SciELO - Scientific Electronic Library Online

 
vol.112 issue10Defining a representative overall equipment effectiveness (OEE) measurement for underground bord and pillar coal miningLiquid-liquid extraction of copper (II) from chloride media by Cyanex 923 in kerosene author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • On index processSimilars 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.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License