RUS  ENG
Full version
PEOPLE

Korablev A I

Publications in Math-Net.Ru

  1. A general method for finding the direction of descent in $\varepsilon$-subgradient methods

    Issled. Prikl. Mat., 20 (1992),  50–58
  2. One approach to designing numerically implementable algorithms of the $\varepsilon$-subgradient method

    Issled. Prikl. Mat., 10 (1984),  76–81
  3. The method of the conditional $\varepsilon$-subgradient

    Izv. Vyssh. Uchebn. Zaved. Mat., 1983, no. 9,  22–26
  4. Numerical solution of sample minimization problems by the $\varepsilin$-subgradient method

    Issled. Prikl. Mat., 8 (1980),  9–14
  5. Relaxation methods of minimization of pseudoconvex functions

    Issled. Prikl. Mat., 8 (1980),  3–8
  6. A method for the determination of the minimax

    Issled. Prikl. Mat., 7 (1979),  19–23
  7. A certain algorithm of the $\varepsilon$-subgradient minimization method and its application

    Issled. Prikl. Mat., 7 (1979),  12–18
  8. $\varepsilon$-Subgradient method for the solution of nonlinear extremal problems

    Issled. Prikl. Mat., 7 (1979),  3–11
  9. Relaxation methods for minimizing pseudoconvex functions

    Izv. Vyssh. Uchebn. Zaved. Mat., 1978, no. 10,  99–101
  10. Pseudoconvex functionals, and their extremal properties

    Izv. Vyssh. Uchebn. Zaved. Mat., 1974, no. 4,  27–31
  11. Sufficient conditions for a global minimum in a nonlinear programming problem

    Issled. Prikl. Mat., 1 (1973),  103–108
  12. The minimization of quasicomplex functionals

    Izv. Vyssh. Uchebn. Zaved. Mat., 1972, no. 10,  27–33


© Steklov Math. Inst. of RAS, 2026