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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/73603
Title: 
Vectorized algorithms for quadtree construction and descent
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
  • 0302-9743
  • 1611-3349
Abstract: 
This paper presents vectorized methods of construction and descent of quadtrees that can be easily adapted to message passing parallel computing. A time complexity analysis for the present approach is also discussed. The proposed method of tree construction requires a hash table to index nodes of a linear quadtree in the breadth-first order. The hash is performed in two steps: an internal hash to index child nodes and an external hash to index nodes in the same level (depth). The quadtree descent is performed by considering each level as a vector segment of a linear quadtree, so that nodes of the same level can be processed concurrently. © 2012 Springer-Verlag.
Issue Date: 
1-Oct-2012
Citation: 
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7439 LNCS, n. PART 1, p. 69-82, 2012.
Time Duration: 
69-82
Keywords: 
  • Breadth-first
  • Child node
  • Hash table
  • Index nodes
  • Linear quadtree
  • Quad trees
  • Time complexity
  • Tree construction
  • Parallel architectures
  • Algorithms
Source: 
http://dx.doi.org/10.1007/978-3-642-33078-0_6
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/73603
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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