On the least squares fit by radial functions to multidimensional scattered data Academic Article uri icon

abstract

  • This paper investigates some aspects of discrete least squares approximation by translates of certain classes of radial functions. Its specific aims are (i) to provide conditions under which the associated least squares matrix is invertible and (ii) to give upper bounds for the Euclidean norms of the inverses of these matrices (when they exist). 1993 Springer-Verlag.

published proceedings

  • Numerische Mathematik

author list (cited authors)

  • Sivakumar, N., & Ward, J. D.

citation count

  • 13

complete list of authors

  • Sivakumar, N||Ward, JD

publication date

  • December 1993