On the tree-depth of Random Graphs
نویسندگان
چکیده
The tree–depth is a parameter introduced under several names as a measure of sparsity of a graph. We compute asymptotic values of the tree–depth of random graphs. For dense graphs, p n−1, the tree–depth of a random graph G is a.a.s. td(G) = n − O( √ n/p). Random graphs with p = c/n, have a.a.s. linear tree–depth when c > 1, the tree–depth is Θ(log n) when c = 1 and Θ(log log n) for c < 1. The result for c > 1 is derived from the computation of tree–width and provides a more direct proof of a conjecture by Gao on the linearity of tree–width recently proved by Lee, Lee and Oum [?]. We also show that, for c = 1, every width parameter is a.a.s. constant, and that random regular graphs have linear tree–depth.
منابع مشابه
A Linear-Processor Algorithm for Depth-First Search in Planar Graphs
We present an n-processor and O(lo~n)-time parallel RAM algorithm for finding a depth-first-search tree in an n·vertex planar graph. The algorithm is based on a new n-processor algorithm for finding a cyclic separator in a planar graph and Smith's original parallel depth-first-search algorithm for planar graphs [Smi86].
متن کاملCounting the number of spanning trees of graphs
A spanning tree of graph G is a spanning subgraph of G that is a tree. In this paper, we focus our attention on (n,m) graphs, where m = n, n + 1, n + 2, n+3 and n + 4. We also determine some coefficients of the Laplacian characteristic polynomial of fullerene graphs.
متن کاملAverage Costs of a Graph Exploration: Upper and Lower Bounds
We consider the exploration of random graphs. We give upper and lower bounds for the expected number of edges traversed during an exploration. This result implies a lower bound for the expected running time of a wide class of algorithms { e.g. Breadth-First-Search, Depth-First-Search, and algorithms to determine a minimum spanning tree or to solve the single source shortest paths problem in a w...
متن کاملBearing Capacity of Shallow Foundations on Cohesionless Soils: A Random Forest Based Approach
Determining the ultimate bearing capacity (UBC) is vital for design of shallow foundations. Recently, soft computing methods (i.e. artificial neural networks and support vector machines) have been used for this purpose. In this paper, Random Forest (RF) is utilized as a tree-based ensemble classifier for predicting the UBC of shallow foundations on cohesionless soils. The inputs of model are wi...
متن کاملIncremental DFS algorithms: a theoretical and experimental study
Depth First Search (DFS) tree is a fundamental data structure used for solving various graph problems. For a given graph G = (V,E) on n vertices and m edges, a DFS tree can be built in O(m + n) time. In the last 20 years, a few algorithms have been designed for maintaining a DFS tree efficiently under insertion of edges. For undirected graphs, there are two prominent algorithms, namely, ADFS1 a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Discrete Applied Mathematics
دوره 168 شماره
صفحات -
تاریخ انتشار 2014