Skip to main content
Log in

An application of the algorithm of the cyclic coordinate descent in multidimensional optimization problems with constrained speed

  • Original Paper
  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

In this paper we present an application of the algorithm of the cyclic coordinate descent in multidimensional variational problems with constrained speed, the physical motivation of the problem being the optimization of hydrothermal systems. The proof of the convergence of the succession generated by the algorithm was based on the use of an appropriate adaptation of Zangwill’s global theorem of convergence. We have also included an algorithm for the formal construction of the descending succession (the solution of an optimum control problem), the approximation of which we carried out using an adaptation of the Euler method in conjunction with a procedure inspired by the shooting method.

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.

Similar content being viewed by others

References

  1. Mwakabuta, N., Kyaruzi, A.: Short-term scheduling of a hydro-thermal system using linear programming technique. In: Proceedings of the 6th International Power Engineering Conference, pp. 731–736 (2003)

  2. Baskar, S., Subbaraj, P., Rao, M.V.C.: Hybrid evolutionary programming solution to short term hydro thermal scheduling problem. J. Inst. Eng. India, Electr. Eng. Div. 82, 236–242 (2002)

    Google Scholar 

  3. Gil, E., Bustos, J., Rudnick, H.: Short-term hydrothermal generation scheduling model using a genetic algorithm. IEEE Trans. Power Syst. 18(4), 1256–1264 (2003)

    Article  Google Scholar 

  4. Zoumas, C.E., Bakirtzis, A.G., Theocharis, J.B., Petridis, V.: A genetic algorithm solution approach to the hydrothermal coordination problem. IEEE Trans. Power Syst. 19(3), 1356–1364 (2004)

    Article  Google Scholar 

  5. Salam, M.S.: Comparison of Lagrangian relaxation and truncated dynamic programming methods for solving hydrothermal coordination problems. In: Proceedings of International Conference on Intelligent Sensing and Information Processing, pp. 265–270 (2004)

  6. Salam, M.S., Nor, K.M., Hamdan, A.R.: Hydrothermal scheduling based lagrangian relaxation approach to hydrothermal coordination. IEEE Trans. Power Syst. 13(1), 226–235 (1998)

    Article  Google Scholar 

  7. Redondo, N.J., Conejo, A.J.: Short-term hydro-thermal coordination by Lagrangian relaxation: solution of the dual problem. IEEE Trans. Power Syst. 14(1), 89–95 (1999)

    Article  Google Scholar 

  8. Tseng, P., Bertsekas, D.: Relaxation methods for problems with strictly convex costs and linear constraints. Math. Oper. Res. 16(3), 462–481 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  9. Luo, Z.Q., Tseng, P.: On the convergence of the coordinate descent method for convex differentiable minimization. J. Optim. Theory Appl. 72(1), 7–35 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  10. Tseng, P.: Convergence of a block coordinate descent method for nondifferentiable minimization. J. Optim. Theory Appl. 109(3), 475–494 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  11. Rätsch, G., Mika, S., Warmuth, M.: On the convergence of leveraging. In: Dietterich, T.G., Becker, S., Ghahramani, Z. (eds.), Advances in Neural Information Processing Systems 14. MIT, Cambridge, MA (2002)

    Google Scholar 

  12. Rätsch, G., Warmuth, M., Mika, S., Onoda, T., Lemm, S., Müller, K.: Barrier boosting. In: Proceedings of the Thirteenth Annual Conference on Computational Learning Theory, pp. 170–179 (2000)

  13. Chambolle, A., Lions, P.L.: Image recovery via total variation minimization and related problems. Numer. Math. 76(2), 167–188 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  14. Fan, A., Wells, W., Fisher, J., Çetin, M., Haker, S., Mulkern, R., Tempany, C., Willsky, A.: A unified variational approach to denoising and bias correction in MR. Lecture Notes in Computer Science, vol. 2732, pp. 148–159 (2003)

  15. Bayón, L., Grau, J.M., Suárez, P.M.: A new formulation of the equivalent thermal in optimization of hydrothermal systems. Math. Probl. Eng. 8(3), 181–196 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  16. Bayón, L., Grau, J.M., Ruiz, M.M., Suárez, P.M.: New developments on equivalent thermal in hydrothermal optimization: an algorithm of approximation. J. Comput. Appl. Math. 175(1), 63–75 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  17. Santos, M.S., Vigo-Aguiar, J.: Analysis of a numerical dynamic programming algorithm applied to economic models. Econometrica 66(2), 409–426 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  18. Santos, M.S., Vigo-Aguiar, J.: Error bounds for a numerical solution for dynamic economic models. Appl. Math. Lett. 9(4), 41–45 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  19. Bayón, L., Grau, J.M., Suárez, P.M.: A necessary condition for broken extremals in problems involving inequality constraints. Archives Inequalities Appl. 1(1), 75–84 (2003)

    MATH  Google Scholar 

  20. Zangwill, W.L.: Nonlinear Programming: a Unified Approach. Prentice Hall, New Jersey (1969)

    MATH  Google Scholar 

  21. Bayón, L., Grau, J.M., Ruiz, M.M., Suárez, P.M.: Nonsmooth optimization hydrothermal problem. In: Proceedings of the Computational and Mathematical Method on Sciences and Engineering, vol. 1, pp. 116–125 (2004)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to L. Bayón.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bayón, L., Grau, J.M., Ruiz, M.M. et al. An application of the algorithm of the cyclic coordinate descent in multidimensional optimization problems with constrained speed. Numer Algor 52, 129–149 (2009). https://doi.org/10.1007/s11075-008-9261-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-008-9261-0

Keywords

Navigation