The input to the asymmetric p-center problem consists of an integer p and an n = n distance matrix D defined on a vertex set V of size n, where d gives the i j distance from i to j. The distances are assumed to obey the triangle inequality. For a subset S : V the radius of S is the minimum distance
An approximation algorithm for the edge-dilation k-center problem
✍ Scribed by Jochen Könemann; Yanjun Li; Ojas Parekh; Amitabh Sinha
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 227 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0167-6377
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
We present the first constant-factor approximation algorithm for the metric k-median problem. The k-median problem is one of the most wellstudied clustering problems, i.e., those problems in which the aim is to partition a given set of points into clusters so that the points within a cluster are rel
We consider the k-level stochastic facility location problem. For this, we present an LP rounding algorithm that is 3-approximate. This result is achieved by a novel integer linear programming formulation that exploits the stochastic structure.