交替群网络中独立生成树的递归与并行构造

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Jie-Fu Huang, S. Hsieh
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引用次数: 0

摘要

本文提出了一种递归算法和一种并行算法来构造人工神经网络中的独立生成树。递归算法的主要思想是由小树构造大树,使用三角形宽度优先搜索(TBFS)构建IST的框架,并使用宽度优先搜索(BFS)连接其余节点。并行算法的主要思想是通过TBFS并行构建帧,并使用特定的规则将其余节点并行连接起来。我们证明了这两种算法在ann中构造list的正确性。两种算法都是准确的;此外,并行算法比递归算法效率更高。(本文的扩展摘要发表在:黄洁福和谢孙元“在交替组网络中构建独立生成树的两种方法”,《国际创意生活方式计算会议论文集》,2020。)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recursive and parallel constructions of independent spanning trees in alternating group networks
In this paper, we propose a recursive algorithm and a parallel algorithm for constructing independent spanning trees in ANn. The main ideas of the recursive algorithm are to construct large trees from small trees, use triangle breadth-first search (TBFS) to build a frame of an IST, and use breadth-first search (BFS) to link the rest of the nodes. The main ideas of the parallel algorithm are to build frames through TBFS in parallel, and to use the specific rules to link the rest of the nodes in parallel. We prove the correctness of both algorithms for constructing ISTs in AN n . Both algorithms are accurate; furthermore, the parallel algorithm is more ecient than the recursive algorithm. (An extended abstract of this paper appeared in: Jie-Fu Huang and Sun-Yuan Hsieh ‘Two methods for constructing independent spanning trees in alternating group networks’ Proceedings of International Conference on Creative Lifestyle Computing (ICCLC), 2020.)
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来源期刊
International Journal of Computer Mathematics: Computer Systems Theory
International Journal of Computer Mathematics: Computer Systems Theory Computer Science-Computational Theory and Mathematics
CiteScore
1.80
自引率
0.00%
发文量
11
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