| dc.contributor.author | Feige, Uriel | |
| dc.contributor.author | Gamarnik, David | |
| dc.contributor.author | Neeman, Joe | |
| dc.contributor.author | Rácz, Miklós Z | |
| dc.contributor.author | Tetali, Prasad | |
| dc.date.accessioned | 2021-10-27T20:35:48Z | |
| dc.date.available | 2021-10-27T20:35:48Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/136529 | |
| dc.description.abstract | © 2019 Wiley Periodicals, Inc. Consider algorithms with unbounded computation time that probe the entries of the adjacency matrix of an n vertex graph, and need to output a clique. We show that if the input graph is drawn at random from (Formula presented.) (and hence is likely to have a clique of size roughly (Formula presented.)), then for every δ<2 and constant ℓ, there is an α<2 (that may depend on δ and ℓ) such that no algorithm that makes nδ probes in ℓ rounds is likely (over the choice of the random graph) to output a clique of size larger than (Formula presented.). | |
| dc.language.iso | en | |
| dc.publisher | Wiley | |
| dc.relation.isversionof | 10.1002/RSA.20896 | |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.source | arXiv | |
| dc.title | Finding cliques using few probes | |
| dc.type | Article | |
| dc.contributor.department | Sloan School of Management | |
| dc.relation.journal | Random Structures and Algorithms | |
| dc.eprint.version | Original manuscript | |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | |
| dc.date.updated | 2021-04-14T14:59:12Z | |
| dspace.orderedauthors | Feige, U; Gamarnik, D; Neeman, J; Rácz, MZ; Tetali, P | |
| dspace.date.submission | 2021-04-14T14:59:13Z | |
| mit.journal.volume | 56 | |
| mit.journal.issue | 1 | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | |