FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100031442> ?p ?o ?g. }

• W3100031442 endingPage "100359" @default.
• W3100031442 startingPage "100359" @default.
• W3100031442 abstract "This paper presents an algorithm to simulate Gaussian random vectors whose precision matrix can be expressed as a polynomial of a sparse matrix. This situation arises in particular when simulating Gaussian Markov random fields obtained by the discretization by finite elements of the solutions of some stochastic partial derivative equations. The proposed algorithm uses a Chebyshev polynomial approximation to compute simulated vectors with a linear complexity. This method is asymptotically exact as the approximation order grows. Criteria based on tests of the statistical properties of the produced vectors are derived to determine minimal orders of approximation." @default.
• W3100031442 created "2020-11-23" @default.
• W3100031442 creator A5030856858 @default.
• W3100031442 creator A5085033375 @default.
• W3100031442 date "2019-06-01" @default.
• W3100031442 modified "2023-10-01" @default.
• W3100031442 title "Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation" @default.
• W3100031442 cites W1453109964 @default.
• W3100031442 cites W1814707006 @default.
• W3100031442 cites W1837874438 @default.
• W3100031442 cites W1951294597 @default.
• W3100031442 cites W1992889808 @default.
• W3100031442 cites W2005073439 @default.
• W3100031442 cites W2006489139 @default.
• W3100031442 cites W2013627498 @default.
• W3100031442 cites W2014012249 @default.
• W3100031442 cites W2015539995 @default.
• W3100031442 cites W2043099482 @default.
• W3100031442 cites W2056894411 @default.
• W3100031442 cites W2079321251 @default.
• W3100031442 cites W2101491865 @default.
• W3100031442 cites W2111188590 @default.
• W3100031442 cites W2112498056 @default.
• W3100031442 cites W2153700325 @default.
• W3100031442 cites W2158787690 @default.
• W3100031442 cites W2963502448 @default.
• W3100031442 cites W2964297483 @default.
• W3100031442 cites W3104799250 @default.
• W3100031442 cites W4230094094 @default.
• W3100031442 cites W66875960 @default.
• W3100031442 doi "https://doi.org/10.1016/j.spasta.2019.100359" @default.
• W3100031442 hasPublicationYear "2019" @default.
• W3100031442 type Work @default.
• W3100031442 sameAs 3100031442 @default.
• W3100031442 citedByCount "7" @default.
• W3100031442 countsByYear W31000314422019 @default.
• W3100031442 countsByYear W31000314422020 @default.
• W3100031442 countsByYear W31000314422021 @default.
• W3100031442 countsByYear W31000314422022 @default.
• W3100031442 countsByYear W31000314422023 @default.
• W3100031442 crossrefType "journal-article" @default.
• W3100031442 hasAuthorship W3100031442A5030856858 @default.
• W3100031442 hasAuthorship W3100031442A5085033375 @default.
• W3100031442 hasBestOaLocation W31000314421 @default.
• W3100031442 hasConcept C101044782 @default.
• W3100031442 hasConcept C105795698 @default.
• W3100031442 hasConcept C106487976 @default.
• W3100031442 hasConcept C121332964 @default.
• W3100031442 hasConcept C126255220 @default.
• W3100031442 hasConcept C129785596 @default.
• W3100031442 hasConcept C130402806 @default.
• W3100031442 hasConcept C134306372 @default.
• W3100031442 hasConcept C145242015 @default.
• W3100031442 hasConcept C159985019 @default.
• W3100031442 hasConcept C163716315 @default.
• W3100031442 hasConcept C171326582 @default.
• W3100031442 hasConcept C192562407 @default.
• W3100031442 hasConcept C28826006 @default.
• W3100031442 hasConcept C33923547 @default.
• W3100031442 hasConcept C51267290 @default.
• W3100031442 hasConcept C61326573 @default.
• W3100031442 hasConcept C62520636 @default.
• W3100031442 hasConcept C73000952 @default.
• W3100031442 hasConcept C90119067 @default.
• W3100031442 hasConcept C98763669 @default.
• W3100031442 hasConceptScore W3100031442C101044782 @default.
• W3100031442 hasConceptScore W3100031442C105795698 @default.
• W3100031442 hasConceptScore W3100031442C106487976 @default.
• W3100031442 hasConceptScore W3100031442C121332964 @default.
• W3100031442 hasConceptScore W3100031442C126255220 @default.
• W3100031442 hasConceptScore W3100031442C129785596 @default.
• W3100031442 hasConceptScore W3100031442C130402806 @default.
• W3100031442 hasConceptScore W3100031442C134306372 @default.
• W3100031442 hasConceptScore W3100031442C145242015 @default.
• W3100031442 hasConceptScore W3100031442C159985019 @default.
• W3100031442 hasConceptScore W3100031442C163716315 @default.
• W3100031442 hasConceptScore W3100031442C171326582 @default.
• W3100031442 hasConceptScore W3100031442C192562407 @default.
• W3100031442 hasConceptScore W3100031442C28826006 @default.
• W3100031442 hasConceptScore W3100031442C33923547 @default.
• W3100031442 hasConceptScore W3100031442C51267290 @default.
• W3100031442 hasConceptScore W3100031442C61326573 @default.
• W3100031442 hasConceptScore W3100031442C62520636 @default.
• W3100031442 hasConceptScore W3100031442C73000952 @default.
• W3100031442 hasConceptScore W3100031442C90119067 @default.
• W3100031442 hasConceptScore W3100031442C98763669 @default.
• W3100031442 hasLocation W31000314421 @default.
• W3100031442 hasLocation W31000314422 @default.
• W3100031442 hasLocation W31000314423 @default.
• W3100031442 hasLocation W31000314424 @default.
• W3100031442 hasLocation W31000314425 @default.
• W3100031442 hasLocation W31000314426 @default.
• W3100031442 hasLocation W31000314427 @default.
• W3100031442 hasLocation W31000314428 @default.
• W3100031442 hasLocation W31000314429 @default.
• W3100031442 hasOpenAccess W3100031442 @default.
• W3100031442 hasPrimaryLocation W31000314421 @default.
• W3100031442 hasRelatedWork W2011189221 @default.

• next