Approximation Complexity
Approximation Complexity is a computational complexity measure that characterizes the inherent difficulty of approximating optimal solutions to NP-hard problems within guaranteed performance bounds, distinguishing it from exact complexity by focusing on the trade-off between solution quality and computational tractability.
471
Publications
32.5K
Citations
815
Authors
387
Institutions
Publications per year
2017–2026
62
471
A threshold of ln <i>n</i> for approximating set cover
Uriel Feige · Journal of the ACM · 1998 · 3.1K citations · Full text
Proof verification and the hardness of approximation problems
Sanjeev Arora, Carsten Lund, Rajeev Motwani et al. · Journal of the ACM · 1998 · 1.4K citations · Full text
Proof verification and hardness of approximation problems
Sanjeev Arora, Carsten Lund, R. Motwani et al. · 1992 · 744 citations
On the hardness of approximating vertex cover
Irit Dinur, Samuel Safra · Annals of Mathematics · 2005 · 635 citations · Full text
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387
University of California, Berkeley
Berkeley, United States
22 h-index
31 publications
5K citations
Princeton University
Princeton, United States
15 h-index
31 publications
4.2K citations
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
24 publications
3.3K citations
Technion – Israel Institute of Technology
Haifa, Israel
13 h-index
17 publications
1.5K citations

Weizmann Institute of Science
Rehovot, Israel
13 h-index
15 publications
4.6K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
23 publications
1.7K citations

Cornell University
Ithaca, United States
13 h-index
16 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
21 publications
441 citations
1–8 of 387
25 publications · 2.3K citations
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Repository · 27 publications · 609 citations
15
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14 publications · 604 citations
12
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12 publications · 825 citations
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JACM · 11 publications · 5.3K citations
11
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