Shortest Path Map Equivalence Decompositions and Applications
This paper provides new upper bounds and algorithms for the shortest path map equivalence decomposition of a polygonal domain, leading to solutions for two-point shortest path queries, geodesic diameter, and center.
Provides new bounds and algorithms for computing shortest path map equivalence decompositions
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Applications
- →Two-point shortest path queries
- →Computing geodesic diameter and center
To understand this paper, make sure you know these concepts first:
- Graph theoryfind papers →
- Shortest path algorithmsfind papers →
Abstract
More Like ThisGiven a polygonal domain $P$ in the plane, the shortest path map with respect to a point $s$, denoted by $SPM(s)$, is the decomposition of $P$ into cells such that shortest paths from $s$ to all points $t$ in the same cell have the same vertex sequence. The shortest path map equivalence decomposition of $P$ is the decomposition of $P$ into cells so that $SPM(s)$ is topologically equivalent for all points $s$ in the same cell. In this paper, we prove new upper bounds on the combinatorial complexities of the $SPM$-equivalence decompositions under various settings, depending on whether $s$ and/or $t$ are restricted to the boundary of $P$. We also propose new algorithms to compute these decompositions. Further, our results lead to new solutions to several other problems, including answering two-point shortest path queries in $P$, and computing geodesic diameter and center of $P$.