Fast Sequential and Parallel Vertex Relabelings of Km,m

2015 ◽  
Vol 26 (01) ◽  
pp. 33-50 ◽  
Author(s):  
Sanpawat Kantabutra

Given an undirected, connected, simple graph G = (V,E), two vertex labelings LV and L'V of the vertices of G, and a label flip operation that interchanges a pair of labels on adjacent vertices, the Vertex Relabeling Problem is to transform G from LV into L'V using the flip operation. Agnarsson et al. showed solving the Vertex Relabeling Problem on arbitrary graphs can be done in θ(n2), where n is the number of vertices in G. In this article we study the Vertex Relabeling Problem on graphs Km,m and introduce the concept of parity and precise labelings. We show that, when we consider the parity labeling, the problem on graphs Km,m can be solved quickly in O(log m) time using m processors on an EREW PRAM. Additionally, we also show that the number of processors can be further reduced to [Formula: see text] in this case while the time complexity does not change. When the labeling is precise, the parallel time complexity increases by a factor of log m while the processor complexities remain m and [Formula: see text]. We also show that, when graphs are restricted to Km,m, this problem can be solved optimally in O(m) time when the labeling is parity, and can be solved in O(m log m) time when the labeling is precise, thereby improving the result in Agnarsson et al. for this specific case. Moreover, we generalize the result in the case of precise labeling to the cases when LV and L'V can be any configuration. In the end we give a conclusion and a list of some interesting open problems.

1995 ◽  
Vol 05 (02) ◽  
pp. 179-190 ◽  
Author(s):  
WENTONG CAI ◽  
DAVID B. SKILLICORN

The Bird-Meetens formalism is an approach to software development and computation based on datatype theories. In this paper we build new operators for the theory of lists that compute generalized recurrences and show that they have logarithmic parallel time complexity. As many applications can be cast as forms of recurrences, this allows a large range of parallel algorithms to be derived within the Bird-Meertens formalism. We illustrate by deriving a parallel solution to the maximum segment sum problem.


1999 ◽  
Vol 10 (01) ◽  
pp. 33-46 ◽  
Author(s):  
MEHMET HAKAN KARAATA

In this paper, 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. The algorithm is resilient to transient faults and does not require initialization. A correctness proof of the algorithm is also presented. The paper concludes with remarks on issues such as the time complexity of the algorithm and open problems.


2020 ◽  
Vol 27 (3) ◽  
pp. 1-14
Author(s):  
Mehmet Karaata

Given two distinct vertices (nodes) source s and target t of a graph G = (V, E), the two node-disjoint paths problem is to identify two node-disjoint paths between s ∈ V and t ∈ V. Two paths are node-disjoint if they have no common intermediate vertices. In this paper, we present an algorithm with O(m)-time complexity for finding two node-disjoint paths between s and t in arbitrary graphs where m is the number of edges. The proposed algorithm has a wide range of applications in ensuring reliability and security of sensor, mobile and fixed communication networks.


Author(s):  
Tian-Rui Ye ◽  
◽  
Haiying Wang ◽  

Let be a simple graph and be the set of all integers. An integral sum graph of a set of integers as the graph having as its vertex set, with two vertices adjacent whenever their sum is in A graph so obtained is called an integral sum graph. In other words, an integral sum graph of a finite subset is the graph with if and only if And is called an integral sum labelling of In the paper, many obtained conclusions are summarized and relevant open problem is raised.


2014 ◽  
Vol 32 (2) ◽  
pp. 123-144
Author(s):  
Paula Fritzsche ◽  
Dolores Rexachs ◽  
Emilio Luque

Author(s):  
Leiba Rodman

Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied mathematics, physics, computer science, and engineering. This is the first book to provide a systematic, accessible, and self-contained exposition of quaternion linear algebra. It features previously unpublished research results with complete proofs and many open problems at various levels, as well as more than 200 exercises to facilitate use by students and instructors. Applications presented in the book include numerical ranges, invariant semidefinite subspaces, differential equations with symmetries, and matrix equations. Designed for researchers and students across a variety of disciplines, the book can be read by anyone with a background in linear algebra, rudimentary complex analysis, and some multivariable calculus. Instructors will find it useful as a complementary text for undergraduate linear algebra courses or as a basis for a graduate course in linear algebra. The open problems can serve as research projects for undergraduates, topics for graduate students, or problems to be tackled by professional research mathematicians. The book is also an invaluable reference tool for researchers in fields where techniques based on quaternion analysis are used.


Author(s):  
Suresha .M ◽  
. Sandeep

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.


Sign in / Sign up

Export Citation Format

Share Document