Logarithmic Space Complexity

Logarithmic Space Complexity is a computational complexity class that characterizes decision problems solvable by a deterministic Turing machine using a workspace bounded by a logarithmic function of the input size, distinguishing it from broader space complexity classes by its stringent resource constraints.

276

Publications

17.1K

Citations

557

Authors

293

Institutions

Publications per year

2017–2026

36

Variants

Logspace

Authors

557

  1. VG
    Viliam Geffert

    University of Pavol Jozef Šafárik, Slovakia

    5 publications · 133 citations

    5

    h-index

  2. SC
    Stephen Cook

    University of Toronto, Canada

    5 publications · 612 citations

    5

    h-index

  3. GM
    Giancarlo Mauri

    University of Milano-Bicocca, Italy

    4 publications · 76 citations

    4

    h-index

  4. CZ
    Claudio Zandron

    University of Milano-Bicocca, Italy

    4 publications · 76 citations

    4

    h-index

  5. AL
    Alberto Leporati

    University of Milano-Bicocca, Italy

    4 publications · 76 citations

    4

    h-index

1–5 of 557

Venues

  1. SIAM Journal on Computing

    15 publications · 1.1K citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 907 citations

    11

    h-index

  3. Information Processing Letters

    12 publications · 464 citations

    11

    h-index

  4. Theory of Computing Systems

    10 publications · 563 citations

    10

    h-index

  5. Information and Computation

    8 publications · 171 citations

    7

    h-index

1–5