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A class of norms of iterative methods for solving systems of linear equations

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Abstract

A new class of norms which generalize norms previously investigated by Young [9, 14], Sheldon [4, 5], Golub [1], Golub and Varga [2], Varga [6], Wachspress [7], Young and Kincaid [12], Young [14], and Kincaid [3] is introduced. Expressions for these norms applied to the matrices associated with various iterative methods are developed.

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References

  1. Golub, Gene H.: The use of Chebyshev matrix polynomials in the iterative solution of linear systems compared with the methods of successive overrelaxation. Doctoral thesis, University of Illinois (1959).

  2. Golub, G. H., Varga, R. S.: Chebyshev semi-iterative methods, successive over-relaxation iterative methods, and second-order Richardson iterative methods, Parts I and II. Num. Math.3, 147–168 (1961).

    Google Scholar 

  3. Kincaid, David R.: An analysis of a class of norms of iterative methods for systems of linear equations. Doctoral thesis, University of Texas at Austin (1971).

  4. Sheldon, John W.: On the numerical solution of elliptic difference equations. Math. Tables Aids Comput.9, 101–112 (1955).

    Google Scholar 

  5. Sheldon, J. W.: On the spectral norms of several iterative processes. J. Assoc. for Comput. Mach.9, 494–505 (1959).

    Google Scholar 

  6. Varga, Richard S.: Matrix iterative analysis. New Jersey: Prentice-Hall, Inc. 1962.

    Google Scholar 

  7. Wachspress, E. L.: Iterative solutions of elliptic systems and applications to the neutron diffusion equations of reactor physics. New Jersey: Prentice-Hall, Inc. 1966.

    Google Scholar 

  8. Williamson, J.: The latent roots of a matrix of special type. Bull. Amer. Math. Soc.37, 585–590 (1931).

    Google Scholar 

  9. Young, David M.: Iterative methods for solving partial difference equations of elliptic type. Doctoral thesis, Harvard University (1950).

  10. Young, David M.: Iterative methods for solving partial difference equations of elliptic type. Trans. Amer. Math. Soc.76, 92–111 (1954).

    Google Scholar 

  11. Young, David M., Wheeler, Mary F., Downing, James A.: On the use of the modified successive overrelaxation method with several relaxation factors. Proc. of IFIP 65, edited by W. A. Kalenich, p. 177–182. Washington, D. C.: Spartan Books, Inc. 1965.

    Google Scholar 

  12. Young, David M., Kincaid, David R.: Norms of the successive overrelaxation method and related methods. TNN-94, Computation Center, University of Texas at Austin (1969).

  13. Young, David M.: Convergence properties of the symmetric and unsymmetric successive overrelaxation methods and related methods, TNN-96, Computation Center, University of Texas at Austin (1969); revised version [1970], Math. of Comp.24, 793–807.

  14. Young, David M. Iterative solution of large linear systems. New York: Academic Press 1971.

    Google Scholar 

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Work on this paper was sponsored by NSF Grant GP-8442 and Army Grant DA-ARO(D)-31-124-G1050 at The University of Texas at Austin.

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Kincaid, D.R. A class of norms of iterative methods for solving systems of linear equations. Numer. Math. 20, 392–408 (1972). https://doi.org/10.1007/BF01402562

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