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Pushing the online matrix-vector conjecture off-line and identifying its easy cases

  • Leszek Gąsieniec
    ,
  • Jesper Jansson
    ,
  • Christos Levcopoulos
    ,
  • Andrzej Lingas(corresponding author)
    ,
  • Mia Persson
*Corresponding author for this work
  • University of Liverpool
    ,
  • Hong Kong Polytechnic University
    ,
  • Lund University
    ,
  • Malmö University
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Related Event

Title

13th International Workshop on Frontiers in Algorithmics, FAW 2019

Event type

Conference

Date

04/29/2019 - 05/03/2019

Location

SanyaChina

Abstract

Henzinger et al. posed the so called Online Boolean Matrix-vector Multiplication (OMv) conjecture and showed that it implies tight hardness results for several basic partially dynamic or dynamic problems [STOC’15]. We show that the OMv conjecture is implied by a simple off-line conjecture. If a not uniform (i.e., it might be different for different matrices) polynomial-time preprocessing of the matrix in the OMv conjecture is allowed then we can show such a variant of the OMv conjecture to be equivalent to our off-line conjecture. On the other hand, we show that the OMV conjecture does not hold in the restricted cases when the rows of the matrix or the input vectors are clustered.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English (US)

Pages from-to (Number of pages)

Pages 156-169 (14 pages)

Publication milestones

  • Published - 2019

Publication status

Published - 2019

Publisher

Springer Verlag

Publication series

  • Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print): 0302-9743
    ISSN (Electronic): 1611-3349
    Volume: 11458 LNCS
9783030181253

Publication IDs

  • Scopus: 85065315076

Host publication title

Frontiers in Algorithmics - 13th International Workshop, FAW 2019, Proceedings

Host publication editors

  • Mei Lu
  • Xiaotie Deng
  • Yijia Chen

Publication metrics

Metrics

SciVal
Author count
5
SciVal
Paper percentile
33
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1

Funding Details

Acknowledgements. CL, JJ and MP were supported in part by Swedish Research Council grant 621-2017-03750.
FunderFunding number
VR
621-2017-03750