Skip to main content
Log in

Numerical experience with a polyhedral-norm CDT trust-region algorithm

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

Abstract

In this paper, we study a modification of the Celis-Dennis-Tapia trust-region subproblem, which is obtained by replacing thel 2-norm with a polyhedral norm. The polyhedral norm Celis-Dennis-Tapia (CDT) subproblem can be solved using a standard quadratic programming code.

We include computational results which compare the performance of the polyhedral-norm CDT trust-region algorithm with the performance of existing codes. The numerical results validate the effectiveness of the approach. These results show that there is not much loss of robustness or speed and suggest that the polyhedral-norm CDT algorithm may be a viable alternative. The topic merits further investigation.

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. Celis, M. R., Dennis, J. E., andTapia, R. A.,A Trust-Region Strategy for Nonlinear Equality Constrained Optimization, Numerical Optimization, Edited by P. Boggs, R. Byrd, and R. Schnabel, SIAM Publications, Philadelphia, Pennsylvania, pp. 71–82, 1985.

    Google Scholar 

  2. Celis, M. R.,A Trust-Region Strategy for Nonlinear Equality Constrained Optimization, PhD Thesis, Rice University, Houston, Texas, 1985.

    Google Scholar 

  3. El-Alem, M. M.,A Global Convergence Theory for a Class of Trust-Region Algorithms for Constrained Optimization, PhD Thesis, Rice University, Houston, Texas, 1988.

    Google Scholar 

  4. El-Alem, M. M.,A Global Convergence Theory for the Celis-Dennis-Tapia Trust-Region Algorithm for Constrained Optimization, SIAM Journal on Numerical Analysis, Vol. 24, pp. 266–290, 1991.

    Article  Google Scholar 

  5. Yuan, Y.,A Dual Algorithm for Minimizing a Quadratic Function with Two Quadratic Constraints, Technical Report DAMTP-NA3, University of Cambridge, Cambridge, England, 1988.

    Google Scholar 

  6. Yuan, Y.,On a Subproblem of Trust-Region Algorithms for Constrained Optimization, Mathematical Programming, Vol. 47, pp. 53–63, 1990.

    Article  Google Scholar 

  7. Zhang, Y.,Computing a Celis-Dennis-Tapia Trust-Region Step for Equality Constrained Optimization, Mathematical Programming, Vol. 55, pp. 109–124, 1992.

    Article  Google Scholar 

  8. Tapia, R. A.,Diagonalized Multiplier Methods and Quasi-Newton Methods for Constrained Optimization, Journal of Optimization Theory and Applications, Vol. 22, pp. 135–194, 1977.

    Article  Google Scholar 

  9. Tapia, R. A.,Quasi-Newton Methods for Equality Constrained Optimization: Equivalence of Existing Methods and a New Implementation, Nonlinear Programming 3, Edited by O. L. Mangasarian, R. R. Meyer, and S. M. Robinson, Academic Press, New York, New York, pp. 125–164, 1978.

    Google Scholar 

  10. Dennis, J. E., andSchnabel, R. B.,Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice-Hall, Englewood Cliffs, New Jersey, 1983.

    Google Scholar 

  11. Celis, M. R., Dennis, J. E., Martinez, J. M., Tapia, R. A., andWilliamson, K.,An Algorithm Based on a Convenient Trust-Region Subproblem for Nonlinear Programming (to appear).

  12. Williamson, K.,A Robust Trust-Region Algorithm for Nonlinear Programming, PhD Thesis, Rice University, Houston, Texas, 1990.

    Google Scholar 

  13. Powell, M. J. D., andYuan, Y.,A Trust-Region Algorithm for Equality Constrained Optimization, Mathematical Programming, Vol. 49, pp. 189–211, 1991.

    Article  Google Scholar 

  14. Byrd, R., andOmojokun, E.,Robust Trust-Region Methods for Nonlinearly Constrained Optimization, Paper Presented at the SIAM Conference on Optimization, Houston, Texas, 1987.

  15. Hock, W., andSchittkowski, K.,Test Examples for Nonlinear Programming Codes, Lecture Notes in Economics and Mathematical Systems, Springer Verlag, Berlin, Germany, Vol. 187, 1981.

    Google Scholar 

  16. Gill, P. E., Murray, W., Saunders, M. A., andWright, M.,User's Guide for QPSOL:A Fortran Package for Quadratic Programming, Report SOL 84-2, Stanford University, Stanford, California, 1984.

    Google Scholar 

  17. Gill, P. E., Murray, W., Saunders, M. A., andWright, M.,User's Guide for NPSOL:A Fortran Package for Nonlinear Programming, Report SOL 83-12, Stanford University, Stanford, California, 1983.

    Google Scholar 

  18. Schittkowski, K.,NLPQL:A Fortran Subroutine Solving Constrained Non-linear Programming Problems, Annals of Operations Research, Vol. 5, pp. 485–500, 1986.

    Article  Google Scholar 

  19. Powell, M. J. D.,A Fast Algorithm for Nonlinearly Constrained Optimization Calculations, Lecture Notes in Mathematics, Springer Verlag, Berlin, Germany, Vol. 630, pp. 144–157, 1978.

    Google Scholar 

  20. Powell, M. J. D.,Extensions to Subroutine VF02AD, Lecture Notes in Control and Information Science, Springer Verlag, New York, Vol. 38, 1982.

    Google Scholar 

  21. Powell, M. J. D.,The Performance of Two Subroutines for Constrained Optimization on Some Difficult Test Problems, Numerical Optimization, Edited by R. Boggs, R. Byrd, and B. Schnabel, SIAM Publications, Philadelphia, Pennsylvania, pp. 71–82, 1984.

    Google Scholar 

  22. El-Alem, M. M., andTapia, R. A.,Numerical Experience with a Polyhedral-Norm CDT Trust-Region Algorithm, Technical Report 93-26, Department of Computational and Applied Mathematics, Rice University, Houston, Texas, 1993.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

The first author was supported in part by the REDI foundation and State of Texas Award, Contract 1059 as Visiting Member of the Center for Research on Parallel Computation, Rice University, Houston, Texas, He thanks Rice University for the congenial scientific atmosphere provided. The second author was supported in part by the National Science Foundation, Cooperative Agreement CCR-88-09615, Air Force Office of Scientific Research Grant 89-0363, and Department of Energy Contract DEFG05-86-ER25017.

Rights and permissions

Reprints and permissions

About this article

Cite this article

El-Alem, M.M., Tapia, R.A. Numerical experience with a polyhedral-norm CDT trust-region algorithm. J Optim Theory Appl 85, 575–591 (1995). https://doi.org/10.1007/BF02193057

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02193057

Key Words

Navigation