Motivated by many recent algorithmic applications, this paper aims to promote a systematic study of the relationship between the topology of a graph and the metric distortion incurred when the graph is embedded into ` 1 space. The main results are: 1. Explicit constant-distortion embeddings of all series-parallel graphs, and all graphs with bounded Euler number. These are the rst natural families known to have constant dis-tortion (strictly greater than 1). Using the above embeddings, algorithms are obtained which approximate the sparsest cut in such graphs to within a constant factor. 2. A constant-distortion embedding of outerplanar graphs into the restricted class of ` 1 metrics known as \dominating tree metrics". A lower bound of (...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
We consider the problem of embedding an undirected graph into hyperbolic space with minimum distorti...
Motivated by many recent algorithmic applications, this paper aims to promote a systematic study of ...
Abstract. This paper addresses the basic question of how well a tree can approximate distances of a ...
International audienceIn this paper, we present a simple factor 6 algorithm for approximating the op...
International audienceWe present a simple factor 6 algorithm for approximatingthe optimal multiplica...
Embedding between metric spaces is a very powerful algorithmic tool and has been used for finding go...
In computer science, when dealing with difficult problems involving graphs and their associated metr...
The subject of graph embeddings deals with embedding a finite point set in a given metric space by p...
The subject of graph embeddings deals with embedding a finite point set in a given metric space by p...
3 Further, we will also give an alternative proof for lower bounding the distortion when probabilist...
AbstractEmbeddings of finite metric spaces into Euclidean space have been studied in several context...
We design an algorithm to embed graph metrics into `p with dimension and distortion both dependent o...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
We consider the problem of embedding an undirected graph into hyperbolic space with minimum distorti...
Motivated by many recent algorithmic applications, this paper aims to promote a systematic study of ...
Abstract. This paper addresses the basic question of how well a tree can approximate distances of a ...
International audienceIn this paper, we present a simple factor 6 algorithm for approximating the op...
International audienceWe present a simple factor 6 algorithm for approximatingthe optimal multiplica...
Embedding between metric spaces is a very powerful algorithmic tool and has been used for finding go...
In computer science, when dealing with difficult problems involving graphs and their associated metr...
The subject of graph embeddings deals with embedding a finite point set in a given metric space by p...
The subject of graph embeddings deals with embedding a finite point set in a given metric space by p...
3 Further, we will also give an alternative proof for lower bounding the distortion when probabilist...
AbstractEmbeddings of finite metric spaces into Euclidean space have been studied in several context...
We design an algorithm to embed graph metrics into `p with dimension and distortion both dependent o...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
The METRIC EMBEDDING problem takes as input two metric spaces (X,DX) and (Y,DY), and a positive inte...
We consider the problem of embedding an undirected graph into hyperbolic space with minimum distorti...