Nondeterministic Space Complexity

Nondeterministic Space Complexity is the computational resource measure that characterizes the maximum amount of memory space required by a nondeterministic Turing machine to solve a decision problem over all possible valid computation paths for inputs of a given size.

32

Publications

2.2K

Citations

61

Authors

39

Institutions

Publications per year

2017–2026

2

Authors

61

  1. AB
    Allan Borodin

    University of Toronto, Canada

    5 publications · 286 citations

    5

    h-index

  2. MT
    Martin Tompa

    University of Washington, United States

    4 publications · 246 citations

    4

    h-index

  3. VG
    Viliam Geffert

    University of Pavol Jozef Šafárik, Slovakia

    2 publications · 63 citations

    2

    h-index

  4. DK
    David Kirkpatrick

    University of British Columbia, Canada

    2 publications · 88 citations

    2

    h-index

  5. MJ
    Michael J. Fischer

    University of Illinois Chicago, United States

    2 publications · 88 citations

    2

    h-index

1–5 of 61

Venues

  1. SIAM Journal on Computing

    7 publications · 1K citations

    7

    h-index

  2. Theoretical Computer Science

    5 publications · 407 citations

    5

    h-index

  3. Theory of Computing Systems

    3 publications · 155 citations

    3

    h-index

  4. Journal of Computer and System Sciences

    2 publications · 91 citations

    2

    h-index

  5. Journal of the ACM

    JACM · 2 publications · 66 citations

    2

    h-index

1–5