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UNLV Theses, Dissertations, Professional Papers, and Capstones

Theses/Dissertations

2019

Approximation

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Approximation Algorithms For Illuminating 1.5d Terrain, Jiwan Khatiwada May 2019

Approximation Algorithms For Illuminating 1.5d Terrain, Jiwan Khatiwada

UNLV Theses, Dissertations, Professional Papers, and Capstones

We review important algorithmic results for the coverage of 1.5D terrain by point guards. Finding the minimum number of point guards for covering 1.5D terrain is known to be NP-hard. We propose two approximation algorithms for covering 1.5D terrain by a fewer number of point guards. The first algorithm (Greedy Ranking Algorithm) is based on ranking vertices in term of number of visible edges from them. The second algorithm (Greedy Forward Marching Algorithm) works in greedy manner by scanning the terrain from left to right. Both algorithms are implemented in Python 2.7 programming language.