Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 18 min ago
PreprintCC BY 4.0arXiv

A deterministic (1+ε)n approximation for the permanent of a nonnegative matrix

Abstract

For every fixed 0<ε≤1, we give a deterministic strongly polynomial algorithm that, given a nonnegative matrix A∈ℝ≥0n× n, returns Q satisfying per A≤ Q≤(1+ε)nper A.

Related

  1. Subexponential Approximation of the Permanent in Deterministic Polynomial Time
    Sergei Kudria, Jason Luo, Mahbod Majid
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  2. Comment on "The polarization hierarchy for polynomial optimization over convex bodies, with applications to nonnegative matrix rank"
    Julius A. Zeiss
    arXivPreprintCC BY 4.0Full textOptimisation & controlQuantum physics & quantum informationarXiv
  3. Beyond the Bethe Approximation of the Permanent
    Nima Anari
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  4. Optimal girth-dependent bounds for the Bethe approximation of the permanent
    Dingding Dong, Vishesh Jain
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsarXiv
  5. Strong NP-Hardness of Rank-2 Nonnegative Matrix Factorization
    Arnaud Vandaele
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
BibTeX
@misc{dong2026deterministic,
  title = {{A deterministic $(1+\varepsilon)^n$ approximation for the permanent of a nonnegative matrix}},
  author = {Dingding Dong and Vishesh Jain},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.11049},
  eprint = {2609.11049},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.11049},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - A deterministic (1+ε)^n approximation for the permanent of a nonnegative matrix
AU  - Dingding Dong
AU  - Vishesh Jain
PY  - 2026
DA  - 2026/09/10
PB  - arXiv
DO  - 10.48550/arxiv.2609.11049
UR  - https://arxiv.org/abs/2609.11049
AB  - For every fixed 0<ε≤1, we give a deterministic strongly polynomial algorithm that, given a nonnegative matrix A∈ℝ_≥0^n× n, returns Q satisfying per A≤ Q≤(1+ε)^nper A.
ER  -