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International Journal for Uncertainty Quantification

Publicado 6 números por año

ISSN Imprimir: 2152-5080

ISSN En Línea: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

Indexed in

A BLOCK CIRCULANT EMBEDDING METHOD FOR SIMULATION OF STATIONARY GAUSSIAN RANDOM FIELDS ON BLOCK-REGULAR GRIDS

Volumen 5, Edición 6, 2015, pp. 527-544
DOI: 10.1615/Int.J.UncertaintyQuantification.2015013781
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SINOPSIS

We propose a new method for sampling from a stationary Gaussian random field on a grid which is not regular but has a regular block structure, which is often the case in applications. The introduced block-circulant embedding method (BCEM) can outperform the classical circulant embedding method (CEM), which requires a regularization of the irregular grid before its application. Comparison of BCEM vs CEM is performed on typical model problems.

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