An Algorithm Based on Orthogonal Polynominal Vectors for Toeplitz Least Squares Problems

  • Authors:
  • Marc Van Barel;Georg Heinig;Peter Kravanja

  • Affiliations:
  • -;-;-

  • Venue:
  • NAA '00 Revised Papers from the Second International Conference on Numerical Analysis and Its Applications
  • Year:
  • 2000
  • Generalizations of orthogonal polynomials

    Journal of Computational and Applied Mathematics - Special issue: Proceedings of the conference on orthogonal functions and related topics held in honor of Olav Njåstad

  • Generalizations of orthogonal polynomials

    Journal of Computational and Applied Mathematics - Special issue: Proceedings of the conference on orthogonal functions and related topics held in honor of Olav Njåstad

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Abstract

We develop a new algorithm for solving Toeplitz linear least squares problems. The Toeplitz matrix is first embedded into a circulant matrix. The linear least squares problem is then transformed into a discrete least squares approximation problem for polynomial vectors. Our implementation shows that the normwise backward stability is independent of the condition number of the Toeplitz matrix.