Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1142143 | Operations Research Letters | 2016 | 4 Pages |
Abstract
We consider the one-dimensional one-center problem on uncertain data. We are given a set PP of nn (weighted) uncertain points on a real line LL and each uncertain point is specified by a probability density function that is a piecewise-uniform function (i.e., a histogram). The goal is to find a point cc (the center ) on LL such that the maximum expected distance from cc to all uncertain points of PP is minimized. We present a linear-time algorithm for this problem.
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
Haitao Wang, Jingru Zhang,