Approximate counting via random optimization
dc.contributor.author | Barvinok, Alexander I. | en_US |
dc.date.accessioned | 2006-04-19T14:10:04Z | |
dc.date.available | 2006-04-19T14:10:04Z | |
dc.date.issued | 1997-09 | en_US |
dc.identifier.citation | Barvinok, Alexander (1997)."Approximate counting via random optimization." Random Structures and Algorithms 11(2): 187-198. <http://hdl.handle.net/2027.42/35109> | en_US |
dc.identifier.issn | 1042-9832 | en_US |
dc.identifier.issn | 1098-2418 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/35109 | |
dc.description.abstract | Let ℱ n be a family of subsets of {1,…, n }. We propose a simple randomized algorithm to estimate the cardinality of ℱ n from the maximum weight of a subset X ∈ℱ n in a random weighting of {1,…, n }. The examples include enumeration of perfect matchings in graphs, bases in matroids, and Hamiltonian cycles in graphs. © 1997 John Wiley & Sons, Inc. Random Struct. Alg. , 11 , 187–198 (1997) | en_US |
dc.format.extent | 176461 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | John Wiley & Sons, Inc. | en_US |
dc.subject.other | Mathematics and Statistics | en_US |
dc.title | Approximate counting via random optimization | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Mathematics, University of Michigan, Ann Arbor, MI 48109-1109 ; Department of Mathematics, University of Michigan, Ann Arbor, MI 48109-1109 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/35109/1/6_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/(SICI)1098-2418(199709)11:2<187::AID-RSA6>3.0.CO;2-O | en_US |
dc.identifier.source | Random Structures and Algorithms | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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