Skip to main content

Fast Convergent Algorithms for Solving 2D Integral Equations of the First Kind

  • Conference paper
  • First Online:
  • 1046 Accesses

Part of the book series: Lecture Notes in Physics ((LNP,volume 552))

Abstract

Based on Tikhonov’s regularization method, this paper applies two fast convergent algorithms developed by the authors to solving 2D integral equations of the first kind. The procedures of discretization and regularization are discussed. The numerical tests are presented to show high efficiency and numerical stability. The integral equations of the first kind can be seen in determination of capillary pressure functions.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, W. D., A new extrapolation algorithm for band-limited signals using the regularization method, IEEE Transactions on Signal Processing, 41 (1993), 1048–1060.

    Article  MATH  ADS  Google Scholar 

  2. Chen, Y. M. and Liu, J. Q., A numerical algorithm for remote sensing of thermal conductivity, J. Comput. Phys. 43 (1981), 315–328.

    Article  MATH  ADS  MathSciNet  Google Scholar 

  3. Colton, D., Piana, M., and Potthast, R., A simple method using Morozov’s discrepancy principle for solving inverse scattering problems, Inverse Problems 13 (1997), 1477–1493.

    Article  MATH  ADS  MathSciNet  Google Scholar 

  4. Conference, P., Ill-Posed Problems in Natural Sciences, Proceedings of the International Conference Held in Moscow, August 19–25, 1991.

    Google Scholar 

  5. Dou, L. and Hodgson, R., Application of the regularization method to the inverse black radiation problems, IEEE Transactions on Antennas and Propagation 40 (1992), 1249–1253.

    Article  ADS  Google Scholar 

  6. Eldén, A., An efficient algorithm for the regularization of ill-conditioned least squares problems with triangular Toeplitz matrix, Siam J. Sci. Static. Comput. 5 (1984), 220–236.

    Google Scholar 

  7. Groetsch, C. W., The Theory of Tikhonov Regularization for Fredholm Equations of the First Kind, Pitman, London, 1984.

    MATH  Google Scholar 

  8. Groetsch, C. W., Inverse Problems in the Mathematical Sciences, Braun-schweig, Wiesbaden, Vieweg, 1993.

    MATH  Google Scholar 

  9. Groetsch, C. W. and Engl, H. W. (ed), Inverse and Ill-Posed Problems, New York, Academic, 1987.

    Google Scholar 

  10. Hansen, P. C., Numerical tools for analysis and solution of Fredholm integral equations of the first kind, Inverse Problems 8 (1992), 849–872.

    Article  MATH  ADS  MathSciNet  Google Scholar 

  11. Lam, P. K. and Eldén, A., Numerical solution of first kind Volterra equations by sequential Tikhonov regularization, SIAM J. Numer. Anal. 34 (1997), 1432–1450.

    Article  MathSciNet  Google Scholar 

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

    Google Scholar 

  13. Tikhonov, A. N. and Arsenin, J., Solutions of Ill-Posed Problems, Wiley, New York, 1977.

    MATH  Google Scholar 

  14. Tikhonov, A. N. and Goncharsky, A. V. (ed), Ill-Posed Problems in the Natural Sciences, Moscow, MIR, 1987.

    Google Scholar 

  15. Tikhonov, A. N., Goncharsky, A., and Yagola, A., Numerical Methods for the Solution of Ill-posed Problems, Dordrecht, Kluwer, 1995.

    MATH  Google Scholar 

  16. Wang, Y.-F. and Xiao, T.-Y., Third-order convergence algorithms for choosing regularization parameter based on discrepancy principle, to appear in JCM.

    Google Scholar 

  17. Xiao, T.-Y., On the algorithms for solving the discrepancy equation in ill-posed problems, ’96 Symposium on Computation Physics for Chinese Overseas and at Home, June 23–28, 1996, Beijing.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, YF., Xiao, TY. (2000). Fast Convergent Algorithms for Solving 2D Integral Equations of the First Kind. In: Chen, Z., Ewing, R.E., Shi, ZC. (eds) Numerical Treatment of Multiphase Flows in Porous Media. Lecture Notes in Physics, vol 552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45467-5_28

Download citation

  • DOI: https://doi.org/10.1007/3-540-45467-5_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67566-2

  • Online ISBN: 978-3-540-45467-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics