FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2079071485> ?p ?o ?g. }

• W2079071485 abstract "We present a Monte Carlo algorithm that allows the simultaneous determination of a few extremal eigenpairs of a very large matrix without the need to compute the inner product of two vectors or store all the components of any one vector. The new algorithm, a Monte Carlo implementation of a deterministic one we recently benchmarked, is an extension of the power method. In the implementation presented, we used a basic Monte Carlo splitting and termination method called the comb, incorporated the weight cancellation method of Arnow {it et al.}, and exploited a new sampling method, the sewing method, that does a large state space sampling as a succession of small state space samplings. We illustrate the effectiveness of the algorithm by its determination of the two largest eigenvalues of the transfer matrices for variously-sized two-dimensional, zero field Ising models. While very likely useful for other transfer matrix problems, the algorithm is however quite general and should find application to a larger variety of problems requiring a few dominant eigenvalues of a matrix." @default.
• W2079071485 created "2016-06-24" @default.
• W2079071485 creator A5038135090 @default.
• W2079071485 creator A5048145278 @default.
• W2079071485 date "2009-10-16" @default.
• W2079071485 modified "2023-10-16" @default.
• W2079071485 title "Monte Carlo determination of multiple extremal eigenpairs" @default.
• W2079071485 cites W1636715409 @default.
• W2079071485 cites W1970996151 @default.
• W2079071485 cites W1971065983 @default.
• W2079071485 cites W1974270432 @default.
• W2079071485 cites W1977700937 @default.
• W2079071485 cites W1985137878 @default.
• W2079071485 cites W1995307039 @default.
• W2079071485 cites W1995606398 @default.
• W2079071485 cites W2002111573 @default.
• W2079071485 cites W2004692824 @default.
• W2079071485 cites W2020123624 @default.
• W2079071485 cites W2020306365 @default.
• W2079071485 cites W2033018887 @default.
• W2079071485 cites W2034237065 @default.
• W2079071485 cites W2049794650 @default.
• W2079071485 cites W2054757723 @default.
• W2079071485 cites W2061532291 @default.
• W2079071485 cites W2061579329 @default.
• W2079071485 cites W2066481007 @default.
• W2079071485 cites W2074670256 @default.
• W2079071485 cites W2086403571 @default.
• W2079071485 cites W2092455008 @default.
• W2079071485 cites W2100417339 @default.
• W2079071485 cites W2114883679 @default.
• W2079071485 cites W2124160467 @default.
• W2079071485 cites W2129894766 @default.
• W2079071485 cites W2226379371 @default.
• W2079071485 cites W2746834873 @default.
• W2079071485 cites W3037240456 @default.
• W2079071485 cites W3098428593 @default.
• W2079071485 cites W3106056106 @default.
• W2079071485 cites W4296025716 @default.
• W2079071485 doi "https://doi.org/10.1103/physreve.80.046704" @default.
• W2079071485 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19905479" @default.
• W2079071485 hasPublicationYear "2009" @default.
• W2079071485 type Work @default.
• W2079071485 sameAs 2079071485 @default.
• W2079071485 citedByCount "19" @default.
• W2079071485 countsByYear W20790714852012 @default.
• W2079071485 countsByYear W20790714852016 @default.
• W2079071485 countsByYear W20790714852017 @default.
• W2079071485 countsByYear W20790714852018 @default.
• W2079071485 countsByYear W20790714852019 @default.
• W2079071485 countsByYear W20790714852021 @default.
• W2079071485 countsByYear W20790714852022 @default.
• W2079071485 countsByYear W20790714852023 @default.
• W2079071485 crossrefType "journal-article" @default.
• W2079071485 hasAuthorship W2079071485A5038135090 @default.
• W2079071485 hasAuthorship W2079071485A5048145278 @default.
• W2079071485 hasBestOaLocation W20790714852 @default.
• W2079071485 hasConcept C105795698 @default.
• W2079071485 hasConcept C106131492 @default.
• W2079071485 hasConcept C106487976 @default.
• W2079071485 hasConcept C111350023 @default.
• W2079071485 hasConcept C11413529 @default.
• W2079071485 hasConcept C121332964 @default.
• W2079071485 hasConcept C126255220 @default.
• W2079071485 hasConcept C13153151 @default.
• W2079071485 hasConcept C132725507 @default.
• W2079071485 hasConcept C140779682 @default.
• W2079071485 hasConcept C158693339 @default.
• W2079071485 hasConcept C159985019 @default.
• W2079071485 hasConcept C187192777 @default.
• W2079071485 hasConcept C192562407 @default.
• W2079071485 hasConcept C19499675 @default.
• W2079071485 hasConcept C204493344 @default.
• W2079071485 hasConcept C28826006 @default.
• W2079071485 hasConcept C31972630 @default.
• W2079071485 hasConcept C33923547 @default.
• W2079071485 hasConcept C41008148 @default.
• W2079071485 hasConcept C52740198 @default.
• W2079071485 hasConcept C62520636 @default.
• W2079071485 hasConcept C63320529 @default.
• W2079071485 hasConcept C72434380 @default.
• W2079071485 hasConceptScore W2079071485C105795698 @default.
• W2079071485 hasConceptScore W2079071485C106131492 @default.
• W2079071485 hasConceptScore W2079071485C106487976 @default.
• W2079071485 hasConceptScore W2079071485C111350023 @default.
• W2079071485 hasConceptScore W2079071485C11413529 @default.
• W2079071485 hasConceptScore W2079071485C121332964 @default.
• W2079071485 hasConceptScore W2079071485C126255220 @default.
• W2079071485 hasConceptScore W2079071485C13153151 @default.
• W2079071485 hasConceptScore W2079071485C132725507 @default.
• W2079071485 hasConceptScore W2079071485C140779682 @default.
• W2079071485 hasConceptScore W2079071485C158693339 @default.
• W2079071485 hasConceptScore W2079071485C159985019 @default.
• W2079071485 hasConceptScore W2079071485C187192777 @default.
• W2079071485 hasConceptScore W2079071485C192562407 @default.
• W2079071485 hasConceptScore W2079071485C19499675 @default.
• W2079071485 hasConceptScore W2079071485C204493344 @default.
• W2079071485 hasConceptScore W2079071485C28826006 @default.
• W2079071485 hasConceptScore W2079071485C31972630 @default.
• W2079071485 hasConceptScore W2079071485C33923547 @default.

• next