Efficient recognition algorithms for $(1,2)$-, $(2,1)$- and $(2,2)$-graphs
Flavia Bonomo-Braberman, Min Chih Lin, Ignacio Maqueda

TL;DR
This paper improves recognition algorithms for specific classes of graphs called $(1,2)$-, $(2,1)$-, and $(2,2)$-graphs, reducing their computational complexity significantly.
Contribution
The authors present faster recognition algorithms for these graph classes, lowering the time complexity from previous bounds.
Findings
Recognition algorithms for $(2,1)$- and $(1,2)$-graphs now run in $O(n^2+nm)$ and $O(n^2+nar{m})$ time.
The recognition algorithm for $(2,2)$-graphs is improved to $O(n^4(n+ ext{min}igracevert{m,ar{m}}igracevert)^3)$ time.
The results extend the class of efficiently recognizable graphs within the NP-complete recognition problem landscape.
Abstract
A graph is said to be a -graph if its vertex set can be partitioned into independent sets and cliques. It is well established that the recognition problem for -graphs is NP-complete whenever or , while it is solvable in polynomial time otherwise. In particular, for the case , recognition can be carried out in linear time, since split graphs coincide with the class of -graphs, bipartite graphs correspond precisely to -graphs, and -graphs are the complements of -graphs. Recognition algorithms for - and -graphs were provided by Brandst\"adt, Le and Szymczak in 1998, while the case of -graphs was addressed by Feder, Hell, Klein, and Motwani in 1999. In this work, we refine these results by presenting improved recognition algorithms with lower time complexity.…
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Taxonomy
TopicsAdvanced Graph Theory Research · Digital Image Processing Techniques · Graph Labeling and Dimension Problems
