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Journal of the Southern African Institute of Mining and Metallurgy

On-line version ISSN 2411-9717

Abstract

KUMRAL, M.  and  DOWD, P.A.. Singular value decomposition as an equation solver in co-kriging matrices. J. S. Afr. Inst. Min. Metall. [online]. 2012, vol.112, n.10, pp. 853-858. ISSN 2411-9717.

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 co-kriging 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.

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