Approximating Partition in Near-Linear Time
Data Structures and Algorithms
2024-04-09 v2
Abstract
We propose an -time FPTAS (Fully Polynomial-Time Approximation Scheme) for the classical Partition problem. This is the best possible (up to a polylogarithmic factor) assuming SETH (Strong Exponential Time Hypothesis) [Abboud, Bringmann, Hermelin, and Shabtay'22]. Prior to our work, the best known FPTAS for Partition runs in time [Deng, Jin and Mao'23, Wu and Chen'22]. Our result is obtained by solving a more general problem of weakly approximating Subset Sum.
Keywords
Cite
@article{arxiv.2402.11426,
title = {Approximating Partition in Near-Linear Time},
author = {Lin Chen and Jiayi Lian and Yuchen Mao and Guochuan Zhang},
journal= {arXiv preprint arXiv:2402.11426},
year = {2024}
}
Comments
To appear in STOC2024