Skip to main content
Log in

The penalty method in convex programming

  • Published:
Cybernetics Aims and scope

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.

References

  1. P. Wolfe, Recent Developments in Nonlinear Programming, 1962.

  2. T. Pietrzykowski, “On an iteration method for maximizing a concave function on a convex set,” Prace ZAM, ser. A, no. 13, 1961.

  3. T. Pietrzykowski, “On a method of approximative finding conditional maximus,” Algorythmy, vol. no. 1, 1962.

  4. A. V. Fiacco and G. P. McCormick, “The sequential unconstrained minimization technique for nonlinear programming, a primal-dual method,” Manag. Sci., 10, no. 2, 1964.

    Google Scholar 

  5. N. P. Buslenko, and G. A. Sokolov, “On a class of problems of optimal distribution,” Ekonomika i matematicheskie metody, vol. 1, no. 1, Moscow, 1965.

  6. M. V. Rybashov, “The gradient method of solving problems of convex programming on an electronic model,” Avtomatika i telemekhanika, vol. 26, no. 11, Moscow, 1965.

  7. D. B. Yudin and E. G. Gol'shtein, Problems and Methods of Linear Programming [in Russian], Moscow, 1964.

  8. Okamura Kiychisa, “Some mathematical theory of the penalty method for solving optimum control problems,” J. Soc. Industr. and Appl. Math., A 2, no. 3, 1965.

  9. G. Zoutendijk, Methods of Feasible Directions [Russian translation], IL, Moscow, 1963.

    Google Scholar 

  10. A. J. Hoffman, “On approximate solutions of systems of linear inequalities,” J. Res. Nat. Bur. Standards, 49, no. 4, 1952.

    Google Scholar 

Download references

Authors

Additional information

Kibernetika, Vol. 3, No. 4, pp. 63–67, 1967

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eremin, I.I. The penalty method in convex programming. Cybern Syst Anal 3, 53–56 (1967). https://doi.org/10.1007/BF01071708

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01071708

Keywords

Navigation