Skip to main content
Log in

ε-optimality criteria for convex programming problems via exact penalty functions

  • Published:
Mathematical Programming Submit manuscript

Abstract

In this paper, we presentε-optimality criteria for convex programming problems associated with exact penalty functions. Several authors have given various criteria under the assumption that such convex problems and the associated dual problems can be solved. We assume the solvability of neither the convex problem nor the dual problem. To derive our criteria, we estimate the size of the penalty parameter in terms of anε-solution for the dual problem.

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. D.P. Bertsekas, “Necessary and sufficient conditions for a penalty method to be exact,”Mathematical Programming 9 (1975) 87–99.

    Google Scholar 

  2. S.-P. Han and O.L. Mangasarian, “Exact penalty functions in nonlinear programming,”Mathematical Programming 17 (1979) 251–269.

    Google Scholar 

  3. J.-B. Hiriart Urruty, “ε-Subdifferential calculus,” in: J.-P. Aubin and R.B. Vinter, eds.,Convex Analysis and Optimization. Research Notes in Mathematics Series No. 57 (Pitman, Boston, MA, 1982) pp. 43–92.

    Google Scholar 

  4. P. Loridan, “Necessary conditions forε-optimality,”Mathematical Programming Study 19 (1982) 140–152.

    Google Scholar 

  5. P. Loridan and J. Morgan, “Penalty functions inε-programming andε-minimax problems,”Mathematical Programming 26 (1983) 213–231.

    Google Scholar 

  6. O.L. Mangasarian, “Sufficiency of exact penalty minimization,”SIAM Journal on Control and Optimization 23 (1985) 30–37.

    Google Scholar 

  7. R.T. Rockafellar,Convex Analysis (Princeton University Press, Princeton, NJ, 1970).

    Google Scholar 

  8. E. Rosenberg, “Exact penalty functions and stability in locally Lipschitz programming,”Mathematical Programming 30 (1984) 340–356.

    Google Scholar 

  9. J.J. Strodiot, V.H. Nguyen and N. Heukemes, “ε-Optimal solutions in nondifferentiable convex programming and some related questions,”Mathematical Programming 25 (1983) 307–328.

    Google Scholar 

  10. W.I. Zangwill, “Nonlinear programming via penalty functions,”Management Science 13 (1967) 344–358.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yokoyama, K. ε-optimality criteria for convex programming problems via exact penalty functions. Mathematical Programming 56, 233–243 (1992). https://doi.org/10.1007/BF01580901

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01580901

Key words

Navigation