A Note on Deterministic FPTAS for Partition

Fuente: arXiv
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Autores principales: Chen, Lin, Lian, Jiayi, Mao, Yuchen, Zhang, Guochuan
Formato: Preprint
Publicado: 2025
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author Chen, Lin
Lian, Jiayi
Mao, Yuchen
Zhang, Guochuan
author_facet Chen, Lin
Lian, Jiayi
Mao, Yuchen
Zhang, Guochuan
contents We consider the Partition problem and propose a deterministic FPTAS (Fully Polynomial-Time Approximation Scheme) that runs in $\widetilde{O}(n + 1/\varepsilon)$-time. This is the best possible (up to a polylogarithmic factor) assuming the Strong Exponential Time Hypothesis~[Abboud, Bringmann, Hermelin, and Shabtay'22]. Prior to our work, only a randomized algorithm can achieve a running time of $\widetilde{O}(n + 1/\varepsilon)$~[Chen, Lian, Mao and Zhang '24], while the best deterministic algorithm runs in $\widetilde{O}(n+1/\varepsilon^{5/4})$ time~[Deng, Jin and Mao '23] and [Wu and Chen '22].
format Preprint
id arxiv_https___arxiv_org_abs_2501_12848
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Note on Deterministic FPTAS for Partition
Chen, Lin
Lian, Jiayi
Mao, Yuchen
Zhang, Guochuan
Data Structures and Algorithms
We consider the Partition problem and propose a deterministic FPTAS (Fully Polynomial-Time Approximation Scheme) that runs in $\widetilde{O}(n + 1/\varepsilon)$-time. This is the best possible (up to a polylogarithmic factor) assuming the Strong Exponential Time Hypothesis~[Abboud, Bringmann, Hermelin, and Shabtay'22]. Prior to our work, only a randomized algorithm can achieve a running time of $\widetilde{O}(n + 1/\varepsilon)$~[Chen, Lian, Mao and Zhang '24], while the best deterministic algorithm runs in $\widetilde{O}(n+1/\varepsilon^{5/4})$ time~[Deng, Jin and Mao '23] and [Wu and Chen '22].
title A Note on Deterministic FPTAS for Partition
topic Data Structures and Algorithms
url https://arxiv.org/abs/2501.12848