Transformations of Rectangular Dualizable Graphs
Vinod Kumar, Krishnendra Shekhawat

TL;DR
This paper studies the properties and transformations of rectangular dualizable graphs (RDGs), introducing polynomial algorithms for adjacency transformations, and characterizing maximal and minimal RDGs through edge-reducibility concepts.
Contribution
It presents polynomial algorithms for transforming RDGs, characterizes maximal and minimal RDGs, and proves the existence of maximal RDGs for any RDG.
Findings
Existence of a maximal RDG for any RDG.
Maximal RDGs are edge-reducible and can be transformed into minimal RDGs.
Polynomial time algorithms for adjacency transformations of RDGs.
Abstract
A plane graph is said to be a rectangular graph if each of its edges can be oriented horizontal or vertical, its internal regions are four-sided and it has a rectangular enclosure. If dual of a planar graph is a rectangular graph, then the graph is said to be a rectangular dualizable graph (RDG). In this paper, we present adjacency transformations between RDGs and present polynomial time algorithms for their transformations. An RDG is called maximal RDG (MRDG) if there does not exist an RDG with . An RDG is said to be an edge-reducible if there exists an RDG such that . If an RDG is not edge-reducible, it is said to be an edge-irreducible RDG. We show that there always exists an MRDG for a given RDG. We also show that an MRDG is edge-reducible and can always be transformed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Geometry and Mesh Generation · Model-Driven Software Engineering Techniques · Advanced Graph Theory Research
