Inapproximability
Inapproximability is the theoretical property of certain optimization problems that establishes a lower bound on how closely their optimal solution can be approximated in polynomial time, assuming standard complexity-theoretic conjectures such as P ≠ NP.
296
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21.5K
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481
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252
Institutions
Publications per year
2017–2026
39
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296
Towards Sharp Inapproximability For Any 2-CSP
Per Austrin · 2007 · 1.4K citations
Optimal Inapproximability Results for MAX‐CUT and Other 2‐Variable CSPs?
Subhash Khot, Guy Kindler, Elchanan Mossel et al. · SIAM Journal on Computing · 2007 · 599 citations · Full text
On approximately fair allocations of indivisible goods
R.J. Lipton, Evangelos Markakis, Elchanan Mossel et al. · 2004 · 530 citations
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University of California, Berkeley
Berkeley, United States
15 h-index
22 publications
2.4K citations
Princeton University
Princeton, United States
15 h-index
29 publications
1.9K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
23 publications
1.8K citations
Georgia Institute of Technology
Atlanta, United States
14 h-index
26 publications
2.5K citations

KTH Royal Institute of Technology
Stockholm, Sweden
13 h-index
17 publications
2.5K citations
Stanford University
Stanford, United States
12 h-index
19 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
20 publications
1K citations
Technion – Israel Institute of Technology
Haifa, Israel
10 h-index
11 publications
880 citations
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22 publications · 2.2K citations
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Repository · 16 publications · 400 citations
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11 publications · 1.5K citations
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TALG · 11 publications · 616 citations
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7 publications · 621 citations
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