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Bibliographic Details
Main Author: Li, Wenxin
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.02943
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author Li, Wenxin
author_facet Li, Wenxin
contents We show that the recent breakthrough result of [Buchbinder and Feldman, FOCS'24] could further lead to a deterministic $(1-κ_{f}/e-\varepsilon)$-approximate algorithm for maximizing a submodular function with curvature $κ_{f}$ under matroid constraint.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02943
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Note On Deterministic Submodular Maximization With Bounded Curvature
Li, Wenxin
Data Structures and Algorithms
Machine Learning
We show that the recent breakthrough result of [Buchbinder and Feldman, FOCS'24] could further lead to a deterministic $(1-κ_{f}/e-\varepsilon)$-approximate algorithm for maximizing a submodular function with curvature $κ_{f}$ under matroid constraint.
title A Note On Deterministic Submodular Maximization With Bounded Curvature
topic Data Structures and Algorithms
Machine Learning
url https://arxiv.org/abs/2409.02943