Stepwise covariance matrix decomposition for efficient simulation of multivariate large-scale three-dimensional random fields-Reference-Cited by-同舟云学术

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Stepwise covariance matrix decomposition for efficient simulation of multivariate large-scale three-dimensional random fields

Published:2019-04 Issue: Volume:68 Page:169-181
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Li Dian-Qing,Xiao Te^ORCID,Zhang Li-Min^ORCID,Cao Zi-Jun

Funder

National Key R&D Program of China

Research Grants Council of the Hong Kong Special Administrative Region

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation

Reference38 articles.

1. Undrained stability of a single circular tunnel in spatially variable soil subjected to surcharge loading;Ali;Comput. Geotech.,2017

2. Bayesian model comparison and selection of spatial correlation functions for soil parameters;Cao;Struct. Saf.,2014

3. Correlations among some clay parameters—the multivariate distribution;Ching;Can. Geotech. J.,2014

4. On characterizing spatially variable soil Young's modulus using spatial average;Ching;Struct. Saf.,2017

5. Fast and exact simulation of stationary Gaussian processes through circulant embedding of the covariance matrix;Dietrich;SIAM J. Sci. Comput.,1997

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