Add to ORKGWe show two simple algorithms that, with high probability, approximate within a constant several layout problems for geometric random graphs drawn from the Gn(r) model r_cv(log¿¿n/n¿ ) for any constant c = 6. The layout problems that we consider are: Bandwidth, Minimum Linear Arrangement, Minimum Cut, Minimum Sum Cut, Vertex Separation and Bisection.Preprin
Abstract. A random geometric graph G(n; r) is obtained by spreading n points uniformly at random in ...
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...
We show two simple algorithms that, with high probability, approximate within a constant several lay...
Abstract We show that, with overwhelming probability, several well known layout problems are approxi...
We show that, with high probability, several layout problems are approximable within a constant for ...
In random geometric graphs, vertices are randomly distributed on [0,1]^2 and pairs of vertices are c...
In this paper we survey the work done for graphs on random geometric models. We present some heurist...
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...
A random geometric graph G (n, r) is obtained by spreading n points uniformly at random in a unit sq...
Random projection is a simple geometric technique for reducing the dimensionality of a set of points...
In this paper we survey results on several graph layout problems from an algorithmic point of view....
AbstractA random geometric graph G(n,r) is obtained by spreading n points uniformly at random in a u...
A random geometric graph G(n, r) is obtained by spreading n points uni-formly at random in a unit sq...
Abstract. A random geometric graph G(n; r) is obtained by spreading n points uniformly at random in ...
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...
We show two simple algorithms that, with high probability, approximate within a constant several lay...
Abstract We show that, with overwhelming probability, several well known layout problems are approxi...
We show that, with high probability, several layout problems are approximable within a constant for ...
In random geometric graphs, vertices are randomly distributed on [0,1]^2 and pairs of vertices are c...
In this paper we survey the work done for graphs on random geometric models. We present some heurist...
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...
A random geometric graph G (n, r) is obtained by spreading n points uniformly at random in a unit sq...
Random projection is a simple geometric technique for reducing the dimensionality of a set of points...
In this paper we survey results on several graph layout problems from an algorithmic point of view....
AbstractA random geometric graph G(n,r) is obtained by spreading n points uniformly at random in a u...
A random geometric graph G(n, r) is obtained by spreading n points uni-formly at random in a unit sq...
Abstract. A random geometric graph G(n; r) is obtained by spreading n points uniformly at random in ...
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...