Doboku Gakkai Ronbunshu
Online ISSN : 1882-7187
Print ISSN : 0289-7806
ISSN-L : 0289-7806
GAUSSIAN AND LOG NORMAL RANDOM FIELD GENERATION BASED ON THE SQUARE ROOT DECOMPOSITION OF A COVARIANCE MATRIX
Yasuto TACHIKAWA, Michiharu SHIIBA
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JOURNAL FREE ACCESS

2000 Volume 2000 Issue 656 Pages 39-46

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Abstract
A method to generate a Gaussian and log normal random field is presented. The method is based on a matrix factrization technique of decomposition of a covariance matrix into its squre root matrix approximately by using the Chebyshev polynomials. When we generate a Gaussian or lognormal random field with Nx×Ny points covered by a mesh of a rectangular grid, the algorithm presented here requires only 3NxNy entries to be stored.
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© by Japan Society of Civil Engineers
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