Approximation algorithms for shortest descending paths in terrains

被引:9
|
作者
Ahmed, Mustaq [1 ]
Das, Sandip [2 ]
Lodha, Sachin [3 ]
Lubiw, Anna [1 ]
Maheshwari, Anil [4 ]
Roy, Sasanka [3 ]
机构
[1] Univ Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, Canada
[2] Indian Stat Inst, Kolkata, India
[3] Tata Consultancy Serv Ltd, Pune, Maharashtra, India
[4] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Descending path; Gently descending path; Shortest path; Approximation algorithm; Terrain; Computational geometry;
D O I
10.1016/j.jda.2009.05.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to find a shortest descending path (SDP) from s to t in a polyhedral terrain. We present two approximation algorithms that solve the SDP problem on general terrains. We also introduce a generalization of the shortest descending path problem, called the shortest gently descending path (SGDP) problem, where a path descends, but not too steeply. The additional constraint to disallow a very steep descent makes the paths more realistic in practice. We present two approximation algorithms to solve the SGDP problem on general terrains. All of our algorithms are simple, robust and easy to implement. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:214 / 230
页数:17
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