Journal of Mathematical Sciences

, Volume 73, Issue 5, pp 538–543 | Cite as

Relaxation methods with step regulation for solving constrained optimization problems

  • Z. R. Gabidullina


Constrain Optimization Problem Relaxation Method Step Regulation 
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Literature Cited

  1. 1.
    F. P. Vasil’ev,Numerical Methods of Solving Extremal Problems [in Russian], Nauka, Moscow (1980).Google Scholar
  2. 2.
    Z. R. Gabidullina, “On the convergence of the constrained gradient method of a class of nonconvex functions,”Issled. po Priklad. Mat., No. 14, 15–25 (1987).MATHGoogle Scholar
  3. 3.
    Ya. I. Zabotin, A. I. Korablev, “Pseudoconvex functionals and their extremal properties,”Izv. Vuzov. Mat., No. 4, 27–31 (1974).MathSciNetGoogle Scholar
  4. 4.
    T. V. Konnov, “Application of the method of conjugate subgradients to minimizing quasiconvex functionals,”Issled. po Priklad. Mat., No. 12, 46–58 (1984).MATHMathSciNetGoogle Scholar
  5. 5.
    B. N. Pshenichnyi and Yu. M. Danilin,Numerical Methods in Extremal Problems [in Russian], Nauka, Moscow (1975).Google Scholar
  6. 6.
    F. Plastria, “Lower subdifferentiable functions and their minimization by cutting planes,”J. Opt. Th. Appl.,46, No. 1, 37–53 (1985).MATHMathSciNetGoogle Scholar

Copyright information

© Plenum Publishing Corporation 1995

Authors and Affiliations

  • Z. R. Gabidullina

There are no affiliations available

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