"Color spanning objects: Algorithms and hardness results" by Sandip Banerjee, Neeldhara Misra et al.
 

Color spanning objects: Algorithms and hardness results

Document Type

Conference Article

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

In this paper, we study the Shortest Color Spanning Intervals problem, and related generalizations, namely Smallest Color Spanning t Squares and Smallest Color Spanning t Circles. The generic setting is the following: we are given n points in the plane (or on the line), each colored with one of k colors, and for each color i we also have a demand si. Given a budget t, we are required to find at most t objects (for example, intervals, squares, circles, etc.) that cover at least si points of color i. Typically, the goal is to minimize the maximum perimeter or area. We provide exact algorithms for these problems for the cases of intervals, circles and squares, generalizing several known results. In the case of intervals, we provide a comprehensive understanding of the complexity landscape of the problem after taking several natural parameters into account. Given that the problem turns out to be W[1]-hard parameterized by the standard parameters, we introduce a new parameter, namely sparsity, and prove new hardness and tractability results in this context. For squares and circles, we use existing algorithms of one smallest color spanning object in order to design algorithms for getting t identical objects of minimum size whose union spans all the colors.

First Page

37

Last Page

48

DOI

10.1007/978-3-319-29221-2_4

Publication Date

1-1-2016

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