Ortrud R. Oellermann

dblp:o/OROellermann · also Ortrud Oellermann · DBLP profile ↗
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24ranked-venue papers
4as first author
1since 2021 · last 2021
0000-0003-3520-7514ORCID · verified

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Theory of computation · 21 · 2 first-author · 1 since 2021Computer networks · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author
YearPublicationVenuePosition
2021 Average connectivity of minimally 2-connected graphs and average edge-connectivity of minimally 2-edge-connected graphs
Rocío M. Casablanca, Lucas Mol, Ortrud R. Oellermann
Discret. Appl. Math.3
2020 The threshold dimension of a graph
Lucas Mol, Matthew J. H. Murphy, Ortrud R. Oellermann
Discret. Appl. Math.3
2017 Reconstructing trees from digitally convex sets
Philip Lafrance, Ortrud R. Oellermann, Timothy Pressey
Discret. Appl. Math.2
2017 Comparing the metric and strong dimensions of graphs
Gaia Moravcik, Ortrud R. Oellermann, Samuel Yusim
Discret. Appl. Math.2
2016 Global cycle properties in locally connected, locally traceable and locally hamiltonian graphs
Susan A. van Aardt, Marietjie Frick, Ortrud R. Oellermann, Johan P. de Wet
Discret. Appl. Math.3
2016 Global cycle properties of locally isometric graphs
Adam Borchert, Skylar Nicol, Ortrud R. Oellermann
Discret. Appl. Math.3
2016 The simultaneous metric dimension of graph families
Yunior Ramírez-Cruz, Ortrud R. Oellermann, Juan A. Rodríguez-Velázquez
Discret. Appl. Math.2
2009 Steiner Trees and Convex Geometries
abstract
Let V be a finite set and $\mathcal{M}$ a collection of subsets of V. Then $\mathcal{M}$ is an alignment of V if and only if $\mathcal{M}$ is closed under taking intersections and contains both V and the empty set. If $\mathcal{M}$ is an alignment of V, then the elements of $\mathcal{M}$ are called convex sets and the pair $(V,\mathcal{M})$ is called an aligned space. If $S\subseteq V$, then the convex hull of S is the smallest convex set that contains S. Suppose $X\in\mathcal{M}$. Then $x\in X$ is an extreme point for X if $X\setminus\{x\}\in\mathcal{M}$. The collection of all extreme points of X is denoted by $\text{{\it ex\/}}(X)$. A convex geometry on a finite set is an aligned space with the additional property that every convex set is the convex hull of its extreme points. Let G be a connected graph. A set S of vertices is g-convex if for every pair $u,v$ of vertices in S, every vertex that belongs to some u-v geodesic (shortest path) is also in S. A set S of vertices in G is k-Steiner-convex, denoted by $g_k$-convex, if, for every set T of k vertices of S, every vertex that belongs to some Steiner tree for T, i.e., a subtree of G of smallest size containing T, is also in S. Let $R=\{k_1,k_2,\dots,k_t\}$ be a collection of positive integers such that $2\leq k_1
Morten Hegner Nielsen, Ortrud R. Oellermann
SIAM J. Discret. Math.2
2007 The strong metric dimension of graphs and digraphs
Ortrud R. Oellermann, Joel Peters-Fransen
Discret. Appl. Math.1
2004 Minimum average distance of strong orientations of graphs
Peter Dankelmann, Ortrud R. Oellermann, Jian-Liang Wu 0001
Discret. Appl. Math.2
2004 The average connectivity of a digraph
Michael A. Henning, Ortrud R. Oellermann
Discret. Appl. Math.2
2003 Bounds on the average connectivity of a graph
Peter Dankelmann, Ortrud R. Oellermann
Discret. Appl. Math.2
2002 Augmenting trees so that every three vertices lie on a cycle
Peter Dankelmann, Wayne Goddard, Ortrud R. Oellermann, Henda C. Swart
Discret. Appl. Math.3
2000 Resolvability in graphs and the metric dimension of a graph
Gary Chartrand, Linda Eroh, Mark A. Johnson, Ortrud R. Oellermann
Discret. Appl. Math.4
1999 On Steiner centers and Steiner medians of graphs
abstract
Let G be connected graph and S a set of vertices of G. Then a Steiner tree for S is a connected subgraph of G of smallest size (number of edges) that contains S. The size of such a subgraph is called the Steiner distance for S and is denoted by d(S). For a vertex v of G, and integer n, 2 ≤n ≤ |V(G)|, the Steiner n-eccentricity en(v) of v is defined as en(v) = max{d(S)|S ⊆V(G), |S| = n, and v ∈ S}. The Steiner n-radius radnG and Steiner n-diameter diamnG are defined as the minimum and maximum n-eccentricity respectively, taken over all vertices of G. Relationships between radnG and diamnG are given if G is a tree, and a conjecture (with some supporting results) is made that relates these parameters for general graphs. The subgraph induced by these vertices with n-eccentricity radnG is called the Steiner n-center of G and is denoted by Cn(G). It is shown that every graph is the Steiner n-center of some graph. The Steiner n-distance of a vertex v, denoted by dn(v), is defined by dn(v) = ∑{d(S)|v ∈S, |S| =n}. The Steiner n-median Mn(G) of G is the subgraph induced by those vertices with minimum Steiner n-distance. Algorithms for finding Cn(T) and Mn(T) for a tree T are described. It is shown that the distance between the Cn(T) and Mn(T) for a tree T can be arbitrarily large. Eccentricity measures are defined that extend those of the Steiner n-eccentricity and Steiner n-distance of a vertex. Then it is shown that every vertex on a shortest path between the Steiner n-center and Steiner n-median of a tree belongs to a “center” relative to one of these eccentricity measures. © 1999 John Wiley & Sons, Inc. Networks 34: 258–263, 1999
