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Page 5695 of Mathematical Reviews Vol. , Issue 93j [page]

1993 Mathematical Reviews  
.” 93j:68156 68R10 68Q25 Ghosh, Subir Kumar (6-TIFR-CG); Maheshwari, Anil (6-TIFR-CM) An optimal parallel algorithm for computing furthest neighbors in a tree.  ...  We propose a parallel algorithm for computing a furthest neighbor of each vertex in a tree of size n with positive (real-valued) edge weights.  ... 

Reverse Furthest Neighbors in Spatial Databases

Bin Yao, Feifei Li, Piyush Kumar
2009 Proceedings / International Conference on Data Engineering  
Given a set of points P and a query point q, the reverse furthest neighbor (RFN) query fetches the set of points p ∈ P such that q is their furthest neighbor among all points in P ∪ {q}.  ...  Given a set of points P , a query set Q and a query point q ∈ Q, a BRFN query fetches the set of points p ∈ P such that q is the furthest neighbor of p among all points in Q.  ...  In this setting, we can optimize the CHFC algorithm by pre-computing P 's convex hull using R-tree and store C P for query processing.  ... 
doi:10.1109/icde.2009.62 dblp:conf/icde/YaoLK09 fatcat:3gq66oikhbhalbkwc2ngg52jv4

Page 1818 of Mathematical Reviews Vol. , Issue 96c [page]

1996 Mathematical Reviews  
The computational geometry problems are based on city block distance metrics: all nearest neighbors and furthest pairs of m points in a plane are computed on a two-criteria BSR with m processors, the all  ...  We also obtain a new deterministic algorithm which for a given collection H of n hyperplanes in E% and a parameter r < n computes a (1/r)-cutting of (asymptotically optimal) size O(r?).  ... 

ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain [article]

Shangdi Yu, Yiqiu Wang, Yan Gu, Laxman Dhulipala, Julian Shun
2022 arXiv   pre-print
We introduce two key optimizations that are critical for efficiency: a range query optimization that reduces the number of distance computations required when finding nearest neighbors of clusters, and  ...  a caching optimization that stores a subset of previously computed distances, which are likely to be reused.  ...  Therefore, we use an all-nearest-neighbor query for the first round, which we implemented by parallelizing the dual-tree traversal algorithm by March et al. [47] .  ... 
arXiv:2106.04727v3 fatcat:fsiw6empb5gzjbz4tyghdb7xnm

An efficient algorithm for the three-dimensional diameter problem

S. Bespamyatnikh
2001 Discrete & Computational Geometry  
We explore a new approach for computing the diameter of n points in R3 that is based on the restriction of the furthest-point Voronoi diagram to the convex hull.  ...  Using our approach the chromatic diameter and all-furthest neighbors in R3 can be found in the same running time.  ...  It would be interesting to find an optimal algorithm for computing the diameter using our approach.  ... 
doi:10.1007/s004540010086 fatcat:yfeaxdqzm5cbdkng3s5rkqbn4q

Broadcasting in Bloom Graph

D. Antony Xavier, Rosary Maria Singaraj, Elizabeth Thomas, Andrew Arokiaraj
2016 International Journal of Mathematics and Soft Computing  
In this paper, we analyse the broadcasting for bloom graph and prove that the broadcast time of bloom graph is at most two time units more than the optimal time. − 1, m ≤ n.  ...  Broadcasting is one of the types of global communication in interconnection networks. Broadcasting from a vertex of a graph is the simplest communication problem.  ...  An essential implementation of a parallel computing system depends mainly on the interconnection network.  ... 
doi:10.26708/ijmsc.2016.2.6.06 fatcat:xadym53jpnhqniexuxolzdjmie

Packing two disks in a polygon

Sergei Bespamyatnikh
2002 Computational geometry  
We present two algorithms for packing two largest disks in a polygon.  ...  The second algorithm finds two disks in a convex polygon such that the disks are separated by a diagonal of the polygon.  ...  There are several papers describing parallel algorithms for computing all-furthest-neighbors in a convex polygon [2, 9] .  ... 
doi:10.1016/s0925-7721(01)00044-x fatcat:ie7z44kuknapnco2z3ncytablu

ParGeo: A Library for Parallel Computational Geometry [article]

Yiqiu Wang, Rahul Yesantharao, Shangdi Yu, Laxman Dhulipala, Yan Gu, Julian Shun
2022 arXiv   pre-print
ParGeo contains modules for fundamental tasks including kd-tree based spatial search, spatial graph generation, and algorithms in computational geometry.  ...  This paper presents ParGeo, a multicore library for computational geometry.  ...  In this paper, we present the ParGeo library for parallel computational geometry, which includes a rich set of parallel algorithms for geometric problems and data structures, including kd-trees, k-nearest  ... 
arXiv:2207.01834v1 fatcat:4vdrhejamzcejhfyphdt6bhfee

Page 4819 of Mathematical Reviews Vol. , Issue 86j [page]

1986 Mathematical Reviews  
Author summary: “A linear algorithm is given for finding all sym- metric furthest neighbor pairs in the set of vertices of a simple polygon.  ...  (SA-CSIR) 86j:68115 On the determination of all pairs of symmetric furthest neighbor vertices of a simple polygon. Comput. Math. Appl. 11 (1985), no. 4, 347-353.  ... 

