Generalized k-Center: Distinguishing Doubling and Highway Dimension

09/01/2022
by   Andreas Emil Feldmann, et al.
0

We consider generalizations of the k-Center problem in graphs of low doubling and highway dimension. For the Capacitated k-Supplier with Outliers (CkSwO) problem, we show an efficient parameterized approximation scheme (EPAS) when the parameters are k, the number of outliers and the doubling dimension of the supplier set. On the other hand, we show that for the Capacitated k-Center problem, which is a special case of CkSwO, obtaining a parameterized approximation scheme (PAS) is W[1]-hard when the parameters are k, and the highway dimension. This is the first known example of a problem for which it is hard to obtain a PAS for highway dimension, while simultaneously admitting an EPAS for doubling dimension.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/17/2020

W[1]-Hardness of the k-Center Problem Parameterized by the Skeleton Dimension

In the k-Center problem, we are given a graph G=(V,E) with positive edge...
research
02/23/2018

The Parameterized Hardness of the k-Center Problem in Transportation Networks

In this paper we study the hardness of the k-Center problem on inputs th...
research
05/06/2018

Generalized Center Problems with Outliers

We study the F-center problem with outliers: given a metric space (X,d),...
research
04/24/2018

Measuring the Intrinsic Dimension of Objective Landscapes

Many recently trained neural networks employ large numbers of parameters...
research
12/14/2021

Parameterized codes over graphs

In this article we review known results on parameterized linear codes ov...
research
07/20/2017

Parameterized Approximation Algorithms for Directed Steiner Network Problems

(See paper for full abstract) Given an edge-weighted directed graph G=...
research
04/19/2022

An Efficient Algorithm for the Proximity Connected Two Center Problem

Given a set P of n points in the plane, the k-center problem is to find ...

Please sign up or login with your details

Forgot password? Click here to reset