English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Computing Generalized Convolutions Faster Than Brute Force

Esmer, B. C., Kulik, A., Marx, D., Schepper, P., & Węgrzycki, K. (2024). Computing Generalized Convolutions Faster Than Brute Force. Algorithmica, 86, 334-366. doi:10.1007/s00453-023-01176-2.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-000E-36C4-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-36C5-7
Genre: Journal Article

Files

show Files
hide Files
:
s00453-023-01176-2.pdf (Publisher version), 697KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-000E-36C6-6
Name:
s00453-023-01176-2.pdf
Description:
-
OA-Status:
Hybrid
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://creativecommons.org/licenses/by/4.0/

Locators

show

Creators

show
hide
 Creators:
Esmer, Bariş Can1, Author
Kulik, Ariel1, Author
Marx, Dániel1, Author           
Schepper, Philipp1, Author           
Węgrzycki, Karol2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 20232024
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Esmer_23
DOI: 10.1007/s00453-023-01176-2
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : SYSTEMATICGRAPH
Grant ID : 725978
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)

Source 1

show
hide
Title: Algorithmica
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Springer-Verlag
Pages: - Volume / Issue: 86 Sequence Number: - Start / End Page: 334 - 366 Identifier: ISSN: 0178-4617
CoNE: https://pure.mpg.de/cone/journals/resource/954925487793