We present a novel approximation algorithm for k-median that achieves an approximation guarantee of 1 + 3 + , improving upon the decade-old ratio of 3 + . Our approach is based on two components, each of which, we believe, is of independent interest. First, we show that in order to give an α-approximation algorithm for k-median, it is sufficient to give a pseudo-approximation algorithm that finds an α-approximate solution by opening k + O(1) facilities. This is a rather surprising result as there exist instances for which opening k + 1 facilities may lead to a significant smaller cost than if only k facilities were opened. Second, we give such a pseudo-approximation algorithm with α = 1 + 3 + . Prior to our work, it was not even known wheth...
The $k$-Facility Location problem is a generalization of the classical problems $k$-Median and Facil...
We consider the matroid median problem [11], wherein we are given a set of facilities with opening c...
We consider a robust variant of the classical k-median problem, introduced by Anthony et al. [2]. In...
We study the Capacitated k-Median problem for which existing constant-factor approximation algorithm...
This paper considers approximation algorithms for generalized k-median problems. This class of probl...
We give an improved approximation algorithm for the general k-medians problem. Given any \epsilon\u3...
In the k-median problem, given a set of locations, the goal is to select a subset of at most k cente...
In the k-median problem we are given a set S of n points in a metric space and a positive integer k....
In the k-median problem, given a set of locations, the goal is to select a subset of at most k cente...
In this paper we present approximation algorithms for median problems in metric spaces and fixed-dim...
AbstractWe present the first constant-factor approximation algorithm for the metric k-median problem...
We present improved combinatorial approximation algorithms for the uncapacitated facility location a...
The Reverse Greedy algorithm (RGreedy) for the k-median problem works as follows. It starts by placi...
We study the general (non-metric) facility-location and weighted k-medians problems, as well as the ...
We present the rst constant-factor approximation algorithm for the metric k-median problem. The k-me...
The $k$-Facility Location problem is a generalization of the classical problems $k$-Median and Facil...
We consider the matroid median problem [11], wherein we are given a set of facilities with opening c...
We consider a robust variant of the classical k-median problem, introduced by Anthony et al. [2]. In...
We study the Capacitated k-Median problem for which existing constant-factor approximation algorithm...
This paper considers approximation algorithms for generalized k-median problems. This class of probl...
We give an improved approximation algorithm for the general k-medians problem. Given any \epsilon\u3...
In the k-median problem, given a set of locations, the goal is to select a subset of at most k cente...
In the k-median problem we are given a set S of n points in a metric space and a positive integer k....
In the k-median problem, given a set of locations, the goal is to select a subset of at most k cente...
In this paper we present approximation algorithms for median problems in metric spaces and fixed-dim...
AbstractWe present the first constant-factor approximation algorithm for the metric k-median problem...
We present improved combinatorial approximation algorithms for the uncapacitated facility location a...
The Reverse Greedy algorithm (RGreedy) for the k-median problem works as follows. It starts by placi...
We study the general (non-metric) facility-location and weighted k-medians problems, as well as the ...
We present the rst constant-factor approximation algorithm for the metric k-median problem. The k-me...
The $k$-Facility Location problem is a generalization of the classical problems $k$-Median and Facil...
We consider the matroid median problem [11], wherein we are given a set of facilities with opening c...
We consider a robust variant of the classical k-median problem, introduced by Anthony et al. [2]. In...