English

The Runaway Rectangle Escape Problem

Computational Geometry 2016-03-16 v2 Data Structures and Algorithms

Abstract

Motivated by the applications of routing in PCB buses, the Rectangle Escape Problem was recently introduced and studied. In this problem, we are given a set of rectangles S\mathcal{S} in a rectangular region RR, and we would like to extend these rectangles to one of the four sides of RR. Define the density of a point pp in RR as the number of extended rectangles that contain pp. The question is then to find an extension with the smallest maximum density. We consider the problem of maximizing the number of rectangles that can be extended when the maximum density allowed is at most dd. It is known that this problem is polynomially solvable for d=1d = 1, and NP-hard for any d2d \geq 2. We consider approximation and exact algorithms for fixed values of dd. We also show that a very special case of this problem, when all the rectangles are unit squares from a grid, continues to be NP-hard for d=2d = 2.

Keywords

Cite

@article{arxiv.1603.04210,
  title  = {The Runaway Rectangle Escape Problem},
  author = {Aniket Basu Roy and Anil Maheshwari and Sathish Govindarajan and Neeldhara Misra and Subhas C Nandy and Shreyas Shetty},
  journal= {arXiv preprint arXiv:1603.04210},
  year   = {2016}
}

Comments

26 pages, 7 figures, A preliminary version appeared in the Proceedings of the 26th Canadian Conference on Computational Geometry, 2014

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