Skip to main content
Log in

Choice of Finite-Difference Schemes in Solving Coefficient Inverse Problems

  • GENERAL NUMERICAL METHODS
  • Published:
Computational Mathematics and Mathematical Physics Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

Various choices of a finite-difference scheme for approximating the heat diffusion equation in solving a three-dimensional coefficient inverse problem were studied. A comparative analysis was conducted for several alternating direction schemes, such as locally one-dimensional, Douglas–Rachford, and Peaceman–Rachford schemes, as applied to nonlinear problems for the three-dimensional heat equation with temperature-dependent coefficients. Each numerical method was used to compute the temperature distribution inside a parallelepiped. The methods were compared in terms of the accuracy of the resulting solution and the computation time required for achieving the prescribed accuracy on a computer.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  1. V. I. Zubov, “Application of fast automatic differentiation for solving the inverse coefficient problem for the heat equation,” Comput. Math. Math. Phys. 56 (10), 1743–1757 (2016).

    Article  MathSciNet  Google Scholar 

  2. A. F. Albu, Y. G. Evtushenko, and V. I. Zubov, “Identification of discontinuous thermal conductivity coefficient using fast automatic differentiation,” in Learning and Intelligent Optimization LION 2017, Ed. by R. Battiti, D. Kvasov, and Y. Sergeyev, Lecture Notes in Computer Science (Springer, Cham, 2017), Vol. 10556, pp. 295–300.

    Google Scholar 

  3. V. I. Zubov and A. F. Albu, “The FAD-methodology and recovery of the thermal conductivity coefficient in two dimension case,” Proceedings of the 8th International Conference on Optimization Methods and Applications ‘Optimization and Applications’ (2017), pp. 39–44.

  4. A. F. Albu and V. I. Zubov, “Identification of thermal conductivity coefficient using a given temperature field,” Comput. Math. Math. Phys. 58 (10), 1585–1599 (2018).

    Article  MathSciNet  Google Scholar 

  5. A. F. Albu and V. I. Zubov, “Identification of the thermal conductivity coefficient using a given surface heat flux,” Comput. Math. Math. Phys. 58 (12), 2031–2042 (2018).

    Article  MathSciNet  Google Scholar 

  6. A. Albu and V. Zubov, “Identification of the thermal conductivity coefficient in two dimension case,” Optim. Lett. 13 (8), 1727–1743 (2019).

    Article  MathSciNet  Google Scholar 

  7. A. Albu and V. Zubov, “On the stability of the algorithm of identification of the thermal conductivity coefficient,” in Optimization and Applications: OPTIMA 2018, Ed. by Y. Evtushenko, M. Jaćimović, M. Khachay, Y. Kochetov, V. Malkova, and M. Posypkin, Communications in Computer and Information Science (Springer, Cham, 2019), Vol. 974, pp. 247–263.

  8. Yu. G. Evtushenko, Optimization and Fast Automatic Differentiation (Vychisl. Tsentr Ross. Akad. Nauk, Moscow, 2013) [in Russian].

    Google Scholar 

  9. Yu. G. Evtushenko and V. I. Zubov, “Generalized fast automatic differentiation technique,” Comput. Math. Math. Phys. 56 (11), 1819–1833 (2016).

    Article  MathSciNet  Google Scholar 

  10. A. Albu, Y. Evtushenko, and V. Zubov, “On optimization problem arising in computer simulation of crystal structures,” in Optimization and Applications: OPTIMA 2019, Ed. by M. Jaćimović, M. Khachay, V. Malkova, and M. Posypkin, Communications in Computer and Information Science (Springer, Cham, 2020), Vol. 1145, pp. 115–126.

  11. A. A. Samarskii, The Theory of Difference Schemes (Nauka, Moscow, 1977; Marcel Dekker, New York, 2001).

  12. Ch. Gao and Y. Wang, “A general formulation of Peaceman and Rachford ADI method for the N-dimensional heat diffusion equation,” Int. Commun. Heat Mass Transfer 23 (6), 845–854 (1996).

    Article  Google Scholar 

  13. J. Thibault, “Comparison of nine three-dimensional numerical methods for the solution of the heat diffusion equation,” Numer. Heat Transfer Fundamentals 8 (3), 281–298 (1985).

    MATH  Google Scholar 

  14. D. W. Peaceman and H. H. Rachford, “The numerical solution of parabolic and elliptic differential equations,” J. Soc. Ind. Appl. Math. 3 (1), 28–41 (1955).

    Article  MathSciNet  Google Scholar 

  15. A. A. Samarskii and P. N. Vabishchevich, Computational Heat Transfer (Wiley, New York, 1996; Editorial URSS, Moscow, 2003).

  16. J. Douglas and H. H. Rachford, “On the numerical solution of heat conduction problems in two and three space variables,” Trans. Am. Math. Soc. 82, 421–439 (1956).

    Article  MathSciNet  Google Scholar 

  17. A. F. Albu, Yu. G. Evtushenko, and V. I. Zubov, “Application of the fast automatic differentiation technique for solving inverse coefficient problems,” Comput. Math. Math. Phys. 60 (1), 15–25 (2020).

    Article  MathSciNet  Google Scholar 

  18. A. V. Albu, A. F. Albu, and V. I. Zubov, “Control of substance solidification in a complex-geometry mold,” Comput. Math. Math. Phys. 52 (12), 1612–1623 (2012).

    Article  MathSciNet  Google Scholar 

  19. A. F. Albu and V. I. Zubov, “Investigation of the optimal control of metal solidification for a complex-geometry object in a new formulation,” Comput. Math. Math. Phys. 54 (12), 1804–1816 (2014).

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. I. Zubov.

Additional information

Translated by I. Ruzanova

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Albu, A.F., Evtushenko, Y.G. & Zubov, V.I. Choice of Finite-Difference Schemes in Solving Coefficient Inverse Problems. Comput. Math. and Math. Phys. 60, 1589–1600 (2020). https://doi.org/10.1134/S0965542520100048

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0965542520100048

Keywords:

Navigation