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Convergence rates for regularized nonlinear illposed problems

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 154))

Abstract

Convergence and rate of convergence are studied for nonlinear illposed inverse problems that are stabilized by means of Tikhonov regularization while the parameter space as well as the parameter-to-output mapping are discretized. The theoretical results are illustrated by means of numerical examples.

Supported in part by the Fonds zur Förderung der wissenschaftlichen Forschung, Austria, under S3206.

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References

  1. H.T. Banks and K. Kunisch, Estimation Techniques for Distributed Parameter Systems, Birkhäuser, Boston, 1989.

    Google Scholar 

  2. H.W. Engl, K. Kunisch and A. Neubauer, Tikhonov regularization for the solution of nonlinear ill-posed problems, Inverse Problems 5 (1989), 523–540.

    Google Scholar 

  3. G. Geymayer, Regularisierungsverfahren und deren Anwendung auf Inverse Randwertprobleme, Diplomarbeit, Technical University of Graz, 1988.

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  4. C.W. Groetsch, The Theory of Tikhonov Regularization for Fredholm Integral Equations of the First Kind, Pitman, Boston, 1984.

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  5. G. Geymayer and K. Kunisch, Convergence rates for regularized illposed problems, Technical Report at Technical University of Graz.

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  6. K. Kunisch and L. White, Regularity properties in parameter estimation of diffusion coefficients in elliptic boundary value problems, Appl. Analysis, 21 (1986), 71–87.

    Google Scholar 

  7. V.A. Morozov, Methods for Solving Incorrectly Posed Problems, Springer Verlag, New York, 1984.

    Google Scholar 

  8. V. Mosco, Convergence of convex sets and solutions of variational inequalities, Adv. Math. 3 (1969), 510–585.

    Google Scholar 

  9. A. Neubauer, Tikhonov regularization for non-linear illposed problems: optimal convergence rates and finite dimensional approximation, Inverse Problems 5 (1989), 541–558.

    Google Scholar 

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Alexander Kurzhanski Irena Lasiecka

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© 1991 International Federation for Information Processing

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Kunisch, K., Geymayer, G. (1991). Convergence rates for regularized nonlinear illposed problems. In: Kurzhanski, A., Lasiecka, I. (eds) Modelling and Inverse Problems of Control for Distributed Parameter Systems. Lecture Notes in Control and Information Sciences, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0044485

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  • DOI: https://doi.org/10.1007/BFb0044485

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53583-6

  • Online ISBN: 978-3-540-46839-4

  • eBook Packages: Springer Book Archive

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