Study on Asymptotic Property of Additive-Accelerated Mean Regression Model
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Cryptographic Properties and Quadratic Equations of S-Box in SMS4
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p.54
An Optimized Method for Access of LOBs in Database Management Systems
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p.58
Uncertain Data Privacy Protection Based on K-Anonymity via Anatomy
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p.64
Embedding Complete Binary Trees into Locally Twisted Cubes
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p.70
An Error-Reduction Method for Temporal Phase Unwrapping Based on Double Three-Step Phase-Shifting and Least-Squares Fitting
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p.76
Research on Clustering Analysis of Big Data
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p.82
Optimization Method of Estimating the Leaf Mass of a Tree
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Additive-Accelerated Mean Regression Model for Multiple Type Recurrent Events
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p.93
Embedding Complete Binary Trees into Locally Twisted Cubes
Abstract:
The locally twisted cube is a newly introduced interconnection network for parallel computing, which possesses many desirable properties. In this paper, the problem of embedding complete binary trees into locally twisted cubes is studied.Let LTQn(V;E) denote the n-dimensional locally twisted cube.We find the following result in this paper: for any integern ā„ 2,we show that a complete binary tree with 2nā1 nodes can be embedded into the LTQn with dilation 2.
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Periodical:
Advanced Engineering Forum (Volumes 6-7)
Pages:
70-75
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Online since:
September 2012
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