SciELO - Scientific Electronic Library Online

vol.112 número10Defining 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 índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados



Links relacionados

  • En proceso de indezaciónCitado por Google
  • En proceso de indezaciónSimilares en Google


Journal of the Southern African Institute of Mining and Metallurgy

versión On-line ISSN 2411-9717
versión impresa ISSN 0038-223X


KUMRAL, M.  y  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.

Palabras clave : co-kriging matrix; singular value decomposition; estimation/simulation.

        · texto en Inglés     · Inglés ( pdf )


Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons