Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 16 min ago
PreprintCC BY 4.0arXiv

Improved Algorithms for Beck--Fiala with Bounded Sets

Abstract

We give an efficient algorithm with improved algorithmic guarantees for the (offline) Beck--Fiala problem when the sets have bounded size. Let A be an arbitrary matrix A∈{0,1}m× n with at most d ones per column and at most s ones per row. Let log* denote the iterated logarithm and ℓj denote the j-fold composition of log. Assume s≤exp(O(√d)). We provide an efficient algorithm that, for arbitrary sparsity d, gives O(√d(1+log*n)) discrepancy. Moreover, if d≥ℓj(n) for a fixed integer j≥1, the algorithm gives Oj(√d) discrepancy. The proof is a bootstrapping scheme using the Bansal-Jiang algorithm.

Related

  1. Online Beck--Fiala Down to Logarithmic Sparsity
    Dylan J. Altschuler, Konstantin Tikhomirov
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsProbabilityarXiv
  2. Approximation Algorithms for Maximum-Weight Degree-Bounded Forests
    Theophile Thiery, Vera Traub, Nicola Widmer
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsarXiv
  3. BiLipschitz and bounded displacement equivalence of Delone sets
    Yotam Smilansky, Yaar Solomon
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsDynamical systemsarXiv
  4. Volume of quasi-homogeneous sublevel sets: Two linear algebra deterministic algorithms with convergence rates
    Didier Henrion, Jean B Lasserre
    HALPreprintCC BY 4.0Full textOptimisation & controlHAL
  5. Bounded joins of biclosed sets
    Yibo Gao, Yulin Peng, Hanlin Xu
    arXivPreprintCC0Full textCombinatorics & discrete mathematicsarXiv
BibTeX
@misc{altschuler2026improved,
  title = {{Improved Algorithms for Beck--Fiala with Bounded Sets}},
  author = {Dylan J. Altschuler},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.19714},
  eprint = {2609.19714},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.19714},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Improved Algorithms for Beck--Fiala with Bounded Sets
AU  - Dylan J. Altschuler
PY  - 2026
DA  - 2026/09/17
PB  - arXiv
DO  - 10.48550/arxiv.2609.19714
UR  - https://arxiv.org/abs/2609.19714
AB  - We give an efficient algorithm with improved algorithmic guarantees for the (offline) Beck--Fiala problem when the sets have bounded size. Let A be an arbitrary matrix A∈{0,1}^m× n with at most d ones per column and at most s ones per row. Let log^* denote the iterated logarithm and ℓ_j denote the j-fold composition of log. Assume s≤exp(O(√d)). We provide an efficient algorithm that, for arbitrary sparsity d, gives O(√d(1+log^*n)) discrepancy. Moreover, if d≥ℓ_j(n) for a fixed integer j≥1, the algorithm gives O_j(√d) discrepancy. The proof is a bootstrapping scheme using the Bansal-Jiang algorithm.
ER  -