Fully Polynomial-time Approximation Scheme
A Fully Polynomial-Time Approximation Scheme is an approximation algorithm for an optimization problem that, for any input size and any positive error tolerance ε, delivers a solution within a factor of (1 + ε) of the optimal value and runs in time polynomial in both the problem size and 1/ε.
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2017–2026
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Mark Jerrum, Alistair Sinclair · SIAM Journal on Computing · 1989 · 793 citations
Settling the complexity of computing two-player Nash equilibria
Xi Chen, Xiaotie Deng, Shang‐Hua Teng · Journal of the ACM · 2009 · 579 citations
The maximum concurrent flow problem
Farhad Shahrokhi, David W. Matula · Journal of the ACM · 1990 · 437 citations · Full text
Natural Sciences, Computer Engineering, Computer Science +17
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Hong Kong Polytechnic University
Hong Kong, Hong Kong
12 h-index
18 publications
601 citations
Arizona State University
Tempe, United States
11 h-index
29 publications
1.9K citations
Hebrew University of Jerusalem
Jerusalem, Israel
9 h-index
10 publications
418 citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
23 publications
960 citations
University of Graz
Graz, Austria
8 h-index
11 publications
848 citations
University of California, Berkeley
Berkeley, United States
8 h-index
11 publications
429 citations

University of Edinburgh
Edinburgh, United Kingdom
8 h-index
9 publications
2.1K citations
Microsoft (United States)
Redmond, United States
7 h-index
7 publications
292 citations
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16 publications · 1.4K citations
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11 publications · 984 citations
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9 publications · 275 citations
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Repository · 8 publications · 152 citations
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