Sergey Bereg
University of Texas at Dallas
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Publication
Featured researches published by Sergey Bereg.
graph drawing | 2011
Sergey Pupyrev; Lev Nachmanson; Sergey Bereg; Alexander E. Holroyd
We propose a new approach to edge bundling. At the first stage we route the edge paths so as to minimize a weighted sum of the total length of the paths together with their ink. As this problem is NP-hard, we provide an efficient heuristic that finds an approximate solution. The second stage then separates edges belonging to the same bundle. To achieve this, we provide a new and efficient algorithm that solves a variant of the metro-line crossing minimization problem. The method creates aesthetically pleasing edge routes that give an overview of the global graph structure, while still drawing each edge separately, without intersecting graph nodes, and with few crossings.
symposium on computational geometry | 2005
Sergey Bereg; David G. Kirkpatrick
We consider the existence and efficient construction of bounded curvature paths traversing constant-width regions of the plane, called corridors. We make explicit a width threshold τ with the property that (a) all corridors of width at least τ admit a unit-curvature traversal and (b) for any width w < τ there exist corridors of width w with no such traversal. Applications to the design of short, but not necessarily shortest, and high clearance, but not necessarily maximum clearance, curvature-bounded paths in general polygonal domains, are also discussed.
Computational Geometry: Theory and Applications | 2005
Sergey Bereg
A pseudo-triangle is a simple polygon with exactly three convex vertices. A pseudo-triangulation of a finite point set S in the plane is a partition of the convex hull of S into interior disjoint pseudo-triangles whose vertices are points of S. A pointed pseudo-triangulation is one which has the least number of pseudo-triangles. We study the graph G whose vertices represent the pointed pseudo-triangulations and whose edges represent flips. We present an algorithm for enumerating pointed pseudo-triangulations in O(log n) time per pseudo-triangulation.
algorithmic aspects of wireless sensor networks | 2009
Sergey Bereg; David G. Kirkpatrick
Barrier coverage in a sensor network has the goal of ensuring that all paths through the surveillance domain joining points in some start region S to some target region T will intersect the coverage region associated with at least one sensor. In this paper, we revisit a notion of redundant barrier coverage known as k-barrier coverage. We describe two different notions of width, or impermeability, of the barrier provided by the sensors in
Journal of Combinatorial Optimization | 2006
Sergey Bereg; Marcin Kubica; Tomasz Waleń; Binhai Zhu
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Computational Geometry: Theory and Applications | 2006
Manuel Abellanas; Sergey Bereg; Ferran Hurtado; Alfredo García Olaverri; David Rappaport; Javier Tejel
to paths joining two arbitrary regions S to T. The first, what we refer to as the thickness of the barrier, counts the minimum number of sensor region intersections, over all paths from S to T. The second, what we refer to as the resilience of the barrier, counts the minimum number of sensors whose removal permits a path from S to T with no sensor region intersections. Of course, a configuration of sensors with resilience k has thickness at least k and constitutes a k-barrier for S and T. Our result demonstrates that any (Euclidean) shortest path from S to T that intersects a fixed number of distinct sensors, never intersects any one sensor more than three times. It follows that the resilience of
Information Processing Letters | 2004
Sergey Bereg
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Efficient Algorithms | 2009
Tetsuo Asano; Sergey Bereg; David G. Kirkpatrick
(with respect to S and T) is at least one-third the thickness of
symposium on computational geometry | 2005
Sergey Bereg
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computer aided verification | 2014
Margus Veanes; Nikolaj Bjørner; Lev Nachmanson; Sergey Bereg
(with respect to S and T). (Furthermore, if points in S and T are moderately separated (relative to the radius of individual sensor coverage) then no shortest path intersects any one sensor more than two times, and hence the resilience of