Arboricity and subgraph listing algorithms
SIAM Journal on Computing
Tetrahedrizing point sets in three dimensions
Journal of Symbolic Computation
On the difficulty of triangulating three-dimensional nonconvex polyhedra.
Discrete & Computational Geometry
Finding minimal triangulations of convex 3-polytopes is NP-hard
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Approximation of Minimum Triangulation for Polyhedron with Bounded Degrees
ISAAC '01 Proceedings of the 12th International Symposium on Algorithms and Computation
Approximating the minimum triangulation of convex 3-polytopes with bounded degrees
Computational Geometry: Theory and Applications
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The minimum triangulation of a convex polyhedron is a triangulation that contains the minimum number of tetrahedra over all its possible triangulations. Since finding the minimum triangulation of convex polyhedra was recently shown to be NP-hard, it becomes significant to find algorithms that give good approximation. In this paper, we give a new triangulation algorithm with an improved approximation ratio 2 - &OHgr;(1/√n). We also show that this is best possible for algorithms that only consider the combinatorial structure of the polyhedra.