A Nearly Quadratic-Time FPTAS for Knapsack

Fuente: arXiv
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Main Authors: Chen, Lin, Lian, Jiayi, Mao, Yuchen, Zhang, Guochuan
Format: Preprint
Published: 2023
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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 investigate the classic Knapsack problem and propose a fully polynomial-time approximation scheme (FPTAS) that runs in $\widetilde{O}(n + (1/\varepsilon)^2)$ time. This improves upon the $\widetilde{O}(n + (1/\varepsilon)^{11/5})$-time algorithm by Deng, Jin, and Mao [\textit{Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms, 2023}]. Our algorithm is the best possible (up to a polylogarithmic factor) conditioned on the conjecture that $(\min, +)$-convolution has no truly subquadratic-time algorithm, since this conjecture implies that Knapsack has no $O((n + 1/\varepsilon)^{2-δ})$-time FPTAS for any constant $δ> 0$.
format Preprint
id arxiv_https___arxiv_org_abs_2308_07821
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Nearly Quadratic-Time FPTAS for Knapsack
Chen, Lin
Lian, Jiayi
Mao, Yuchen
Zhang, Guochuan
Data Structures and Algorithms
We investigate the classic Knapsack problem and propose a fully polynomial-time approximation scheme (FPTAS) that runs in $\widetilde{O}(n + (1/\varepsilon)^2)$ time. This improves upon the $\widetilde{O}(n + (1/\varepsilon)^{11/5})$-time algorithm by Deng, Jin, and Mao [\textit{Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms, 2023}]. Our algorithm is the best possible (up to a polylogarithmic factor) conditioned on the conjecture that $(\min, +)$-convolution has no truly subquadratic-time algorithm, since this conjecture implies that Knapsack has no $O((n + 1/\varepsilon)^{2-δ})$-time FPTAS for any constant $δ> 0$.
title A Nearly Quadratic-Time FPTAS for Knapsack
topic Data Structures and Algorithms
url https://arxiv.org/abs/2308.07821