搜索结果: 1-15 共查到“数学 random graphs”相关记录19条 . 查询时间(0.284 秒)
Reconstruction for models on random graphs
Random variables algorithms the random sequence diagram
2015/8/21
Consider a collection of random variables attached to the vertices of a graph. The reconstruction problem requires to estimate one of them given ‘far away’ observations. Several theoretical results (a...
We present a simple and efficient algorithm for randomly generating simple graphs without small cycles. These graphs can be used to design high performance Low-Density Parity-Check (LDPC) codes. ...
Gibbs Measures and Phase Transitions on Sparse Random Graphs
Random graphs Ising model Gibbs measures Phase transitions Spin models Local weak convergence
2015/8/20
Many problems of interest in computer science and information theory can be phrased in terms of a probability distribution over discrete variables associated to the vertices of a large (but finite) sp...
Mixing times for random walks on geometric random graphs
Random geometric random graph nodes wireless network model and threshold properties random walk figure d dimension
2015/8/11
A geometric random graph, G^d(n,r), is formed as follows: place n nodes uniformly at random onto the surface of the d-dimensional unit torus and connect nodes which are within a distance r of each oth...
GRAPH LIMITS AND EXCHANGEABLE RANDOM GRAPHS
Figure restrictions and can exchange random graph
2015/7/8
GRAPH LIMITS AND EXCHANGEABLE RANDOM GRAPHS。
A SEQUENTIAL IMPORTANCE SAMPLING ALGORITHM FOR GENERATING RANDOM GRAPHS WITH PRESCRIBED DEGREES
Sequential sampling algorithms the random graph degree
2015/7/8
A SEQUENTIAL IMPORTANCE SAMPLING ALGORITHM FOR GENERATING RANDOM GRAPHS WITH PRESCRIBED DEGREES。
RANDOM GRAPHS WITH A GIVEN DEGREE SEQUENCE。
For a graph $G$, denote by $t(G)$ (resp. $b(G)$) the maximum size of a triangle-free (resp. bipartite) subgraph of $G$. Of course $t(G) \geq b(G)$ for any $G$, and a classic result of Mantel from 1907...
Cover times for sequences of Markov chains on random graphs
Random walk Cover time Maximal hitting time Random graph
2012/6/15
We provide conditions that classify cover times for sequences of random walks on random graphs into two types: One type (type 1) is the class of cover times approximated by the maximal hitting times s...
On rainbow-k-connectivity of random graphs
Rainbow connectivity Random graph Graph algorithms Sharp threshold function Probabilistic method
2012/12/4
A path in an edge-colored graph is called a rainbow path if the edges on it have distinct colors. For k 1, the rainbow-k-connectivity of a graph G, denoted by rck(G), is the minimum number of colors...
On a Greedy 2-Matching Algorithm and Hamilton Cycles in Random Graphs with Minimum Degree at Least Three
Greedy 2-Matching Algorithm Hamilton Cycles Random Graphs Minimum Degree
2011/9/20
Abstract: We describe and analyse a simple greedy algorithm \2G\ that finds a good 2-matching $M$ in the random graph $G=G_{n,cn}^{\d\geq 3}$ when $c\geq 15$. A 2-matching is a spanning subgraph of ma...
A path in an edge-colored graph is called a rainbow path if all edges on it have pairwise
distinct colors. For k ≥ 1, the rainbow-k-connectivity of a graph G, denoted rck(G), is the
minimum number o...
Induced subgraphs in sparse random graphs with given degree sequence
Induced subgraphs math
2010/11/22
For any $S\subset [n]$, we compute the probability that the subgraph of $\mathcal{G}_{n,d}$ induced by $S$ is a given graph $H$ on the vertex set $S$. The result holds for any $d=o(n^{1/3})$ and is fu...
Spectral distributions of adjacency and Laplacian matrices of random graphs
Spectral distributions Laplacian matrices random graphs
2010/11/18
In this paper, we investigate the spectral properties of the adjacency and the Laplacian matrices of random graphs. We prove that: (i) the law of large numbers for the spectral norms and the largest ...
A probabilistic approach to local limit theorems with applications to random graphs
local limit theorems applications to random graphs
2010/11/19
In this article, we develop a general method to obtain local limit theorems from distributional limit theorems. Our results use probabilistic arguments and yield explicit bounds on the quality of app...