Ortrud R. Oellermann
Networks1
1998 Steiner Intervals in Graphs
Ewa M. Kubicka, Grzegorz Kubicki, Ortrud R. Oellermann
Discret. Appl. Math.3
1997 On the Average Steiner Distance of Graphs with Prescribed Properties
Peter Dankelmann, Henda C. Swart, Ortrud R. Oellermann
Discret. Appl. Math.3
1997 A characterization of 3-Steiner distance hereditary graphs
abstract
Let G be a connected graph and S ⊆ V(G). Then, the Steiner distance of S in G, denoted by dG(S), is the smallest number of edges in a connected subgraph of G that contains S. A connected graph G is k-Steiner distance hereditary, k ≥ 2, if for every S ⊆ V(G) such that |S| = k and every connected induced subgraph H of G containing S, dH(S) = dG(S). Some general properties about the cycle structure of k-Steiner distance hereditary graphs are established. These are then used to characterize 3-Steiner distance hereditary graphs. © 1997 John Wiley & Sons, Inc. Networks 30: 243–253, 1997
David P. Day, Ortrud R. Oellermann, Henda C. Swart
Networks2
1996 on the Steiner Median of a Tree
Lowell W. Beineke, Ortrud R. Oellermann, Raymond E. Pippert
Discret. Appl. Math.2
1996 An Algorithm to Find Two Distance Domination Parameters in a Graph
Gerd Fricke, Michael A. Henning, Ortrud R. Oellermann, Henda C. Swart
Discret. Appl. Math.3
1995 A Polynomial Algorithm for Testing Whether a Graph is 3-Steiner Distance Hereditary
Ortrud R. Oellermann, Jeremy P. Spinrad
Inf. Process. Lett.1
1994 Steiner Distance-Hereditary Graphs
abstract
Let G be a connected graph and $S \subseteq V( G )$. Then the Steiner distance of S in G, denoted by $d_G ( S )$, is the smallest number of edges in a connected subgraph of G that contains S. A connected graph G is k-Steiner distance-hereditary, $k \geq 2$, if, for every $S \subseteq V( G )$ such that $|S| = k$ and every connected induced subgraph H of G containing $S,d_H ( S ) = d_G ( S )$. It is shown that if G is 2-Steiner distance-hereditary, then G is k-Steiner distance-hereditary for all $k \geq 2$. Furthermore, it is shown that if G is k-Steiner distance-hereditary $( k \geq 3 )$, then G need not be $( k - 1 )$-Steiner distance-hereditary. An efficient algorithm for determining the Steiner distance of a set of k vertices in a k-Steiner distance-hereditary graph is discussed, and a characterization of 2-Steiner distance-hereditary graphs that leads to an efficient algorithm for testing whether a graph is 2-Steiner distance-hereditary is given.
David P. Day, Ortrud R. Oellermann, Henda C. Swart
SIAM J. Discret. Math.2
1991 Conditional graph connectivity relative to hereditary properties
abstract
Abstract A graphical property P is said to be hereditary (strongly hereditary) if every induced subgraph (subgraph) of a graph with property P also has property P. If P is a graphical property, then the P‐connectivity of a graph is the minimum number of vertices whose removal from G produces the trivial graph or a disconnected graph each of whose components has property P. Several analogs and generalizations of results concerning the ordinary connectivity of a graph are established for the P‐connectivity of a graph, with respect to hereditary properties P. If P is a graphical property, then the P‐edge‐connectivity of a graph is defined similarly to the P‐connectivity. Several results concerning the P‐edge‐connectivity of a graph with respect to strongly hereditary properties P are established. Moreover, a generalization of Whitney's inequalities is given.
Ortrud R. Oellermann
Networks1
1989 A Matter of Degree
abstract
The concepts of nth degrees and nth-order odd vertices in graphs are introduced. The first degree of a vertex v in a graph G is the degree of v, while the nth degree ($n\geqq 2$) of $v $ is the sum of the $(n - 1)$st degrees of the vertices adjacent to $v $ in G. By a first-order odd vertex in a graph G is meant an (ordinary) odd vertex in G, while for $n\geqq 2$, an nth-order odd vertex of G is a vertex adjacent to an odd number of $(n - 1)$st-order odd vertices. The number of nth-order odd vertices, $n = 1,2, \cdots $, is investigated. A sequence $s_{1}, s_{2}, \cdots ,s_n , \cdots $ of integers is defined to be a generalized odd vertex sequence if there exists a graph G containing exactly $s_{n}$nth-order odd vertices for every positive integer n. Generalized odd vertex sequences are characterized. Relationships between the nth degrees of the vertices of a graph G and the walks of length n in G are described. The analogous problem for digraphs is also discussed.
Gary Chartrand, Héctor Hevia, Ortrud R. Oellermann, Farrokh Saba, Allen J. Schwenk
SIAM J. Discret. Math.3