Results 171 to 180 of about 453 (193)

Partitioning Cliques of Claw-Free Strongly Chordal Graphs

open access: yes, 1999
In this paper we find a particular partition of the vertex set of claw-free strongly chordal graphs in which each element is a clique, and we show that the adjacency graph of these cliques is a tree. In particular, the presented results imply the existence of an ordering of the vertices, and a corresponding edge orientation, such that each directed ...
Confessore, G   +2 more
openaire   +3 more sources

Regular vines with strongly chordal pattern of (conditional) independence

open access: yesComputational Statistics and Data Analysis, 2022
Multivariate statistical models can be simplified by assuming that a pattern of conditional independence is presented in the given data. A popular way of capturing the (conditional) independence is to use probabilistic graphical models.
Dorota Kurowicka
exaly   +2 more sources

Locally connected spanning trees in strongly chordal graphs and proper circular-arc graphs

open access: yesDiscrete Mathematics, 2007
A locally connected spanning tree of a graph G is a spanning tree T of G such that the set of all neighbors of v in T induces a connected subgraph of G for every v∈V(G).
Ching-Chi Lin   +2 more
exaly   +2 more sources

Roman domination on strongly chordal graphs

Journal of Combinatorial Optimization, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chun-Hung Liu, Gerard J. Chang
openaire   +2 more sources

Strengthening strongly chordal graphs

Discrete Mathematics, Algorithms and Applications, 2016
An [Formula: see text]-chord of a cycle [Formula: see text] is a chord that forms a new cycle with a length-[Formula: see text] subpath of [Formula: see text] when [Formula: see text] is at most half the length of [Formula: see text]. Define a graph to be [Formula: see text]-strongly chordal if, for every [Formula: see text], every cycle long enough ...
openaire   +1 more source

The w‐median of a connected strongly chordal graph

Journal of Graph Theory, 1994
AbstractSuppose G = (V, E) is a graph in which every vertex x has a non‐negative real number w(x) as its weight. The w‐distance sum of a vertex y is DG, w(y) = σx≅v d(y, x)w(x). The w‐median of G is the set of all vertices y with minimum w‐distance sum DG,w(y).
Hai-Yen Lee, Gerard J. Chang
openaire   +2 more sources

Odd twists on strongly chordal graphs

Discrete Mathematics, Algorithms and Applications, 2019
Strongly chordal graphs can be characterized as chordal graphs in which every even cycle of length at least [Formula: see text] has an odd chord (a chord whose endpoints are an odd distance apart in the cycle subgraph). Define “oddly chordal graphs” to be chordal graphs in which every odd cycle of length at least [Formula: see text] has an odd chord ...
openaire   +1 more source

Steiner trees, connected domination and strongly chordal graphs

Networks, 1985
AbstractWe consider Steiner tree problems and connected dominating set problems for several classes of graphs. We give a polynomial algorithm and a min‐max theorem for the cardinality Steiner problem in strongly chordal graphs and a polynomial algorithm for the weighted connected dominating set problem in series‐parallel graphs.
Kevin White 0001   +2 more
openaire   +1 more source

A good characterization of squares of strongly chordal split graphs

Information Processing Letters, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Van Bang Le, Nguyen Ngoc Tuy
openaire   +2 more sources

On Generating Strong Elimination Orderings of Strongly Chordal Graphs

1998
We present a conceptually simple algorithm to generate an ordering of the vertices of an undirected graph. The ordering generated turns out to be a strong elimination ordering if and only if the given graph is a strongly chordal graph. This algorithm makes use of maximum cardinality search and lexicographic breadth first search algorithms which are ...
N. Kalyana Rama Prasad   +1 more
openaire   +1 more source

Home - About - Disclaimer - Privacy