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On the Least Squares Fit by Radial Functions to Multidimensional Scattered Data

Natarajan SivakumarJoseph D. Ward

出版	Center for Approximation Theory, Department of Mathematics, Texas A & M University, 1992
URL	http://books.google.com.hk/books?id=Ir1LvwEACAAJ&hl=&source=gbs_api

註釋

This paper investigates some aspects of discrete least squares approximation by translates of certain classes of radial functions. Its specific aim is (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).