Improving Online Bin Covering with Little Advice

Fuente: arXiv
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Main Authors: Brodnik, Andrej, Nilsson, Bengt J., Vujović, Gordana
Format: Preprint
Published: 2025
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author Brodnik, Andrej
Nilsson, Bengt J.
Vujović, Gordana
author_facet Brodnik, Andrej
Nilsson, Bengt J.
Vujović, Gordana
contents The online bin covering problem is: given an input sequence of items find a placement of the items in the maximum number of bins such that the sum of the items' sizes in each bin is at least~1. Boyar~{\em et~al}.\@~\cite{boyar2021} present a strategy that with $O(\log \log n)$ bits of advice, where $n$ is the length of the input sequence, achieves a competitive ratio of $8/15\approx0.5333\ldots$. We show that with a strengthened analysis and some minor improvements, the same strategy achieves the significantly improved competitive ratio of~$135/242\approx0.5578\ldots$, still using $O(\log \log n)$ bits of advice.
format Preprint
id arxiv_https___arxiv_org_abs_2506_09004
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Improving Online Bin Covering with Little Advice
Brodnik, Andrej
Nilsson, Bengt J.
Vujović, Gordana
Data Structures and Algorithms
F.2.2
The online bin covering problem is: given an input sequence of items find a placement of the items in the maximum number of bins such that the sum of the items' sizes in each bin is at least~1. Boyar~{\em et~al}.\@~\cite{boyar2021} present a strategy that with $O(\log \log n)$ bits of advice, where $n$ is the length of the input sequence, achieves a competitive ratio of $8/15\approx0.5333\ldots$. We show that with a strengthened analysis and some minor improvements, the same strategy achieves the significantly improved competitive ratio of~$135/242\approx0.5578\ldots$, still using $O(\log \log n)$ bits of advice.
title Improving Online Bin Covering with Little Advice
topic Data Structures and Algorithms
F.2.2
url https://arxiv.org/abs/2506.09004