Data structures and network algorithms
Data structures and network algorithms
Algorithms in combinatorial geometry
Algorithms in combinatorial geometry
Efficiency of a Good But Not Linear Set Union Algorithm
Journal of the ACM (JACM)
Two-Dimensional Voronoi Diagrams in the Lp-Metric
Journal of the ACM (JACM)
The Relative Neighborhood Graph, with an Application to Minimum Spanning Trees
Journal of the ACM (JACM)
An improved equivalence algorithm
Communications of the ACM
Computing geographic nearest neighbors using monotone matrix searching (preliminary version)
CSC '90 Proceedings of the 1990 ACM annual conference on Cooperation
Relative neighborhood graphs in three dimensions
SODA '92 Proceedings of the third annual ACM-SIAM symposium on Discrete algorithms
Approximate nearest neighbor queries in fixed dimensions
SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
From reaction-diffusion to Physarum computing
Natural Computing: an international journal
Encapsulating reaction-diffusion computers
MCU'07 Proceedings of the 5th international conference on Machines, computations, and universality
On the representation of a digital contour with an unordered point set for visual perception
Journal of Visual Communication and Image Representation
The bottleneck 2-connected k-Steiner network problem for k≤2
Discrete Applied Mathematics
New sequential and parallel algorithms for computing the β-spectrum
FCT'13 Proceedings of the 19th international conference on Fundamentals of Computation Theory
Hi-index | 0.00 |
Two new algorithms finding relative neighborhood graph RNG(V) for a set V of n points are presented. The first algorithm solves this problem for input points in (R2,Lp) metric space in time &Ogr;(n &agr;(n,n)) if the Delaunay triangulation DT(V) is given. This time performance is achieved due to attractive and natural application of FIND-UNION data structure to represent so-called elimination forest of edges in DT(V). The second algorithm solves the relative neighborhood graph problem in (Rd,Lp), 1 2) when no three points in V form an isosceles triangle. The complexity analysis of this algorithm is based on some general facts pertaining to properties of equilateral triangles in the metric space (Rd,Lp).