Zsolt Fekete
Hungarian Academy of Sciences
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Featured researches published by Zsolt Fekete.
Archive | 2006
Zsolt Fekete
In this note we provide a Henneberg-type constructive characterization theorem of [k, l]-sparse graphs, that is, the graphs for which the number of induced edges in any subset X of nodes is at most κ|X| − l. We consider the case 0 ≤ l ≤ κ.
Operations Research Letters | 2006
Zsolt Fekete
We consider the following two problems: (i) given a graph, find a minimum size vertex-set such that the pinning of it makes the graph rigid in the plane. (ii) Given a graph, contract a minimum size vertex-set such that the resulting graph has two edge-disjoint spanning trees. We prove that these problems are polynomially solvable.
european symposium on algorithms | 2004
Zsolt Fekete; Tibor Jordán; Walter Whiteley
We prove that all planar Laman graphs (i.e. minimally generically rigid graphs with a non-crossing planar embedding) can be generated from a single edge by a sequence of vertex splits. It has been shown recently [6,12] that a graph has a pointed pseudo-triangular embedding if and only if it is a planar Laman graph. Due to this connection, our result gives a new tool for attacking problems in the area of pseudo-triangulations and related geometric objects. One advantage of vertex splitting over alternate constructions, such as edge-splitting, is that vertex splitting is geometrically more local.
algorithmic aspects of wireless sensor networks | 2006
Zsolt Fekete; Tibor Jordán
In the network localization problem the locations of some nodes (called anchors) as well as the distances between some pairs of nodes are known, and the goal is to determine the location of all nodes. The localization problem is said to be solvable (or uniquely localizable) if there is a unique set of locations consistent with the given data. Recent results from graph rigidity theory made it possible to characterize the solvability of the localization problem in two dimensions. In this paper we address the following related optimization problem: given the set of known distances in the network, make the localization problem solvable by designating a smallest set of anchor nodes. We develop a polynomial-time 3-approximation algorithm for this problem by proving new structural results in graph rigidity and by using tools from matroid theory.
Graphs and Combinatorics | 2015
Zsolt Fekete; Tibor Jordán; Viktória E. Kaszanitzky
Let G = (V, E) be a graph and
visual analytics science and technology | 2012
L. Dudas; Zsolt Fekete; J. Gobolos-Szabo; A. Radnai; A. Salanki; Adrienn Szabó; G. Szucs
cross language evaluation forum | 2009
Bálint Zoltán Daróczy; István Petrás; András A. Benczúr; Zsolt Fekete; Dávid Márk Nemeskey; Dávid Siklósi; Zsuzsa Weiner
{u, v \in V}
visual analytics science and technology | 2009
Dora Erdos; Zsolt Fekete; András Lukács
cross language evaluation forum | 2008
Bálint Zoltán Daróczy; Zsolt Fekete; Mátyás Brendel; Simon Rácz; András A. Benczúr; Dávid Siklósi; Attila Pereszlényi
u,v∈V be two distinct vertices. We give a necessary and sufficient condition for the existence of an infinitesimally rigid two-dimensional bar-and-joint framework (G, p), in which the positions of u and v coincide. We also determine the rank function of the corresponding modified generic rigidity matroid on ground-set E. The results lead to efficient algorithms for testing whether a graph has such a coincident realization with respect to a designated vertex pair and, more generally, for computing the rank of G in the matroid.
international conference on transparent optical networks | 2006
Mihály Bárász; Zsolt Fekete; Alpár Jüttner; Márton Makai; Jácint Szabó
OWLAP (Operative Workbench for Large-scale Analytics and Presentation) is a visual analytics tool that allows the user to browse and drill down the multidimensional data on-line with the possibility to export result into a zooming presentation framework. We address the challenges of multidimensional visualization by aiding the cognitively hard task of understanding attributes, finding patterns and outliers. We successfully solved the challenge of real time Big Data OLAP reporting by a home developed multithreaded inmemory database manager. Our additional focus is the automatic management of summary preparation that we aid by scripting the presentation framework of Prezi Inc.