Completeness Reductions

Completeness Reductions is a type of polynomial-time many-one reduction used in computational complexity theory that establishes the hardness of problems by mapping instances of a known complete problem to instances of a target problem while preserving the membership in a complexity class, thereby demonstrating that the target problem is at least as hard as the hardest problems in that class.

157

Publications

7.8K

Citations

289

Authors

185

Institutions

Publications per year

2017–2026

8

Authors

289

  1. HB
    Harry Buhrman

    Centrum Wiskunde & Informatica, Netherlands

    4 publications · 157 citations

    4

    h-index

  2. LA
    Lane A. Hemachandra

    University of Rochester, United States

    3 publications · 113 citations

    3

    h-index

  3. SA
    Serge Abiteboul

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 453 citations

    3

    h-index

  4. EA
    Eric Allender

    Rutgers, The State University of New Jersey, United States

    3 publications · 140 citations

    3

    h-index

  5. GG
    Gösta Grahne

    Concordia University, Canada

    3 publications · 453 citations

    3

    h-index

1–5 of 289

Venues

  1. SIAM Journal on Computing

    13 publications · 718 citations

    13

    h-index

  2. Theoretical Computer Science

    8 publications · 468 citations

    8

    h-index

  3. Information and Computation

    5 publications · 116 citations

    5

    h-index

  4. Discrete Mathematics

    4 publications · 60 citations

    4

    h-index

  5. Artificial Intelligence

    4 publications · 121 citations

    4

    h-index

1–5