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Journal ArticleDOI

Optimal parallel algorithms for finding cut vertices and bridges of interval graphs

Alan P. Sprague, +1 more
- 19 Jun 1992 - 
- Vol. 42, Iss: 4, pp 229-234
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TLDR
An O(log n ) time algorithm in the EREW PRAM model, using n /log n processors, to find cut vertices, bridges, and blocks (often called biconnected components) of an interval graph having n vertices is presented.
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This article is published in Information Processing Letters.The article was published on 1992-06-19. It has received 25 citations till now. The article focuses on the topics: Interval graph & Interval (graph theory).

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Citations
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Journal ArticleDOI

Efficient Algorithms for the Domination Problems on Interval and Circular-Arc Graphs

TL;DR: A unified approach to design efficient algorithms for the weighted domination problem and its three variants, i.e., the weighted independent, connected, and total domination problems, on interval graphs on circular-arc graphs is presented.
Journal ArticleDOI

A silent self-stabilizing algorithm for finding cut-nodes and bridges

TL;DR: This paper will prove that the composition of the algorithm with any silent self-stabilizing DFS algorithm is self-Stabilizing, and show that the algorithm needs O(n2) moves to reach a terminal configuration once the DFS spanning tree is computed.
Journal ArticleDOI

A self-stabilizing algorithm for finding articulation points

TL;DR: A self-stabilizing algorithm is presented for finding the articulation points of a connected undirected graph on a distributed or network model of computation after O(n2|E|) moves that is resilient to transient faults and does not require initialization.
Journal ArticleDOI

Efficient algorithms to compute all articulation points of a permutation graph

TL;DR: These are the first known algorithms for the problem on this class of graph which can easily be implemented in parallel which takesO(logn) time andO(n) processors on an EREW PRAM.
Proceedings Article

Parallel Algorithms on Interval Graphs.

TL;DR: This paper presents the first optimal, sublogarithmic algorithms for finding the Depth First Search and Breadth First Search trees of an interval graph.
References
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Book

Graph theory

Frank Harary

Computational geometry. an introduction

TL;DR: This book offers a coherent treatment, at the graduate textbook level, of the field that has come to be known in the last decade or so as computational geometry.
Book

Algorithmic graph theory and perfect graphs

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.
Journal ArticleDOI

Algorithmic graph theory and perfect graphs

Rolf H. Möhring
- 01 Jun 1986 - 
Journal ArticleDOI

Parallel merge sort

TL;DR: A parallel implementation of merge sort on a CREW PRAM that uses n processors and O(logn) time; the constant in the running time is small.