Nemirovski Arkadi S.

Publications in Math-Net.Ru

1. Signal recovery by stochastic optimization
   
   Avtomat. i Telemekh., 2019, no. 10,  153–172
2. Algorithms of robust stochastic optimization based on mirror descent method
   
   Avtomat. i Telemekh., 2019, no. 9,  64–90
3. On sequential hypotheses testing via convex optimization
   
   Avtomat. i Telemekh., 2015, no. 5,  100–120
4. Robust energy cost optimization of water distribution system with uncertain demand
   
   Avtomat. i Telemekh., 2014, no. 10,  52–72
5. Necessary conditions for stability of polynomials and their utilization
   
   Avtomat. i Telemekh., 1994, no. 11,  113–119
6. Necessary conditions for efficient estimation of functionals of a nonparametric signal observed in white noise
   
   Teor. Veroyatnost. i Primenen., 35:1 (1990),  83–91
7. A new polynomial algorithm for linear programming
   
   Dokl. Akad. Nauk SSSR, 298:6 (1988),  1321–1325
8. Nonparametric Estimation of Functionals of the Derivatives of a Signal Observed in White Gaussian Noise
   
   Probl. Peredachi Inf., 23:3 (1987),  27–38
9. Some problems of nonparametric estimation in the Gaussian white noise
   
   Teor. Veroyatnost. i Primenen., 31:3 (1986),  451–466
10. Regularizing properties of the conjugate gradient method for ill-posed problems
    
    Zh. Vychisl. Mat. Mat. Fiz., 26:3 (1986),  332–347
11. Optimal algorithms for stochastic optimization under multiplicative noise
    
    Dokl. Akad. Nauk SSSR, 284:3 (1985),  564–567
12. Convergence Rate of Nonparametric Estimates of Maximum-Likelihood Type
    
    Probl. Peredachi Inf., 21:4 (1985),  17–33
13. Optimal methods of smooth convex minimization
    
    Zh. Vychisl. Mat. Mat. Fiz., 25:3 (1985),  356–369
14. Signal Processing by the Nonparametric Maximum-Likelihood Method
    
    Probl. Peredachi Inf., 20:3 (1984),  29–46
15. Estimators of maximum likelihood type for nonparametric regression
    
    Dokl. Akad. Nauk SSSR, 273:6 (1983),  1310–1314
16. Optimization of recurrence algorithms for estimating the parameters of linear plants
    
    Avtomat. i Telemekh., 1981, no. 6,  90–99
17. On recurrence estimation of parameters for linear processes
    
    Avtomat. i Telemekh., 1981, no. 4,  77–86
18. On Predictions under Conditions of Uncertainty
    
    Probl. Peredachi Inf., 17:4 (1981),  73–83
19. Cesari convergence of the gradient method of approximating saddle points of convex-concave functions
    
    Dokl. Akad. Nauk SSSR, 239:5 (1978),  1056–1059
20. Estimates of Information Cost of Computing Boolean Functions in Combination Circuits
    
    Probl. Peredachi Inf., 14:1 (1978),  90–100
21. Optimization methods adaptive tо «significant» dimension of the problem
    
    Avtomat. i Telemekh., 1977, no. 4,  75–87
22. The Laplace–Lévy operator on a certain class of functions
    
    Tr. Mosk. Mat. Obs., 32 (1975),  227–250
23. On the general theory of the Laplace–Levy operator
    
    Funktsional. Anal. i Prilozhen., 8:3 (1974),  79–80
24. Polynomial approximation of functions in a Hilbert space
    
    Funktsional. Anal. i Prilozhen., 7:4 (1973),  88–89
25. On polynomial approximation of functions on Hilbert space
    
    Mat. Sb. (N.S.), 92(134):2(10) (1973),  257–281
26. On a certain chain of algebras on a Hilbert sphere
    
    Funktsional. Anal. i Prilozhen., 5:1 (1971),  85–86
27. Axiomatic description of Laplace operator for functions on Hilbert space
    
    Funktsional. Anal. i Prilozhen., 3:3 (1969),  79–85


28. On optimal algorithms of adaptive control
    
    Avtomat. i Telemekh., 1984, no. 12,  64–77