Nine lower bound conjectures on streaming approximation algorithms for CSPs

Fuente: arXiv
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Main Author: Singer, Noah G.
Format: Preprint
Published: 2025
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author Singer, Noah G.
author_facet Singer, Noah G.
contents In this column, we overview recent progress by many authors on understanding the approximability of constraint satisfaction problems (CSPs) in low-space streaming models. Inspired by this recent progress, we collate nine conjectural lower bounds against streaming algorithms for CSPs, some of which appear here for the first time.
format Preprint
id arxiv_https___arxiv_org_abs_2510_10714
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nine lower bound conjectures on streaming approximation algorithms for CSPs
Singer, Noah G.
Computational Complexity
Data Structures and Algorithms
In this column, we overview recent progress by many authors on understanding the approximability of constraint satisfaction problems (CSPs) in low-space streaming models. Inspired by this recent progress, we collate nine conjectural lower bounds against streaming algorithms for CSPs, some of which appear here for the first time.
title Nine lower bound conjectures on streaming approximation algorithms for CSPs
topic Computational Complexity
Data Structures and Algorithms
url https://arxiv.org/abs/2510.10714