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- Boaz Ben-Moshe, Matthew J. Katz, Joseph S. B. Mitchell
- SIAM J. Comput.
- 2007

We present the first constant-factor approximation algorithm for a non-trivial instance of the optimal guarding (coverage) problem in polygons. In particular, we give an O(1)-approximation algorithm for placing the fewest point guards on a 1.5D terrain, so that every point of the terrain is seen by at least one guard. While polylogarithmic-factor… (More)

We present the first constant-factor approximation algorithm for a non-trivial instance of the optimal guarding (coverage) problem in polygons. In particular, we give an <i>O</i>(1)-approximation algorithm for placing the fewest point guards on a 1.5D terrain, so that every point of the terrain is seen by at least one guard. While polylogarithmic-factor… (More)

Attribute data and relationship data are two principle types of data, representing the intrinsic and extrinsic properties of entities. While attribute data has been the main source of data for cluster analysis, relationship data such as social networks or metabolic networks are becoming increasingly available. It is also common to observe both data types… (More)

- Boaz Ben-Moshe, Joseph S. B. Mitchell, Matthew J. Katz, Yuval Nir
- Symposium on Computational Geometry
- 2002

The terrain surface simplification problem has been studied extensively, as it has important applications in geographic information systems and computer graphics. The goal is to obtain a new surface that is combinatorially as simple as possible, while maintaining a prescribed degree of similarity with the original input surface. Generally, the approximation… (More)

- Boaz Ben-Moshe, Paz Carmi, Matthew J. Katz
- ALENEX/ANALC
- 2004

Given a terrain T and a point p on or above it, we wish to compute the region R p that is visible from p. We present a generic radar-like algorithm for computing an approximation of R p. The algorithm extrapolates the visible region between two consecutive rays (emanating from p) whenever the rays are close enough; that is, whenever the difference between… (More)

- Boaz Ben-Moshe, Binay K. Bhattacharya, Qiaosheng Shi
- ISAAC
- 2005

In this paper, we provide efficient algorithms for solving the weighted center problems in a cactus graph. In particular, an O(n log n) time algorithm is proposed that finds the weighted 1-center in a cactus graph, where n is the number of vertices in the graph. For the weighted 2-center problem, an O(n log 3 n) time algorithm is devised for its continuous… (More)

- Yehuda Ben-Shimol, Boaz Ben-Moshe, Yoav Ben-Yehezkel, Amit Dvir, Michael Segal
- J. Heuristics
- 2007

Attribute data and relationship data are two principal types of data, representing the intrinsic and extrinsic properties of entities. While attribute data have been the main source of data for cluster analysis, relationship data such as social networks or metabolic networks are becoming increasingly available. It is also common to observe both data types… (More)

- Boaz Ben-Moshe, Matthew J. Katz, Michael Segal
- CCCG
- 1999

We present eecient algorithms for several instances of the following facility location problem. (Facilities and demand sites are represented as points in the plane.) Place k obnoxious facilities, with respect to n given demand sites and m given regions, where the goal is to maximize the minimal distance between a demand site and a facility, under the… (More)

- Boaz Ben-Moshe, Binay K. Bhattacharya, Qiaosheng Shi, Arie Tamir
- Theor. Comput. Sci.
- 2007

Efficient algorithms for solving the center problems in weighted cactus networks are presented. In particular, we have proposed the following algorithms for the weighted cactus networks of size n: an O(n log n) time algorithm to solve the 1-center problem, an O(n log 3 n) time algorithm to solve the weighted continuous 2-center problem. We have also… (More)