Simple linear time recognition of unit interval graphs

1995 ◽  
Vol 55 (2) ◽  
pp. 99-104 ◽  
Author(s):  
Derek G Corneil ◽  
Hiryoung Kim ◽  
Sridhar Natarajan ◽  
Stephan Olariu ◽  
Alan P Sprague
Algorithmica ◽  
2021 ◽  
Author(s):  
Jan Kratochvíl ◽  
Tomáš Masařík ◽  
Jana Novotná

AbstractInterval graphs, intersection graphs of segments on a real line (intervals), play a key role in the study of algorithms and special structural properties. Unit interval graphs, their proper subclass, where each interval has a unit length, has also been extensively studied. We study mixed unit interval graphs—a generalization of unit interval graphs where each interval has still a unit length, but intervals of more than one type (open, closed, semi-closed) are allowed. This small modification captures a richer class of graphs. In particular, mixed unit interval graphs may contain a claw as an induced subgraph, as opposed to unit interval graphs. Heggernes, Meister, and Papadopoulos defined a representation of unit interval graphs called the bubble model which turned out to be useful in algorithm design. We extend this model to the class of mixed unit interval graphs and demonstrate the advantages of this generalized model by providing a subexponential-time algorithm for solving the MaxCut problem on mixed unit interval graphs. In addition, we derive a polynomial-time algorithm for certain subclasses of mixed unit interval graphs. We point out a substantial mistake in the proof of the polynomiality of the MaxCut problem on unit interval graphs by Boyacı et al. (Inf Process Lett 121:29–33, 2017. 10.1016/j.ipl.2017.01.007). Hence, the time complexity of this problem on unit interval graphs remains open. We further provide a better algorithmic upper-bound on the clique-width of mixed unit interval graphs.


2020 ◽  
Vol 7 (3) ◽  
pp. 1453-1465 ◽  
Author(s):  
Xiao Xu ◽  
Sattar Vakili ◽  
Qing Zhao ◽  
Ananthram Swami

Author(s):  
Pavel Klavík ◽  
Jan Kratochvíl ◽  
Yota Otachi ◽  
Ignaz Rutter ◽  
Toshiki Saitoh ◽  
...  

2009 ◽  
Vol 13 (4) ◽  
pp. 1167-1179
Author(s):  
Peter Che Bor Lam ◽  
Tao-Ming Wang ◽  
Wai Chee Shiu ◽  
Guohua Gu

Algorithms ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 140 ◽  
Author(s):  
Asahi Takaoka

The Hamiltonian cycle reconfiguration problem asks, given two Hamiltonian cycles C 0 and C t of a graph G, whether there is a sequence of Hamiltonian cycles C 0 , C 1 , … , C t such that C i can be obtained from C i − 1 by a switch for each i with 1 ≤ i ≤ t , where a switch is the replacement of a pair of edges u v and w z on a Hamiltonian cycle with the edges u w and v z of G, given that u w and v z did not appear on the cycle. We show that the Hamiltonian cycle reconfiguration problem is PSPACE-complete, settling an open question posed by Ito et al. (2011) and van den Heuvel (2013). More precisely, we show that the Hamiltonian cycle reconfiguration problem is PSPACE-complete for chordal bipartite graphs, strongly chordal split graphs, and bipartite graphs with maximum degree 6. Bipartite permutation graphs form a proper subclass of chordal bipartite graphs, and unit interval graphs form a proper subclass of strongly chordal graphs. On the positive side, we show that, for any two Hamiltonian cycles of a bipartite permutation graph and a unit interval graph, there is a sequence of switches transforming one cycle to the other, and such a sequence can be obtained in linear time.


2014 ◽  
Vol 79 (4) ◽  
pp. 267-281 ◽  
Author(s):  
Felix Joos

2017 ◽  
Vol 87 (3) ◽  
pp. 317-332 ◽  
Author(s):  
Alexandre Talon ◽  
Jan Kratochvíl

2009 ◽  
Vol 35 ◽  
pp. 247-255 ◽  
Author(s):  
Min Chih Lin ◽  
Francisco J. Soulignac ◽  
Jayme L. Szwarcfiter

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