Abstract. We prove that every graph has a spectral sparsifier with a number of edges linear in its number of vertices. As linear-sized spectral sparsifiers of complete graphs are expanders, our sparsifiers of arbitrary graphs can be viewed as generalizations of expander graphs. In particular, we prove that for every d> 1 and every undirected, weighted graph G = (V, E,w) on n vertices, there exists a weighted graph H = (V, F, w̃) with at most d(n − 1) edges such that for every x ∈ RV, xTLGx ≤ xTLHx ≤ d+1+2 d d+1−2√d) · xTLGx, where LG and LH are the Laplacian matrices of G and H, respectively. Thus, H approximates G spectrally at least as well as a Ramanujan expander with dn/2 edges approximates the complete graph. We give an elementary...
Dinitz, Schapira, and Valadarsky [Dinitz et al., 2017] introduced the intriguing notion of expanding...
Este trabalho tem como objetivo o estudo de grafos expansores, em particular, o estudo de técnicas d...
Graph sparsification underlies a large number of algorithms, ranging from approximation algorithms f...
Abstract. A sparsifier of a graph is a sparse graph that approximates it. A spectral sparsifier is o...
In this last lecture we will discuss graph sparsification: approximating a graph by weighted sub-gra...
The Kadison-Singer Conjecture, as proved by Marcus, Spielman, and Srivastava (MSS) [Ann. Math. 182, ...
Graph sparsification has been studied extensively over the past two decades, culminating in spectral...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a sparse weighted subgraph G th...
A sparsifier of a graph G (Bencztir and Karger; Spielman and Teng) is a sparse weighted subgraph (G)...
Expander graphs are highly connected sparse finite graphs. The property of being an expander seems s...
In this thesis, we study three problems related to expanders, whose analysis involves understanding ...
Cut and spectral sparsification of graphs have numerous applications, including e.g. speeding up alg...
Expander graphs have been studied in various definitions and approaches. We show some relationships ...
Recent spectral graph sparsification research allows constructing nearly-linear-sized subgraphs that...
Abstract—Expander graphs are highly connected sparse finite graphs. The property of being an expande...
Dinitz, Schapira, and Valadarsky [Dinitz et al., 2017] introduced the intriguing notion of expanding...
Este trabalho tem como objetivo o estudo de grafos expansores, em particular, o estudo de técnicas d...
Graph sparsification underlies a large number of algorithms, ranging from approximation algorithms f...
Abstract. A sparsifier of a graph is a sparse graph that approximates it. A spectral sparsifier is o...
In this last lecture we will discuss graph sparsification: approximating a graph by weighted sub-gra...
The Kadison-Singer Conjecture, as proved by Marcus, Spielman, and Srivastava (MSS) [Ann. Math. 182, ...
Graph sparsification has been studied extensively over the past two decades, culminating in spectral...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a sparse weighted subgraph G th...
A sparsifier of a graph G (Bencztir and Karger; Spielman and Teng) is a sparse weighted subgraph (G)...
Expander graphs are highly connected sparse finite graphs. The property of being an expander seems s...
In this thesis, we study three problems related to expanders, whose analysis involves understanding ...
Cut and spectral sparsification of graphs have numerous applications, including e.g. speeding up alg...
Expander graphs have been studied in various definitions and approaches. We show some relationships ...
Recent spectral graph sparsification research allows constructing nearly-linear-sized subgraphs that...
Abstract—Expander graphs are highly connected sparse finite graphs. The property of being an expande...
Dinitz, Schapira, and Valadarsky [Dinitz et al., 2017] introduced the intriguing notion of expanding...
Este trabalho tem como objetivo o estudo de grafos expansores, em particular, o estudo de técnicas d...
Graph sparsification underlies a large number of algorithms, ranging from approximation algorithms f...