Sketching and streaming algorithms are in the forefront of current research directions for cut problems in graphs. In the streaming model, we show that (1 − ε)-approximation for Max-Cut must use n1−O(ε) space; moreover, beating 4/5-approximation requires polynomial space. For the sketching model, we show that r-uniform hypergraphs admit a (1 + ε)-cut-sparsifier (i.e., a weighted subhypergraph that approximately preserves all the cuts) with O(ε−2n(r + log n)) edges. We also make first steps towards sketching general CSPs (Constraint Satisfaction Problems).
A sparsifier of a graph G (Benczu´r and Karger; Spielman and Teng) is a sparse weighted subgraph ˜ G ...
In this paper we initiate the study of expander decompositions of a graph $G=(V, E)$ in the streamin...
We consider the problem of estimating the value of MAX-CUT in a graph in the streaming model of comp...
The emergence of massive datasets has led to the rise of new computational paradigms where computati...
In this paper, we introduce a new model for sublinear algorithms called dynamic sketching. In this m...
We give a combinatorial algorithm to find a maximum packing of hypertrees in a capacitated hypergrap...
We present a general framework for constructing cut sparsifiers in undirected graphs --- weighted su...
We initiate the study of graph sketching, i.e., algorithms that use a limited number of linear m...
We present a general framework for constructing cut sparsifiers in undirected graphs- weighted subgr...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a sparse weighted subgraph G th...
Cut and spectral sparsification of graphs have numerous applications, including e.g. speeding up alg...
In this survey we describe progress over the last decade or so in understanding the complexity of so...
Graph Sparsification in the Semi-Streaming Model Analyzing massive data sets has been one of the key...
Graph sketching is a powerful paradigm for analyzing graph structure via linear measurements introdu...
Linear sketching is a popular technique for computing in dynamic streams, where one needs to handle ...
A sparsifier of a graph G (Benczu´r and Karger; Spielman and Teng) is a sparse weighted subgraph ˜ G ...
In this paper we initiate the study of expander decompositions of a graph $G=(V, E)$ in the streamin...
We consider the problem of estimating the value of MAX-CUT in a graph in the streaming model of comp...
The emergence of massive datasets has led to the rise of new computational paradigms where computati...
In this paper, we introduce a new model for sublinear algorithms called dynamic sketching. In this m...
We give a combinatorial algorithm to find a maximum packing of hypertrees in a capacitated hypergrap...
We present a general framework for constructing cut sparsifiers in undirected graphs --- weighted su...
We initiate the study of graph sketching, i.e., algorithms that use a limited number of linear m...
We present a general framework for constructing cut sparsifiers in undirected graphs- weighted subgr...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a sparse weighted subgraph G th...
Cut and spectral sparsification of graphs have numerous applications, including e.g. speeding up alg...
In this survey we describe progress over the last decade or so in understanding the complexity of so...
Graph Sparsification in the Semi-Streaming Model Analyzing massive data sets has been one of the key...
Graph sketching is a powerful paradigm for analyzing graph structure via linear measurements introdu...
Linear sketching is a popular technique for computing in dynamic streams, where one needs to handle ...
A sparsifier of a graph G (Benczu´r and Karger; Spielman and Teng) is a sparse weighted subgraph ˜ G ...
In this paper we initiate the study of expander decompositions of a graph $G=(V, E)$ in the streamin...
We consider the problem of estimating the value of MAX-CUT in a graph in the streaming model of comp...