Sketching Cuts in Graphs and Hypergraphs

Fuente: arXiv
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Autori principali: Kogan, Dmitry, Krauthgamer, Robert
Natura: Preprint
Pubblicazione: 2014
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author Kogan, Dmitry
Krauthgamer, Robert
author_facet Kogan, Dmitry
Krauthgamer, Robert
contents 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 $n^{1-O(ε)}$ 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 $O(ε^{-2} n (r+\log n))$ edges. We also make first steps towards sketching general CSPs (Constraint Satisfaction Problems).
format Preprint
id arxiv_https___arxiv_org_abs_1409_2391
institution arXiv
publishDate 2014
record_format arxiv
spellingShingle Sketching Cuts in Graphs and Hypergraphs
Kogan, Dmitry
Krauthgamer, Robert
Data Structures and Algorithms
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 $n^{1-O(ε)}$ 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 $O(ε^{-2} n (r+\log n))$ edges. We also make first steps towards sketching general CSPs (Constraint Satisfaction Problems).
title Sketching Cuts in Graphs and Hypergraphs
topic Data Structures and Algorithms
url https://arxiv.org/abs/1409.2391