English

Approximating Partition in Near-Linear Time

Data Structures and Algorithms 2024-04-09 v2

Abstract

We propose an O~(n+1/\eps)\widetilde{O}(n + 1/\eps)-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 O~(n+1/\eps5/4)\widetilde{O}(n + 1/\eps^{5/4}) 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

R2 v1 2026-06-28T14:52:03.230Z