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A Posteriori Error Estimates for Fredholm Integral Equations of the First Kind

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Book cover Applied Inverse Problems

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 48))

Abstract

We consider an adaptive finite element method for the solution of a Fredholm integral equation of the first kind and derive a posteriori error estimates both in the Tikhonov functional and in the regularized solution of this functional. We apply nonlinear results obtained in Beilina et al., (Journal of Mathematical Sciences, 167, 279–325, 2010), Beilina and Klibanov, (Inverse Problems, 26, 045012, 2010), Beilina et al., (Journal of Mathematical Sciences, 172, 449–476, 2011), Beilina and Klibanov, ( Inverse Problems, 26, 125009, 2010), Klibanov et al., (Inverse and Ill-Posed Problems), 19, 83–105, 2011) for the case of the linear bounded operator. We formulate an adaptive algorithm and present experimental verification of our adaptive technique on the backscattered data measured in microtomography.

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References

  1. A.B. Bakushinsky, M.Y. Kokurin, and A. Smirnova, Iterative methods for ill-posed problems, Walter de Gruyter GmbH&Co., New York, 2011.

    Google Scholar 

  2. Y.A. Basistov, A.V. Goncharsky, E.E. Lekht, A.M. Cherepashchuk and A.G. Yagola, Application of the regularization method for increasing of the radiotelescope resolution power, Astronomy zh., 56, 2, 443–449, 1979 (in Russian).

    Google Scholar 

  3. L. Beilina, M.V. Klibanov and M.Yu. Kokurin, Adaptivity with relaxation for ill-posed problems and global convergence for a coefficient inverse problem, Journal of Mathematical Sciences, 167, 279–325, 2010.

    Article  MathSciNet  Google Scholar 

  4. L. Beilina and M.V. Klibanov, A posteriori error estimates for the adaptivity technique for the Tikhonov functional and global convergence for a coefficient inverse problem, Inverse Problems, 26, 045012, 2010.

    Article  MathSciNet  Google Scholar 

  5. L. Beilina, M.V. Klibanov and A. Kuzhuget, New a posteriori error estimates for adaptivity technique and global convergence for a hyperbolic coefficient inverse problem, Journal of Mathematical Sciences, 172, 449–476, 2011.

    Article  MathSciNet  MATH  Google Scholar 

  6. L. Beilina and M.V. Klibanov, Reconstruction of dielectrics from experimental data via a hybrid globally convergent/adaptive inverse algorithm, Inverse Problems, 26, 125009, 2010.

    Article  MathSciNet  Google Scholar 

  7. K. Eriksson, D. Estep and C. Johnson,Calculus in Several Dimensions, Springer, Berlin, 2004.

    MATH  Google Scholar 

  8. A.V. Goncharsky, A.M. Cherepashchuk and A.G. Yagola. Ill-posed problems of astrophysics. Nauka, Moscow, 1–352, 1985 (in Russian).

    Google Scholar 

  9. C. Johnson and A. Szepessy, Adaptive finite element methods for conservation laws based on a posteriori error estimation, Communications on Pure and Applied Mathematics, 48, 199–234, 1995.

    Article  MathSciNet  MATH  Google Scholar 

  10. C. Johnson, Numerical Solution of Partial Differential Equations by the Finite Element Method, Dover Books on Mathematics, New York, 2009.

    MATH  Google Scholar 

  11. M.V. Klibanov, A.B. Bakushinsky and L. Beilina, Why a minimizer of the Tikhonov functional is closer to the exact solution than the first guess,Inverse and Ill-Posed Problems, 19, 83–105, 2011.

    MathSciNet  Google Scholar 

  12. N.A. Koshev, F.A. Luk’anov, E.I. Rau, R.A. Sennov, and A.G. Yagola. Increasing Spatial Resolution in the Backscattered Electron Mode of Scanning Electron Microscopy, Bulletin of the Russian Academy of Sciences: Physics, 75, 9, 1181–1184. Allerton Press, New York, 2011.

    Google Scholar 

  13. N.A. Koshev, N.A. Orlikovsky, E.I. Rau, and A.G. Yagola. Solution of the inverse problem of restoring the signals from an electronic microscope in the backscattered electron mode on the class of bounded variation functions, Numerical Methods and Programming, 12, 362–367, 2011 (in Russian).

    Google Scholar 

  14. A.N. Tikhonov, A.V. Goncharsky, and V.V. Stepanov, I.V. Kochikov, Ill-posed problems of image processing. Russian Academy of Sciences report, 294-4, 832–837, 1987

    Google Scholar 

  15. A.N. Tikhonov, A.V. Goncharsky, V.V. Stepanov and A.G. Yagola, Numerical Methods for the Solution of Ill-Posed Problems, London: Kluwer, London, 1995.

    Book  MATH  Google Scholar 

  16. A.G. Yagola and N.A. Koshev. Restoration of smeared and defocused color images, Numerical Methods and Programming, 9, 207–212, 2008 (in Russian).

    Google Scholar 

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Acknowledgments

This research was supported by the Swedish Research Council, the Swedish Foundation for Strategic Research (SSF) in Gothenburg mathematical modelling centre (GMMC), and by the Swedish Institute, Visby Program. The first author acknowledges also the Russian Foundation For Basic Research, the grant RFFI 11-01-00040.

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Correspondence to L. Beilina .

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Koshev, N., Beilina, L. (2013). A Posteriori Error Estimates for Fredholm Integral Equations of the First Kind. In: Beilina, L. (eds) Applied Inverse Problems. Springer Proceedings in Mathematics & Statistics, vol 48. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7816-4_5

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