Matches in SemOpenAlex for { <https://semopenalex.org/work/W2074796812> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2074796812 endingPage "78" @default.
- W2074796812 startingPage "65" @default.
- W2074796812 abstract "Abstract We consider the problem of finding a linear iteration that yields distributed averaging consensus over a network, i.e., that asymptotically computes the average of some initial values given at the nodes. When the iteration is assumed symmetric, the problem of finding the fastest converging linear iteration can be cast as a semidefinite program, and therefore efficiently and globally solved. These optimal linear iterations are often substantially faster than several common heuristics that are based on the Laplacian of the associated graph. We show how problem structure can be exploited to speed up interior-point methods for solving the fastest distributed linear iteration problem, for networks with up to a thousand or so edges. We also describe a simple subgradient method that handles far larger problems, with up to 100 000 edges. We give several extensions and variations on the basic problem." @default.
- W2074796812 created "2016-06-24" @default.
- W2074796812 creator A5011176205 @default.
- W2074796812 creator A5090154993 @default.
- W2074796812 date "2004-09-01" @default.
- W2074796812 modified "2023-10-05" @default.
- W2074796812 title "Fast linear iterations for distributed averaging" @default.
- W2074796812 cites W134789694 @default.
- W2074796812 cites W1568307856 @default.
- W2074796812 cites W1589786325 @default.
- W2074796812 cites W1778911478 @default.
- W2074796812 cites W1963753244 @default.
- W2074796812 cites W1966096622 @default.
- W2074796812 cites W1969558191 @default.
- W2074796812 cites W1982604350 @default.
- W2074796812 cites W1993122364 @default.
- W2074796812 cites W1998209214 @default.
- W2074796812 cites W2051306216 @default.
- W2074796812 cites W2061607408 @default.
- W2074796812 cites W2081178476 @default.
- W2074796812 cites W2089024379 @default.
- W2074796812 cites W2089559088 @default.
- W2074796812 cites W2103630117 @default.
- W2074796812 cites W2107543637 @default.
- W2074796812 cites W2144267444 @default.
- W2074796812 cites W2161474043 @default.
- W2074796812 cites W2165744313 @default.
- W2074796812 cites W2180470641 @default.
- W2074796812 cites W2325440561 @default.
- W2074796812 cites W2495457432 @default.
- W2074796812 cites W2912522929 @default.
- W2074796812 cites W4238591275 @default.
- W2074796812 cites W4243539849 @default.
- W2074796812 cites W4253016148 @default.
- W2074796812 doi "https://doi.org/10.1016/j.sysconle.2004.02.022" @default.
- W2074796812 hasPublicationYear "2004" @default.
- W2074796812 type Work @default.
- W2074796812 sameAs 2074796812 @default.
- W2074796812 citedByCount "2373" @default.
- W2074796812 countsByYear W20747968122012 @default.
- W2074796812 countsByYear W20747968122013 @default.
- W2074796812 countsByYear W20747968122014 @default.
- W2074796812 countsByYear W20747968122015 @default.
- W2074796812 countsByYear W20747968122016 @default.
- W2074796812 countsByYear W20747968122017 @default.
- W2074796812 countsByYear W20747968122018 @default.
- W2074796812 countsByYear W20747968122019 @default.
- W2074796812 countsByYear W20747968122020 @default.
- W2074796812 countsByYear W20747968122021 @default.
- W2074796812 countsByYear W20747968122022 @default.
- W2074796812 countsByYear W20747968122023 @default.
- W2074796812 crossrefType "journal-article" @default.
- W2074796812 hasAuthorship W2074796812A5011176205 @default.
- W2074796812 hasAuthorship W2074796812A5090154993 @default.
- W2074796812 hasBestOaLocation W20747968122 @default.
- W2074796812 hasConcept C11413529 @default.
- W2074796812 hasConcept C28826006 @default.
- W2074796812 hasConcept C33923547 @default.
- W2074796812 hasConcept C41008148 @default.
- W2074796812 hasConceptScore W2074796812C11413529 @default.
- W2074796812 hasConceptScore W2074796812C28826006 @default.
- W2074796812 hasConceptScore W2074796812C33923547 @default.
- W2074796812 hasConceptScore W2074796812C41008148 @default.
- W2074796812 hasIssue "1" @default.
- W2074796812 hasLocation W20747968121 @default.
- W2074796812 hasLocation W20747968122 @default.
- W2074796812 hasOpenAccess W2074796812 @default.
- W2074796812 hasPrimaryLocation W20747968121 @default.
- W2074796812 hasRelatedWork W1994109492 @default.
- W2074796812 hasRelatedWork W1996810073 @default.
- W2074796812 hasRelatedWork W2089811522 @default.
- W2074796812 hasRelatedWork W2333698505 @default.
- W2074796812 hasRelatedWork W2351491280 @default.
- W2074796812 hasRelatedWork W2351859806 @default.
- W2074796812 hasRelatedWork W2371447506 @default.
- W2074796812 hasRelatedWork W2386767533 @default.
- W2074796812 hasRelatedWork W303980170 @default.
- W2074796812 hasRelatedWork W4239376463 @default.
- W2074796812 hasVolume "53" @default.
- W2074796812 isParatext "false" @default.
- W2074796812 isRetracted "false" @default.
- W2074796812 magId "2074796812" @default.
- W2074796812 workType "article" @default.