Maximum incomplete recursive circulants in graph embeddings

2015 ◽  
Vol 07 (04) ◽  
pp. 1550053
Author(s):  
R. Sundara Rajan ◽  
Indra Rajasingh ◽  
Paul Manuel ◽  
Mirka Miller ◽  
T. M. Rajalaxmi

An incomplete recursive circulant possesses virtually every advantage of a complete recursive circulant, including simple deadlock-free routing, a small diameter, a good support of parallel algorithms, and so on. It is natural to reconfigure a faulty recursive circulant into a maximum incomplete recursive circulant so as to lower potential performance degradation. For [Formula: see text], the maximum incomplete subgraph problem is to identify a subgraph [Formula: see text] of a graph [Formula: see text] on [Formula: see text] vertices having the maximum number of edges among all subgraphs on [Formula: see text] vertices and is NP-complete. In this paper we identify maximum incomplete recursive circulants and use them as a tool to compute the exact wirelength of embedding recursive circulants into special classes of trees, such as [Formula: see text]-rooted complete binary trees, [Formula: see text]-rooted sibling trees, binomial trees, certain caterpillars and path.

1998 ◽  
Vol 9 (3) ◽  
pp. 145-158 ◽  
Author(s):  
Panagiotis T. Metaxas ◽  
Grammati E. Pantziou ◽  
Antonis Symvonis

1993 ◽  
Vol 03 (03) ◽  
pp. 233-241
Author(s):  
A. RAMAN ◽  
C. PANDU RANGAN

A set of vertices D is a dominating set of a graph G=(V, E) if every vertex in V−D is adjacent to at least one vertex in D. The domatic partition of G is the partition of the vertex set V into a maximum number of dominating sets. In this paper, we present efficient parallel algorithms for finding the domatic partition of Interval graphs, Block graphs and K-trees.


2017 ◽  
Vol 15 (1) ◽  
pp. 1225-1235 ◽  
Author(s):  
Paul Manuel ◽  
Sandi Klavžar ◽  
Antony Xavier ◽  
Andrew Arokiaraj ◽  
Elizabeth Thomas

Abstract Geodesic covering problems form a widely researched topic in graph theory. One such problem is geodetic problem introduced by Harary et al. [Math. Comput. Modelling, 1993, 17, 89-95]. Here we introduce a variation of the geodetic problem and call it strong edge geodetic problem. We illustrate how this problem is evolved from social transport networks. It is shown that the strong edge geodetic problem is NP-complete. We derive lower and upper bounds for the strong edge geodetic number and demonstrate that these bounds are sharp. We produce exact solutions for trees, block graphs, silicate networks and glued binary trees without randomization.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Tingzeng Wu ◽  
Yong Yu

Let G be a graph. The Hosoya index of G , denoted by z G , is defined as the total number of its matchings. The computation of z G is NP-Complete. Wagner and Gutman pointed out that it is difficult to obtain results of the maximum Hosoya index among tree-like graphs with given diameter. In this paper, we focus on the problem, and a sharp bound of Hosoya indices of all bicyclic graphs with diameter of 3 is determined.


10.37236/9931 ◽  
2021 ◽  
Vol 28 (2) ◽  
Author(s):  
Victor A. Campos ◽  
Guilherme C.M. Gomes ◽  
Allen Ibiapina ◽  
Raul Lopes ◽  
Ignasi Sau ◽  
...  

We investigate a number of coloring problems restricted to bipartite graphs with bounded diameter. First, we investigate the $k$-List Coloring, $k$-Coloring, and $k$-Precoloring Extension problems on bipartite graphs with diameter at most $d$, proving $\textsf{NP}$-completeness in most cases, and leaving open only the List $3$-Coloring and $3$-Precoloring Extension problems when $d=3$. Some of these results are obtained $\textsc{through}$ a proof that the Surjective $C_6$-Homomorphism problem is $\textsf{NP}$-complete on bipartite graphs with diameter at most four. Although the latter result has been already proved [Vikas, 2017], we present ours as an alternative simpler one. As a byproduct, we also get that $3$-Biclique Partition is $\textsf{NP}$-complete. An attempt to prove this result was presented in [Fleischner, Mujuni, Paulusma, and Szeider, 2009], but there was a flaw in their proof, which we identify and discuss here. Finally, we prove that the $3$-Fall Coloring problem is $\textsf{NP}$-complete on bipartite graphs with diameter at most four, and prove that $\textsf{NP}$-completeness for diameter three would also imply $\textsf{NP}$-completeness of $3$-Precoloring Extension on diameter three, thus closing the previously mentioned open cases. This would also answer a question posed in [Kratochvíl, Tuza, and Voigt, 2002].


2014 ◽  
Vol Vol. 16 no. 2 (PRIMA 2013) ◽  
Author(s):  
Igor Ramos ◽  
Vinícius F. Santos ◽  
Jayme L. Szwarcfiter

Special issue PRIMA 2013 International audience We consider the P₃-convexity on simple undirected graphs, in which a set of vertices S is convex if no vertex outside S has two or more neighbors in S. The convex hull H(S) of a set S is the smallest convex set containing S as a subset. A set S is a convexly independent set if v \not ∈ H(S\setminus \v\) for all v in S. The rank \rk(G) of a graph is the size of the largest convexly independent set. In this paper we consider the complexity of determining \rk(G). We show that the problem is NP-complete even for split or bipartite graphs with small diameter. We also show how to determine \rk(G) in polynomial time for the well structured classes of graphs of trees and threshold graphs. Finally, we give a tight upper bound for \rk(G), which in turn gives a tight upper bound for the Radon number as byproduct, which is the same obtained before by Henning, Rautenbach and Schäfer. Additionally, we briefly show that the problem is NP-complete also in the monophonic convexity.


1993 ◽  
Vol 03 (04) ◽  
pp. 407-417 ◽  
Author(s):  
RAMESH SUBRAMONIAN ◽  
NARAYAN VENKATASUBRAMANYAN

A common arising problem in many parallel algorithms is broadcast. Many multiprocessors do not have dedicated hardware for this purpose. In this paper, we address the problem of simulating multiple-item broadcast by point-to-point message transmission, where a source processor has many messages which it wishes to disseminate to P−1 other processors. In a step, a processor can send at most one item from among those in its possession and receive at most one item. An item is received at most L steps after it is sent. The goal is to find a schedule that achieves the broadcast in minimum time. We improve on previous results by developing a simpler and almost optimal solution which makes no assumptions about L or P. We also provide a bound on the performance degradation when the latency, L, is allowed to vary.


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