Space Complexity Of Graph Problems
Space Complexity of Graph Problems is a theoretical construct in computational complexity theory that characterizes the minimal amount of memory space required by an algorithm to solve graph-theoretic decision or optimization problems as a function of the input graph's size.
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477
Authors
270
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2017–2026
31
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Arboricity and Subgraph Listing Algorithms
Norishige Chiba, Takao Nishizeki · SIAM Journal on Computing · 1985 · 665 citations
Space-efficient static trees and graphs
G. Jacobson · 1989 · 649 citations
A New Algorithm for Generating All the Maximal Independent Sets
Shuji Tsukiyama, Mikio Ide, Hiromu Ariyoshi et al. · SIAM Journal on Computing · 1977 · 615 citations
Undirected connectivity in log-space
Omer Reingold · Journal of the ACM · 2008 · 511 citations
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Centre National de la Recherche Scientifique
Paris, France
9 h-index
17 publications
981 citations

Sapienza University of Rome
Rome, Italy
8 h-index
19 publications
878 citations
University of Bergen
Bergen, Norway
7 h-index
18 publications
672 citations
Hebrew University of Jerusalem
Jerusalem, Israel
6 h-index
9 publications
788 citations
RWTH Aachen University
Aachen, Germany
6 h-index
10 publications
579 citations
Technische Universität Berlin
Berlin, Germany
6 h-index
11 publications
245 citations

Institute of Mathematical Sciences
Chennai, India
5 h-index
9 publications
497 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
5 publications
775 citations
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15 publications · 2K citations
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13 publications · 568 citations
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17 publications · 353 citations
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Repository · 11 publications · 302 citations
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Repository · 11 publications · 183 citations
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