Skip to main content
Log in

Multigrid Optimization Methods for the Optimal Control of Convection–Diffusion Problems with Bilinear Control

  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

Optimal control problems, governed by convection–diffusion equations with bilinear control, are studied. For the realization of the numerical solution, the multigrid for optimization method together with finite difference discretization is utilized and investigated. In addition, the extension to constrained optimal control problems with bilinear control is considered. Results of numerical experiments show the computational performance of the proposed multigrid scheme in solving optimal control problems subject to a convection–diffusion equation with bilinear control. We obtain that the proposed multigrid strategy accelerates classical one-grid optimization schemes and inherits the order of convergence of the finite difference discretization. Moreover, the mesh independence principle is obtained, which is a typical characterization of a multigrid strategy.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Baek, H., Kim, S.D., Lee, H.: A multigrid method for an optimal control problem of a diffusion–convection equation. J. Korean Math. Soc. 47(1), 83–100 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Borzì, A., Borzì, G.: An efficient algebraic multigrid method for solving optimality systems. Comput. Vis. Sci. 7(3–4), 183–188 (2004)

    MathSciNet  MATH  Google Scholar 

  3. Borzì, A., Schulz, V.: Computational Optimization of Systems Governed by Partial Differential Equations. SIAM, Philadelphia (2011)

    Book  Google Scholar 

  4. Kröner, A., Vexler, B.: A priori error estimates for elliptic optimal control problems with bilinear state equation. J. Comput. Appl. Mech. 230(2), 781–802 (2009)

    Article  MATH  Google Scholar 

  5. Schöberl, J., Simon, R., Zulehner, W.: A robust multigrid method for elliptic optimal control problems. SIAM J. Numer. Anal. 49(4), 1482–1503 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  6. Vallejos, M., Borzì, A.: Multigrid optimization methods for linear and bilinear elliptic optimal control problems. Computing 82(1), 31–52 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  7. Borzì, A., Kunisch, K.: A multigrid scheme for elliptic constrained optimal control problems. Comput. Optim. Appl. 31(3), 309–333 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  8. Borzì, A., Kunisch, K., Kwak, D.Y.: Accuracy and convergence properties of the finite difference multigrid solution of an optimal control optimality system. SIAM J. Control Optim. 41(5), 1477–1497 (2002)

    Article  MathSciNet  Google Scholar 

  9. Axelsson, O., Nikolova, M.: Adaptive refinement for convection–diffusion problems based on a defect-correction technique and finite difference method. Computing 58(1), 1–30 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  10. Becker, R., Vexler, B.: Optimal control of the convection–diffusion equation using stabilized finite element methods. Numer. Math. 106(3), 349–367 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  11. Heinkenschloss, M., Leykekhman, D.: Local error estimates for SUPG solutions of advection-dominated elliptic linear-quadratic optimal control. SIAM J. Numer. Anal. 47(6), 4607–4638 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  12. Hinze, M., Yan, N., Zhou, Z.: Variational discretization for optimal control governed by convection–dominated diffusion equations. J. Comput. Math. 27(2–3), 237–253 (2009)

    MathSciNet  MATH  Google Scholar 

  13. Kim, D., Park, E.-J.: A posteriori error estimators for the upstream weighting mixed methods for convection diffusion problems. Comput. Methods Appl. Mech. Eng. 197(6–8), 806–820 (2008)

    Article  MATH  Google Scholar 

  14. Yücel, H., Heinkenschloss, M., Karasözen, B.: An adaptive discontinuous Galerkin method for convection dominated distributed optimal control problems. Submitted 2012

  15. Olshanskii, M., Reusken, A.: Convergence analysis of a multigrid method for a convection-dominated model problem. SIAM J. Numer. Anal. 42(3), 1261–1291 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  16. Reusken, A.: Convergence analysis of a multigrid method for convection–diffusion equations. Numer. Math. 91, 323–349 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  17. Verfürth, R.: Robust a posteriori error estimates for stationary convection–diffusion equations. SIAM J. Numer. Anal. 43(4), 1766–1782 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  18. Hinze, M., Pinnau, R., Ulbrich, M., Ulbrich, S.: Optimization with PDE Constraints. Mathematical Modelling: Theory and Applications, vol. 23. Springer, Heidelberg (2009)

    Google Scholar 

  19. Tröltzsch, F.: Optimal Control of Partial Differential Equations: Theory, Methods and Applications. Graduate Studies in Mathematics, vol. 112. American Mathematical Society, Providence (2010)

    Google Scholar 

  20. Lions, J.L.: Optimal Control of Systems Governed by Partial Differential Equations. Springer, Berlin (1971)

    Book  MATH  Google Scholar 

  21. Borzì, A.: On the convergence of the MG/OPT method. PAMM 5(1), 735–736 (2005)

    Article  Google Scholar 

  22. Dreyer, T., Maar, B., Schulz, V.: Multigrid optimization in applications. J. Comput. Appl. Math. 120(1–2), 67–84 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  23. Lewis, R.M., Nash, S.: Model problems for the multigrid optimization of systems governed by differential equations. SIAM J. Sci. Comput. 26(6), 1811–1837 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  24. Nash, S.: A multigrid approach to discretized optimization problems. Optim. Methods Softw. 14(1–2), 99–116 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  25. Vallejos, M.: MGOPT with gradient projection method for solving bilinear elliptic optimal control problems. Computing 87(1–2), 21–33 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  26. Oh, S., Bouman, C., Webb, K.: Multigrid tomographic inversion with variable resolution data and image spaces. IEEE Trans. Image Process. 15(9), 2805–2819 (2006)

    Article  Google Scholar 

  27. Trottenberg, U., Oosterlee, C., Schüller, A.: Multigrid. Academic Press, London (2001)

    MATH  Google Scholar 

  28. Dai, Y.H., Yuan, Y.: A nonlinear conjugate gradient method with a strong global convergence property. SIAM J. Optim. 10(1), 177–182 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  29. Nocedal, J., Wright, S.: Numerical Optimization. Springer Series in Operations Research. Springer, New York (2006)

    Google Scholar 

  30. Gilbert, J.C., Nocedal, J.: Global convergence properties of conjugate gradient methods for optimization. SIAM J. Optim. 2(1), 21–42 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  31. Borzì, A., Salomon, J., Volkwein, S.: Formulation and numerical solution of finite-level quantum optimal control problem. J. Comput. Appl. Math. 216(1), 170–197 (2008)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

The work of E.-J. Park was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology NRF-2012R1A2A2A01046471. M. Vallejos Lass gratefully acknowledges the support by the Office of the Vice President for Academic Affairs, of the University of the Philippines Diliman, through the Creative Work and Research Grant. M. Vallejos Lass was supported in part by the WCU program through NRF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Vallejos Lass.

Additional information

Communicated by Boris Vexler.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Borzì, A., Park, EJ. & Lass, M.V. Multigrid Optimization Methods for the Optimal Control of Convection–Diffusion Problems with Bilinear Control. J Optim Theory Appl 168, 510–533 (2016). https://doi.org/10.1007/s10957-015-0791-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-015-0791-z

Keywords

Mathematics Subject Classification

Navigation