Add to ORKGAbstract We show that, with overwhelming probability, several well known layout problems are approximable within a constant for random graphs drawn from the G(n; pn) model where C=n ^ pn ^ 1 for all n big enough and for some properly characterized parameter C? 1. In fact, our results establish that, with overwhelming probability, the cost of any arbitrary layout of such a random graph is within a constant of the optimal cost
In this paper we survey the work done for graphs on random geometric models. We present some heurist...
ABSTRACT: We study a model of random graphs, where a random instance is obtained by adding random ed...
For a graph G, we define c(G) to be the minimal number of edges we must delete in order to make G in...
We show that, with high probability, several layout problems are approximable within a constant for ...
We show two simple algorithms that, with high probability, approximate within a constant several lay...
We show two simple algorithms that, with high probability, approximate within a constant several lay...
In random geometric graphs, vertices are randomly distributed on [0,1]^2 and pairs of vertices are c...
In this paper we look at several well known layout problems. We show that MINCUT layout and Topologi...
We consider the problem of embedding one graph in another, where the cost of an embedding is the max...
This work deals with convergence theorems and bounds on the cost of several layout measures for latt...
We use random sampling as a tool for solving undirected graph problems. We show that the sparse grap...
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
We show that in Erdos-Renyi random graph G(n, p) with high probability, when p = c/n and c is a cons...
It was shown in [11] that any orientable graph of genus g can be probabilistically embedded into a g...
In this paper we survey results on several graph layout problems from an algorithmic point of view....
In this paper we survey the work done for graphs on random geometric models. We present some heurist...
ABSTRACT: We study a model of random graphs, where a random instance is obtained by adding random ed...
For a graph G, we define c(G) to be the minimal number of edges we must delete in order to make G in...
We show that, with high probability, several layout problems are approximable within a constant for ...
We show two simple algorithms that, with high probability, approximate within a constant several lay...
We show two simple algorithms that, with high probability, approximate within a constant several lay...
In random geometric graphs, vertices are randomly distributed on [0,1]^2 and pairs of vertices are c...
In this paper we look at several well known layout problems. We show that MINCUT layout and Topologi...
We consider the problem of embedding one graph in another, where the cost of an embedding is the max...
This work deals with convergence theorems and bounds on the cost of several layout measures for latt...
We use random sampling as a tool for solving undirected graph problems. We show that the sparse grap...
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
We show that in Erdos-Renyi random graph G(n, p) with high probability, when p = c/n and c is a cons...
It was shown in [11] that any orientable graph of genus g can be probabilistically embedded into a g...
In this paper we survey results on several graph layout problems from an algorithmic point of view....
In this paper we survey the work done for graphs on random geometric models. We present some heurist...
ABSTRACT: We study a model of random graphs, where a random instance is obtained by adding random ed...
For a graph G, we define c(G) to be the minimal number of edges we must delete in order to make G in...