Skip to main content
Log in

A homotopy method for nonlinear second-order cone programming

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

Abstract

This paper is concerned with a homotopy method for solving nonlinear second-order cone programming problems. The method extends to this setting a combined homotopy interior point method, recently introduced for solving nonlinear programming problems. Global convergence of a smooth curve determined by constructed homotopy is proven under mild conditions. Some numerical results are reported and show that the considered algorithm is applicable and efficient.

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. Alizadeh, F., Goldfarb, D.: Second-order cone programming. Math. Program. 95(1), 3–51 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  2. Allgower, E.L., Georg, K.: Continuation and path followingActa numerica, Acta Numer., pp 1–64. Cambridge Univ. Press, Cambridge (1993)

    Google Scholar 

  3. Allgower, E.L., Georg, K.: Introduction to Numerical Continuation MethodsClassics in Applied Mathematics, Vol. 45. SIAM, Philadelphia, PA (2003)

    Google Scholar 

  4. Bonnans, J.F., Ramírez C., H.: Perturbation analysis of second-order cone programming problems. Math. Program 104(2-3), 205–227 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  5. Bonnans, J.F., Shapiro, A.: Perturbation analysis of optimization problems. Springer Series in Operations Research. Springer-Verlag, New York (2000)

    Book  Google Scholar 

  6. Chow, S.N., Mallet-Paret, J., Yorke, J.A.: Finding zeroes of maps: homotopy methods that are constructive with probability one. Math. Comp. 32(143), 887–899 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  7. Feng, G., Yu, B.: Combined homotopy interior point method for nonlinear programming problems. In: Advances in numerical mathematics; Proceedings of the Second Japan-China Seminar on Numerical Mathematics (Tokyo, 1994). Lecture Notes Numer. Appl. Anal., vol. 14, pp 9–16.Kinokuniya (1995)

  8. Garcia, C.B., Zangwill, W.I.: Pathways to Solutions, Fixed Points and Equilibria. Prentice-Hall, Englewood Cliffs, NJ (1981)

    MATH  Google Scholar 

  9. Hayashi, S., Yamashita, N., Fukushima, M.: A combined smoothing and regularization method for monotone second-order cone complementarity problems. SIAM J. Optim 15(2), 593–615 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  10. Kanzow, C., Ferenczi, I., Fukushima, M.: On the local convergence of semismooth Newton methods for linear and nonlinear second-order cone programs without strict complementarity. SIAM J. Optim 20(1), 297–320 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  11. Kato, H., Fukushima, M.: An SQP-type algorithm for nonlinear second-order cone programs. Optim. Lett 1(2), 129–144 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  12. Kellogg, R.B., Li, T.Y., Yorke, J.: A constructive proof of the Brouwer fixed-point theorem and computational results. SIAM J. Numer. Anal 13(4), 473–483 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  13. Lin, Z.H., Li, Y., Yu, B.: A combined homotopy interior point method for general nonlinear programming problems. Appl. Math. Comput 80(2-3), 209–224 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  14. Liu, Y.J., Zhang, L.W.: Convergence analysis of the augmented Lagrangian method for nonlinear second-order cone optimization problems. Nonlinear Anal 67(5), 1359–1373 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  15. Liu, Y.J., Zhang, L.W.: Convergence of the augmented Lagrangian method for nonlinear optimization problems over second-order cones. J. Optim. Theory Appl 139(3), 557–575 (2008)

    Article  MathSciNet  Google Scholar 

  16. Lofberg, J.: Yalmip: A toolbox for modeling and optimization in matlab. In: Proceedings of the IEEE International Symposium on Computer Aided Control Systems Design, pp 284–289.Taiwan (2004)

  17. Smale, S.: A convergent process of price adjustment and global Newton methods. J. Math. Econom 3(2), 107–120 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  18. Watson, L.T.: Theory of globally convergent probability-one homotopies for nonlinear programming. SIAM J. Optim 11(3), 761–780 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  19. Watson, L.T., Billups, S.C., Morgan, A.P.: Algorithm 652. HOMPACK: a suite of codes for globally convergent homotopy algorithms. ACM Trans. Math. Software 13(3), 281–310 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  20. Yamashita, H., Yabe, H.: A primal-dual interior point method for nonlinear optimization over second-order cones. Optim. Methods Softw 24(3), 407–426 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  21. Yu, B., Zhang, S.L.: The aggregate constraint homotopy method for nonconvex nonlinear programming. Nonlinear Anal. 45(7), 839–847 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  22. Yu, B., Xu, Q., Feng, G.: On the complexity of a combined homotopy interior method for convex programming. J. Comput. Appl. Math. 200(1), 32–46 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  23. Yu, X.: A newtons method for perturbed second-order cone programs. Computational Optimization and Applications 37(3), 371–408 (2007)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Li Yang.

Additional information

The work was supported by the National Natural Science Foundation of China (11301050, 11171051, 91230103, 71172136).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, L., Yu, B. & Li, Y. A homotopy method for nonlinear second-order cone programming. Numer Algor 68, 355–365 (2015). https://doi.org/10.1007/s11075-014-9848-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-014-9848-6

Keywords

Navigation