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
Parents
32
Nondeterministic Space is Closed under Complementation
Neil Immerman · SIAM Journal on Computing · 1988 · 649 citations
Two Applications of Inductive Counting for Complementation Problems
Allan Borodin, Stephen Cook, Patrick Dymond et al. · SIAM Journal on Computing · 1989 · 135 citations
On parallelism in turing machines
Dexter Kozen · 1976 · 121 citations
1–5 of 32
61
5
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 61
39

University of Toronto
Toronto, Canada
7 h-index
9 publications
474 citations
University of Washington
Seattle, United States
5 h-index
7 publications
374 citations
IBM (United States)
Armonk, United States
3 h-index
3 publications
198 citations
University of California San Diego
San Diego, United States
2 h-index
2 publications
158 citations

University of British Columbia
Vancouver, Canada
2 h-index
2 publications
88 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
5 publications
727 citations
Yale University
New Haven, United States
2 h-index
2 publications
745 citations

University of Calgary
Calgary, Canada
2 h-index
4 publications
80 citations
1–8 of 39
7 publications · 1K citations
7
h-index
5 publications · 407 citations
5
h-index
3 publications · 155 citations
3
h-index
2 publications · 91 citations
2
h-index
JACM · 2 publications · 66 citations
2
h-index
1–5