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The method of augmented regularized normal equations

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Abstract

A new technique for the minimization of Tikhonov’s parametric smoothing functional for small values of the regularization parameter is proposed. The technique makes it possible to efficiently calculate normal pseudosolutions for large-scale systems of linear algebraic equations.

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References

  1. V. A. Morozov, “Algorithmic Foundations of Solution Methods for Ill-Posed Problems,” Vychisl. Metody Program. 45, 130–141 (2003).

    Google Scholar 

  2. A. I. Zhdanov, “About One Numerical Stable Algorithm for Solving Systems of Linear Algebraic Equations of Defect Rank,” Vestn. Samar. Gos. Tekh. Univ., Ser. Fiz. 1(6), 149–153 (2008).

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  3. G. H. Golub and C. F. van Loan, Matrix Computations (Johns Hopkins Univ. Press, Baltimore, Md., 1996; Mir, Moscow, 1999).

    MATH  Google Scholar 

  4. A. E. Albert, Regression and the Moore-Penrose Pseudoinverse (Academic, New York, 1972; Nauka, Moscow, 1977).

    MATH  Google Scholar 

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Correspondence to A. I. Zhdanov.

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Original Russian Text © A.I. Zhdanov, 2012, published in Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, 2012, Vol. 52, No. 2, pp. 205–208.

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Zhdanov, A.I. The method of augmented regularized normal equations. Comput. Math. and Math. Phys. 52, 194–197 (2012). https://doi.org/10.1134/S0965542512020169

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  • DOI: https://doi.org/10.1134/S0965542512020169

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