Finding maximum cliques on circular-arc graphs
Alberto Apostolico,E. Hambrusch +1 more
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TL;DR: An algorithm is presented that, given the intersection model S of a circular-arc graph G with n vertices and m edges, finds a maximum-sized clique of G in O(n 2 log log n) time.
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About: This article is published in Information Processing Letters. The article was published on 04 Dec 1987. and is currently open access. The article focuses on the topics: Clique graph & K-tree.
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Citations
Paths in interval graphs and circular arc graphs
TL;DR: An algorithm for finding Hamiltonian paths in circular arc graphs which runs in time O(n5) is created, which provides a foundation for obtaining polynomial algorithms for several problems concerning paths in interval graphs and interval models.
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Local Tournaments and Proper Circular Arc Gaphs
Pavol Hell,Jørgen Bang-Jensen,Jing Huang +2 more
- 16 Aug 1990
TL;DR: It turns out that these chordal graphs that are orientable as local tournaments are precisely the graphs previously studied as proper circular arc graphs, i.e., that are proper circularArc graphs.
40
Generation of maximum independent sets of a bipartite graph and maximum cliques of a circular-arc graph
TL;DR: An efficient algorithm for generating all maximum independent sets of a bipartite graph with time complexity O(n2.5 + (output size)), where n is the number of vertices of a given graph.
35
Optimal parallel algorithms on circular-arc graphs
A. Srinivasa Rao,C. Pandu Rangan +1 more
TL;DR: On considere des graphes pour lesquels il existe une correspondance bijective de l'ensemble des sommets avec une famille d'arcs circulaires sur le cercle unite, et presente des algorithmes paralleles and optimaux concernant quelques ensembles caracteristiques de ces graphes.
24
Convex-Round and Concave-Round Graphs
TL;DR: It is pointed out that convex-round and concave-round graphs can be recognized in O(n+m) time (here n denotes the number of vertices and m thenumber of edges of the graph in question).
23
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Alfred V. Aho,John E. Hopcroft +1 more
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TL;DR: This text introduces the basic data structures and programming techniques often used in efficient algorithms, and covers use of lists, push-down stacks, queues, trees, and graphs.
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Algorithmic graph theory and perfect graphs
Martin Charles Golumbic
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TL;DR: This new Annals edition continues to convey the message that intersection graph models are a necessary and important tool for solving real-world problems and remains a stepping stone from which the reader may embark on one of many fascinating research trails.
4.3K
The NP-completeness column: An ongoing guide
TL;DR: This is the fourteenth edition of a quarterly column that provides continuing coverage of new developments in the theory of NP-completeness, and readers who have results they would like mentioned (NP-hardness, PSPACE- hardness, polynomialtime-solvability, etc.), or open problems they wouldlike publicized, should send them to David S. Johnson.
859
Preserving order in a forest in less than logarithmic time and linear space
TL;DR: This note shows that the second objection can be amended by combining some ideas used before in [2], and the present and previous results are expressed by the following lemma’s and theorem.
493
Optimal simulations of tree machines
Sandeep N. Bhatt,Fan Chung,Tom Leighton,Arnold L. Rosenberg +3 more
- 27 Oct 1986
TL;DR: This paper investigates simulations of tree machines; the fact that divide-and-conquer algorithms are programmed naturally on trees motivates the investigation, and constructs a universal bounded-degree network on N nodes for which every N node binary tree is a spanning tree.
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