An O(nd) lower bound on the number of cell crossings for weighted shortest paths in d-dimensional polyhedral structures

被引:1
作者
Bauernoeppel, Frank [1 ]
Maheshwari, Anil [2 ]
Sack, Joerg-Ruediger [2 ]
机构
[1] Hsch Tech & Wirtschaft, Comp Engn, D-10313 Berlin, Germany
[2] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada
来源
COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS | 2022年 / 107卷
基金
加拿大自然科学与工程研究理事会;
关键词
Computational geometry; Algorithms; Computational complexity; Weighted shortest path; Lower bound;
D O I
10.1016/j.comgeo.2022.101897
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The d-dimensional weighted region shortest path problem asks for finding a shortest path between two given points s and t in a d-dimensional polyhedral structure consisting of polyhedral cells having individual positive weights. It is a generalization of the d-dimensional unweighted (Euclidean) shortest path problem for polyhedral structures. In the unweighted (Euclidean) setting, a shortest path visits, due to cell convexity, each polyhedral cell at most once. Surprisingly, this is no longer true for the weighted setting, which is a strong motivation for studying the complexity of weighted shortest paths in polyhedral structures. Previously, omega(n(2)), respectively omega(n(3)) lower bounds on the maximum number of cell crossings for weighted shortest paths in 2-dimensional, respectively 3-dimensional polyhedral structures have been obtained. In this paper, a new lower bound of omega(n(d)) is derived on the maximum number of cell crossings a weighted shortest path could take in d-dimensional polyhedral structures consisting of a linear number of O(n) polyhedral cells and cell faces. This new result is a generalization and sharpening of the formerly known lower bounds and has been a longstanding open problem for the general d-dimensional case. (C) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:12
相关论文
共 22 条
[1]   Determining approximate shortest paths on weighted polyhedral surfaces [J].
Aleksandrov, L ;
Maheshwari, A ;
Sack, JR .
JOURNAL OF THE ACM, 2005, 52 (01) :25-53
[2]   An Approximation Algorithm for Computing Shortest Paths in Weighted 3-d Domains [J].
Aleksandrov, Lyudmil ;
Djidjev, Hristo ;
Maheshwari, Anil ;
Sack, Joerg-Ruediger .
DISCRETE & COMPUTATIONAL GEOMETRY, 2013, 50 (01) :124-184
[3]   Algorithms for Approximate Shortest Path Queries on Weighted Polyhedral Surfaces [J].
Aleksandrov, Lyudmil ;
Djidjev, Hristo N. ;
Guo, Hua ;
Maheshwari, Anil ;
Nussbaum, Doron ;
Sack, Joerg-Ruediger .
DISCRETE & COMPUTATIONAL GEOMETRY, 2010, 44 (04) :762-801
[4]  
[Anonymous], 2021, VISUALIZATION TOOLKI
[5]  
Bauernppel F., 2020, LECT NOTES COMPUTER, V12118, P235
[6]  
Boost C++ Libraries, 2021, US
[7]   A survey of geodesic paths on 3D surfaces [J].
Bose, Prosenjit ;
Maheshwari, Anil ;
Shu, Chang ;
Wuhrer, Stefanie .
COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 2011, 44 (09) :486-498
[8]  
Canny J., 1987, 28th Annual Symposium on Foundations of Computer Science (Cat. No.87CH2471-1), P49, DOI 10.1109/SFCS.1987.42
[9]  
Cheng S., 2015, P 26 ANN ACM SIAM S, P1626
[10]   A note on the unsolvability of the weighted region shortest path problem [J].
De Carufel, Jean-Lou ;
Grimm, Carsten ;
Maheshwari, Anil ;
Owen, Megan ;
Smid, Michiel .
COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 2014, 47 (07) :724-727