Ball*-tree: Efficient spatial indexing for constrained nearest-neighbor search in metric spaces [article]

Mohamad Dolatshah, Ali Hadian, Behrouz Minaei-Bidgoli
2015 arXiv   pre-print
In this paper, we propose Ball*-tree, an improved Ball-tree that is more efficient for spatial queries.  ...  Ball*-tree enjoys a modified space partitioning algorithm that considers the distribution of the data points in order to find an efficient splitting hyperplane.  ...  corner in order to find nearest neighbor which obviously cause an increment in complexity of search algorithm.  ... 
arXiv:1511.00628v1 fatcat:u27hgbpcvndyzlnqodpxicezra

Quantum-inspired anomaly detection, a QUBO formulation [article]

Julien Mellaerts
2023 arXiv   pre-print
With the advent of quantum computing, there has been a growing interest in developing quantum approaches to anomaly detection.  ...  Anomaly detection is a crucial task in machine learning that involves identifying unusual patterns or events in data.  ...  Quantum bits, or qubits, can exist in a superposition of states, allowing for parallel computation and the potential to perform complex calculations exponentially faster than classical computers for certain  ... 
arXiv:2311.03227v1 fatcat:wzfu6wh5hnfaxny622zo5b4foa

Voronoi diagrams for polygon-offset distance functions [chapter]

Gill Barequet, Matthew T. Dickerson, Michael T. Goodrich
1997 Lecture Notes in Computer Science  
In this paper we develop the concept of a polygon-o set distance function and show how to compute the respective nearest-and furthest-site Voronoi diagrams of point sites in the plane.  ...  We provide optimal deterministic O(n(log n + log m) + m)-time algorithms, where n is the number of points and m is the complexity of the underlying polygon, for computing compact representations of both  ...  Bose for helpful discussions on Voronoi diagrams. We also thank V. Mirelli for introducing us the concept of polygon o sets and their applications.  ... 
doi:10.1007/3-540-63307-3_60 fatcat:y5loxmfovvgxfbrlxe5yhbs2jy

Time-Optimal Proximity Graph Computations on Enhanced Meshes

Stephan Olariu, Ivan Stojmenović, Albert Y. Zomaya
1998 Journal of Parallel and Distributed Computing  
We begin by establishing a (log n) time lower bound for the task of computing the Euclidian minimum spanning tree of an n-vertex unimodal polygon.  ...  Our main contribution is to propose time-optimal algorithms for constructing the Euclidian minimum spanning tree, the all-nearest neighbor graph, the relative neighborhood graph, and the symmetric farthest  ...  ACKNOWLEDGMENT The authors thank four anonymous referees for their constructive comments and suggestions that have greatly contributed to enhancing the quality of this paper.  ... 
doi:10.1006/jpdc.1997.1421 fatcat:mwef5ubfbzdhziwk7cgvsxgvqi

Fast Distributed Backup Placement in Sparse and Dense Networks [article]

Leonid Barenboim, Gal Oren
2019 arXiv   pre-print
Given a network graph G = (V,E), the goal of each vertex v ∈ V is selecting a neighbor, such that the maximum number of vertices in V that select the same vertex is minimized.  ...  Their algorithm remained the state-of-the-art for general graphs, as well as specific graph topologies. In this paper we obtain significantly improved algorithms for various graph topologies.  ...  For simplicity, we describe our algorithm for a tree T in the forest. If there are more trees, the algorithm should be executed on all trees of the forest in parallel.  ... 
arXiv:1902.08819v2 fatcat:f5u7pdhkmrhn7fri3i5lh65vim

Fitting a Set of Points by a Circle

J. García-López, P. A. Ramos, J. Snoeyink
1998 Discrete & Computational Geometry  
a simple algorithm.  ...  Furthermore, when points are in convex position, the problem can be solved in optimal (n) time.  ...  Schwartzkopf for helpful discussions, P. Bose for letting us know about reference [13] , and Prof. G. Rote for pointing out some minor gaps in a previous version of this work.  ... 
doi:10.1007/pl00009392 fatcat:jt7jlptkvfbajjzgu35zgyxeca
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