Skip to main content
Log in

On global unconstrained minimization of the difference of polyhedral functions

  • Published:
Journal of Global Optimization Aims and scope Submit manuscript

Abstract

The problem of finding a global minimizer of the difference of polyhedral functions is considered. By means of conjugate functions, necessary and sufficient conditions for the unboundedness and the boundedness of such functions in R n are derived. Using hypodifferentials of polyhedral functions, necessary and sufficient conditions for a global unconstrained minimum on R n are proved.

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. Aleksandrov A.D.: On surfaces represented as the difference of convex functions. (Russian) Izvestiya Akad. Nauk Kazah. SSR. 60. 3, 3–20 (1949)

    Google Scholar 

  2. Aleksandrov A.D.: Surfaces represented by the differences of convex functions. (Russian) Doklady Akad. Nauk SSSR (N.S.) 72, 613–616 (1950)

    Google Scholar 

  3. Demyanov V.F.: Quasidifferential Optimization: Algorithms for QD Functions. In: Floudas, C.A., Pardalos, P.M. (eds) Encyclopedia of Optimization, 2nd edn., pp. 3178–3184. Springer, Berlin (2009)

    Chapter  Google Scholar 

  4. Demyanov, V.F., Vasiljev, L.V.: Nondifferentiable optimization (Russian). In: Nauka, M. (ed.) (1981). (English translation by Springer—Optimization Software Inc., NY, 1985)

  5. Demyanov V.F., Rubinov A.M.: Constructive nonsmooth analysis. Peter Lang Verlag, Francfurt a/M (1995)

    Google Scholar 

  6. Hartman P.: On functions representable as a difference of convex functions. Pac. J. Math. 9, 707–713 (1959)

    Google Scholar 

  7. Hiriart-Urruty J.-B.: From convex minimization to nonconvex minimization: necessary and sufficient conditions for global optimality. In: Clarke, F.N., Demyanov, V.F., Giannessi, F. (eds) Nonsmooth optimization and related topics, pp. 219–240. Plenum, New York (1989)

    Google Scholar 

  8. Horst R, Pardalos P.M., Thoai N.V.: Introduction to Global Optimization, 2nd edn. Springer, Berlin (2000)

    Google Scholar 

  9. Kusraev A.G., Kutateladze S.S.: Subdifferential calculus (Russian). Nauka, Novosibirsk (1987)

    Google Scholar 

  10. Martinez-Legaz J.-E., Volle M.: Duality in D.C. programming: the case of several D.C. constraints. J. Math. Anal. Appl. 232(2), 657–671 (1999)

    Article  Google Scholar 

  11. Pardalos P.M., Romeijn E., Tuy H.: Recent developments and trends in global optimization. J. Comput. Appl. Math. 124(1-2), 209–228 (2000)

    Article  Google Scholar 

  12. Pardalos, P.M., Resende, M.G.C. (eds): Handbook of Applied Optimization. Oxford University Press, Oxford (2002)

    Google Scholar 

  13. Polyakova L.N.: Necessary conditions for an extremum of quasidifferential functions. Vestn. Leningrad Univ. 13, 57–62 (1980)

    Google Scholar 

  14. Rockafellar R.: Convex analysis. Prinston University Press, Prinston (1970)

    Google Scholar 

  15. Stavroulakis G.E.: Quasidifferential optimization: codifferentiable Functions. In: Floudas, C.A., Pardalos, P.M. (eds) Encyclopedia of Optimization, 2nd edn., pp. 3194–3197. Springer, Berlin (2009)

    Chapter  Google Scholar 

  16. Strekalovskij A.S.: To a problem of a global extremum. Doklady USSR Acad. Sci. 292(5), 1062–1066 (1989)

    Google Scholar 

  17. Strekalovskij A.S.: Global optimality conditions for nonconvex optimization. JOGO 12(4), 415–434 (1998)

    Article  Google Scholar 

  18. Strekalovskij A.S.: On global optimality conditions for d.c. programming problems. Irkutsk University Press, Irkutsk (1997)

    Google Scholar 

  19. Tao P.D., Hoai An L.T.: Convex analysis approaches to DC programming: theory, algorithms and applications. Acta Math. Vietnam. 22(1), 289–355 (1997)

    Google Scholar 

  20. Thoai N.V.: A modified Version of Tuy’s method for solving d.c. programming problems. Optimization 19(5), 665–674 (1988)

    Article  Google Scholar 

  21. Toland J.F.: On subdifferential calculus and duality in nonconvex optimization. Bull. Soc. Math. France Memoire 60, 173–180 (1979)

    Google Scholar 

  22. Tuy H.: Global minimization of a difference of two convex functions. Math. Program. Study 30, 150–182 (1987)

    Google Scholar 

  23. Tuy H.: D.c. optimization: theory, methods and algorithms. In: Horst, R., Pardalos, P.M. (eds) Handbook of Global Optimization, pp. 149–216. Kluwer, Normell, MA (1995)

    Google Scholar 

  24. Tuy H.: D.c. programming. In: Floudas, C.A., Pardalos, P.M. (eds) Encyclopedia of Optimization, 2nd edn., pp. 607–612. Springer (2009)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lyudmila N. Polyakova.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Polyakova, L.N. On global unconstrained minimization of the difference of polyhedral functions. J Glob Optim 50, 179–195 (2011). https://doi.org/10.1007/s10898-010-9589-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10898-010-9589-6

Keywords

Navigation