Nearly optimal independence oracle algorithms for edge estimation in hypergraphs

Fuente: arXiv
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Main Authors: Dell, Holger, Lapinskas, John, Meeks, Kitty
Format: Preprint
Published: 2022
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author Dell, Holger
Lapinskas, John
Meeks, Kitty
author_facet Dell, Holger
Lapinskas, John
Meeks, Kitty
contents We study a query model of computation in which an n-vertex k-hypergraph can be accessed only via its independence oracle or via its colourful independence oracle, and each oracle query may incur a cost depending on the size of the query. In each of these models, we obtain oracle algorithms to approximately count the hypergraph's edges, and we unconditionally prove that no oracle algorithm for this problem can have significantly smaller worst-case oracle cost than our algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2211_03874
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Nearly optimal independence oracle algorithms for edge estimation in hypergraphs
Dell, Holger
Lapinskas, John
Meeks, Kitty
Computational Complexity
Data Structures and Algorithms
We study a query model of computation in which an n-vertex k-hypergraph can be accessed only via its independence oracle or via its colourful independence oracle, and each oracle query may incur a cost depending on the size of the query. In each of these models, we obtain oracle algorithms to approximately count the hypergraph's edges, and we unconditionally prove that no oracle algorithm for this problem can have significantly smaller worst-case oracle cost than our algorithms.
title Nearly optimal independence oracle algorithms for edge estimation in hypergraphs
topic Computational Complexity
Data Structures and Algorithms
url https://arxiv.org/abs/2211.03874