiv created 2012/07/02 · arxiv updated 2012/07/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Delaunay and Gabriel graphs are widely studied geometric proximity structures. Motivated by applications in wireless routing, relaxed versions of these graphs known as Locally Delaunay Graphs (LDGs) and Locally Gabriel Graphs (LGGs) were proposed. We propose another generalization of LGGs called Generalized Locally Gabriel Graphs (GLGGs) in the context when certain edges are forbidden in the graph. Unlike a Gabriel Graph, there is no unique LGG or GLGG for a given point set because no edge is necessarily included or excluded. This property allows us to choose an LGG/GLGG that optimizes a parameter of interest in the graph. We show that computing an edge maximum GLGG for a given problem instance is NP-hard and also APX-hard. We also show that computing an LGG on a given point set with dilation ≤ k is NP-hard. Finally, we give an algorithm to verify whether a given geometric graph G=(V,E) is a valid LGG.