H Du, Y Xu - Journal of Combinatorial Optimization, 2014 - Springer
This paper studies the constrained version of the k-center location problem. Given a convex polygonal region, every point in the region originates a service demand. Our objective is to …
P Brass, C Knauer, HS Na, CS Shin… - International Journal of …, 2011 - World Scientific
In this paper we study several instances of the aligned k-center problem where the goal is, given a set of points S in the plane and a parameter k⩾ 1, to find k disks with centers on a …
M Rema, R Subashini, S Methirumangalath… - … Conference on Frontiers …, 2023 - Springer
Given a line segment arrangement, defined as the geometric structure induced by a set of n line segments in a plane, we study the complexity of two covering problems—Cell Cover for …
In this paper we consider several instances of the k-center on a line problem where the goal is, given a set of points S in the plane and a parameter k>= 1, to find k disks with centers on …
J Choi, D Jeong, HK Ahn - Computational Geometry, 2023 - Elsevier
We consider the planar two-center problem for a convex polygon: given a convex polygon in the plane, find two congruent disks of minimum radius whose union contains the polygon …
We provide the solution for a fundamental problem of geometric optimization by giving a complete characterization of worst-case optimal disk coverings of rectangles: For any λ≥ 1 …
H Du, Y Xu, B Zhu - Journal of Combinatorial Optimization, 2015 - Springer
This paper studies an incremental version of the k-center problem with centers constrained to lie on boundary of a convex polygon. In the incremental k-center problem we considered …
S Sadhu, S Roy, SC Nandy, S Roy - Theoretical Computer Science, 2019 - Elsevier
This paper discusses the problem of covering and hitting a set of line segments L in R 2 by a pair of axis-parallel congruent squares of minimum size. We also discuss the restricted …
M Eskandari, BB Khare, N Kumar - arXiv preprint arXiv:2107.07914, 2021 - arxiv.org
We study a generalization of $ k $-center clustering, first introduced by Kavand et. al., where instead of one set of centers, we have two types of centers, $ p $ red and $ q $ blue, and …