Approximating Partition in Near-Linear Time
Lin Chen, Jiayi Lian, Yuchen Mao, Guochuan Zhang
Abstract
We propose an O(n + 1/ε)-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/ε 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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext e74426f0-3549-4c59-bc4a-4df573c73467Cited by top-tier papers9
- An Improved Pseudopolynomial Time Algorithm for Subset SumLin Chen, Jiayi Lian, Yuchen Mao, Guochuan ZhangFOCS 2024 · 5 citations
- A Nearly Quadratic-Time FPTAS for KnapsackLin Chen, Jiayi Lian, Yuchen Mao, Guochuan ZhangSTOC 2024 · 4 citations
- Universe Reduction for APSP: Equivalence of Three Fine-Grained HypothesesNick FischerSTOC 2026 · 2 citations
- Beating Bellman's Algorithm for Subset SumKarl Bringmann, Nick Fischer, Vasileios NakosSODA 2025 · 2 citations
- Long Arithmetic Progressions in Sumsets and Subset Sums: Constructive Proofs and Efficient WitnessesLin Chen, Yuchen Mao, Guochuan ZhangSTOC 2025 · 1 citation
Builds on11
- On Near-Linear-Time Algorithms for Dense Subset SumKarl Bringmann, Philip WellnitzSODA 2021 · 19 citations
- Top-k-convolution and the quest for near-linear output-sensitive subset sumKarl Bringmann, Vasileios NakosSTOC 2020 · 18 citations
- A Fine-Grained Perspective on Approximating Subset Sum and PartitionKarl Bringmann, Vasileios NakosSODA 2021 · 14 citations
- Approximating Knapsack and Partition via Dense Subset SumsMingyang Deng, Ce Jin, Xiao MaoSODA 2023 · 10 citations
- Faster Algorithms for Bounded Knapsack and Bounded Subset Sum Via Fine-Grained Proximity ResultsLin Chen, Jiayi Lian, Yuchen Mao, Guochuan ZhangSODA 2024 · 10 citations
Related papers
- Approximating Subset Sum Ratio faster than Subset SumKarl BringmannSODA 2024
- A Parameterized Approximation Scheme for Min -CutDaniel Lokshtanov, Saket Saurabh, Vaishali SurianarayananFOCS 2020 · 22 citations
- Fast Low-Space Algorithms for Subset SumCe Jin, Nikhil Vyas, Ryan WilliamsSODA 2021 · 10 citations
- FPT-approximation for FPT ProblemsDaniel Lokshtanov, Pranabendu Misra, M. S. Ramanujan, Saket Saurabh et al.SODA 2021 · 8 citations
- Tight running times for minimum <italic>ℓq</italic>-norm load balancing: beyond exponential dependencies on 1/<italic>∊</italic>Lin Chen, Liangde Tao, José VerschaeSODA 2022 · 1 citation
