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  Improving Schroeppel and Shamir's Algorithm for Subset Sum via Orthogonal Vectors

Nederlof, J., & Węgrzycki, K. (2021). Improving Schroeppel and Shamir's Algorithm for Subset Sum via Orthogonal Vectors. In S. Khuller, & V. Vassilevska Williams (Eds.), STOC '21 (pp. 1670-1683). New York, NY: ACM. doi:10.1145/3406325.3451024.

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Genre: Conference Paper
Latex : Improving {S}chroeppel and {S}hamir's Algorithm for Subset Sum via Orthogonal Vectors

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 Creators:
Nederlof, Jesper1, Author
Węgrzycki, Karol2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3406325.3451024
BibTex Citekey: Nederlof_STOC2021
 Degree: -

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Title: 53rd Annual ACM SIGACT Symposium on Theory of Computing
Place of Event: Virtual, Italy
Start-/End Date: 2021-06-21 - 2021-06-25

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Project name : CRACKNP
Grant ID : 853234
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : TIPEA
Grant ID : 850979
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : TOTAL
Grant ID : 677651
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: STOC '21
  Subtitle : Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
  Abbreviation : STOC 2021
Source Genre: Proceedings
 Creator(s):
Khuller, Samir1, Editor
Vassilevska Williams, Virginia1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1670 - 1683 Identifier: ISBN: 9781450380539