Publication | Open Access
Approximating shortest paths on a convex polytope in three dimensions
72
Citations
18
References
1997
Year
Mathematical ProgrammingEngineeringComputational ComplexityConvex HullConvex PolytopePath ProblemsGomory-chvátal TheoryDiscrete MathematicsCombinatorial OptimizationComputational GeometryApproximation TheoryGeometric ModelingPath PlanningComputer ScienceConvex Polytope PGeometric AlgorithmShortest PathSource PointNatural SciencesRoute PlanningConvex Optimization
Given a convex polytope P with n faces in ℝ 3 , points ∈ ∂P, and a parameter 0 < ϵ ≤ 1, we present an algorithm that constructs a path on ∂P from s to t whose length is at most (1 + ϵ) d p (s, t) , where d p (s, t) is the length of the shortest path between s and t on ∂P. The algorithm runs in O(n log 1/ϵ + 1/ϵ 3 ) time, and is relatively simple. The running time is O(n + 1/ϵ 3 ) if we only want the approximate shortest path distance and not the path itself. We also present an extension of the algorithm that computes approximate shortest path distances from a given source point on ∂P to all vertices of P .
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