Generalized gradients in dynamic optimization, optimal control, and machine learning problems by V. I. Norkin

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A Stochastic Smoothing Method for Nonsmooth Global Optimization by V. I. Norkin

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A new projective exact penalty function for a general constrained optimization by V. I. Norkin

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B&B method for discrete partial order and quasiorder optimizations by V. I. Norkin

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Substantiation of the backpropagation technique via the Hamilton—Pontryagin formalism for training nonconvex nonsmooth neural networks by V. I. Norkin

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On the finite convergence of the NN classification learning on mistakes by V. I. Norkin

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Optimization models of anti-terrorist protection by V. I. Norkin

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Stochastic generalized gradient methods for training nonconvex nonsmooth neural networks by V. I. Norkin

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About convergence conditions for the empirical mean method of stochastic programming by P. S. Knopov, V. I. Norkin

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Stochastic optimization models of actuarial mathematics by Ju. M. Ermolev, V. I. Norkin, B. V. Norkin

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Modern stochastic quasi-gradient optimization algorithms by V. I. Norkin, A. Y. Kozyriev, B. V. Norkin

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Numerical simulation of the insurance business by means of markov chains by V. I. Norkin, I. G. Magdenko, B. V. Norkin

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Models of the optimal resources allocation for the critical infrastructure protection by V. I. Norkin, A. A. Gajvoronskij, V. A. Zaslavskij, P. S. Knopov

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