A Faster Exponential Time Algorithm for Bin Packing With a Constant Number of Bins via Additive Combinatorics.

Jesper Nederlof, Jakub Pawlewicz, Céline M. F. Swennenhuis, Karol Wegrzycki

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)


In the Bin Packing problem one is given n items with weights w 1,..., w n and m bins with capacities c 1,..., c m. The goal is to find a partition of the items into sets S 1,..., S m such that w(S j) 6 c j for every bin j, where w(X) denotes P iX w i. Björklund, Husfeldt and Koivisto (SICOMP 2009) presented an O ?(2 n) time algorithm for Bin Packing. In this paper, we show that for every m ∈ N there exists a constant σ m > 0 such that an instance of Bin Packing with m bins can be solved in O(2 (1σm )n) randomized time. Before our work, such improved algorithms were not known even for m equals 4. A key step in our approach is the following new result in Littlewood-Offord theory on the additive combinatorics of subset sums: For every δ > 0 there exists an ε > 0 such that if |{X ⊆ {1,..., n} : w(X) = v}| > 2 (1−ε) n for some v then |{w(X): X ⊆ {1,..., n}}| 6 2 δn

Original languageEnglish
Title of host publicationACM-SIAM Symposium on Discrete Algorithms, SODA 2021
EditorsDaniel Marx
Number of pages20
ISBN (Electronic)9781611976465
Publication statusPublished - 2021

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms

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