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A Fast Shortest Path Algorithm on Terrain-like Graphs
- Source :
- Discrete & Computational Geometry. 66:737-750
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Terrain visibility graphs are a well-known graph class in computational geometry. They are closely related to polygon visibility graphs, but a precise graph-theoretical characterization is still unknown. Over the last decade, terrain visibility graphs attracted considerable attention in the context of time series analysis (there called time series visibility graphs) with various practical applications in areas such as physics, geography, and medical sciences. Computing shortest paths in visibility graphs is a common task, for example, in line-of-sight communication. For time series analysis, graph characteristics involving shortest paths lengths (such as centrality measures) have proven useful. In this paper, we devise a fast output-sensitive shortest path algorithm on a superclass of terrain visibility graphs called terrain-like graphs (including all induced subgraphs of terrain visibility graphs). Our algorithm runs in $$O(d^*\log \varDelta )$$ O ( d ∗ log Δ ) time, where $$d^*$$ d ∗ is the length (that is, the number of edges) of the shortest path and $$\varDelta $$ Δ is the maximum vertex degree. Alternatively, with an $$O(n^2)$$ O ( n 2 ) -time preprocessing our algorithm runs in $$O(d^*)$$ O ( d ∗ ) time.
- Subjects :
- Terrain
0102 computer and information sciences
02 engineering and technology
01 natural sciences
Graph
Theoretical Computer Science
Combinatorics
Computational Theory and Mathematics
010201 computation theory & mathematics
020204 information systems
Shortest path problem
0202 electrical engineering, electronic engineering, information engineering
Discrete Mathematics and Combinatorics
Preprocessor
Geometry and Topology
ddc:510
Time series
Centrality
Dijkstra's algorithm
ComputingMethodologies_COMPUTERGRAPHICS
MathematicsofComputing_DISCRETEMATHEMATICS
Mathematics
Subjects
Details
- ISSN :
- 14320444 and 01795376
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- Discrete & Computational Geometry
- Accession number :
- edsair.doi.dedup.....f9bdea5d0db08c1b0085938b0cf04ff5
- Full Text :
- https://doi.org/10.1007/s00454-020-00226-8