Services on Demand
Article
Indicators
Related links
Cited by Google
Similars in Google
Share
Journal of the Southern African Institute of Mining and Metallurgy
On-line version ISSN 2411-9717
Print version ISSN 2225-6253
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.
![](/img/en/iconPDFDocument.gif)