Least-squares fitting using orthogonal multinomials

  • Authors:
  • Richard H. Bartels;John J. Jezioranski

  • Affiliations:
  • Department of Computer Science, University of Waterloo, Waterloo, Ontario, Canada N2L 3G2;Ontario Cancer Institute, 500 Sherbourne, St., Toronto, Ontario, Canada M4X 1K9

  • Venue:
  • ACM Transactions on Mathematical Software (TOMS)
  • Year:
  • 1985

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Abstract

Forsythe has given a method for generating basis polynomials in a single variable that are orthogonal with respect to a given inner product. Weisfeld later demonstrated that Forsythe's approach could be extended to polynomials in an arbitrary number of variables. In this paper we sharpen Weisfeld's results and present a method for computing weighted, multinomial, least-squares approximations to given data.