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Fully Dynamic Recognition of Proper Circular-Arc Graphs

Fully dynamic recognition of proper circular-arc graphs
Authors: Francisco J. Soulignac;

Fully Dynamic Recognition of Proper Circular-Arc Graphs

Abstract

We present a fully dynamic algorithm for the recognition of proper circular-arc (PCA) graphs. The allowed operations on the graph involve the insertion and removal of vertices (together with its incident edges) or edges. Edge operations cost O(log n) time, where n is the number of vertices of the graph, while vertex operations cost O(log n + d) time, where d is the degree of the modified vertex. We also show incremental and decremental algorithms that work in O(1) time per inserted or removed edge. As part of our algorithm, fully dynamic connectivity and co-connectivity algorithms that work in O(log n) time per operation are obtained. Also, an O(��) time algorithm for determining if a PCA representation corresponds to a co-bipartite graph is provided, where �� is the maximum among the degrees of the vertices. When the graph is co-bipartite, a co-bipartition of each of its co-components is obtained within the same amount of time.

60 pages, 15 figures

Country
Argentina
Keywords

FOS: Computer and information sciences, Connectivity, round graphs, Analysis of algorithms and problem complexity, dynamic recognition, Graph representations (geometric and intersection representations, etc.), 68R10, ROUND GRAPHS, co-connectivity, proper circular-arc graphs, MINIMAL FORBIDDEN INDUCED SUBGRAPHS, PROPER CIRCULAR-ARC GRAPHS, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, CO-CONNECTIVITY, https://purl.org/becyt/ford/1.1, DYNAMIC RECOGNITION, https://purl.org/becyt/ford/1.2, Data Structures and Algorithms (cs.DS), https://purl.org/becyt/ford/1, minimal forbidden induced subgraphs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
Green
hybrid