Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/77869
Type: Journal article
Title: Singular value decomposition as an equation solver in co-kriging matrices
Author: Kumral, M.
Dowd, P.
Citation: Journal of the South African Institute of Mining and Metallurgy, 2012; 112(10):853-858
Publisher: South African Inst Min Metall
Issue Date: 2012
ISSN: 0038-223X
2225-6253
Statement of
Responsibility: 
M. Kumral and P.A. Dowd
Abstract: One of the most significant elements in solving the co-kriging equations is the matrix solver. In this paper, the singular value decomposition (SVD) as an equation solver is proposed to solve the co-kriging matrices. Given that other equation solvers have various drawbacks, the SVD presents an alternative for solving the cokriging matrices. The SVD is briefly discussed, and its performance is compared with the banded Gaussian elimination that is most frequently used in co-kriging matrices by means of case studies. In spite of the increase in the memory requirement, the SVD yields better results.
Keywords: co-kriging matrix; singular value decomposition; estimation/simulation
Rights: © The Southern African Institute of Mining and Metallurgy, 2012.
RMID: 0020126649
Published version: http://www.saimm.co.za/Journal/v112n10p853.pdf
Appears in Collections:Civil and Environmental Engineering publications

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