Results 271 to 280 of about 1,732,021 (308)
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The distribution of the root degree of a random permutation
Combinatorica, 2009Given a permutation ω of {1, …, n}, let R(ω) be the root degree of ω, i.e. the smallest (prime) integer r such that there is a permutation σ with ω = σ r . We show that, for ω chosen uniformly at random, R(ω) = (lnlnn − 3lnlnln n + O p (1))−1 lnn, and find the limiting distribution of the remainder term.
Béla Bollobás, Boris G. Pittel
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Analysis of the degree distribution for LT codes
International Journal of Wireless and Mobile Computing, 2014As the first type of practical fountain codes, LT codes are used in various applications. Although the performance of an LT code is determined by the parameters of the Robust Soliton Distribution RSD, this relationship remains largely unclear. In this paper, we analytically study the relationship between the mean degree value of the RSD and the ...
Guo Tai Chen, Lei Cao, Haifeng Zheng
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Dynamics of degree distributions of social networks
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017Social network models aim to capture the complex structure of social connections. They are a framework for the design of control algorithms that take into account relationships, interactions, and communications between social actors. Based on three formation mechanisms — random attachment, triad formation, and network response — our work characterizes ...
Isabel Fernández 0002 +2 more
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Combined degree distribution: A simple method to design the degree distribution of fountain codes
2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013The degree distribution of Fountain Codes has a very important influence on Fountain Codes decoding process. So optimizing the Fountain Codes degree distribution is very significant. In this paper, we present a new way to design the degree distribution with the idea of combining several different degree distributions and integrating them to one degree ...
Meng Zhang, Weijia Lei, Xianzhong Xie
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Determination of the distributions of degrees of acetylation of chitosan
International Journal of Biological Macromolecules, 2017Chitosan is often characterized by its average degree of acetylation. To increase chitosan's use in various industries, a more thorough characterization is necessary as the acetylation of chitosan affects properties such as dissolution and mechanical properties of chitosan films.
Thevarajah, Joel Jerushan +4 more
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Distribution of Vertex Degree in Web-Graphs
Combinatorics, Probability and Computing, 2006We give results for the age-dependent distribution of vertex degree and number of vertices of given degree in the undirected web-graph process, a discrete random graph process introduced in [8]. For such processes we show that as $k \rightarrow \infty$, the expected proportion of vertices of degree $k$ has power law parameter $1+1/\eta$ where $\eta$ is
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Design of degree distributions for LDPCA codes
IEEE Communications Letters, 2009A degree distribution design method of low-density parity-check accumulate (LDPCA) codes is proposed for rate-compatible asymmetric Slepian-Wolf coding (SWC) of correlated binary memoryless sources. The degree distribution is designed by seeking the simultaneous optimum at the lowest and the highest compression rates of the specified range with density
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The distribution of the generic recursively enumerable degrees
Archive for Mathematical Logic, 1992Problems of densities of \(e\)-generic, \(s\)-generic and \(p\)-generic degrees are investigated and the following theorems are proved. Theorem 3.1. Let \({\mathbf a}\) be \(p\)-generic. Then \({\mathbf a}\) is non-branching. Corollary 3.3. The non-\(p\)-generic degrees are dense in the r.e. degrees. This theorem affirmatively answers a question raised
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Journal of Chemical Information and Computer Sciences, 1993
Theodore I. Bieber, Mark D. Jackson
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Theodore I. Bieber, Mark D. Jackson
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The Degree Distribution in Random Intersection Graphs
2012We study the degree distribution in a general random intersection graph introduced by Godehardt and Jaworski (Exploratory Data Analysis in Empirical Research, pp. 68–81, Springer, Berlin, 2002). The model has shown to be useful in many applications, in particular in the analysis of the structure of data sets. Recently Bloznelis (Lithuanian Math J 48:38–
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